Skip to content

Binary classification

Model Dataset Accuracy F1 Memory in Mb Time in s
ADWIN Bagging Bananas 0.625967 0.448218 0.400658 942.73
ADWIN Bagging Elec2 0.823773 0.776587 0.598438 8970.15
ADWIN Bagging Phishing 0.893515 0.879201 1.31008 568.218
ADWIN Bagging SMTP 0.999685 0 0.164217 8006.78
ALMA Bananas 0.506415 0.482595 0.0029211 68.9731
ALMA Elec2 0.906427 0.889767 0.00435829 836.498
ALMA Phishing 0.8256 0.810764 0.0045805 29.7613
ALMA SMTP 0.764986 0.00178548 0.00309372 1361.61
AdaBoost Bananas 0.677864 0.645041 0.453154 876.714
AdaBoost Elec2 0.880581 0.858687 13.5424 10153.7
AdaBoost Phishing 0.878303 0.863555 0.873312 552.609
AdaBoost SMTP 0.999443 0.404494 1.33633 6617.5
Adaptive Random Forest Bananas 0.88696 0.871707 15.3551 2603.02
Adaptive Random Forest Elec2 0.876608 0.852391 22.3949 12397.6
Adaptive Random Forest Phishing 0.907926 0.896116 4.10291 743.377
Adaptive Random Forest SMTP 0.999685 0 0.327095 11543.4
Aggregated Mondrian Forest Bananas 0.889413 0.874249 17.2377 2954.75
Aggregated Mondrian Forest Elec2 0.849904 0.819731 287.315 18206.6
Aggregated Mondrian Forest Phishing 0.904724 0.892112 3.39106 807.573
Aggregated Mondrian Forest SMTP 0.999863 0.734694 0.211749 5848.87
Bagging Bananas 0.634082 0.459437 0.703124 1170.85
Bagging Elec2 0.840436 0.80208 2.28896 13164.5
Bagging Phishing 0.893515 0.879201 1.38826 633.136
Bagging SMTP 0.999685 0 0.207971 8814.84
Hoeffding Adaptive Tree Bananas 0.616531 0.42825 0.0618467 163.516
Hoeffding Adaptive Tree Elec2 0.821258 0.787344 0.435328 2980.69
Hoeffding Adaptive Tree Phishing 0.874299 0.856095 0.142962 77.865
Hoeffding Adaptive Tree SMTP 0.999685 0 0.0241137 2094.95
Hoeffding Tree Bananas 0.642197 0.503405 0.0594654 93.5302
Hoeffding Tree Elec2 0.795635 0.750834 0.938466 1485.98
Hoeffding Tree Phishing 0.879904 0.860595 0.132719 54.2758
Hoeffding Tree SMTP 0.999685 0 0.0170441 1543.56
Leveraging Bagging Bananas 0.828269 0.802689 3.23571 2747.95
Leveraging Bagging Elec2 0.892653 0.871966 7.56535 18763.3
Leveraging Bagging Phishing 0.894315 0.877323 4.0114 1619.65
Leveraging Bagging SMTP 0.999674 0 0.164603 17549.6
Logistic regression Bananas 0.543208 0.197015 0.00424099 82.0689
Logistic regression Elec2 0.822144 0.777086 0.005373 953.54
Logistic regression Phishing 0.8872 0.871233 0.00556469 29.2066
Logistic regression SMTP 0.999769 0.421053 0.00438309 1531.37
Naive Bayes Bananas 0.61521 0.413912 0.0140247 97.154
Naive Bayes Elec2 0.728741 0.603785 0.0510378 1230.66
Naive Bayes Phishing 0.884708 0.871429 0.05723 38.528
Naive Bayes SMTP 0.993484 0.0490798 0.0201406 1826.47
Stacking Bananas 0.876203 0.859649 19.1946 5236.84
Stacking Elec2 0.885458 0.864157 40.7547 22944.4
Stacking Phishing 0.895116 0.882722 8.72124 2411.41
Stacking SMTP 0.999685 0 4.88868 24733.2
Streaming Random Patches Bananas 0.871674 0.854265 10.5381 3551.41
Streaming Random Patches Elec2 0.868884 0.843009 107.322 22969
Streaming Random Patches Phishing 0.913531 0.901996 6.59559 1436.69
Streaming Random Patches SMTP 0.999685 0 0.17817 18142.3
Voting Bananas 0.872617 0.849162 4.58403 2790.97
Voting Elec2 0.84368 0.797958 5.7575 13925.5
Voting Phishing 0.896717 0.884512 4.8203 1436.72
Voting SMTP 0.999779 0.487805 4.60205 18069.8
Vowpal Wabbit logistic regression Bananas 0.551321 0 0.000646591 88.7248
Vowpal Wabbit logistic regression Elec2 0.697475 0.459592 0.000646591 937.011
Vowpal Wabbit logistic regression Phishing 0.7736 0.669778 0.000646591 27.8334
Vowpal Wabbit logistic regression SMTP 0.999695 0.121212 0.000646591 1631.37
[baseline] Last Class Bananas 0.50953 0.452957 0.000510216 30.809
[baseline] Last Class Elec2 0.853303 0.827229 0.000510216 341.39
[baseline] Last Class Phishing 0.515612 0.447489 0.000510216 11.9196
[baseline] Last Class SMTP 0.999601 0.366667 0.000510216 532.359
k-Nearest Neighbors Bananas 0.885073 0.870838 4.50996 2974.33
k-Nearest Neighbors Elec2 0.853148 0.823642 4.76604 13503.4
k-Nearest Neighbors Phishing 0.881505 0.867145 4.59643 1552.65
k-Nearest Neighbors SMTP 0.999821 0.666667 4.51822 17961.1
sklearn SGDClassifier Bananas 0.546415 0.205026 0.00557804 621.426
sklearn SGDClassifier Elec2 0.819099 0.772892 0.00680161 4291.77
sklearn SGDClassifier Phishing 0.8896 0.876122 0.00701618 167.984
sklearn SGDClassifier SMTP 0.999706 0.363636 0.00574303 7118.18

Try reloading the page if something is buggy

{ "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "data": { "values": [ { "step": 106, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.490566037735849, "F1": 0.3414634146341463, "Memory in Mb": 0.0041875839233398, "Time in s": 0.00989 }, { "step": 212, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5141509433962265, "F1": 0.3832335329341317, "Memory in Mb": 0.0041875839233398, "Time in s": 0.123413 }, { "step": 318, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5220125786163522, "F1": 0.4242424242424242, "Memory in Mb": 0.0042409896850585, "Time in s": 0.315017 }, { "step": 424, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5165094339622641, "F1": 0.4023323615160349, "Memory in Mb": 0.0042409896850585, "Time in s": 0.5849610000000001 }, { "step": 530, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5320754716981132, "F1": 0.3641025641025641, "Memory in Mb": 0.0042409896850585, "Time in s": 0.937213 }, { "step": 636, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5377358490566038, "F1": 0.3287671232876712, "Memory in Mb": 0.0042409896850585, "Time in s": 1.342505 }, { "step": 742, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5525606469002695, "F1": 0.3054393305439331, "Memory in Mb": 0.0042409896850585, "Time in s": 1.895068 }, { "step": 848, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5530660377358491, "F1": 0.2808349146110057, "Memory in Mb": 0.0042409896850585, "Time in s": 2.518365 }, { "step": 954, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5555555555555556, "F1": 0.2587412587412587, "Memory in Mb": 0.0042409896850585, "Time in s": 3.1930270000000003 }, { "step": 1060, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5622641509433962, "F1": 0.2418300653594771, "Memory in Mb": 0.0042409896850585, "Time in s": 3.938137 }, { "step": 1166, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5608919382504288, "F1": 0.2242424242424242, "Memory in Mb": 0.0042409896850585, "Time in s": 4.7351090000000005 }, { "step": 1272, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5613207547169812, "F1": 0.2206703910614525, "Memory in Mb": 0.0042409896850585, "Time in s": 5.600857 }, { "step": 1378, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5645863570391872, "F1": 0.20844327176781, "Memory in Mb": 0.0042409896850585, "Time in s": 6.476079 }, { "step": 1484, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5646900269541779, "F1": 0.1965174129353233, "Memory in Mb": 0.0042409896850585, "Time in s": 7.428853 }, { "step": 1590, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5647798742138365, "F1": 0.1858823529411764, "Memory in Mb": 0.0042409896850585, "Time in s": 8.473991 }, { "step": 1696, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5660377358490566, "F1": 0.1785714285714285, "Memory in Mb": 0.0042409896850585, "Time in s": 9.59319 }, { "step": 1802, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.562708102108768, "F1": 0.1705263157894736, "Memory in Mb": 0.0042409896850585, "Time in s": 10.745503 }, { "step": 1908, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5587002096436059, "F1": 0.1679841897233201, "Memory in Mb": 0.0042409896850585, "Time in s": 11.962335 }, { "step": 2014, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5516385302879842, "F1": 0.1662049861495844, "Memory in Mb": 0.0042409896850585, "Time in s": 13.252336 }, { "step": 2120, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5495283018867925, "F1": 0.1688424717145344, "Memory in Mb": 0.0042409896850585, "Time in s": 14.603624 }, { "step": 2226, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5485175202156334, "F1": 0.1809290953545232, "Memory in Mb": 0.0042409896850585, "Time in s": 15.981958 }, { "step": 2332, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5484562607204116, "F1": 0.1967963386727688, "Memory in Mb": 0.0042409896850585, "Time in s": 17.395643 }, { "step": 2438, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5471698113207547, "F1": 0.1999999999999999, "Memory in Mb": 0.0042409896850585, "Time in s": 18.850781 }, { "step": 2544, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5479559748427673, "F1": 0.2166212534059945, "Memory in Mb": 0.0042409896850585, "Time in s": 20.422045 }, { "step": 2650, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5452830188679245, "F1": 0.2260757867694284, "Memory in Mb": 0.0042409896850585, "Time in s": 22.049363 }, { "step": 2756, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5395500725689405, "F1": 0.2285714285714285, "Memory in Mb": 0.0042409896850585, "Time in s": 23.763248 }, { "step": 2862, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5391334730957372, "F1": 0.230005837711617, "Memory in Mb": 0.0042409896850585, "Time in s": 25.51638 }, { "step": 2968, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5411051212938005, "F1": 0.2261363636363636, "Memory in Mb": 0.0042409896850585, "Time in s": 27.316788000000003 }, { "step": 3074, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5403383214053351, "F1": 0.2214876033057851, "Memory in Mb": 0.0042409896850585, "Time in s": 29.124189 }, { "step": 3180, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5437106918238994, "F1": 0.2203116603976356, "Memory in Mb": 0.0042409896850585, "Time in s": 31.016333000000003 }, { "step": 3286, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5450395617772368, "F1": 0.21604614577871, "Memory in Mb": 0.0042409896850585, "Time in s": 32.984057 }, { "step": 3392, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5439268867924528, "F1": 0.2127226463104325, "Memory in Mb": 0.0042409896850585, "Time in s": 35.003757 }, { "step": 3498, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5457404230989137, "F1": 0.2082710513203786, "Memory in Mb": 0.0042409896850585, "Time in s": 37.068178 }, { "step": 3604, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5480022197558269, "F1": 0.2042012701514411, "Memory in Mb": 0.0042409896850585, "Time in s": 39.232173 }, { "step": 3710, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.546900269541779, "F1": 0.1991424487851357, "Memory in Mb": 0.0042409896850585, "Time in s": 41.450117000000006 }, { "step": 3816, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5463836477987422, "F1": 0.1945090739879013, "Memory in Mb": 0.0042409896850585, "Time in s": 43.72876300000001 }, { "step": 3922, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5474247832738399, "F1": 0.1906064751481988, "Memory in Mb": 0.0042409896850585, "Time in s": 46.072390000000006 }, { "step": 4028, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.547914597815293, "F1": 0.1866904868244752, "Memory in Mb": 0.0042409896850585, "Time in s": 48.42327300000001 }, { "step": 4134, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.548137397194001, "F1": 0.1828521434820647, "Memory in Mb": 0.0042409896850585, "Time in s": 50.870554000000006 }, { "step": 4240, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5474056603773585, "F1": 0.1788617886178861, "Memory in Mb": 0.0042409896850585, "Time in s": 53.39424700000001 }, { "step": 4346, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5476300046019328, "F1": 0.176716917922948, "Memory in Mb": 0.0042409896850585, "Time in s": 55.939767 }, { "step": 4452, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5498652291105122, "F1": 0.1820408163265306, "Memory in Mb": 0.0042409896850585, "Time in s": 58.584779000000005 }, { "step": 4558, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5467310223782361, "F1": 0.1814580031695721, "Memory in Mb": 0.0042409896850585, "Time in s": 61.26661800000001 }, { "step": 4664, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5465265866209262, "F1": 0.1880998080614203, "Memory in Mb": 0.0042409896850585, "Time in s": 64.04445700000001 }, { "step": 4770, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5467505241090147, "F1": 0.1908682634730538, "Memory in Mb": 0.0042409896850585, "Time in s": 66.91140200000001 }, { "step": 4876, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5469647251845775, "F1": 0.1911387770047601, "Memory in Mb": 0.0042409896850585, "Time in s": 69.84398600000002 }, { "step": 4982, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5469690887193898, "F1": 0.1976537504443654, "Memory in Mb": 0.0042409896850585, "Time in s": 72.84582100000002 }, { "step": 5088, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5448113207547169, "F1": 0.1958333333333333, "Memory in Mb": 0.0042409896850585, "Time in s": 75.85667200000002 }, { "step": 5194, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5429341547939931, "F1": 0.1941615750169721, "Memory in Mb": 0.0042409896850585, "Time in s": 78.94956300000001 }, { "step": 5300, "track": "Binary classification", "model": "Logistic regression", "dataset": "Bananas", "Accuracy": 0.5432075471698113, "F1": 0.1970149253731343, "Memory in Mb": 0.0042409896850585, "Time in s": 82.06889500000001 }, { "step": 906, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.7980132450331126, "F1": 0.7834319526627219, "Memory in Mb": 0.0053730010986328, "Time in s": 0.687155 }, { "step": 1812, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8134657836644592, "F1": 0.7488855869242199, "Memory in Mb": 0.0053730010986328, "Time in s": 2.092465 }, { "step": 2718, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8024282560706402, "F1": 0.7300150829562596, "Memory in Mb": 0.0053730010986328, "Time in s": 4.064074 }, { "step": 3624, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8192604856512141, "F1": 0.7598093142647598, "Memory in Mb": 0.0053730010986328, "Time in s": 6.824807 }, { "step": 4530, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8289183222958058, "F1": 0.7613181398213735, "Memory in Mb": 0.0053730010986328, "Time in s": 10.234028 }, { "step": 5436, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8226637233259749, "F1": 0.7528205128205128, "Memory in Mb": 0.0053730010986328, "Time in s": 14.344314 }, { "step": 6342, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8229265216020183, "F1": 0.7589611504614724, "Memory in Mb": 0.0053730010986328, "Time in s": 19.167838 }, { "step": 7248, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8261589403973509, "F1": 0.7617246596066566, "Memory in Mb": 0.0053730010986328, "Time in s": 24.744494 }, { "step": 8154, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8318616629874908, "F1": 0.7833096254148886, "Memory in Mb": 0.0053730010986328, "Time in s": 31.081721 }, { "step": 9060, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8375275938189846, "F1": 0.7975797579757975, "Memory in Mb": 0.0053730010986328, "Time in s": 38.163875 }, { "step": 9966, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8377483443708609, "F1": 0.802008081302804, "Memory in Mb": 0.0053730010986328, "Time in s": 45.915004 }, { "step": 10872, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8400478292862399, "F1": 0.8089220964729151, "Memory in Mb": 0.0053730010986328, "Time in s": 54.352834 }, { "step": 11778, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8432671081677704, "F1": 0.8127789046653143, "Memory in Mb": 0.0053730010986328, "Time in s": 63.489549 }, { "step": 12684, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8419268369599495, "F1": 0.8117547648108159, "Memory in Mb": 0.0053730010986328, "Time in s": 73.399178 }, { "step": 13590, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8437821927888153, "F1": 0.8167141500474834, "Memory in Mb": 0.0053730010986328, "Time in s": 84.03825400000001 }, { "step": 14496, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8447157836644592, "F1": 0.8189204408334004, "Memory in Mb": 0.0053730010986328, "Time in s": 95.414959 }, { "step": 15402, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8464485131801065, "F1": 0.8201110519510155, "Memory in Mb": 0.0053730010986328, "Time in s": 107.55183300000002 }, { "step": 16308, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8411822418444935, "F1": 0.812780106982796, "Memory in Mb": 0.0053730010986328, "Time in s": 120.38661500000002 }, { "step": 17214, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8397234808876496, "F1": 0.8069954529555788, "Memory in Mb": 0.0053730010986328, "Time in s": 133.99787400000002 }, { "step": 18120, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8419426048565122, "F1": 0.80987785448752, "Memory in Mb": 0.0053730010986328, "Time in s": 148.356557 }, { "step": 19026, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8451066961000736, "F1": 0.8115849370244869, "Memory in Mb": 0.0053730010986328, "Time in s": 163.518734 }, { "step": 19932, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8428155729480232, "F1": 0.8097637986520129, "Memory in Mb": 0.0053730010986328, "Time in s": 179.395561 }, { "step": 20838, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8393799788847298, "F1": 0.805689404934688, "Memory in Mb": 0.0053730010986328, "Time in s": 196.009478 }, { "step": 21744, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8402777777777778, "F1": 0.8036632935722765, "Memory in Mb": 0.0053730010986328, "Time in s": 213.342445 }, { "step": 22650, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8394701986754967, "F1": 0.8009198423127463, "Memory in Mb": 0.0053730010986328, "Time in s": 231.348647 }, { "step": 23556, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8357106469689252, "F1": 0.7954545454545454, "Memory in Mb": 0.0053730010986328, "Time in s": 250.064916 }, { "step": 24462, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8330471752105306, "F1": 0.791441119395363, "Memory in Mb": 0.0053730010986328, "Time in s": 269.489469 }, { "step": 25368, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8298249763481551, "F1": 0.7872875092387287, "Memory in Mb": 0.0053730010986328, "Time in s": 289.628629 }, { "step": 26274, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8304407398949532, "F1": 0.787745962170661, "Memory in Mb": 0.0053730010986328, "Time in s": 310.508458 }, { "step": 27180, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8308682855040471, "F1": 0.7889638709085066, "Memory in Mb": 0.0053730010986328, "Time in s": 332.12320800000003 }, { "step": 28086, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8277077547532579, "F1": 0.7843678980437593, "Memory in Mb": 0.0053730010986328, "Time in s": 354.49968 }, { "step": 28992, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8270212472406181, "F1": 0.7820039121930016, "Memory in Mb": 0.0053730010986328, "Time in s": 377.655941 }, { "step": 29898, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8260418757107498, "F1": 0.780872129766168, "Memory in Mb": 0.0053730010986328, "Time in s": 401.520333 }, { "step": 30804, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8258992338657317, "F1": 0.7797807251673304, "Memory in Mb": 0.0053730010986328, "Time in s": 426.09085 }, { "step": 31710, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.821286660359508, "F1": 0.7731294287201249, "Memory in Mb": 0.0053730010986328, "Time in s": 451.387139 }, { "step": 32616, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8188619082658818, "F1": 0.7700093428838368, "Memory in Mb": 0.0053730010986328, "Time in s": 477.46355 }, { "step": 33522, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8168963665652408, "F1": 0.7682024169184289, "Memory in Mb": 0.0053730010986328, "Time in s": 504.189667 }, { "step": 34428, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8143952596723597, "F1": 0.7647795037915042, "Memory in Mb": 0.0053730010986328, "Time in s": 531.635688 }, { "step": 35334, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8142016188373804, "F1": 0.7627822944896115, "Memory in Mb": 0.0053730010986328, "Time in s": 559.807066 }, { "step": 36240, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8154801324503311, "F1": 0.7629984051036682, "Memory in Mb": 0.0053730010986328, "Time in s": 588.709839 }, { "step": 37146, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.815161794002046, "F1": 0.7614481273017858, "Memory in Mb": 0.0053730010986328, "Time in s": 618.344034 }, { "step": 38052, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8151476926311363, "F1": 0.7609596955073744, "Memory in Mb": 0.0053730010986328, "Time in s": 648.6306599999999 }, { "step": 38958, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8162379998973254, "F1": 0.7631274195149389, "Memory in Mb": 0.0053730010986328, "Time in s": 679.6980239999999 }, { "step": 39864, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8169275536825206, "F1": 0.7661946562439931, "Memory in Mb": 0.0053730010986328, "Time in s": 711.4719719999999 }, { "step": 40770, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8186656855531028, "F1": 0.7707241432780277, "Memory in Mb": 0.0053730010986328, "Time in s": 743.966698 }, { "step": 41676, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8201602840963624, "F1": 0.7745390006918749, "Memory in Mb": 0.0053730010986328, "Time in s": 777.181242 }, { "step": 42582, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8211920529801324, "F1": 0.7763613934089174, "Memory in Mb": 0.0053730010986328, "Time in s": 811.063029 }, { "step": 43488, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8216979396615158, "F1": 0.7772863051470587, "Memory in Mb": 0.0053730010986328, "Time in s": 845.685827 }, { "step": 44394, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8211695274136145, "F1": 0.7754109027129481, "Memory in Mb": 0.0053730010986328, "Time in s": 881.122534 }, { "step": 45300, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8221412803532009, "F1": 0.7771292633675417, "Memory in Mb": 0.0053730010986328, "Time in s": 917.330239 }, { "step": 45312, "track": "Binary classification", "model": "Logistic regression", "dataset": "Elec2", "Accuracy": 0.8221442443502824, "F1": 0.7770862722319033, "Memory in Mb": 0.0053730010986328, "Time in s": 953.539999 }, { "step": 25, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.6, "F1": 0.6428571428571429, "Memory in Mb": 0.005324363708496, "Time in s": 0.005087 }, { "step": 50, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.76, "F1": 0.7499999999999999, "Memory in Mb": 0.005324363708496, "Time in s": 0.014273 }, { "step": 75, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8, "F1": 0.8, "Memory in Mb": 0.005324363708496, "Time in s": 0.080154 }, { "step": 100, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.81, "F1": 0.8041237113402061, "Memory in Mb": 0.005324363708496, "Time in s": 0.160529 }, { "step": 125, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8, "F1": 0.7933884297520661, "Memory in Mb": 0.005324363708496, "Time in s": 0.244823 }, { "step": 150, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8066666666666666, "F1": 0.8079470198675497, "Memory in Mb": 0.005324363708496, "Time in s": 0.373717 }, { "step": 175, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8171428571428572, "F1": 0.8072289156626506, "Memory in Mb": 0.005324363708496, "Time in s": 0.564558 }, { "step": 200, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.815, "F1": 0.8042328042328043, "Memory in Mb": 0.005324363708496, "Time in s": 0.765703 }, { "step": 225, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8133333333333334, "F1": 0.7980769230769231, "Memory in Mb": 0.005324363708496, "Time in s": 0.969796 }, { "step": 250, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.82, "F1": 0.8068669527896996, "Memory in Mb": 0.005324363708496, "Time in s": 1.176844 }, { "step": 275, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8218181818181818, "F1": 0.8078431372549019, "Memory in Mb": 0.0055646896362304, "Time in s": 1.38745 }, { "step": 300, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8333333333333334, "F1": 0.8161764705882353, "Memory in Mb": 0.0055646896362304, "Time in s": 1.62648 }, { "step": 325, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.84, "F1": 0.8181818181818181, "Memory in Mb": 0.0055646896362304, "Time in s": 1.940615 }, { "step": 350, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8514285714285714, "F1": 0.8278145695364238, "Memory in Mb": 0.0055646896362304, "Time in s": 2.281543 }, { "step": 375, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.848, "F1": 0.8213166144200628, "Memory in Mb": 0.0055646896362304, "Time in s": 2.625835 }, { "step": 400, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.85, "F1": 0.8214285714285715, "Memory in Mb": 0.0055646896362304, "Time in s": 2.973623 }, { "step": 425, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8564705882352941, "F1": 0.825214899713467, "Memory in Mb": 0.0055646896362304, "Time in s": 3.357502 }, { "step": 450, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.86, "F1": 0.8273972602739726, "Memory in Mb": 0.0055646896362304, "Time in s": 3.744344 }, { "step": 475, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8568421052631578, "F1": 0.8247422680412371, "Memory in Mb": 0.0055646896362304, "Time in s": 4.182096 }, { "step": 500, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.858, "F1": 0.8297362110311751, "Memory in Mb": 0.0055646896362304, "Time in s": 4.631479 }, { "step": 525, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8571428571428571, "F1": 0.8251748251748252, "Memory in Mb": 0.0055646896362304, "Time in s": 5.084116 }, { "step": 550, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8581818181818182, "F1": 0.827433628318584, "Memory in Mb": 0.0055646896362304, "Time in s": 5.539997 }, { "step": 575, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8608695652173913, "F1": 0.8305084745762712, "Memory in Mb": 0.0055646896362304, "Time in s": 6.065522 }, { "step": 600, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.865, "F1": 0.8329896907216495, "Memory in Mb": 0.0055646896362304, "Time in s": 6.594884 }, { "step": 625, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8672, "F1": 0.8323232323232322, "Memory in Mb": 0.0055646896362304, "Time in s": 7.192367999999999 }, { "step": 650, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8707692307692307, "F1": 0.8390804597701149, "Memory in Mb": 0.0055646896362304, "Time in s": 7.814115999999999 }, { "step": 675, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8711111111111111, "F1": 0.8426763110307414, "Memory in Mb": 0.0055646896362304, "Time in s": 8.439065999999999 }, { "step": 700, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8757142857142857, "F1": 0.8465608465608465, "Memory in Mb": 0.0055646896362304, "Time in s": 9.067184 }, { "step": 725, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8772413793103448, "F1": 0.8514190317195326, "Memory in Mb": 0.0055646896362304, "Time in s": 9.744984 }, { "step": 750, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8786666666666667, "F1": 0.8539325842696629, "Memory in Mb": 0.0055646896362304, "Time in s": 10.426391 }, { "step": 775, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.88, "F1": 0.8549141965678626, "Memory in Mb": 0.0055646896362304, "Time in s": 11.153806 }, { "step": 800, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.88, "F1": 0.8567164179104476, "Memory in Mb": 0.0055646896362304, "Time in s": 11.884597 }, { "step": 825, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.88, "F1": 0.8579626972740315, "Memory in Mb": 0.0055646896362304, "Time in s": 12.619003 }, { "step": 850, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8811764705882353, "F1": 0.8587412587412586, "Memory in Mb": 0.0055646896362304, "Time in s": 13.411056 }, { "step": 875, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8845714285714286, "F1": 0.8622100954979536, "Memory in Mb": 0.0055646896362304, "Time in s": 14.234524 }, { "step": 900, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8844444444444445, "F1": 0.8617021276595744, "Memory in Mb": 0.0055646896362304, "Time in s": 15.105192999999998 }, { "step": 925, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8864864864864865, "F1": 0.8655569782330347, "Memory in Mb": 0.0055646896362304, "Time in s": 15.990264999999996 }, { "step": 950, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8852631578947369, "F1": 0.8655980271270037, "Memory in Mb": 0.0055646896362304, "Time in s": 16.878196999999997 }, { "step": 975, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8861538461538462, "F1": 0.8664259927797834, "Memory in Mb": 0.0055646896362304, "Time in s": 17.769031 }, { "step": 1000, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.887, "F1": 0.8675263774912075, "Memory in Mb": 0.0055646896362304, "Time in s": 18.72316 }, { "step": 1025, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8868292682926829, "F1": 0.8678815489749431, "Memory in Mb": 0.0055646896362304, "Time in s": 19.680949 }, { "step": 1050, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8885714285714286, "F1": 0.8704318936877077, "Memory in Mb": 0.0055646896362304, "Time in s": 20.642059 }, { "step": 1075, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8874418604651163, "F1": 0.8703108252947481, "Memory in Mb": 0.0055646896362304, "Time in s": 21.642509 }, { "step": 1100, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.889090909090909, "F1": 0.8723849372384936, "Memory in Mb": 0.0055646896362304, "Time in s": 22.64645 }, { "step": 1125, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8897777777777778, "F1": 0.8742393509127788, "Memory in Mb": 0.0055646896362304, "Time in s": 23.715816 }, { "step": 1150, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8895652173913043, "F1": 0.8738828202581926, "Memory in Mb": 0.0055646896362304, "Time in s": 24.78868 }, { "step": 1175, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8885106382978724, "F1": 0.872444011684518, "Memory in Mb": 0.0055646896362304, "Time in s": 25.864657 }, { "step": 1200, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8891666666666667, "F1": 0.8729703915950333, "Memory in Mb": 0.0055646896362304, "Time in s": 26.968066 }, { "step": 1225, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.889795918367347, "F1": 0.8737137511693172, "Memory in Mb": 0.0055646896362304, "Time in s": 28.075126 }, { "step": 1250, "track": "Binary classification", "model": "Logistic regression", "dataset": "Phishing", "Accuracy": 0.8872, "F1": 0.8712328767123287, "Memory in Mb": 0.0055646896362304, "Time in s": 29.206647 }, { "step": 1903, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 1.174944 }, { "step": 3806, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 3.465965 }, { "step": 5709, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 6.937403 }, { "step": 7612, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 11.610183 }, { "step": 9515, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 17.462392 }, { "step": 11418, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 24.519273 }, { "step": 13321, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0043830871582031, "Time in s": 32.784706 }, { "step": 15224, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9996715712033633, "F1": 0.7058823529411764, "Memory in Mb": 0.0043830871582031, "Time in s": 42.234241 }, { "step": 17127, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997080632918784, "F1": 0.761904761904762, "Memory in Mb": 0.0043830871582031, "Time in s": 52.882453 }, { "step": 19030, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997372569626904, "F1": 0.761904761904762, "Memory in Mb": 0.0043830871582031, "Time in s": 64.622668 }, { "step": 20933, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999761142693355, "F1": 0.761904761904762, "Memory in Mb": 0.0043830871582031, "Time in s": 77.568109 }, { "step": 22836, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997810474689088, "F1": 0.761904761904762, "Memory in Mb": 0.0043830871582031, "Time in s": 91.771967 }, { "step": 24739, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997978899713004, "F1": 0.761904761904762, "Memory in Mb": 0.0043830871582031, "Time in s": 107.109486 }, { "step": 26642, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999774791682306, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 123.681834 }, { "step": 28545, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997898055701524, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 141.369945 }, { "step": 30448, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999802942722018, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 160.23044 }, { "step": 32351, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999814534326605, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 180.239632 }, { "step": 34254, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999824837975127, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 201.318948 }, { "step": 36157, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998340570290676, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 223.519273 }, { "step": 38060, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998423541776142, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 246.976714 }, { "step": 39963, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998498611215374, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 271.56812399999995 }, { "step": 41866, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999856685616013, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 297.295844 }, { "step": 43769, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998629166761864, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 324.2115329999999 }, { "step": 45672, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998686284813452, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 352.27523699999995 }, { "step": 47575, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998738833420916, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 381.597104 }, { "step": 49478, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998787339827804, "F1": 0.7272727272727273, "Memory in Mb": 0.0043830871582031, "Time in s": 412.116627 }, { "step": 51381, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998443004223352, "F1": 0.6666666666666666, "Memory in Mb": 0.0043830871582031, "Time in s": 443.867429 }, { "step": 53284, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9998498611215374, "F1": 0.6666666666666666, "Memory in Mb": 0.0043830871582031, "Time in s": 476.838798 }, { "step": 55187, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999855038324243, "F1": 0.6666666666666666, "Memory in Mb": 0.0043830871582031, "Time in s": 510.9819989999999 }, { "step": 57090, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997022245577158, "F1": 0.4848484848484848, "Memory in Mb": 0.0043830871582031, "Time in s": 546.274013 }, { "step": 58993, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997118302171444, "F1": 0.4848484848484848, "Memory in Mb": 0.0043830871582031, "Time in s": 582.6678519999999 }, { "step": 60896, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997208355228586, "F1": 0.4848484848484848, "Memory in Mb": 0.0043830871582031, "Time in s": 620.2082039999999 }, { "step": 62799, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999697447411583, "F1": 0.4571428571428571, "Memory in Mb": 0.0043830871582031, "Time in s": 658.8625569999999 }, { "step": 64702, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997063460171248, "F1": 0.4571428571428571, "Memory in Mb": 0.0043830871582031, "Time in s": 698.5852799999999 }, { "step": 66605, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997147361309212, "F1": 0.4571428571428571, "Memory in Mb": 0.0043830871582031, "Time in s": 739.3620329999999 }, { "step": 68508, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9996934664564724, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 781.2563779999999 }, { "step": 70411, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999701751146838, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 824.198222 }, { "step": 72314, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997095998008684, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 868.202086 }, { "step": 74217, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997170459598204, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 913.268811 }, { "step": 76120, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999724119810825, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 959.416173 }, { "step": 78023, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997308485959268, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1006.608919 }, { "step": 79926, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997372569626904, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1054.85163 }, { "step": 81829, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997433672658838, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1104.06085 }, { "step": 83732, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997491998280228, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1154.258062 }, { "step": 85635, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997547731651778, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1205.371532 }, { "step": 87538, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.999760104183326, "F1": 0.4324324324324324, "Memory in Mb": 0.0043830871582031, "Time in s": 1257.4462130000002 }, { "step": 89441, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997540277948592, "F1": 0.4210526315789474, "Memory in Mb": 0.0043830871582031, "Time in s": 1310.5048250000002 }, { "step": 91344, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997591522157996, "F1": 0.4210526315789474, "Memory in Mb": 0.0043830871582031, "Time in s": 1364.5437910000005 }, { "step": 93247, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997640674767015, "F1": 0.4210526315789474, "Memory in Mb": 0.0043830871582031, "Time in s": 1419.4942320000002 }, { "step": 95150, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997687861271676, "F1": 0.4210526315789474, "Memory in Mb": 0.0043830871582031, "Time in s": 1475.4318390000003 }, { "step": 95156, "track": "Binary classification", "model": "Logistic regression", "dataset": "SMTP", "Accuracy": 0.9997688007062088, "F1": 0.4210526315789474, "Memory in Mb": 0.0043830871582031, "Time in s": 1531.3705140000004 }, { "step": 106, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.7047619047619048, "F1": 0.6990291262135924, "Memory in Mb": 0.8133068084716797, "Time in s": 0.833499 }, { "step": 212, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.7867298578199052, "F1": 0.7668393782383419, "Memory in Mb": 1.3378009796142578, "Time in s": 2.8663 }, { "step": 318, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8233438485804416, "F1": 0.806896551724138, "Memory in Mb": 1.855398178100586, "Time in s": 6.250927 }, { "step": 424, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8392434988179669, "F1": 0.8229166666666667, "Memory in Mb": 2.3226680755615234, "Time in s": 11.143336 }, { "step": 530, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8412098298676749, "F1": 0.8181818181818182, "Memory in Mb": 2.776212692260742, "Time in s": 17.797124 }, { "step": 636, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8488188976377953, "F1": 0.8267148014440434, "Memory in Mb": 3.173288345336914, "Time in s": 26.396562 }, { "step": 742, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8596491228070176, "F1": 0.8359621451104102, "Memory in Mb": 3.5500621795654297, "Time in s": 36.969223 }, { "step": 848, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8677685950413223, "F1": 0.8461538461538461, "Memory in Mb": 3.917997360229492, "Time in s": 49.692848 }, { "step": 954, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8730325288562435, "F1": 0.8515337423312884, "Memory in Mb": 4.238534927368164, "Time in s": 64.631677 }, { "step": 1060, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8772426817752597, "F1": 0.8549107142857144, "Memory in Mb": 4.491437911987305, "Time in s": 81.765253 }, { "step": 1166, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8772532188841202, "F1": 0.8557013118062564, "Memory in Mb": 4.809717178344727, "Time in s": 101.295253 }, { "step": 1272, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8772619984264359, "F1": 0.8566176470588236, "Memory in Mb": 5.171953201293945, "Time in s": 123.161687 }, { "step": 1378, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8779956427015251, "F1": 0.8561643835616438, "Memory in Mb": 5.501619338989258, "Time in s": 147.513883 }, { "step": 1484, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8813216453135536, "F1": 0.860759493670886, "Memory in Mb": 5.80189323425293, "Time in s": 174.53874199999998 }, { "step": 1590, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8785399622404028, "F1": 0.8579838116261957, "Memory in Mb": 6.17225456237793, "Time in s": 204.250002 }, { "step": 1696, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8790560471976401, "F1": 0.8585231193926847, "Memory in Mb": 6.45002555847168, "Time in s": 237.091398 }, { "step": 1802, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8806218767351471, "F1": 0.8613797549967763, "Memory in Mb": 6.703157424926758, "Time in s": 272.83416 }, { "step": 1908, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8783429470372313, "F1": 0.8602409638554217, "Memory in Mb": 7.075212478637695, "Time in s": 311.419605 }, { "step": 2014, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8777943368107303, "F1": 0.8607021517553795, "Memory in Mb": 7.409914016723633, "Time in s": 352.79492 }, { "step": 2120, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8791882963662104, "F1": 0.8636847710330138, "Memory in Mb": 7.730207443237305, "Time in s": 397.065386 }, { "step": 2226, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8782022471910113, "F1": 0.8626457171819564, "Memory in Mb": 8.068941116333008, "Time in s": 444.302777 }, { "step": 2332, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8777348777348777, "F1": 0.8621190130624092, "Memory in Mb": 8.392999649047852, "Time in s": 494.454577 }, { "step": 2438, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8781288469429627, "F1": 0.8624363131079205, "Memory in Mb": 8.738908767700195, "Time in s": 547.433225 }, { "step": 2544, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8784899724734565, "F1": 0.8635761589403974, "Memory in Mb": 9.069158554077148, "Time in s": 603.367304 }, { "step": 2650, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8799546998867497, "F1": 0.8654822335025381, "Memory in Mb": 9.38022804260254, "Time in s": 661.971994 }, { "step": 2756, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8820326678765881, "F1": 0.8676171079429736, "Memory in Mb": 9.675683975219728, "Time in s": 723.088894 }, { "step": 2862, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8836071303739951, "F1": 0.86905230043256, "Memory in Mb": 10.005556106567385, "Time in s": 786.780009 }, { "step": 2968, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8840579710144928, "F1": 0.8691019786910198, "Memory in Mb": 10.283010482788086, "Time in s": 853.0146269999999 }, { "step": 3074, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8831760494630654, "F1": 0.8683535020168683, "Memory in Mb": 10.632661819458008, "Time in s": 921.667133 }, { "step": 3180, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8858131487889274, "F1": 0.8707725169099323, "Memory in Mb": 10.90281867980957, "Time in s": 992.810764 }, { "step": 3286, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8852359208523592, "F1": 0.8696854476322157, "Memory in Mb": 11.200468063354492, "Time in s": 1066.389204 }, { "step": 3392, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8849896785608965, "F1": 0.87017310252996, "Memory in Mb": 11.512235641479492, "Time in s": 1142.442462 }, { "step": 3498, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8864741206748642, "F1": 0.8712293220888745, "Memory in Mb": 11.797895431518556, "Time in s": 1221.036812 }, { "step": 3604, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8878712184290869, "F1": 0.8721518987341771, "Memory in Mb": 12.102933883666992, "Time in s": 1302.125963 }, { "step": 3710, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8878403882448099, "F1": 0.8725490196078431, "Memory in Mb": 12.41331672668457, "Time in s": 1385.838182 }, { "step": 3816, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.889646133682831, "F1": 0.8746650788925276, "Memory in Mb": 12.665735244750977, "Time in s": 1472.135343 }, { "step": 3922, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8885488395817394, "F1": 0.8730758059831543, "Memory in Mb": 13.002767562866213, "Time in s": 1561.047711 }, { "step": 4028, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8872609883287808, "F1": 0.8714609286523215, "Memory in Mb": 13.407987594604492, "Time in s": 1652.580672 }, { "step": 4134, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8874909266876361, "F1": 0.8717241379310345, "Memory in Mb": 13.751871109008787, "Time in s": 1746.8148660000002 }, { "step": 4240, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8886529841943854, "F1": 0.8731864588930682, "Memory in Mb": 13.96497917175293, "Time in s": 1843.750561 }, { "step": 4346, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8895281933256617, "F1": 0.8742138364779874, "Memory in Mb": 14.240518569946287, "Time in s": 1943.403214 }, { "step": 4452, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8890137047854415, "F1": 0.8735926305015352, "Memory in Mb": 14.605810165405272, "Time in s": 2045.776976 }, { "step": 4558, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8894009216589862, "F1": 0.874439461883408, "Memory in Mb": 14.917993545532228, "Time in s": 2150.6554650000003 }, { "step": 4664, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8893416255629423, "F1": 0.8748180494905387, "Memory in Mb": 15.239774703979492, "Time in s": 2258.064088 }, { "step": 4770, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8880268400083875, "F1": 0.8729176582579724, "Memory in Mb": 15.67698097229004, "Time in s": 2367.913167 }, { "step": 4876, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8888205128205128, "F1": 0.8733644859813083, "Memory in Mb": 15.96486473083496, "Time in s": 2480.267593 }, { "step": 4982, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.889580405541056, "F1": 0.8746010031919745, "Memory in Mb": 16.210702896118164, "Time in s": 2595.134509 }, { "step": 5088, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8891291527422842, "F1": 0.8740509155873157, "Memory in Mb": 16.543100357055664, "Time in s": 2712.434229 }, { "step": 5194, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.8894665896398999, "F1": 0.8743982494529539, "Memory in Mb": 16.87101936340332, "Time in s": 2832.294496 }, { "step": 5300, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Bananas", "Accuracy": 0.889413096810719, "F1": 0.8742489270386266, "Memory in Mb": 17.23769187927246, "Time in s": 2954.746773 }, { "step": 906, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8662983425414365, "F1": 0.8638920134983127, "Memory in Mb": 5.093213081359863, "Time in s": 9.961559 }, { "step": 1812, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8895637769188294, "F1": 0.863013698630137, "Memory in Mb": 9.274415016174316, "Time in s": 34.997891 }, { "step": 2718, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8737578211262422, "F1": 0.8433074463225217, "Memory in Mb": 14.81954288482666, "Time in s": 77.180768 }, { "step": 3624, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8746894838531604, "F1": 0.8451568894952252, "Memory in Mb": 20.35789203643799, "Time in s": 135.799753 }, { "step": 4530, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.869728416869066, "F1": 0.8295782784517621, "Memory in Mb": 25.320820808410645, "Time in s": 209.048681 }, { "step": 5436, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8658693652253909, "F1": 0.8254728273880776, "Memory in Mb": 30.94210529327393, "Time in s": 297.509476 }, { "step": 6342, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8613783314934553, "F1": 0.8220287507592631, "Memory in Mb": 36.922226905822754, "Time in s": 401.254404 }, { "step": 7248, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8563543535255967, "F1": 0.8144715736945286, "Memory in Mb": 42.8322229385376, "Time in s": 518.853069 }, { "step": 8154, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8547773825585674, "F1": 0.8211480362537765, "Memory in Mb": 49.13461780548096, "Time in s": 650.61595 }, { "step": 9060, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8564963020200905, "F1": 0.8276776246023331, "Memory in Mb": 54.27480792999268, "Time in s": 797.031608 }, { "step": 9966, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8559959859508279, "F1": 0.830478440637921, "Memory in Mb": 59.58850955963135, "Time in s": 957.298151 }, { "step": 10872, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.858522675006899, "F1": 0.8360690684289065, "Memory in Mb": 64.43849277496338, "Time in s": 1132.655012 }, { "step": 11778, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8588774730406725, "F1": 0.8365138697619515, "Memory in Mb": 69.77676105499268, "Time in s": 1321.3849659999998 }, { "step": 12684, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8572892848695104, "F1": 0.8352148579752368, "Memory in Mb": 75.08023929595947, "Time in s": 1522.77491 }, { "step": 13590, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8577525940098609, "F1": 0.8380665158750105, "Memory in Mb": 79.94311618804932, "Time in s": 1737.870186 }, { "step": 14496, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8584339427388755, "F1": 0.8393863494051347, "Memory in Mb": 84.43613529205322, "Time in s": 1968.10555 }, { "step": 15402, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8584507499513019, "F1": 0.8387335404645658, "Memory in Mb": 89.24470615386963, "Time in s": 2211.432474 }, { "step": 16308, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8561354019746121, "F1": 0.8352296670880741, "Memory in Mb": 95.6551637649536, "Time in s": 2468.910492 }, { "step": 17214, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8563295183872655, "F1": 0.8333445649976414, "Memory in Mb": 100.85075855255128, "Time in s": 2740.76049 }, { "step": 18120, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8570009382416248, "F1": 0.834176, "Memory in Mb": 106.8406229019165, "Time in s": 3026.823297 }, { "step": 19026, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.858712220762155, "F1": 0.8348082595870207, "Memory in Mb": 111.7458429336548, "Time in s": 3325.548438 }, { "step": 19932, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8587125583262255, "F1": 0.8363361618040218, "Memory in Mb": 117.0202569961548, "Time in s": 3636.553219 }, { "step": 20838, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8564572635216202, "F1": 0.8339348176114596, "Memory in Mb": 123.3725290298462, "Time in s": 3960.554229 }, { "step": 21744, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8540219840868325, "F1": 0.8286917098445596, "Memory in Mb": 130.42929553985596, "Time in s": 4298.210438 }, { "step": 22650, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8531944015188309, "F1": 0.8264160793526494, "Memory in Mb": 136.64212131500244, "Time in s": 4650.500753 }, { "step": 23556, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8528550201655699, "F1": 0.8255134917438581, "Memory in Mb": 142.6701021194458, "Time in s": 5016.675492 }, { "step": 24462, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8532766444544376, "F1": 0.8247130647130647, "Memory in Mb": 148.4442949295044, "Time in s": 5397.142957 }, { "step": 25368, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8514605589939686, "F1": 0.8225487425826504, "Memory in Mb": 154.72937488555908, "Time in s": 5792.939295 }, { "step": 26274, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8521676245575306, "F1": 0.8231490756761678, "Memory in Mb": 160.280930519104, "Time in s": 6204.791143 }, { "step": 27180, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8530851024688179, "F1": 0.8247069669432372, "Memory in Mb": 165.12001132965088, "Time in s": 6630.671498000001 }, { "step": 28086, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8528752002848495, "F1": 0.8239904583404327, "Memory in Mb": 171.1938066482544, "Time in s": 7068.974646000001 }, { "step": 28992, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8532303128557138, "F1": 0.8236415633937083, "Memory in Mb": 176.66365909576416, "Time in s": 7519.88705 }, { "step": 29898, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8538649362812323, "F1": 0.8241355713883187, "Memory in Mb": 181.78493976593015, "Time in s": 7981.874679 }, { "step": 30804, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8542349771126189, "F1": 0.8238110186783865, "Memory in Mb": 187.08849048614505, "Time in s": 8454.454599 }, { "step": 31710, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8525655176763695, "F1": 0.8216125462662648, "Memory in Mb": 193.5201120376587, "Time in s": 8938.242097 }, { "step": 32616, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.852245899126169, "F1": 0.821432541594101, "Memory in Mb": 199.6366205215454, "Time in s": 9433.534304 }, { "step": 33522, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.852003221860923, "F1": 0.8214247147330909, "Memory in Mb": 205.8111581802368, "Time in s": 9940.639789 }, { "step": 34428, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.851715223516426, "F1": 0.8209965286300361, "Memory in Mb": 212.10033893585205, "Time in s": 10459.964952 }, { "step": 35334, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8513287861206238, "F1": 0.8197137660019906, "Memory in Mb": 218.64550113677976, "Time in s": 10993.026606 }, { "step": 36240, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8508788873865173, "F1": 0.8179735920237133, "Memory in Mb": 225.19258975982663, "Time in s": 11538.003929 }, { "step": 37146, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8496432898102032, "F1": 0.8159741671883752, "Memory in Mb": 232.33557987213132, "Time in s": 12096.169427 }, { "step": 38052, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8497279966360937, "F1": 0.8155126798735239, "Memory in Mb": 238.56606006622317, "Time in s": 12664.877691 }, { "step": 38958, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8494493929203994, "F1": 0.8154906093686098, "Memory in Mb": 244.89648151397705, "Time in s": 13243.508414 }, { "step": 39864, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8492336251661942, "F1": 0.8164773421277635, "Memory in Mb": 251.12543201446533, "Time in s": 13830.859859 }, { "step": 40770, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8486104638328141, "F1": 0.8170174918470204, "Memory in Mb": 257.83575916290283, "Time in s": 14427.278119 }, { "step": 41676, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8490941811637672, "F1": 0.8186928820595613, "Memory in Mb": 264.1331262588501, "Time in s": 15032.883602 }, { "step": 42582, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8493929217256523, "F1": 0.8194385787087872, "Memory in Mb": 270.1314744949341, "Time in s": 15648.679676 }, { "step": 43488, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8493802745648125, "F1": 0.8194995590828924, "Memory in Mb": 276.0468301773072, "Time in s": 16273.986894 }, { "step": 44394, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8493681436262474, "F1": 0.8189620164063134, "Memory in Mb": 282.1419038772583, "Time in s": 16909.074578 }, { "step": 45300, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8499083864985982, "F1": 0.8197651300267741, "Memory in Mb": 287.208477973938, "Time in s": 17554.066457 }, { "step": 45312, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Elec2", "Accuracy": 0.8499039968219637, "F1": 0.8197312269727252, "Memory in Mb": 287.3145227432251, "Time in s": 18206.640571 }, { "step": 25, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.6666666666666666, "F1": 0.6923076923076924, "Memory in Mb": 0.2663440704345703, "Time in s": 0.180038 }, { "step": 50, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.7755102040816326, "F1": 0.7555555555555555, "Memory in Mb": 0.4029140472412109, "Time in s": 0.591649 }, { "step": 75, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.7972972972972973, "F1": 0.7945205479452055, "Memory in Mb": 0.5196552276611328, "Time in s": 1.289716 }, { "step": 100, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8181818181818182, "F1": 0.8125, "Memory in Mb": 0.6383838653564453, "Time in s": 2.331468 }, { "step": 125, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8225806451612904, "F1": 0.819672131147541, "Memory in Mb": 0.7669887542724609, "Time in s": 3.724154 }, { "step": 150, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8456375838926175, "F1": 0.847682119205298, "Memory in Mb": 0.9175167083740234, "Time in s": 5.520175 }, { "step": 175, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.867816091954023, "F1": 0.8606060606060606, "Memory in Mb": 1.0086803436279297, "Time in s": 7.749843999999999 }, { "step": 200, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.864321608040201, "F1": 0.8571428571428572, "Memory in Mb": 1.1245098114013672, "Time in s": 10.53336 }, { "step": 225, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8660714285714286, "F1": 0.8557692307692308, "Memory in Mb": 1.2114391326904297, "Time in s": 13.795268 }, { "step": 250, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8554216867469879, "F1": 0.8448275862068965, "Memory in Mb": 1.322244644165039, "Time in s": 17.57486 }, { "step": 275, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8540145985401459, "F1": 0.84251968503937, "Memory in Mb": 1.3987751007080078, "Time in s": 21.876977 }, { "step": 300, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8561872909698997, "F1": 0.8413284132841329, "Memory in Mb": 1.489828109741211, "Time in s": 26.743447 }, { "step": 325, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8672839506172839, "F1": 0.8501742160278746, "Memory in Mb": 1.5769939422607422, "Time in s": 32.2729 }, { "step": 350, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8681948424068768, "F1": 0.8486842105263156, "Memory in Mb": 1.638784408569336, "Time in s": 38.477964 }, { "step": 375, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8689839572192514, "F1": 0.8482972136222912, "Memory in Mb": 1.7178211212158203, "Time in s": 45.357054 }, { "step": 400, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8671679197994987, "F1": 0.8436578171091446, "Memory in Mb": 1.7941875457763672, "Time in s": 52.888585 }, { "step": 425, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8702830188679245, "F1": 0.8433048433048433, "Memory in Mb": 1.8353633880615237, "Time in s": 61.095765 }, { "step": 450, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8730512249443207, "F1": 0.8455284552845528, "Memory in Mb": 1.909624099731445, "Time in s": 70.024579 }, { "step": 475, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8755274261603375, "F1": 0.8506329113924052, "Memory in Mb": 1.988790512084961, "Time in s": 79.720297 }, { "step": 500, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.875751503006012, "F1": 0.8530805687203792, "Memory in Mb": 2.063833236694336, "Time in s": 90.078634 }, { "step": 525, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8778625954198473, "F1": 0.8525345622119817, "Memory in Mb": 2.144712448120117, "Time in s": 101.258101 }, { "step": 550, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8779599271402551, "F1": 0.8533916849015317, "Memory in Mb": 2.199640274047852, "Time in s": 113.251819 }, { "step": 575, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8780487804878049, "F1": 0.8535564853556484, "Memory in Mb": 2.2528209686279297, "Time in s": 125.935841 }, { "step": 600, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8797996661101837, "F1": 0.8536585365853657, "Memory in Mb": 2.283121109008789, "Time in s": 139.44840100000002 }, { "step": 625, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8814102564102564, "F1": 0.852589641434263, "Memory in Mb": 2.343900680541992, "Time in s": 153.77905700000002 }, { "step": 650, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.884437596302003, "F1": 0.8587570621468926, "Memory in Mb": 2.418844223022461, "Time in s": 168.92061400000003 }, { "step": 675, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.884272997032641, "F1": 0.8617021276595745, "Memory in Mb": 2.468423843383789, "Time in s": 184.940001 }, { "step": 700, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8884120171673819, "F1": 0.8650519031141869, "Memory in Mb": 2.478273391723633, "Time in s": 201.76583 }, { "step": 725, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8895027624309392, "F1": 0.8684210526315789, "Memory in Mb": 2.52436637878418, "Time in s": 219.457713 }, { "step": 750, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8918558077436582, "F1": 0.8716323296354993, "Memory in Mb": 2.5813236236572266, "Time in s": 238.014124 }, { "step": 775, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8914728682170543, "F1": 0.8707692307692307, "Memory in Mb": 2.6200389862060547, "Time in s": 257.461391 }, { "step": 800, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8898623279098874, "F1": 0.8702064896755163, "Memory in Mb": 2.657014846801758, "Time in s": 277.779634 }, { "step": 825, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8907766990291263, "F1": 0.872159090909091, "Memory in Mb": 2.706361770629883, "Time in s": 298.980548 }, { "step": 850, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8928150765606596, "F1": 0.8741355463347164, "Memory in Mb": 2.730466842651367, "Time in s": 321.097396 }, { "step": 875, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8958810068649885, "F1": 0.8771929824561403, "Memory in Mb": 2.753351211547852, "Time in s": 344.186724 }, { "step": 900, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8976640711902113, "F1": 0.8786279683377309, "Memory in Mb": 2.807779312133789, "Time in s": 368.101507 }, { "step": 925, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9004329004329005, "F1": 0.8829516539440204, "Memory in Mb": 2.8523120880126958, "Time in s": 392.980624 }, { "step": 950, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9009483667017912, "F1": 0.8850855745721271, "Memory in Mb": 2.913583755493164, "Time in s": 418.83123200000006 }, { "step": 975, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9024640657084188, "F1": 0.8867699642431467, "Memory in Mb": 2.943540573120117, "Time in s": 445.632777 }, { "step": 1000, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9009009009009008, "F1": 0.8850174216027874, "Memory in Mb": 2.9903697967529297, "Time in s": 473.399028 }, { "step": 1025, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.8994140625, "F1": 0.8836158192090395, "Memory in Mb": 3.035707473754883, "Time in s": 502.224676 }, { "step": 1050, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9008579599618683, "F1": 0.8857142857142858, "Memory in Mb": 3.069150924682617, "Time in s": 532.049603 }, { "step": 1075, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9013035381750466, "F1": 0.8869936034115138, "Memory in Mb": 3.114839553833008, "Time in s": 562.838704 }, { "step": 1100, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9035486806187444, "F1": 0.8898128898128899, "Memory in Mb": 3.132375717163086, "Time in s": 594.67778 }, { "step": 1125, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.905693950177936, "F1": 0.8933601609657947, "Memory in Mb": 3.1889095306396484, "Time in s": 627.518257 }, { "step": 1150, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9060052219321147, "F1": 0.893491124260355, "Memory in Mb": 3.220029830932617, "Time in s": 661.4048929999999 }, { "step": 1175, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9045996592844976, "F1": 0.8916827852998066, "Memory in Mb": 3.270620346069336, "Time in s": 696.4079739999999 }, { "step": 1200, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9040867389491244, "F1": 0.8909952606635072, "Memory in Mb": 3.311410903930664, "Time in s": 732.4743999999998 }, { "step": 1225, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9044117647058824, "F1": 0.8911627906976743, "Memory in Mb": 3.344022750854492, "Time in s": 769.4892029999999 }, { "step": 1250, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "Phishing", "Accuracy": 0.9047237790232184, "F1": 0.8921124206708976, "Memory in Mb": 3.391061782836914, "Time in s": 807.5726659999999 }, { "step": 1903, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 2.745403 }, { "step": 3806, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 8.183125 }, { "step": 5709, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 16.539666 }, { "step": 7612, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 27.755785000000003 }, { "step": 9515, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 41.777067 }, { "step": 11418, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 58.637769000000006 }, { "step": 13321, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0440750122070312, "Time in s": 78.268206 }, { "step": 15224, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998686198515404, "F1": 0.9090909090909092, "Memory in Mb": 0.0923185348510742, "Time in s": 101.443914 }, { "step": 17127, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998832184981898, "F1": 0.9230769230769232, "Memory in Mb": 0.0972318649291992, "Time in s": 131.805417 }, { "step": 19030, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998948972620736, "F1": 0.9230769230769232, "Memory in Mb": 0.0972814559936523, "Time in s": 169.246217 }, { "step": 20933, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999904452512899, "F1": 0.9230769230769232, "Memory in Mb": 0.0972814559936523, "Time in s": 213.148727 }, { "step": 22836, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999124151521788, "F1": 0.9230769230769232, "Memory in Mb": 0.0972814559936523, "Time in s": 263.357684 }, { "step": 24739, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999191527205108, "F1": 0.9230769230769232, "Memory in Mb": 0.0973081588745117, "Time in s": 319.49775 }, { "step": 26642, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998873916144289, "F1": 0.888888888888889, "Memory in Mb": 0.1091413497924804, "Time in s": 381.401703 }, { "step": 28545, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999894899103139, "F1": 0.888888888888889, "Memory in Mb": 0.1091642379760742, "Time in s": 448.60874 }, { "step": 30448, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999014681249384, "F1": 0.888888888888889, "Memory in Mb": 0.1091642379760742, "Time in s": 520.91477 }, { "step": 32351, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999072642967544, "F1": 0.888888888888889, "Memory in Mb": 0.1096677780151367, "Time in s": 598.09858 }, { "step": 34254, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999124164306776, "F1": 0.888888888888889, "Memory in Mb": 0.1113195419311523, "Time in s": 680.064697 }, { "step": 36157, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999170262197146, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 766.82968 }, { "step": 38060, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999211750177356, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 858.2478070000001 }, { "step": 39963, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999924928682248, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 954.233503 }, { "step": 41866, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999283410963812, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 1054.7914 }, { "step": 43769, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999931456772071, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 1159.67034 }, { "step": 45672, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999343128024348, "F1": 0.888888888888889, "Memory in Mb": 0.1112737655639648, "Time in s": 1268.4432900000002 }, { "step": 47575, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999369403455668, "F1": 0.888888888888889, "Memory in Mb": 0.1298818588256836, "Time in s": 1381.268586 }, { "step": 49478, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999393657659116, "F1": 0.888888888888889, "Memory in Mb": 0.1299276351928711, "Time in s": 1498.4984390000002 }, { "step": 51381, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999941611521993, "F1": 0.9032258064516128, "Memory in Mb": 0.1434888839721679, "Time in s": 1620.0599740000002 }, { "step": 53284, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999436968639152, "F1": 0.9032258064516128, "Memory in Mb": 0.1434888839721679, "Time in s": 1745.8256190000002 }, { "step": 55187, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9999456383865472, "F1": 0.9032258064516128, "Memory in Mb": 0.1440382003784179, "Time in s": 1875.6542580000005 }, { "step": 57090, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998248349068998, "F1": 0.7619047619047621, "Memory in Mb": 0.1476888656616211, "Time in s": 2010.272303 }, { "step": 58993, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999830485489558, "F1": 0.7619047619047621, "Memory in Mb": 0.1510839462280273, "Time in s": 2149.2802330000004 }, { "step": 60896, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998357829050004, "F1": 0.7619047619047621, "Memory in Mb": 0.1510610580444336, "Time in s": 2292.3763450000006 }, { "step": 62799, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998089111118188, "F1": 0.7272727272727272, "Memory in Mb": 0.1511411666870117, "Time in s": 2439.4913830000005 }, { "step": 64702, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998145314601012, "F1": 0.7272727272727272, "Memory in Mb": 0.1534147262573242, "Time in s": 2590.5360980000005 }, { "step": 66605, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998198306408024, "F1": 0.7272727272727272, "Memory in Mb": 0.1576833724975586, "Time in s": 2745.6113380000006 }, { "step": 68508, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998248354182784, "F1": 0.75, "Memory in Mb": 0.1762075424194336, "Time in s": 2905.2725530000007 }, { "step": 70411, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998295696634, "F1": 0.75, "Memory in Mb": 0.1762075424194336, "Time in s": 3069.514522000001 }, { "step": 72314, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.99983405473428, "F1": 0.75, "Memory in Mb": 0.1762075424194336, "Time in s": 3238.428366000001 }, { "step": 74217, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998383097984264, "F1": 0.75, "Memory in Mb": 0.1761388778686523, "Time in s": 3411.935267000001 }, { "step": 76120, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.99984235210657, "F1": 0.75, "Memory in Mb": 0.1760702133178711, "Time in s": 3590.1136440000014 }, { "step": 78023, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998461972264232, "F1": 0.75, "Memory in Mb": 0.1782979965209961, "Time in s": 3773.084966000001 }, { "step": 79926, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998498592430404, "F1": 0.75, "Memory in Mb": 0.1782979965209961, "Time in s": 3960.4867140000015 }, { "step": 81829, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998533509312216, "F1": 0.75, "Memory in Mb": 0.1782979965209961, "Time in s": 4152.338698000001 }, { "step": 83732, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998566839044082, "F1": 0.75, "Memory in Mb": 0.1783208847045898, "Time in s": 4348.642178000001 }, { "step": 85635, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998598687437232, "F1": 0.75, "Memory in Mb": 0.1783208847045898, "Time in s": 4549.410423000001 }, { "step": 87538, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.999862915110182, "F1": 0.75, "Memory in Mb": 0.1783208847045898, "Time in s": 4754.622131000001 }, { "step": 89441, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998546511627908, "F1": 0.7346938775510204, "Memory in Mb": 0.1783475875854492, "Time in s": 4964.315109000001 }, { "step": 91344, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998576792967168, "F1": 0.7346938775510204, "Memory in Mb": 0.1972723007202148, "Time in s": 5178.776489000001 }, { "step": 93247, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998605838320144, "F1": 0.7346938775510204, "Memory in Mb": 0.2118177413940429, "Time in s": 5398.511461000001 }, { "step": 95150, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998633721846788, "F1": 0.7346938775510204, "Memory in Mb": 0.2117490768432617, "Time in s": 5623.669278000001 }, { "step": 95156, "track": "Binary classification", "model": "Aggregated Mondrian Forest", "dataset": "SMTP", "Accuracy": 0.9998633807997478, "F1": 0.7346938775510204, "Memory in Mb": 0.2117490768432617, "Time in s": 5848.865968000001 }, { "step": 106, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5377358490566038, "F1": 0.5242718446601942, "Memory in Mb": 0.0028944015502929, "Time in s": 0.039715 }, { "step": 212, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5330188679245284, "F1": 0.5217391304347825, "Memory in Mb": 0.0028944015502929, "Time in s": 0.180531 }, { "step": 318, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5188679245283019, "F1": 0.5173501577287066, "Memory in Mb": 0.0029211044311523, "Time in s": 0.3338649999999999 }, { "step": 424, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5330188679245284, "F1": 0.5330188679245282, "Memory in Mb": 0.0029211044311523, "Time in s": 0.4937739999999999 }, { "step": 530, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5207547169811321, "F1": 0.5115384615384615, "Memory in Mb": 0.0029211044311523, "Time in s": 0.7446539999999999 }, { "step": 636, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5377358490566038, "F1": 0.5303514376996804, "Memory in Mb": 0.0029211044311523, "Time in s": 1.03169 }, { "step": 742, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.522911051212938, "F1": 0.512396694214876, "Memory in Mb": 0.0029211044311523, "Time in s": 1.379859 }, { "step": 848, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5235849056603774, "F1": 0.5061124694376529, "Memory in Mb": 0.0029211044311523, "Time in s": 1.737155 }, { "step": 954, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5157232704402516, "F1": 0.5, "Memory in Mb": 0.0029211044311523, "Time in s": 2.173505 }, { "step": 1060, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5160377358490567, "F1": 0.4975514201762978, "Memory in Mb": 0.0029211044311523, "Time in s": 2.70321 }, { "step": 1166, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5154373927958834, "F1": 0.495985727029438, "Memory in Mb": 0.0029211044311523, "Time in s": 3.270309 }, { "step": 1272, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5165094339622641, "F1": 0.4979591836734694, "Memory in Mb": 0.0029211044311523, "Time in s": 3.844268 }, { "step": 1378, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5195936139332366, "F1": 0.4977238239757208, "Memory in Mb": 0.0029211044311523, "Time in s": 4.501151 }, { "step": 1484, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5195417789757413, "F1": 0.4968242766407903, "Memory in Mb": 0.0029211044311523, "Time in s": 5.229491 }, { "step": 1590, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5226415094339623, "F1": 0.4983476536682089, "Memory in Mb": 0.0029211044311523, "Time in s": 6.030342 }, { "step": 1696, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5194575471698113, "F1": 0.4947303161810291, "Memory in Mb": 0.0029211044311523, "Time in s": 6.8837410000000006 }, { "step": 1802, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5205327413984462, "F1": 0.4965034965034965, "Memory in Mb": 0.0029211044311523, "Time in s": 7.813207 }, { "step": 1908, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5193920335429769, "F1": 0.4964305326743548, "Memory in Mb": 0.0029211044311523, "Time in s": 8.751116 }, { "step": 2014, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.519364448857994, "F1": 0.4989648033126293, "Memory in Mb": 0.0029211044311523, "Time in s": 9.762632 }, { "step": 2120, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5174528301886793, "F1": 0.4997555012224939, "Memory in Mb": 0.0029211044311523, "Time in s": 10.806008 }, { "step": 2226, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5197663971248877, "F1": 0.5002337540906966, "Memory in Mb": 0.0029211044311523, "Time in s": 11.968014 }, { "step": 2332, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5175814751286449, "F1": 0.4975435462259938, "Memory in Mb": 0.0029211044311523, "Time in s": 13.16512 }, { "step": 2438, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5176374077112387, "F1": 0.4957118353344769, "Memory in Mb": 0.0029211044311523, "Time in s": 14.408045 }, { "step": 2544, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5196540880503144, "F1": 0.5008169934640523, "Memory in Mb": 0.0029211044311523, "Time in s": 15.661105 }, { "step": 2650, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.520377358490566, "F1": 0.5037094884810621, "Memory in Mb": 0.0029211044311523, "Time in s": 17.014893999999998 }, { "step": 2756, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.521044992743106, "F1": 0.5041322314049587, "Memory in Mb": 0.0029211044311523, "Time in s": 18.454389 }, { "step": 2862, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5213137665967854, "F1": 0.5032632342277013, "Memory in Mb": 0.0029211044311523, "Time in s": 19.942263 }, { "step": 2968, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5175202156334232, "F1": 0.4985994397759103, "Memory in Mb": 0.0029211044311523, "Time in s": 21.473074 }, { "step": 3074, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5152895250487963, "F1": 0.4969615124915597, "Memory in Mb": 0.0029211044311523, "Time in s": 23.106855 }, { "step": 3180, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5132075471698113, "F1": 0.4931237721021611, "Memory in Mb": 0.0029211044311523, "Time in s": 24.747764 }, { "step": 3286, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5130858186244674, "F1": 0.4927076727964489, "Memory in Mb": 0.0029211044311523, "Time in s": 26.464385 }, { "step": 3392, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5103183962264151, "F1": 0.490959239963224, "Memory in Mb": 0.0029211044311523, "Time in s": 28.215584 }, { "step": 3498, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5091480846197828, "F1": 0.4891401368640284, "Memory in Mb": 0.0029211044311523, "Time in s": 30.068049 }, { "step": 3604, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5097114317425083, "F1": 0.4876775877065816, "Memory in Mb": 0.0029211044311523, "Time in s": 31.96012 }, { "step": 3710, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5118598382749326, "F1": 0.4908630868709586, "Memory in Mb": 0.0029211044311523, "Time in s": 33.864206 }, { "step": 3816, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.510482180293501, "F1": 0.4893384363039912, "Memory in Mb": 0.0029211044311523, "Time in s": 35.803291 }, { "step": 3922, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.50790413054564, "F1": 0.485881726158764, "Memory in Mb": 0.0029211044311523, "Time in s": 37.844614 }, { "step": 4028, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.506454816285998, "F1": 0.4844398340248962, "Memory in Mb": 0.0029211044311523, "Time in s": 39.968017 }, { "step": 4134, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5050798258345428, "F1": 0.4828109201213346, "Memory in Mb": 0.0029211044311523, "Time in s": 42.128298 }, { "step": 4240, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5068396226415094, "F1": 0.4848484848484848, "Memory in Mb": 0.0029211044311523, "Time in s": 44.30306 }, { "step": 4346, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5080533824206167, "F1": 0.4858104858104858, "Memory in Mb": 0.0029211044311523, "Time in s": 46.485881 }, { "step": 4452, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5080862533692723, "F1": 0.4847058823529412, "Memory in Mb": 0.0029211044311523, "Time in s": 48.746465 }, { "step": 4558, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5063624396665204, "F1": 0.4837081229921982, "Memory in Mb": 0.0029211044311523, "Time in s": 51.058035 }, { "step": 4664, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5051457975986278, "F1": 0.4829749103942652, "Memory in Mb": 0.0029211044311523, "Time in s": 53.475871000000005 }, { "step": 4770, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5048218029350104, "F1": 0.482017543859649, "Memory in Mb": 0.0029211044311523, "Time in s": 55.900409 }, { "step": 4876, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5036915504511895, "F1": 0.4802405498281787, "Memory in Mb": 0.0029211044311523, "Time in s": 58.409701000000005 }, { "step": 4982, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5038137294259334, "F1": 0.4811083123425693, "Memory in Mb": 0.0029211044311523, "Time in s": 60.970617 }, { "step": 5088, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5029481132075472, "F1": 0.4799506477483035, "Memory in Mb": 0.0029211044311523, "Time in s": 63.61249900000001 }, { "step": 5194, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5040431266846361, "F1": 0.4810636583400483, "Memory in Mb": 0.0029211044311523, "Time in s": 66.28843800000001 }, { "step": 5300, "track": "Binary classification", "model": "ALMA", "dataset": "Bananas", "Accuracy": 0.5064150943396226, "F1": 0.4825949367088608, "Memory in Mb": 0.0029211044311523, "Time in s": 68.97313600000001 }, { "step": 906, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9072847682119204, "F1": 0.90561797752809, "Memory in Mb": 0.0043582916259765, "Time in s": 0.679052 }, { "step": 1812, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9166666666666666, "F1": 0.8967874231032126, "Memory in Mb": 0.0043582916259765, "Time in s": 1.978643 }, { "step": 2718, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9175864606328182, "F1": 0.898458748866727, "Memory in Mb": 0.0043582916259765, "Time in s": 3.929769 }, { "step": 3624, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9268763796909492, "F1": 0.9098945936756204, "Memory in Mb": 0.0043582916259765, "Time in s": 6.478699 }, { "step": 4530, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9271523178807948, "F1": 0.9076664801343034, "Memory in Mb": 0.0043582916259765, "Time in s": 9.702945 }, { "step": 5436, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9269683590875644, "F1": 0.907437631149452, "Memory in Mb": 0.0043582916259765, "Time in s": 13.508006 }, { "step": 6342, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9274676758120468, "F1": 0.9089108910891088, "Memory in Mb": 0.0043582916259765, "Time in s": 17.915655 }, { "step": 7248, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.925496688741722, "F1": 0.9066390041493776, "Memory in Mb": 0.0043582916259765, "Time in s": 22.910275 }, { "step": 8154, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9251900907530046, "F1": 0.9100294985250738, "Memory in Mb": 0.0043582916259765, "Time in s": 28.53571 }, { "step": 9060, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9266004415011038, "F1": 0.9135128105085184, "Memory in Mb": 0.0043582916259765, "Time in s": 34.833569000000004 }, { "step": 9966, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9293598233995584, "F1": 0.9182535996284256, "Memory in Mb": 0.0043582916259765, "Time in s": 41.779447000000005 }, { "step": 10872, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.931383370125092, "F1": 0.9217208814270724, "Memory in Mb": 0.0043582916259765, "Time in s": 49.40882500000001 }, { "step": 11778, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9313975208014944, "F1": 0.9218568665377176, "Memory in Mb": 0.0043582916259765, "Time in s": 57.61408300000001 }, { "step": 12684, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9290444654683064, "F1": 0.9191665169750316, "Memory in Mb": 0.0043582916259765, "Time in s": 66.44160400000001 }, { "step": 13590, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9298013245033112, "F1": 0.9209872453205236, "Memory in Mb": 0.0043582916259765, "Time in s": 75.85703300000002 }, { "step": 14496, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9305325607064018, "F1": 0.9222213640225536, "Memory in Mb": 0.0043582916259765, "Time in s": 85.90938600000001 }, { "step": 15402, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9308531359563692, "F1": 0.922279792746114, "Memory in Mb": 0.0043582916259765, "Time in s": 96.62160000000002 }, { "step": 16308, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9293598233995584, "F1": 0.9203319502074688, "Memory in Mb": 0.0043582916259765, "Time in s": 107.965593 }, { "step": 17214, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9279656093877076, "F1": 0.9176298658163944, "Memory in Mb": 0.0043582916259765, "Time in s": 119.984123 }, { "step": 18120, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9266004415011038, "F1": 0.9160141449861076, "Memory in Mb": 0.0043582916259765, "Time in s": 132.63841200000002 }, { "step": 19026, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9265741616734994, "F1": 0.915143048047136, "Memory in Mb": 0.0043582916259765, "Time in s": 146.00166900000002 }, { "step": 19932, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9262994180212724, "F1": 0.915589266218468, "Memory in Mb": 0.0043582916259765, "Time in s": 159.938555 }, { "step": 20838, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.923217199347346, "F1": 0.9122710823555212, "Memory in Mb": 0.0043582916259765, "Time in s": 174.54734100000002 }, { "step": 21744, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9225073583517291, "F1": 0.9101955977189148, "Memory in Mb": 0.0043582916259765, "Time in s": 189.73533200000003 }, { "step": 22650, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9217218543046356, "F1": 0.9087540528022232, "Memory in Mb": 0.0043582916259765, "Time in s": 205.619545 }, { "step": 23556, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9186619120393956, "F1": 0.905063918343078, "Memory in Mb": 0.0043582916259765, "Time in s": 222.161849 }, { "step": 24462, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9173003025100156, "F1": 0.902885123133791, "Memory in Mb": 0.0043582916259765, "Time in s": 239.399015 }, { "step": 25368, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9144985808893094, "F1": 0.8997643144322751, "Memory in Mb": 0.0043582916259765, "Time in s": 257.26822000000004 }, { "step": 26274, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.91424982872802, "F1": 0.8992622401073105, "Memory in Mb": 0.0043582916259765, "Time in s": 275.765482 }, { "step": 27180, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9138337012509198, "F1": 0.89909521757863, "Memory in Mb": 0.0043582916259765, "Time in s": 294.848784 }, { "step": 28086, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9110232856227302, "F1": 0.8955049132343716, "Memory in Mb": 0.0043582916259765, "Time in s": 314.617946 }, { "step": 28992, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9101476269315674, "F1": 0.8940927755417328, "Memory in Mb": 0.0043582916259765, "Time in s": 335.076303 }, { "step": 29898, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9094922737306844, "F1": 0.8931701539676272, "Memory in Mb": 0.0043582916259765, "Time in s": 356.063392 }, { "step": 30804, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9083235943383976, "F1": 0.8913093680240166, "Memory in Mb": 0.0043582916259765, "Time in s": 377.566828 }, { "step": 31710, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9062125512456638, "F1": 0.8888722815933038, "Memory in Mb": 0.0043582916259765, "Time in s": 399.67833300000007 }, { "step": 32616, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9052918812852588, "F1": 0.8879294706671989, "Memory in Mb": 0.0043582916259765, "Time in s": 422.4669390000001 }, { "step": 33522, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9050474315374978, "F1": 0.8877050626212737, "Memory in Mb": 0.0043582916259765, "Time in s": 445.7904010000001 }, { "step": 34428, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9050772626931568, "F1": 0.8877901387172092, "Memory in Mb": 0.0043582916259765, "Time in s": 469.7481780000001 }, { "step": 35334, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.904539536989868, "F1": 0.8866104144955793, "Memory in Mb": 0.0043582916259765, "Time in s": 494.2109750000001 }, { "step": 36240, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9048013245033112, "F1": 0.8860483551327785, "Memory in Mb": 0.0043582916259765, "Time in s": 519.3392310000002 }, { "step": 37146, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9045119259139612, "F1": 0.8854217139903738, "Memory in Mb": 0.0043582916259765, "Time in s": 545.0643520000001 }, { "step": 38052, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9042625880374224, "F1": 0.8846092933388237, "Memory in Mb": 0.0043582916259765, "Time in s": 571.4397520000001 }, { "step": 38958, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.904409877303763, "F1": 0.88502624266749, "Memory in Mb": 0.0043582916259765, "Time in s": 598.3711440000001 }, { "step": 39864, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.904926750953241, "F1": 0.8863636363636365, "Memory in Mb": 0.0043582916259765, "Time in s": 626.0397580000001 }, { "step": 40770, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9055187637969097, "F1": 0.8878667908709827, "Memory in Mb": 0.0043582916259765, "Time in s": 654.3634580000002 }, { "step": 41676, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9061090315769268, "F1": 0.8892285916489738, "Memory in Mb": 0.0043582916259765, "Time in s": 683.2521370000002 }, { "step": 42582, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9063923723639096, "F1": 0.889810361032786, "Memory in Mb": 0.0043582916259765, "Time in s": 712.7682970000002 }, { "step": 43488, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9067098969830758, "F1": 0.8902534693104661, "Memory in Mb": 0.0043582916259765, "Time in s": 742.9022130000002 }, { "step": 44394, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9062711177186106, "F1": 0.8894732648019762, "Memory in Mb": 0.0043582916259765, "Time in s": 773.7300850000001 }, { "step": 45300, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9064238410596026, "F1": 0.8897844569823977, "Memory in Mb": 0.0043582916259765, "Time in s": 805.1132940000001 }, { "step": 45312, "track": "Binary classification", "model": "ALMA", "dataset": "Elec2", "Accuracy": 0.9064265536723164, "F1": 0.8897670549084858, "Memory in Mb": 0.0043582916259765, "Time in s": 836.4982200000001 }, { "step": 25, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.56, "F1": 0.5217391304347826, "Memory in Mb": 0.0043668746948242, "Time in s": 0.003459 }, { "step": 50, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7, "F1": 0.6341463414634146, "Memory in Mb": 0.0043668746948242, "Time in s": 0.050212 }, { "step": 75, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7066666666666667, "F1": 0.676470588235294, "Memory in Mb": 0.0043668746948242, "Time in s": 0.100001 }, { "step": 100, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.72, "F1": 0.702127659574468, "Memory in Mb": 0.0043668746948242, "Time in s": 0.153128 }, { "step": 125, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.72, "F1": 0.7058823529411765, "Memory in Mb": 0.0043668746948242, "Time in s": 0.228063 }, { "step": 150, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7133333333333334, "F1": 0.7189542483660132, "Memory in Mb": 0.0043668746948242, "Time in s": 0.334445 }, { "step": 175, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7314285714285714, "F1": 0.718562874251497, "Memory in Mb": 0.0043668746948242, "Time in s": 0.511774 }, { "step": 200, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.735, "F1": 0.7225130890052356, "Memory in Mb": 0.0043668746948242, "Time in s": 0.692607 }, { "step": 225, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7244444444444444, "F1": 0.701923076923077, "Memory in Mb": 0.0043668746948242, "Time in s": 0.876779 }, { "step": 250, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.724, "F1": 0.7038626609442059, "Memory in Mb": 0.0043668746948242, "Time in s": 1.156005 }, { "step": 275, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7345454545454545, "F1": 0.7137254901960783, "Memory in Mb": 0.0045804977416992, "Time in s": 1.438242 }, { "step": 300, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7366666666666667, "F1": 0.7127272727272725, "Memory in Mb": 0.0045804977416992, "Time in s": 1.723391 }, { "step": 325, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7476923076923077, "F1": 0.7172413793103447, "Memory in Mb": 0.0045804977416992, "Time in s": 2.078902 }, { "step": 350, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7542857142857143, "F1": 0.7225806451612904, "Memory in Mb": 0.0045804977416992, "Time in s": 2.437997 }, { "step": 375, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7573333333333333, "F1": 0.723404255319149, "Memory in Mb": 0.0045804977416992, "Time in s": 2.800319 }, { "step": 400, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.76, "F1": 0.7257142857142856, "Memory in Mb": 0.0045804977416992, "Time in s": 3.165567 }, { "step": 425, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.76, "F1": 0.7197802197802199, "Memory in Mb": 0.0045804977416992, "Time in s": 3.585508999999999 }, { "step": 450, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7622222222222222, "F1": 0.7206266318537858, "Memory in Mb": 0.0045804977416992, "Time in s": 4.009149999999999 }, { "step": 475, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7663157894736842, "F1": 0.7272727272727272, "Memory in Mb": 0.0045804977416992, "Time in s": 4.435539999999999 }, { "step": 500, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.768, "F1": 0.7327188940092165, "Memory in Mb": 0.0045804977416992, "Time in s": 4.959426999999999 }, { "step": 525, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7714285714285715, "F1": 0.7321428571428573, "Memory in Mb": 0.0045804977416992, "Time in s": 5.485955999999999 }, { "step": 550, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7709090909090909, "F1": 0.7341772151898734, "Memory in Mb": 0.0045804977416992, "Time in s": 6.028689999999999 }, { "step": 575, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7739130434782608, "F1": 0.7379032258064516, "Memory in Mb": 0.0045804977416992, "Time in s": 6.595545999999999 }, { "step": 600, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.78, "F1": 0.7401574803149605, "Memory in Mb": 0.0045804977416992, "Time in s": 7.165257999999999 }, { "step": 625, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7744, "F1": 0.7314285714285715, "Memory in Mb": 0.0045804977416992, "Time in s": 7.741693999999999 }, { "step": 650, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7815384615384615, "F1": 0.7427536231884059, "Memory in Mb": 0.0045804977416992, "Time in s": 8.363988999999998 }, { "step": 675, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7837037037037037, "F1": 0.75, "Memory in Mb": 0.0045804977416992, "Time in s": 9.010548999999996 }, { "step": 700, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.79, "F1": 0.7545909849749582, "Memory in Mb": 0.0045804977416992, "Time in s": 9.660288999999995 }, { "step": 725, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7917241379310345, "F1": 0.7606973058637084, "Memory in Mb": 0.0045804977416992, "Time in s": 10.349524999999996 }, { "step": 750, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.792, "F1": 0.7621951219512195, "Memory in Mb": 0.0045804977416992, "Time in s": 11.041959999999996 }, { "step": 775, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.792258064516129, "F1": 0.7614814814814814, "Memory in Mb": 0.0045804977416992, "Time in s": 11.737615999999996 }, { "step": 800, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.795, "F1": 0.7670454545454546, "Memory in Mb": 0.0045804977416992, "Time in s": 12.526707999999996 }, { "step": 825, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.793939393939394, "F1": 0.7671232876712327, "Memory in Mb": 0.0045804977416992, "Time in s": 13.319008999999996 }, { "step": 850, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.7976470588235294, "F1": 0.7706666666666667, "Memory in Mb": 0.0045804977416992, "Time in s": 14.117527999999997 }, { "step": 875, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8022857142857143, "F1": 0.7744458930899608, "Memory in Mb": 0.0045804977416992, "Time in s": 14.959668999999996 }, { "step": 900, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8011111111111111, "F1": 0.7737041719342603, "Memory in Mb": 0.0045804977416992, "Time in s": 15.804425999999996 }, { "step": 925, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8054054054054054, "F1": 0.7804878048780488, "Memory in Mb": 0.0045804977416992, "Time in s": 16.651646999999997 }, { "step": 950, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8073684210526316, "F1": 0.7849588719153936, "Memory in Mb": 0.0045804977416992, "Time in s": 17.502014999999997 }, { "step": 975, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8102564102564103, "F1": 0.7880870561282932, "Memory in Mb": 0.0045804977416992, "Time in s": 18.418237999999995 }, { "step": 1000, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.811, "F1": 0.7892976588628764, "Memory in Mb": 0.0045804977416992, "Time in s": 19.337672999999995 }, { "step": 1025, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8146341463414634, "F1": 0.7943722943722944, "Memory in Mb": 0.0045804977416992, "Time in s": 20.260238999999995 }, { "step": 1050, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8161904761904762, "F1": 0.7970557308096741, "Memory in Mb": 0.0045804977416992, "Time in s": 21.242111999999995 }, { "step": 1075, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.815813953488372, "F1": 0.7983706720977597, "Memory in Mb": 0.0045804977416992, "Time in s": 22.243638999999995 }, { "step": 1100, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8190909090909091, "F1": 0.8023833167825224, "Memory in Mb": 0.0045804977416992, "Time in s": 23.247954999999997 }, { "step": 1125, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8213333333333334, "F1": 0.8061716489874637, "Memory in Mb": 0.0045804977416992, "Time in s": 24.273946999999996 }, { "step": 1150, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8226086956521739, "F1": 0.8071833648393195, "Memory in Mb": 0.0045804977416992, "Time in s": 25.351544999999994 }, { "step": 1175, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8212765957446808, "F1": 0.8059149722735675, "Memory in Mb": 0.0045804977416992, "Time in s": 26.431981999999994 }, { "step": 1200, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8233333333333334, "F1": 0.8076225045372051, "Memory in Mb": 0.0045804977416992, "Time in s": 27.515220999999997 }, { "step": 1225, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8244897959183674, "F1": 0.8088888888888888, "Memory in Mb": 0.0045804977416992, "Time in s": 28.636604999999992 }, { "step": 1250, "track": "Binary classification", "model": "ALMA", "dataset": "Phishing", "Accuracy": 0.8256, "F1": 0.810763888888889, "Memory in Mb": 0.0045804977416992, "Time in s": 29.761263999999997 }, { "step": 1903, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.720966894377299, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 1.027868 }, { "step": 3806, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7769311613242249, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 3.106358 }, { "step": 5709, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7509196006305833, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 6.233245 }, { "step": 7612, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7900683131897005, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 10.302873 }, { "step": 9515, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7826589595375723, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 15.393504 }, { "step": 11418, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7699246803293046, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 21.578682 }, { "step": 13321, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7722393213722694, "F1": 0.0, "Memory in Mb": 0.0030937194824218, "Time in s": 28.779608 }, { "step": 15224, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7791644771413557, "F1": 0.0041469194312796, "Memory in Mb": 0.0030937194824218, "Time in s": 37.113003 }, { "step": 17127, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.783207800548841, "F1": 0.004824443848834, "Memory in Mb": 0.0030937194824218, "Time in s": 46.3898 }, { "step": 19030, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7891224382553862, "F1": 0.0044653932026792, "Memory in Mb": 0.0030937194824218, "Time in s": 56.715322 }, { "step": 20933, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7832131084889887, "F1": 0.0039508340649692, "Memory in Mb": 0.0030937194824218, "Time in s": 68.217717 }, { "step": 22836, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7821422315641969, "F1": 0.0036050470658922, "Memory in Mb": 0.0030937194824218, "Time in s": 80.77427399999999 }, { "step": 24739, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7877440478596548, "F1": 0.0034162080091098, "Memory in Mb": 0.0030937194824218, "Time in s": 94.432579 }, { "step": 26642, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.78188574431349, "F1": 0.0034299434059338, "Memory in Mb": 0.0030937194824218, "Time in s": 109.06303 }, { "step": 28545, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7857418111753371, "F1": 0.0032594524119947, "Memory in Mb": 0.0030937194824218, "Time in s": 124.719605 }, { "step": 30448, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7871452968996322, "F1": 0.0030764497769573, "Memory in Mb": 0.0030937194824218, "Time in s": 141.369597 }, { "step": 32351, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7866835646502427, "F1": 0.0028897558156335, "Memory in Mb": 0.0030937194824218, "Time in s": 159.093537 }, { "step": 34254, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7860979739592456, "F1": 0.002722199537226, "Memory in Mb": 0.0030937194824218, "Time in s": 177.829964 }, { "step": 36157, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7771939043615345, "F1": 0.0024764735017335, "Memory in Mb": 0.0030937194824218, "Time in s": 197.576045 }, { "step": 38060, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7831581713084603, "F1": 0.0024175027196905, "Memory in Mb": 0.0030937194824218, "Time in s": 218.31617 }, { "step": 39963, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.779496033831294, "F1": 0.0022644927536231, "Memory in Mb": 0.0030937194824218, "Time in s": 240.067789 }, { "step": 41866, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7831175655663307, "F1": 0.0021978021978021, "Memory in Mb": 0.0030937194824218, "Time in s": 262.83473100000003 }, { "step": 43769, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7791130708949257, "F1": 0.0020644095788604, "Memory in Mb": 0.0030937194824218, "Time in s": 286.65613700000006 }, { "step": 45672, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7808066211245402, "F1": 0.0019938191606021, "Memory in Mb": 0.0030937194824218, "Time in s": 311.45044200000007 }, { "step": 47575, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7799684708355229, "F1": 0.001906941266209, "Memory in Mb": 0.0030937194824218, "Time in s": 337.28748800000005 }, { "step": 49478, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7778810784591131, "F1": 0.0018165304268846, "Memory in Mb": 0.0030937194824218, "Time in s": 364.149506 }, { "step": 51381, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7807944570950351, "F1": 0.0021263400372109, "Memory in Mb": 0.0030937194824218, "Time in s": 392.065506 }, { "step": 53284, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7777193904361535, "F1": 0.0020222446916076, "Memory in Mb": 0.0030937194824218, "Time in s": 421.04388200000005 }, { "step": 55187, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7785891604906953, "F1": 0.0019603038470963, "Memory in Mb": 0.0030937194824218, "Time in s": 451.0228320000001 }, { "step": 57090, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7758801891749869, "F1": 0.0026502455374542, "Memory in Mb": 0.0030937194824218, "Time in s": 482.06238400000007 }, { "step": 58993, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.774159646059702, "F1": 0.0025454817698585, "Memory in Mb": 0.0030937194824218, "Time in s": 514.138052 }, { "step": 60896, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7746157383079348, "F1": 0.0024711098190275, "Memory in Mb": 0.0030937194824218, "Time in s": 547.227498 }, { "step": 62799, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7704899759550311, "F1": 0.0023534297778085, "Memory in Mb": 0.0030937194824218, "Time in s": 581.3499069999999 }, { "step": 64702, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.771274458285679, "F1": 0.002292186341266, "Memory in Mb": 0.0030937194824218, "Time in s": 616.580127 }, { "step": 66605, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7721942797087306, "F1": 0.0022358124547905, "Memory in Mb": 0.0030937194824218, "Time in s": 652.800029 }, { "step": 68508, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7705085537455479, "F1": 0.0024111675126903, "Memory in Mb": 0.0030937194824218, "Time in s": 690.043858 }, { "step": 70411, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7685872945988553, "F1": 0.0023267205486162, "Memory in Mb": 0.0030937194824218, "Time in s": 728.276014 }, { "step": 72314, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7687999557485411, "F1": 0.0022677090171271, "Memory in Mb": 0.0030937194824218, "Time in s": 767.526171 }, { "step": 74217, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7657140547313958, "F1": 0.0021806496040399, "Memory in Mb": 0.0030937194824218, "Time in s": 807.759105 }, { "step": 76120, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7665002627430373, "F1": 0.0021333932180552, "Memory in Mb": 0.0030937194824218, "Time in s": 848.897716 }, { "step": 78023, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7657101111210797, "F1": 0.0020744622775412, "Memory in Mb": 0.0030937194824218, "Time in s": 890.953712 }, { "step": 79926, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7636313590070816, "F1": 0.0020073956682514, "Memory in Mb": 0.0030937194824218, "Time in s": 933.942273 }, { "step": 81829, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7647777682728617, "F1": 0.0019703411801306, "Memory in Mb": 0.0030937194824218, "Time in s": 977.888636 }, { "step": 83732, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7652868676252806, "F1": 0.0019298156518206, "Memory in Mb": 0.0030937194824218, "Time in s": 1022.739679 }, { "step": 85635, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7642552694575816, "F1": 0.0018787699001285, "Memory in Mb": 0.0030937194824218, "Time in s": 1068.558668 }, { "step": 87538, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7644680024674998, "F1": 0.001839659178931, "Memory in Mb": 0.0030937194824218, "Time in s": 1115.337297 }, { "step": 89441, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7635312664214399, "F1": 0.0018876828692779, "Memory in Mb": 0.0030937194824218, "Time in s": 1162.988807 }, { "step": 91344, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7650091960063058, "F1": 0.0018600325505696, "Memory in Mb": 0.0030937194824218, "Time in s": 1211.563326 }, { "step": 93247, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7647859984771628, "F1": 0.001820415965048, "Memory in Mb": 0.0030937194824218, "Time in s": 1260.984755 }, { "step": 95150, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7649710982658959, "F1": 0.0017854751595768, "Memory in Mb": 0.0030937194824218, "Time in s": 1311.295723 }, { "step": 95156, "track": "Binary classification", "model": "ALMA", "dataset": "SMTP", "Accuracy": 0.7649859178611963, "F1": 0.0017854751595768, "Memory in Mb": 0.0030937194824218, "Time in s": 1361.607838 }, { "step": 106, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5283018867924528, "F1": 0.4680851063829788, "Memory in Mb": 0.0055513381958007, "Time in s": 0.50714 }, { "step": 212, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5377358490566038, "F1": 0.4673913043478261, "Memory in Mb": 0.0055513381958007, "Time in s": 1.544995 }, { "step": 318, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5345911949685535, "F1": 0.4861111111111111, "Memory in Mb": 0.0055780410766601, "Time in s": 3.028568 }, { "step": 424, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5188679245283019, "F1": 0.4659685863874345, "Memory in Mb": 0.0055780410766601, "Time in s": 4.996646 }, { "step": 530, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5264150943396226, "F1": 0.4256292906178489, "Memory in Mb": 0.0055780410766601, "Time in s": 7.439068000000001 }, { "step": 636, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5235849056603774, "F1": 0.3878787878787879, "Memory in Mb": 0.0055780410766601, "Time in s": 10.329429 }, { "step": 742, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5363881401617251, "F1": 0.3629629629629629, "Memory in Mb": 0.0055780410766601, "Time in s": 13.751562000000002 }, { "step": 848, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5400943396226415, "F1": 0.3389830508474576, "Memory in Mb": 0.0055780410766601, "Time in s": 17.710995 }, { "step": 954, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5440251572327044, "F1": 0.3149606299212598, "Memory in Mb": 0.0055780410766601, "Time in s": 22.189814 }, { "step": 1060, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5518867924528302, "F1": 0.2962962962962963, "Memory in Mb": 0.0055780410766601, "Time in s": 27.154882 }, { "step": 1166, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5523156089193825, "F1": 0.2790055248618784, "Memory in Mb": 0.0055780410766601, "Time in s": 32.629664 }, { "step": 1272, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5542452830188679, "F1": 0.2758620689655172, "Memory in Mb": 0.0055780410766601, "Time in s": 38.64774 }, { "step": 1378, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5566037735849056, "F1": 0.2611850060459492, "Memory in Mb": 0.0055780410766601, "Time in s": 45.182197 }, { "step": 1484, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.557277628032345, "F1": 0.2474226804123711, "Memory in Mb": 0.0055780410766601, "Time in s": 52.237503 }, { "step": 1590, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5578616352201258, "F1": 0.2350380848748639, "Memory in Mb": 0.0055780410766601, "Time in s": 59.74126700000001 }, { "step": 1696, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5595518867924528, "F1": 0.2259067357512953, "Memory in Mb": 0.0055780410766601, "Time in s": 67.72058500000001 }, { "step": 1802, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5566037735849056, "F1": 0.2158979391560353, "Memory in Mb": 0.0055780410766601, "Time in s": 76.17010700000002 }, { "step": 1908, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5545073375262054, "F1": 0.2115027829313543, "Memory in Mb": 0.0055780410766601, "Time in s": 85.08376800000002 }, { "step": 2014, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5496524329692155, "F1": 0.2008810572687224, "Memory in Mb": 0.0055780410766601, "Time in s": 94.42289500000004 }, { "step": 2120, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5466981132075471, "F1": 0.1944677284157585, "Memory in Mb": 0.0055780410766601, "Time in s": 104.22299500000004 }, { "step": 2226, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.550314465408805, "F1": 0.2036595067621321, "Memory in Mb": 0.0055780410766601, "Time in s": 114.52672400000004 }, { "step": 2332, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5493138936535163, "F1": 0.2103681442524417, "Memory in Mb": 0.0055780410766601, "Time in s": 125.29025300000004 }, { "step": 2438, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5479901558654635, "F1": 0.21173104434907, "Memory in Mb": 0.0055780410766601, "Time in s": 136.49837800000003 }, { "step": 2544, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5483490566037735, "F1": 0.2262626262626262, "Memory in Mb": 0.0055780410766601, "Time in s": 148.22051100000004 }, { "step": 2650, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5460377358490566, "F1": 0.2322910019144863, "Memory in Mb": 0.0055780410766601, "Time in s": 160.35879600000004 }, { "step": 2756, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5395500725689405, "F1": 0.2304426925409338, "Memory in Mb": 0.0055780410766601, "Time in s": 173.00042100000005 }, { "step": 2862, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5394828791055206, "F1": 0.2310385064177363, "Memory in Mb": 0.0055780410766601, "Time in s": 186.18470300000004 }, { "step": 2968, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5411051212938005, "F1": 0.2305084745762711, "Memory in Mb": 0.0055780410766601, "Time in s": 199.85251500000004 }, { "step": 3074, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5396877033181522, "F1": 0.227198252321136, "Memory in Mb": 0.0055780410766601, "Time in s": 214.04388100000003 }, { "step": 3180, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5430817610062894, "F1": 0.2283590015932023, "Memory in Mb": 0.0055780410766601, "Time in s": 228.72034700000003 }, { "step": 3286, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5444309190505173, "F1": 0.2247540134645261, "Memory in Mb": 0.0055780410766601, "Time in s": 243.83191300000004 }, { "step": 3392, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5445165094339622, "F1": 0.224786753637732, "Memory in Mb": 0.0055780410766601, "Time in s": 259.480064 }, { "step": 3498, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5463121783876501, "F1": 0.2201474201474201, "Memory in Mb": 0.0055780410766601, "Time in s": 275.54602900000003 }, { "step": 3604, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.548834628190899, "F1": 0.2167630057803468, "Memory in Mb": 0.0055780410766601, "Time in s": 292.10262700000004 }, { "step": 3710, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.547978436657682, "F1": 0.2123062470643494, "Memory in Mb": 0.0055780410766601, "Time in s": 309.14156900000006 }, { "step": 3816, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5474318658280922, "F1": 0.2074346030289123, "Memory in Mb": 0.0055780410766601, "Time in s": 326.6693460000001 }, { "step": 3922, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5484446710861806, "F1": 0.2033288349077822, "Memory in Mb": 0.0055780410766601, "Time in s": 344.5959390000001 }, { "step": 4028, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5489076464746773, "F1": 0.1992066989863376, "Memory in Mb": 0.0055780410766601, "Time in s": 363.0622570000001 }, { "step": 4134, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5491049830672472, "F1": 0.1951640759930915, "Memory in Mb": 0.0055780410766601, "Time in s": 382.0101650000001 }, { "step": 4240, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5483490566037735, "F1": 0.1909590198563582, "Memory in Mb": 0.0055780410766601, "Time in s": 401.4423870000001 }, { "step": 4346, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.548550391164289, "F1": 0.1885856079404466, "Memory in Mb": 0.0055780410766601, "Time in s": 421.3360060000001 }, { "step": 4452, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.550763701707098, "F1": 0.1935483870967742, "Memory in Mb": 0.0055780410766601, "Time in s": 441.6814400000001 }, { "step": 4558, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5482667836770513, "F1": 0.1934978456717587, "Memory in Mb": 0.0055780410766601, "Time in s": 462.3969810000001 }, { "step": 4664, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5490994854202401, "F1": 0.1976344906524227, "Memory in Mb": 0.0055780410766601, "Time in s": 483.6474930000001 }, { "step": 4770, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.550104821802935, "F1": 0.1998508575689783, "Memory in Mb": 0.0055780410766601, "Time in s": 505.4107300000001 }, { "step": 4876, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5504511894995898, "F1": 0.2, "Memory in Mb": 0.0055780410766601, "Time in s": 527.6413840000001 }, { "step": 4982, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5503813729425934, "F1": 0.2062367115520907, "Memory in Mb": 0.0055780410766601, "Time in s": 550.3366250000001 }, { "step": 5088, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5479559748427673, "F1": 0.2041522491349481, "Memory in Mb": 0.0055780410766601, "Time in s": 573.5279610000001 }, { "step": 5194, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5462071621101271, "F1": 0.2023688663282571, "Memory in Mb": 0.0055780410766601, "Time in s": 597.2511250000001 }, { "step": 5300, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Bananas", "Accuracy": 0.5464150943396227, "F1": 0.205026455026455, "Memory in Mb": 0.0055780410766601, "Time in s": 621.4261850000001 }, { "step": 906, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8002207505518764, "F1": 0.7868080094228505, "Memory in Mb": 0.0068016052246093, "Time in s": 4.395754 }, { "step": 1812, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8140176600441501, "F1": 0.7501853224610822, "Memory in Mb": 0.0068016052246093, "Time in s": 13.314942 }, { "step": 2718, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8005886681383371, "F1": 0.7262626262626262, "Memory in Mb": 0.0068016052246093, "Time in s": 26.594138 }, { "step": 3624, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8189845474613686, "F1": 0.7586460632818247, "Memory in Mb": 0.0068016052246093, "Time in s": 44.068779 }, { "step": 4530, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8278145695364238, "F1": 0.7588126159554731, "Memory in Mb": 0.0068016052246093, "Time in s": 65.924464 }, { "step": 5436, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8211920529801324, "F1": 0.7498713329902212, "Memory in Mb": 0.0068016052246093, "Time in s": 92.07692 }, { "step": 6342, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8222958057395143, "F1": 0.7575822757582275, "Memory in Mb": 0.0068016052246093, "Time in s": 122.546282 }, { "step": 7248, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8253311258278145, "F1": 0.7598634294385433, "Memory in Mb": 0.0068016052246093, "Time in s": 157.279906 }, { "step": 8154, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8303899926416483, "F1": 0.780789348549691, "Memory in Mb": 0.0068016052246093, "Time in s": 196.124663 }, { "step": 9060, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8364238410596027, "F1": 0.7958677685950413, "Memory in Mb": 0.0068016052246093, "Time in s": 238.938569 }, { "step": 9966, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8371462974111981, "F1": 0.8011273128293102, "Memory in Mb": 0.0068016052246093, "Time in s": 285.711115 }, { "step": 10872, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8393119941133186, "F1": 0.8079586676926458, "Memory in Mb": 0.0068016052246093, "Time in s": 336.134661 }, { "step": 11778, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8422482594668025, "F1": 0.8114088509947219, "Memory in Mb": 0.0068016052246093, "Time in s": 390.124895 }, { "step": 12684, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8409019236833807, "F1": 0.810445237647943, "Memory in Mb": 0.0068016052246093, "Time in s": 447.475874 }, { "step": 13590, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8427520235467255, "F1": 0.8154098643862832, "Memory in Mb": 0.0068016052246093, "Time in s": 507.886031 }, { "step": 14496, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8438189845474614, "F1": 0.8177720540888602, "Memory in Mb": 0.0068016052246093, "Time in s": 571.200551 }, { "step": 15402, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.845214907154915, "F1": 0.8184587267742918, "Memory in Mb": 0.0068016052246093, "Time in s": 637.3575030000001 }, { "step": 16308, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8397105714986509, "F1": 0.8108264582428716, "Memory in Mb": 0.0068016052246093, "Time in s": 706.2352450000001 }, { "step": 17214, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8384454513767864, "F1": 0.8053202660133008, "Memory in Mb": 0.0068016052246093, "Time in s": 777.6642180000001 }, { "step": 18120, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.840728476821192, "F1": 0.8082646824342281, "Memory in Mb": 0.0068016052246093, "Time in s": 851.7523750000001 }, { "step": 19026, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.843950383685483, "F1": 0.8100326316462987, "Memory in Mb": 0.0068016052246093, "Time in s": 928.4036970000002 }, { "step": 19932, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8412101143889223, "F1": 0.8075636894266431, "Memory in Mb": 0.0068016052246093, "Time in s": 1007.5500400000002 }, { "step": 20838, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8373644303675977, "F1": 0.8028848950154133, "Memory in Mb": 0.0068016052246093, "Time in s": 1089.2694250000002 }, { "step": 21744, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8382542310522443, "F1": 0.8008155405788072, "Memory in Mb": 0.0068016052246093, "Time in s": 1173.5296240000002 }, { "step": 22650, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8376600441501104, "F1": 0.7982441700960219, "Memory in Mb": 0.0068016052246093, "Time in s": 1260.4177460000003 }, { "step": 23556, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8337578536254033, "F1": 0.7924748277689453, "Memory in Mb": 0.0068016052246093, "Time in s": 1349.7468710000005 }, { "step": 24462, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8313302264737144, "F1": 0.7887569117345894, "Memory in Mb": 0.0068016052246093, "Time in s": 1441.5955620000002 }, { "step": 25368, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8278539892778304, "F1": 0.7842711060613546, "Memory in Mb": 0.0068016052246093, "Time in s": 1535.8662290000002 }, { "step": 26274, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8282712948161681, "F1": 0.784486052732136, "Memory in Mb": 0.0068016052246093, "Time in s": 1632.5910050000002 }, { "step": 27180, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8285504047093452, "F1": 0.785431439359057, "Memory in Mb": 0.0068016052246093, "Time in s": 1731.7068200000003 }, { "step": 28086, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.825357829523606, "F1": 0.7809192013935414, "Memory in Mb": 0.0068016052246093, "Time in s": 1833.2277320000003 }, { "step": 28992, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8246412803532008, "F1": 0.7785135488368041, "Memory in Mb": 0.0068016052246093, "Time in s": 1936.9708820000003 }, { "step": 29898, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8228644056458626, "F1": 0.7766343315056937, "Memory in Mb": 0.0068016052246093, "Time in s": 2042.9068730000004 }, { "step": 30804, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8227827554863005, "F1": 0.775599128540305, "Memory in Mb": 0.0068016052246093, "Time in s": 2150.889688 }, { "step": 31710, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8180384736676127, "F1": 0.7686632988533396, "Memory in Mb": 0.0068016052246093, "Time in s": 2260.9522580000003 }, { "step": 32616, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8156119695854795, "F1": 0.765426320305796, "Memory in Mb": 0.0068016052246093, "Time in s": 2373.012802 }, { "step": 33522, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8136746017540719, "F1": 0.7636955205811137, "Memory in Mb": 0.0068016052246093, "Time in s": 2487.1515040000004 }, { "step": 34428, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8108516323922389, "F1": 0.7597934341571375, "Memory in Mb": 0.0068016052246093, "Time in s": 2603.2748090000005 }, { "step": 35334, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.811031867323258, "F1": 0.7582811425261557, "Memory in Mb": 0.0068016052246093, "Time in s": 2721.3856460000006 }, { "step": 36240, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8123344370860928, "F1": 0.7585643792821898, "Memory in Mb": 0.0068016052246093, "Time in s": 2841.498866000001 }, { "step": 37146, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8119312981209282, "F1": 0.7567887480852249, "Memory in Mb": 0.0068016052246093, "Time in s": 2963.634415000001 }, { "step": 38052, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8118364343529907, "F1": 0.7562636165577343, "Memory in Mb": 0.0068016052246093, "Time in s": 3087.755988000001 }, { "step": 38958, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8128497356127111, "F1": 0.7583601232890332, "Memory in Mb": 0.0068016052246093, "Time in s": 3213.7594090000007 }, { "step": 39864, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8136162954043749, "F1": 0.7616297722168751, "Memory in Mb": 0.0068016052246093, "Time in s": 3341.6530200000007 }, { "step": 40770, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8154034829531518, "F1": 0.7662732919254659, "Memory in Mb": 0.0068016052246093, "Time in s": 3471.3422760000008 }, { "step": 41676, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8169929935694404, "F1": 0.7702641645832705, "Memory in Mb": 0.0068016052246093, "Time in s": 3602.9648230000007 }, { "step": 42582, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8180216993095675, "F1": 0.7720681236579698, "Memory in Mb": 0.0068016052246093, "Time in s": 3737.0799900000006 }, { "step": 43488, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8185936350257542, "F1": 0.7730894238789657, "Memory in Mb": 0.0068016052246093, "Time in s": 3873.415774000001 }, { "step": 44394, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8179708969680587, "F1": 0.7710051290770494, "Memory in Mb": 0.0068016052246093, "Time in s": 4011.612716000001 }, { "step": 45300, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8190949227373069, "F1": 0.7729350807680585, "Memory in Mb": 0.0068016052246093, "Time in s": 4151.679177000001 }, { "step": 45312, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Elec2", "Accuracy": 0.8190986935028248, "F1": 0.7728922505749037, "Memory in Mb": 0.0068016052246093, "Time in s": 4291.771713000001 }, { "step": 25, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.68, "F1": 0.6923076923076923, "Memory in Mb": 0.0068025588989257, "Time in s": 0.149754 }, { "step": 50, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8, "F1": 0.782608695652174, "Memory in Mb": 0.0068025588989257, "Time in s": 0.457736 }, { "step": 75, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8266666666666667, "F1": 0.8219178082191781, "Memory in Mb": 0.0068025588989257, "Time in s": 0.892069 }, { "step": 100, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.83, "F1": 0.8210526315789473, "Memory in Mb": 0.0068025588989257, "Time in s": 1.419094 }, { "step": 125, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.816, "F1": 0.8067226890756303, "Memory in Mb": 0.0068025588989257, "Time in s": 2.091236 }, { "step": 150, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.82, "F1": 0.8187919463087249, "Memory in Mb": 0.0068025588989257, "Time in s": 2.916232 }, { "step": 175, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8285714285714286, "F1": 0.8170731707317075, "Memory in Mb": 0.0068025588989257, "Time in s": 3.840025 }, { "step": 200, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.825, "F1": 0.8128342245989306, "Memory in Mb": 0.0068025588989257, "Time in s": 4.910046 }, { "step": 225, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8222222222222222, "F1": 0.8058252427184465, "Memory in Mb": 0.0068025588989257, "Time in s": 6.121922 }, { "step": 250, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.824, "F1": 0.8103448275862069, "Memory in Mb": 0.0068025588989257, "Time in s": 7.479490999999999 }, { "step": 275, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8254545454545454, "F1": 0.8110236220472441, "Memory in Mb": 0.0070161819458007, "Time in s": 8.920382 }, { "step": 300, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8366666666666667, "F1": 0.8191881918819188, "Memory in Mb": 0.0070161819458007, "Time in s": 10.509974 }, { "step": 325, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8461538461538461, "F1": 0.8251748251748252, "Memory in Mb": 0.0070161819458007, "Time in s": 12.191812 }, { "step": 350, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8514285714285714, "F1": 0.8289473684210525, "Memory in Mb": 0.0070161819458007, "Time in s": 13.999137 }, { "step": 375, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8506666666666667, "F1": 0.8271604938271606, "Memory in Mb": 0.0070161819458007, "Time in s": 15.959285 }, { "step": 400, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8525, "F1": 0.8269794721407624, "Memory in Mb": 0.0070161819458007, "Time in s": 18.058664 }, { "step": 425, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8564705882352941, "F1": 0.828169014084507, "Memory in Mb": 0.0070161819458007, "Time in s": 20.312993 }, { "step": 450, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.86, "F1": 0.8301886792452831, "Memory in Mb": 0.0070161819458007, "Time in s": 22.675489 }, { "step": 475, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8589473684210527, "F1": 0.830379746835443, "Memory in Mb": 0.0070161819458007, "Time in s": 25.19503 }, { "step": 500, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.858, "F1": 0.8329411764705883, "Memory in Mb": 0.0070161819458007, "Time in s": 27.784241 }, { "step": 525, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8571428571428571, "F1": 0.8283752860411898, "Memory in Mb": 0.0070161819458007, "Time in s": 30.514065 }, { "step": 550, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8618181818181818, "F1": 0.8354978354978354, "Memory in Mb": 0.0070161819458007, "Time in s": 33.400870999999995 }, { "step": 575, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8626086956521739, "F1": 0.8364389233954452, "Memory in Mb": 0.0070161819458007, "Time in s": 36.397646 }, { "step": 600, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8666666666666667, "F1": 0.8387096774193549, "Memory in Mb": 0.0070161819458007, "Time in s": 39.57675499999999 }, { "step": 625, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8672, "F1": 0.8362919132149901, "Memory in Mb": 0.0070161819458007, "Time in s": 42.828696 }, { "step": 650, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8707692307692307, "F1": 0.8432835820895522, "Memory in Mb": 0.0070161819458007, "Time in s": 46.253182 }, { "step": 675, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8725925925925926, "F1": 0.8485915492957746, "Memory in Mb": 0.0070161819458007, "Time in s": 49.816151 }, { "step": 700, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8771428571428571, "F1": 0.8522336769759451, "Memory in Mb": 0.0070161819458007, "Time in s": 53.516545 }, { "step": 725, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8786206896551724, "F1": 0.8566775244299674, "Memory in Mb": 0.0070161819458007, "Time in s": 57.35818 }, { "step": 750, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.88, "F1": 0.8589341692789968, "Memory in Mb": 0.0070161819458007, "Time in s": 61.281034000000005 }, { "step": 775, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8812903225806452, "F1": 0.8597560975609757, "Memory in Mb": 0.0070161819458007, "Time in s": 65.347537 }, { "step": 800, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.88125, "F1": 0.8613138686131386, "Memory in Mb": 0.0070161819458007, "Time in s": 69.566336 }, { "step": 825, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8812121212121212, "F1": 0.8623595505617978, "Memory in Mb": 0.0070161819458007, "Time in s": 73.91498000000001 }, { "step": 850, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8823529411764706, "F1": 0.8630136986301369, "Memory in Mb": 0.0070161819458007, "Time in s": 78.39968800000001 }, { "step": 875, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8857142857142857, "F1": 0.8663101604278075, "Memory in Mb": 0.0070161819458007, "Time in s": 83.02084100000002 }, { "step": 900, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8844444444444445, "F1": 0.8645833333333334, "Memory in Mb": 0.0070161819458007, "Time in s": 87.71921500000002 }, { "step": 925, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8864864864864865, "F1": 0.8682559598494354, "Memory in Mb": 0.0070161819458007, "Time in s": 92.55798800000002 }, { "step": 950, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8863157894736842, "F1": 0.8695652173913043, "Memory in Mb": 0.0070161819458007, "Time in s": 97.51738800000004 }, { "step": 975, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8871794871794871, "F1": 0.8702830188679245, "Memory in Mb": 0.0070161819458007, "Time in s": 102.59954100000004 }, { "step": 1000, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.888, "F1": 0.871264367816092, "Memory in Mb": 0.0070161819458007, "Time in s": 107.87282600000005 }, { "step": 1025, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8878048780487805, "F1": 0.8715083798882682, "Memory in Mb": 0.0070161819458007, "Time in s": 113.28564700000004 }, { "step": 1050, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8895238095238095, "F1": 0.8739130434782609, "Memory in Mb": 0.0070161819458007, "Time in s": 118.79277100000004 }, { "step": 1075, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8883720930232558, "F1": 0.8736842105263158, "Memory in Mb": 0.0070161819458007, "Time in s": 124.46348200000004 }, { "step": 1100, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.89, "F1": 0.8756423432682425, "Memory in Mb": 0.0070161819458007, "Time in s": 130.26843700000003 }, { "step": 1125, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8915555555555555, "F1": 0.8784860557768924, "Memory in Mb": 0.0070161819458007, "Time in s": 136.21796400000002 }, { "step": 1150, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8913043478260869, "F1": 0.878048780487805, "Memory in Mb": 0.0070161819458007, "Time in s": 142.31432400000003 }, { "step": 1175, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8902127659574468, "F1": 0.876555023923445, "Memory in Mb": 0.0070161819458007, "Time in s": 148.52290000000002 }, { "step": 1200, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8908333333333334, "F1": 0.8769953051643193, "Memory in Mb": 0.0070161819458007, "Time in s": 154.887447 }, { "step": 1225, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8914285714285715, "F1": 0.8776448942042319, "Memory in Mb": 0.0070161819458007, "Time in s": 161.410896 }, { "step": 1250, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "Phishing", "Accuracy": 0.8896, "F1": 0.8761220825852785, "Memory in Mb": 0.0070161819458007, "Time in s": 167.984219 }, { "step": 1903, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.996847083552286, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 9.012274 }, { "step": 3806, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9984235417761428, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 26.992092 }, { "step": 5709, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.998949027850762, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 53.749217 }, { "step": 7612, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9992117708880714, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 89.545782 }, { "step": 9515, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9993694167104572, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 133.365466 }, { "step": 11418, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999474513925381, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 185.067425 }, { "step": 13321, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9995495833646124, "F1": 0.0, "Memory in Mb": 0.0057430267333984, "Time in s": 243.739666 }, { "step": 15224, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9992774566473988, "F1": 0.5217391304347826, "Memory in Mb": 0.0057430267333984, "Time in s": 308.57406100000003 }, { "step": 17127, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9993577392421324, "F1": 0.5925925925925927, "Memory in Mb": 0.0057430267333984, "Time in s": 378.971453 }, { "step": 19030, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999421965317919, "F1": 0.5925925925925927, "Memory in Mb": 0.0057430267333984, "Time in s": 454.798992 }, { "step": 20933, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999474513925381, "F1": 0.5925925925925927, "Memory in Mb": 0.0057430267333984, "Time in s": 535.937031 }, { "step": 22836, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9995183044315992, "F1": 0.5925925925925927, "Memory in Mb": 0.0057430267333984, "Time in s": 622.51799 }, { "step": 24739, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9995553579368608, "F1": 0.5925925925925927, "Memory in Mb": 0.0057430267333984, "Time in s": 714.221122 }, { "step": 26642, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9995495833646124, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 811.098386 }, { "step": 28545, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9995796111403048, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 912.878884 }, { "step": 30448, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996058854440356, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1019.269091 }, { "step": 32351, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.99962906865321, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1129.962426 }, { "step": 34254, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999649675950254, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1244.872652 }, { "step": 36157, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996681140581354, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1363.91764 }, { "step": 38060, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996847083552286, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1487.072194 }, { "step": 39963, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996997222430748, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1614.171257 }, { "step": 41866, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999713371232026, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1745.093316 }, { "step": 43769, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997258333523726, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 1880.714485 }, { "step": 45672, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997372569626904, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 2020.289668 }, { "step": 47575, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997477666841827, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 2163.67936 }, { "step": 49478, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997574679655604, "F1": 0.5714285714285714, "Memory in Mb": 0.0057430267333984, "Time in s": 2310.817497 }, { "step": 51381, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997275257390864, "F1": 0.5333333333333333, "Memory in Mb": 0.0057430267333984, "Time in s": 2461.472155 }, { "step": 53284, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997372569626904, "F1": 0.5333333333333333, "Memory in Mb": 0.0057430267333984, "Time in s": 2615.677493 }, { "step": 55187, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997463170674252, "F1": 0.5333333333333333, "Memory in Mb": 0.0057430267333984, "Time in s": 2773.449537 }, { "step": 57090, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999597127342792, "F1": 0.4102564102564102, "Memory in Mb": 0.0057430267333984, "Time in s": 2934.793173 }, { "step": 58993, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.99961012323496, "F1": 0.4102564102564102, "Memory in Mb": 0.0057430267333984, "Time in s": 3099.649087 }, { "step": 60896, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996223068838676, "F1": 0.4102564102564102, "Memory in Mb": 0.0057430267333984, "Time in s": 3268.0999800000004 }, { "step": 62799, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996019044889248, "F1": 0.3902439024390244, "Memory in Mb": 0.0057430267333984, "Time in s": 3440.0722140000003 }, { "step": 64702, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996136131804272, "F1": 0.3902439024390244, "Memory in Mb": 0.0057430267333984, "Time in s": 3615.503218 }, { "step": 66605, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996246528038436, "F1": 0.3902439024390244, "Memory in Mb": 0.0057430267333984, "Time in s": 3794.437889 }, { "step": 68508, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996058854440356, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 3977.094501000001 }, { "step": 70411, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996165371887916, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 4163.174128000001 }, { "step": 72314, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996266283154024, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 4352.606393000001 }, { "step": 74217, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996362019483408, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 4545.416162000001 }, { "step": 76120, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999645296899632, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 4741.562007000001 }, { "step": 78023, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.999653948194763, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 4941.079189000001 }, { "step": 79926, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996621875234591, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 5143.951781000001 }, { "step": 81829, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996700436275648, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 5350.231536 }, { "step": 83732, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996775426360291, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 5559.929647 }, { "step": 85635, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996847083552286, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 5773.003953 }, { "step": 87538, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996915625214192, "F1": 0.3720930232558139, "Memory in Mb": 0.0057430267333984, "Time in s": 5989.467769000001 }, { "step": 89441, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996869444661844, "F1": 0.3636363636363636, "Memory in Mb": 0.0057430267333984, "Time in s": 6209.264779000001 }, { "step": 91344, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996934664564724, "F1": 0.3636363636363636, "Memory in Mb": 0.0057430267333984, "Time in s": 6432.452666000001 }, { "step": 93247, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9996997222430748, "F1": 0.3636363636363636, "Memory in Mb": 0.0057430267333984, "Time in s": 6658.918178000001 }, { "step": 95150, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997057277982132, "F1": 0.3636363636363636, "Memory in Mb": 0.0057430267333984, "Time in s": 6888.546542000001 }, { "step": 95156, "track": "Binary classification", "model": "sklearn SGDClassifier", "dataset": "SMTP", "Accuracy": 0.9997057463533566, "F1": 0.3636363636363636, "Memory in Mb": 0.0057430267333984, "Time in s": 7118.179378000001 }, { "step": 106, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 0.16057 }, { "step": 212, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5283018867924528, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 0.37729 }, { "step": 318, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5314465408805031, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 0.7064710000000001 }, { "step": 424, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5400943396226415, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 1.0774430000000002 }, { "step": 530, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5547169811320755, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 1.492379 }, { "step": 636, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5550314465408805, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 1.9966470000000005 }, { "step": 742, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5660377358490566, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 2.539797 }, { "step": 848, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5636792452830188, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 3.1757850000000003 }, { "step": 954, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5649895178197065, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 3.855114 }, { "step": 1060, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5707547169811321, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 4.635951 }, { "step": 1166, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5686106346483705, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 5.458947 }, { "step": 1272, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5644654088050315, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 6.34328 }, { "step": 1378, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5682148040638607, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 7.308669 }, { "step": 1484, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5680592991913747, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 8.359952 }, { "step": 1590, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5679245283018868, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 9.451883 }, { "step": 1696, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5683962264150944, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 10.590847 }, { "step": 1802, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5643729189789123, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 11.83715 }, { "step": 1908, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.560272536687631, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 13.126962 }, { "step": 2014, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5551142005958292, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 14.497203999999998 }, { "step": 2120, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5509433962264151, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 15.938437999999998 }, { "step": 2226, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5512129380053908, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 17.424999 }, { "step": 2332, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5506003430531733, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 19.022886 }, { "step": 2438, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.551681706316653, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 20.666828 }, { "step": 2544, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5487421383647799, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 22.355416 }, { "step": 2650, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5467924528301886, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 24.051772 }, { "step": 2756, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5471698113207547, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 25.858309 }, { "step": 2862, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5489168413696716, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 27.751459 }, { "step": 2968, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5505390835579514, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 29.665552 }, { "step": 3074, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5487963565387117, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 31.686176 }, { "step": 3180, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5509433962264151, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 33.740652 }, { "step": 3286, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5517346317711503, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 35.89104 }, { "step": 3392, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5498231132075472, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 38.079414 }, { "step": 3498, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5514579759862779, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 40.353903 }, { "step": 3604, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5535516093229744, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 42.668922 }, { "step": 3710, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5522911051212938, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 45.086801 }, { "step": 3816, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5516247379454927, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 47.540759 }, { "step": 3922, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5525242223355431, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 50.094246 }, { "step": 4028, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5528798411122146, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 52.697211 }, { "step": 4134, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5529753265602322, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 55.369587 }, { "step": 4240, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5523584905660377, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 58.109436 }, { "step": 4346, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5526921306948919, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 60.894093 }, { "step": 4452, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5530098831985625, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 63.717346 }, { "step": 4558, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5508995173321632, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 66.643891 }, { "step": 4664, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5497427101200686, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 69.6601 }, { "step": 4770, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5505241090146751, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 72.725555 }, { "step": 4876, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5518867924528302, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 75.798736 }, { "step": 4982, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5509835407466881, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 78.970205 }, { "step": 5088, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5511006289308176, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 82.150165 }, { "step": 5194, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5514054678475163, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 85.416127 }, { "step": 5300, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Bananas", "Accuracy": 0.5513207547169812, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 88.72481 }, { "step": 906, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6799116997792495, "F1": 0.5482866043613708, "Memory in Mb": 0.0006465911865234, "Time in s": 0.820242 }, { "step": 1812, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.7190949227373068, "F1": 0.4904904904904904, "Memory in Mb": 0.0006465911865234, "Time in s": 2.329863 }, { "step": 2718, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6986754966887417, "F1": 0.4324324324324324, "Memory in Mb": 0.0006465911865234, "Time in s": 4.585071 }, { "step": 3624, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.7047461368653422, "F1": 0.4478844169246646, "Memory in Mb": 0.0006465911865234, "Time in s": 7.424633 }, { "step": 4530, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.7024282560706402, "F1": 0.4118673647469459, "Memory in Mb": 0.0006465911865234, "Time in s": 10.992865 }, { "step": 5436, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.7041942604856513, "F1": 0.4165457184325108, "Memory in Mb": 0.0006465911865234, "Time in s": 15.263433 }, { "step": 6342, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6986754966887417, "F1": 0.4048582995951417, "Memory in Mb": 0.0006465911865234, "Time in s": 20.287068 }, { "step": 7248, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.695364238410596, "F1": 0.3953997809419496, "Memory in Mb": 0.0006465911865234, "Time in s": 26.004014 }, { "step": 8154, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6873926907039489, "F1": 0.4084474355999072, "Memory in Mb": 0.0006465911865234, "Time in s": 32.433812 }, { "step": 9060, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6864238410596026, "F1": 0.4240827082911007, "Memory in Mb": 0.0006465911865234, "Time in s": 39.59982599999999 }, { "step": 9966, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.687537627934979, "F1": 0.4433321415802646, "Memory in Mb": 0.0006465911865234, "Time in s": 47.447315 }, { "step": 10872, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6938925680647535, "F1": 0.4717460317460317, "Memory in Mb": 0.0006465911865234, "Time in s": 55.964905 }, { "step": 11778, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6932416369502462, "F1": 0.4715518502267076, "Memory in Mb": 0.0006465911865234, "Time in s": 65.217817 }, { "step": 12684, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6944970040996531, "F1": 0.4755717959128434, "Memory in Mb": 0.0006465911865234, "Time in s": 75.258293 }, { "step": 13590, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6942604856512141, "F1": 0.4842993670100534, "Memory in Mb": 0.0006465911865234, "Time in s": 85.993354 }, { "step": 14496, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6935016556291391, "F1": 0.4860613071139387, "Memory in Mb": 0.0006465911865234, "Time in s": 97.389046 }, { "step": 15402, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6929619529931178, "F1": 0.480957084842498, "Memory in Mb": 0.0006465911865234, "Time in s": 109.49806 }, { "step": 16308, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6904586705911209, "F1": 0.4713028906577293, "Memory in Mb": 0.0006465911865234, "Time in s": 122.273049 }, { "step": 17214, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6921691646334379, "F1": 0.4645852278468223, "Memory in Mb": 0.0006465911865234, "Time in s": 135.723897 }, { "step": 18120, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.694205298013245, "F1": 0.4685911575716888, "Memory in Mb": 0.0006465911865234, "Time in s": 150.008391 }, { "step": 19026, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6967307894460212, "F1": 0.467515688445921, "Memory in Mb": 0.0006465911865234, "Time in s": 164.94785199999998 }, { "step": 19932, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6958157736303432, "F1": 0.4737435986459509, "Memory in Mb": 0.0006465911865234, "Time in s": 180.578389 }, { "step": 20838, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6933966791438718, "F1": 0.4696604963891426, "Memory in Mb": 0.0006465911865234, "Time in s": 196.972492 }, { "step": 21744, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6968359087564385, "F1": 0.4670978172999191, "Memory in Mb": 0.0006465911865234, "Time in s": 214.037594 }, { "step": 22650, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6977041942604857, "F1": 0.4643667370726746, "Memory in Mb": 0.0006465911865234, "Time in s": 231.758696 }, { "step": 23556, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6952368823229751, "F1": 0.4573285962657797, "Memory in Mb": 0.0006465911865234, "Time in s": 250.247632 }, { "step": 24462, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6978170223203336, "F1": 0.4597281099254495, "Memory in Mb": 0.0006465911865234, "Time in s": 269.425119 }, { "step": 25368, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6976505834121728, "F1": 0.4612250632200056, "Memory in Mb": 0.0006465911865234, "Time in s": 289.286378 }, { "step": 26274, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6983329527289336, "F1": 0.4614757439869547, "Memory in Mb": 0.0006465911865234, "Time in s": 309.833587 }, { "step": 27180, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6959896983075791, "F1": 0.4576304561864129, "Memory in Mb": 0.0006465911865234, "Time in s": 331.075152 }, { "step": 28086, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.695649077832372, "F1": 0.4559572301425662, "Memory in Mb": 0.0006465911865234, "Time in s": 353.085242 }, { "step": 28992, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6952262693156733, "F1": 0.4515207945375543, "Memory in Mb": 0.0006465911865234, "Time in s": 375.713328 }, { "step": 29898, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6939260151180681, "F1": 0.4465678863017841, "Memory in Mb": 0.0006465911865234, "Time in s": 399.011341 }, { "step": 30804, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6941630957018569, "F1": 0.4433020150091591, "Memory in Mb": 0.0006465911865234, "Time in s": 423.007885 }, { "step": 31710, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6917376222011984, "F1": 0.4368266405484819, "Memory in Mb": 0.0006465911865234, "Time in s": 447.820686 }, { "step": 32616, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6893549178317391, "F1": 0.4316805025802109, "Memory in Mb": 0.0006465911865234, "Time in s": 473.259187 }, { "step": 33522, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.688353916830738, "F1": 0.4290944860374884, "Memory in Mb": 0.0006465911865234, "Time in s": 499.4094079999999 }, { "step": 34428, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6863599395840595, "F1": 0.4245363461948412, "Memory in Mb": 0.0006465911865234, "Time in s": 526.1781749999999 }, { "step": 35334, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6869304352748061, "F1": 0.4212013394725827, "Memory in Mb": 0.0006465911865234, "Time in s": 553.6489789999999 }, { "step": 36240, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6911147902869758, "F1": 0.4267718148299877, "Memory in Mb": 0.0006465911865234, "Time in s": 581.8684239999999 }, { "step": 37146, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6919722177354224, "F1": 0.4269831730769231, "Memory in Mb": 0.0006465911865234, "Time in s": 610.7708879999999 }, { "step": 38052, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6944181646168401, "F1": 0.431171118285882, "Memory in Mb": 0.0006465911865234, "Time in s": 640.2659799999999 }, { "step": 38958, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6937727809435803, "F1": 0.4308206106870229, "Memory in Mb": 0.0006465911865234, "Time in s": 670.4759659999999 }, { "step": 39864, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6930814770218744, "F1": 0.4344288818009522, "Memory in Mb": 0.0006465911865234, "Time in s": 701.3646249999998 }, { "step": 40770, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6924208977189109, "F1": 0.4391771019677997, "Memory in Mb": 0.0006465911865234, "Time in s": 733.0001779999998 }, { "step": 41676, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6933966791438718, "F1": 0.4472227028897733, "Memory in Mb": 0.0006465911865234, "Time in s": 765.3741459999998 }, { "step": 42582, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6956225635244939, "F1": 0.4550767290309018, "Memory in Mb": 0.0006465911865234, "Time in s": 798.4329459999998 }, { "step": 43488, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6962150478292862, "F1": 0.4576097220511558, "Memory in Mb": 0.0006465911865234, "Time in s": 832.1587539999998 }, { "step": 44394, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6963103122043519, "F1": 0.4557564992733731, "Memory in Mb": 0.0006465911865234, "Time in s": 866.6068249999998 }, { "step": 45300, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.697439293598234, "F1": 0.4596278189560006, "Memory in Mb": 0.0006465911865234, "Time in s": 901.80814 }, { "step": 45312, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Elec2", "Accuracy": 0.6974752824858758, "F1": 0.4595915792793503, "Memory in Mb": 0.0006465911865234, "Time in s": 937.011341 }, { "step": 25, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.52, "F1": 0.3333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 0.00395 }, { "step": 50, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.56, "F1": 0.2142857142857142, "Memory in Mb": 0.0006465911865234, "Time in s": 0.0784219999999999 }, { "step": 75, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.5866666666666667, "F1": 0.3404255319148936, "Memory in Mb": 0.0006465911865234, "Time in s": 0.1562489999999999 }, { "step": 100, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6, "F1": 0.375, "Memory in Mb": 0.0006465911865234, "Time in s": 0.2373179999999999 }, { "step": 125, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.64, "F1": 0.4705882352941176, "Memory in Mb": 0.0006465911865234, "Time in s": 0.4181319999999999 }, { "step": 150, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.62, "F1": 0.4466019417475728, "Memory in Mb": 0.0006465911865234, "Time in s": 0.6021909999999999 }, { "step": 175, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6342857142857142, "F1": 0.4181818181818181, "Memory in Mb": 0.0006465911865234, "Time in s": 0.7890869999999999 }, { "step": 200, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.63, "F1": 0.4126984126984127, "Memory in Mb": 0.0006465911865234, "Time in s": 1.012096 }, { "step": 225, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6488888888888888, "F1": 0.4316546762589928, "Memory in Mb": 0.0006465911865234, "Time in s": 1.2378889999999998 }, { "step": 250, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.648, "F1": 0.4358974358974359, "Memory in Mb": 0.0006465911865234, "Time in s": 1.4692909999999997 }, { "step": 275, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6618181818181819, "F1": 0.4561403508771929, "Memory in Mb": 0.0006465911865234, "Time in s": 1.7531039999999996 }, { "step": 300, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6733333333333333, "F1": 0.4615384615384615, "Memory in Mb": 0.0006465911865234, "Time in s": 2.040874 }, { "step": 325, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.683076923076923, "F1": 0.4663212435233161, "Memory in Mb": 0.0006465911865234, "Time in s": 2.33165 }, { "step": 350, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.6942857142857143, "F1": 0.4780487804878048, "Memory in Mb": 0.0006465911865234, "Time in s": 2.715045 }, { "step": 375, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7013333333333334, "F1": 0.4909090909090909, "Memory in Mb": 0.0006465911865234, "Time in s": 3.101519 }, { "step": 400, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.705, "F1": 0.4913793103448276, "Memory in Mb": 0.0006465911865234, "Time in s": 3.491013 }, { "step": 425, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7105882352941176, "F1": 0.4896265560165975, "Memory in Mb": 0.0006465911865234, "Time in s": 3.92315 }, { "step": 450, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7222222222222222, "F1": 0.5098039215686275, "Memory in Mb": 0.0006465911865234, "Time in s": 4.358171 }, { "step": 475, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7157894736842105, "F1": 0.5054945054945055, "Memory in Mb": 0.0006465911865234, "Time in s": 4.796033 }, { "step": 500, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.718, "F1": 0.5252525252525252, "Memory in Mb": 0.0006465911865234, "Time in s": 5.248043999999999 }, { "step": 525, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7257142857142858, "F1": 0.5294117647058824, "Memory in Mb": 0.0006465911865234, "Time in s": 5.702586999999999 }, { "step": 550, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7218181818181818, "F1": 0.5233644859813085, "Memory in Mb": 0.0006465911865234, "Time in s": 6.159983 }, { "step": 575, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7217391304347827, "F1": 0.5209580838323353, "Memory in Mb": 0.0006465911865234, "Time in s": 6.620335 }, { "step": 600, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7283333333333334, "F1": 0.5275362318840581, "Memory in Mb": 0.0006465911865234, "Time in s": 7.113508 }, { "step": 625, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7376, "F1": 0.5340909090909091, "Memory in Mb": 0.0006465911865234, "Time in s": 7.613357 }, { "step": 650, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7369230769230769, "F1": 0.5415549597855228, "Memory in Mb": 0.0006465911865234, "Time in s": 8.116107 }, { "step": 675, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7333333333333333, "F1": 0.5477386934673367, "Memory in Mb": 0.0006465911865234, "Time in s": 8.713363 }, { "step": 700, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.74, "F1": 0.5560975609756097, "Memory in Mb": 0.0006465911865234, "Time in s": 9.313647 }, { "step": 725, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.743448275862069, "F1": 0.5753424657534246, "Memory in Mb": 0.0006465911865234, "Time in s": 9.917033 }, { "step": 750, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7453333333333333, "F1": 0.5820568927789934, "Memory in Mb": 0.0006465911865234, "Time in s": 10.613639 }, { "step": 775, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7470967741935484, "F1": 0.5847457627118644, "Memory in Mb": 0.0006465911865234, "Time in s": 11.313363 }, { "step": 800, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.74625, "F1": 0.5915492957746479, "Memory in Mb": 0.0006465911865234, "Time in s": 12.015877 }, { "step": 825, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7490909090909091, "F1": 0.602687140115163, "Memory in Mb": 0.0006465911865234, "Time in s": 12.766805 }, { "step": 850, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7541176470588236, "F1": 0.6122448979591837, "Memory in Mb": 0.0006465911865234, "Time in s": 13.520246 }, { "step": 875, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7554285714285714, "F1": 0.6123188405797102, "Memory in Mb": 0.0006465911865234, "Time in s": 14.2887 }, { "step": 900, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7566666666666667, "F1": 0.6123893805309735, "Memory in Mb": 0.0006465911865234, "Time in s": 15.059985 }, { "step": 925, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.76, "F1": 0.6237288135593221, "Memory in Mb": 0.0006465911865234, "Time in s": 15.877357000000002 }, { "step": 950, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7589473684210526, "F1": 0.6288492706645057, "Memory in Mb": 0.0006465911865234, "Time in s": 16.697524 }, { "step": 975, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7610256410256411, "F1": 0.631911532385466, "Memory in Mb": 0.0006465911865234, "Time in s": 17.562951 }, { "step": 1000, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.761, "F1": 0.6328725038402457, "Memory in Mb": 0.0006465911865234, "Time in s": 18.43148 }, { "step": 1025, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7609756097560976, "F1": 0.635958395245171, "Memory in Mb": 0.0006465911865234, "Time in s": 19.325245 }, { "step": 1050, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7638095238095238, "F1": 0.6436781609195402, "Memory in Mb": 0.0006465911865234, "Time in s": 20.222005 }, { "step": 1075, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7665116279069767, "F1": 0.651872399445215, "Memory in Mb": 0.0006465911865234, "Time in s": 21.121639 }, { "step": 1100, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.77, "F1": 0.6594885598923284, "Memory in Mb": 0.0006465911865234, "Time in s": 22.071389 }, { "step": 1125, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.768, "F1": 0.6597131681877444, "Memory in Mb": 0.0006465911865234, "Time in s": 23.024294 }, { "step": 1150, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7695652173913043, "F1": 0.6615581098339719, "Memory in Mb": 0.0006465911865234, "Time in s": 23.980116 }, { "step": 1175, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7702127659574468, "F1": 0.6633416458852868, "Memory in Mb": 0.0006465911865234, "Time in s": 24.939110000000003 }, { "step": 1200, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7741666666666667, "F1": 0.6691086691086692, "Memory in Mb": 0.0006465911865234, "Time in s": 25.901192 }, { "step": 1225, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7771428571428571, "F1": 0.6746126340882003, "Memory in Mb": 0.0006465911865234, "Time in s": 26.865956 }, { "step": 1250, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "Phishing", "Accuracy": 0.7736, "F1": 0.6697782963827306, "Memory in Mb": 0.0006465911865234, "Time in s": 27.833412 }, { "step": 1903, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 1.287853 }, { "step": 3806, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 3.780599 }, { "step": 5709, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 7.576109 }, { "step": 7612, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 12.534125 }, { "step": 9515, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 18.771881 }, { "step": 11418, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 26.322128 }, { "step": 13321, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 35.214625 }, { "step": 15224, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9992774566473988, "F1": 0.0, "Memory in Mb": 0.0006465911865234, "Time in s": 45.441498 }, { "step": 17127, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999299351900508, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 56.927386 }, { "step": 19030, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9993694167104572, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 69.74153799999999 }, { "step": 20933, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999426742464052, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 83.765543 }, { "step": 22836, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999474513925381, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 99.065492 }, { "step": 24739, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999514935931121, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 115.581943 }, { "step": 26642, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995120486449968, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 133.361343 }, { "step": 28545, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995445787353302, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 152.36548100000002 }, { "step": 30448, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999573042564372, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 172.57866 }, { "step": 32351, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995981577076444, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 193.969825 }, { "step": 34254, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996204822794418, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 216.600052 }, { "step": 36157, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996404568963132, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 240.511883 }, { "step": 38060, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996584340514976, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 265.709607 }, { "step": 39963, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996746990966644, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 292.142637 }, { "step": 41866, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996894855013616, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 319.878347 }, { "step": 43769, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999702986131737, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 348.79444399999994 }, { "step": 45672, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9997153617095814, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 378.9697039999999 }, { "step": 47575, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999726747241198, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 410.4053809999999 }, { "step": 49478, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9997372569626904, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 443.057614 }, { "step": 51381, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9997080632918784, "F1": 0.1176470588235294, "Memory in Mb": 0.0006465911865234, "Time in s": 477.025323 }, { "step": 53284, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9997184896028828, "F1": 0.1176470588235294, "Memory in Mb": 0.0006465911865234, "Time in s": 512.247669 }, { "step": 55187, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9997281968579556, "F1": 0.1176470588235294, "Memory in Mb": 0.0006465911865234, "Time in s": 548.612896 }, { "step": 57090, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995796111403048, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 586.233337 }, { "step": 58993, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995931720712626, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 625.057298 }, { "step": 60896, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996058854440356, "F1": 0.1428571428571428, "Memory in Mb": 0.0006465911865234, "Time in s": 665.0820319999999 }, { "step": 62799, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999585980668482, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 706.1803269999999 }, { "step": 64702, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995981577076444, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 748.3509649999999 }, { "step": 66605, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996096389159972, "F1": 0.1333333333333333, "Memory in Mb": 0.0006465911865234, "Time in s": 791.6670189999999 }, { "step": 68508, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9995912886086296, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 836.0877649999999 }, { "step": 70411, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996023348624504, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 881.7116259999999 }, { "step": 72314, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996127997344912, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 928.538605 }, { "step": 74217, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996227279464274, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 976.409207 }, { "step": 76120, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996321597477666, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1025.3623619999998 }, { "step": 78023, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996411314612358, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1075.4142359999998 }, { "step": 79926, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999649675950254, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1126.58116 }, { "step": 81829, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996578230211784, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1178.778759 }, { "step": 83732, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999665599770697, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1231.992839 }, { "step": 85635, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996730308869036, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1286.303482 }, { "step": 87538, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996801389111014, "F1": 0.125, "Memory in Mb": 0.0006465911865234, "Time in s": 1341.617815 }, { "step": 89441, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996757639114052, "F1": 0.1212121212121212, "Memory in Mb": 0.0006465911865234, "Time in s": 1397.839199 }, { "step": 91344, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996825188299177, "F1": 0.1212121212121212, "Memory in Mb": 0.0006465911865234, "Time in s": 1455.075933 }, { "step": 93247, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.9996889980374704, "F1": 0.1212121212121212, "Memory in Mb": 0.0006465911865234, "Time in s": 1513.261041 }, { "step": 95150, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999695218076721, "F1": 0.1212121212121212, "Memory in Mb": 0.0006465911865234, "Time in s": 1572.312523 }, { "step": 95156, "track": "Binary classification", "model": "Vowpal Wabbit logistic regression", "dataset": "SMTP", "Accuracy": 0.999695237294548, "F1": 0.1212121212121212, "Memory in Mb": 0.0006465911865234, "Time in s": 1631.370354 }, { "step": 106, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5333333333333333, "F1": 0.4615384615384615, "Memory in Mb": 0.0140247344970703, "Time in s": 0.089081 }, { "step": 212, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5592417061611374, "F1": 0.5026737967914437, "Memory in Mb": 0.0140247344970703, "Time in s": 0.244558 }, { "step": 318, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.555205047318612, "F1": 0.5154639175257733, "Memory in Mb": 0.0140247344970703, "Time in s": 0.453937 }, { "step": 424, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5626477541371159, "F1": 0.5066666666666667, "Memory in Mb": 0.0140247344970703, "Time in s": 0.76271 }, { "step": 530, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5689981096408318, "F1": 0.4818181818181818, "Memory in Mb": 0.0140247344970703, "Time in s": 1.109688 }, { "step": 636, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5716535433070866, "F1": 0.4645669291338582, "Memory in Mb": 0.0140247344970703, "Time in s": 1.619873 }, { "step": 742, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5870445344129555, "F1": 0.4555160142348755, "Memory in Mb": 0.0140247344970703, "Time in s": 2.197835 }, { "step": 848, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.5962219598583235, "F1": 0.4554140127388535, "Memory in Mb": 0.0140247344970703, "Time in s": 2.834188 }, { "step": 954, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6002098635886673, "F1": 0.4454148471615721, "Memory in Mb": 0.0140247344970703, "Time in s": 3.5547570000000004 }, { "step": 1060, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6090651558073654, "F1": 0.4405405405405405, "Memory in Mb": 0.0140247344970703, "Time in s": 4.339157 }, { "step": 1166, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6068669527896996, "F1": 0.4260651629072681, "Memory in Mb": 0.0140247344970703, "Time in s": 5.220598 }, { "step": 1272, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6136900078678206, "F1": 0.433679354094579, "Memory in Mb": 0.0140247344970703, "Time in s": 6.139897 }, { "step": 1378, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6143790849673203, "F1": 0.419672131147541, "Memory in Mb": 0.0140247344970703, "Time in s": 7.157157999999999 }, { "step": 1484, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6142953472690492, "F1": 0.4127310061601643, "Memory in Mb": 0.0140247344970703, "Time in s": 8.301379999999998 }, { "step": 1590, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6135934550031467, "F1": 0.4061895551257253, "Memory in Mb": 0.0140247344970703, "Time in s": 9.487101 }, { "step": 1696, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6141592920353982, "F1": 0.4010989010989011, "Memory in Mb": 0.0140247344970703, "Time in s": 10.730798 }, { "step": 1802, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.614658523042754, "F1": 0.4037800687285223, "Memory in Mb": 0.0140247344970703, "Time in s": 12.063669 }, { "step": 1908, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6151022548505506, "F1": 0.4080645161290322, "Memory in Mb": 0.0140247344970703, "Time in s": 13.448557 }, { "step": 2014, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6100347739692003, "F1": 0.4048521607278241, "Memory in Mb": 0.0140247344970703, "Time in s": 14.939018 }, { "step": 2120, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.608305804624823, "F1": 0.4071428571428571, "Memory in Mb": 0.0140247344970703, "Time in s": 16.439687 }, { "step": 2226, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6089887640449438, "F1": 0.4089673913043478, "Memory in Mb": 0.0140247344970703, "Time in s": 18.077419 }, { "step": 2332, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6096096096096096, "F1": 0.4098573281452659, "Memory in Mb": 0.0140247344970703, "Time in s": 19.752885 }, { "step": 2438, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6101764464505539, "F1": 0.4084682440846824, "Memory in Mb": 0.0140247344970703, "Time in s": 21.52049 }, { "step": 2544, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6114825009830909, "F1": 0.4153846153846153, "Memory in Mb": 0.0140247344970703, "Time in s": 23.348549 }, { "step": 2650, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6100415251038127, "F1": 0.41273450824332, "Memory in Mb": 0.0140247344970703, "Time in s": 25.279207 }, { "step": 2756, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6076225045372051, "F1": 0.4070213933077345, "Memory in Mb": 0.0140247344970703, "Time in s": 27.31295 }, { "step": 2862, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6085284865431667, "F1": 0.4092827004219409, "Memory in Mb": 0.0140247344970703, "Time in s": 29.37924 }, { "step": 2968, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6083586113919784, "F1": 0.4065372829417773, "Memory in Mb": 0.0140247344970703, "Time in s": 31.545651 }, { "step": 3074, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.60624796615685, "F1": 0.4062806673209028, "Memory in Mb": 0.0140247344970703, "Time in s": 33.733231 }, { "step": 3180, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6071091538219566, "F1": 0.4077761972498815, "Memory in Mb": 0.0140247344970703, "Time in s": 36.007059 }, { "step": 3286, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6063926940639269, "F1": 0.4049700874367234, "Memory in Mb": 0.0140247344970703, "Time in s": 38.312687 }, { "step": 3392, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6048363314656443, "F1": 0.4060283687943262, "Memory in Mb": 0.0140247344970703, "Time in s": 40.720334 }, { "step": 3498, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6065198741778668, "F1": 0.4053586862575626, "Memory in Mb": 0.0140247344970703, "Time in s": 43.213056 }, { "step": 3604, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6086594504579517, "F1": 0.4090528080469404, "Memory in Mb": 0.0140247344970703, "Time in s": 45.745916 }, { "step": 3710, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6085198166621731, "F1": 0.4078303425774878, "Memory in Mb": 0.0140247344970703, "Time in s": 48.41046399999999 }, { "step": 3816, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6070773263433814, "F1": 0.4049225883287018, "Memory in Mb": 0.0140247344970703, "Time in s": 51.18183799999999 }, { "step": 3922, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6067329762815609, "F1": 0.4027885360185902, "Memory in Mb": 0.0140247344970703, "Time in s": 54.01538599999999 }, { "step": 4028, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6088899925502855, "F1": 0.405436013590034, "Memory in Mb": 0.0140247344970703, "Time in s": 56.94241999999999 }, { "step": 4134, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6106944108395839, "F1": 0.4078027235921972, "Memory in Mb": 0.0140247344970703, "Time in s": 59.88324999999999 }, { "step": 4240, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.611936777541873, "F1": 0.4118698605648909, "Memory in Mb": 0.0140247344970703, "Time in s": 62.92792699999999 }, { "step": 4346, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6131185270425776, "F1": 0.4128536500174642, "Memory in Mb": 0.0140247344970703, "Time in s": 66.00451999999999 }, { "step": 4452, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6137946528869916, "F1": 0.413510747185261, "Memory in Mb": 0.0140247344970703, "Time in s": 69.16846599999998 }, { "step": 4558, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6122448979591837, "F1": 0.4115884115884116, "Memory in Mb": 0.0140247344970703, "Time in s": 72.34300699999999 }, { "step": 4664, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6126956894702981, "F1": 0.4124918672739102, "Memory in Mb": 0.0140247344970703, "Time in s": 75.66876099999999 }, { "step": 4770, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6143845669951772, "F1": 0.4130226619853175, "Memory in Mb": 0.0140247344970703, "Time in s": 79.08375899999999 }, { "step": 4876, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6153846153846154, "F1": 0.4131455399061033, "Memory in Mb": 0.0140247344970703, "Time in s": 82.54849799999998 }, { "step": 4982, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6163420999799237, "F1": 0.4168446750076289, "Memory in Mb": 0.0140247344970703, "Time in s": 86.09394899999998 }, { "step": 5088, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6150973068606251, "F1": 0.4141232794733692, "Memory in Mb": 0.0140247344970703, "Time in s": 89.70897599999998 }, { "step": 5194, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6146735990756788, "F1": 0.4133685136323659, "Memory in Mb": 0.0140247344970703, "Time in s": 93.40231399999998 }, { "step": 5300, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Bananas", "Accuracy": 0.6152104170598226, "F1": 0.4139120436907157, "Memory in Mb": 0.0140247344970703, "Time in s": 97.15397799999998 }, { "step": 906, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.8187845303867404, "F1": 0.8284518828451883, "Memory in Mb": 0.0510377883911132, "Time in s": 0.90253 }, { "step": 1812, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.8023191606847045, "F1": 0.7475317348377998, "Memory in Mb": 0.0510377883911132, "Time in s": 2.668728 }, { "step": 2718, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.784688995215311, "F1": 0.706177800100452, "Memory in Mb": 0.0510377883911132, "Time in s": 5.38565 }, { "step": 3624, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.8032017664918576, "F1": 0.7356321839080461, "Memory in Mb": 0.0510377883911132, "Time in s": 8.965856 }, { "step": 4530, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7979686465003312, "F1": 0.7073872721458268, "Memory in Mb": 0.0510377883911132, "Time in s": 13.460125 }, { "step": 5436, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7937442502299908, "F1": 0.6972724817715366, "Memory in Mb": 0.0510377883911132, "Time in s": 18.947959 }, { "step": 6342, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7982967986122063, "F1": 0.7065840789171829, "Memory in Mb": 0.0510377883911132, "Time in s": 25.368016 }, { "step": 7248, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.790396025941769, "F1": 0.6875128574367414, "Memory in Mb": 0.0510377883911132, "Time in s": 32.74734 }, { "step": 8154, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7841285416411137, "F1": 0.6888260254596887, "Memory in Mb": 0.0510377883911132, "Time in s": 41.092102 }, { "step": 9060, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7897118887294403, "F1": 0.7086710506193606, "Memory in Mb": 0.0510377883911132, "Time in s": 50.330249 }, { "step": 9966, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.793176116407426, "F1": 0.7240594457089301, "Memory in Mb": 0.0510377883911132, "Time in s": 60.487048 }, { "step": 10872, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7960629196946003, "F1": 0.7361656551231703, "Memory in Mb": 0.0510377883911132, "Time in s": 71.57583 }, { "step": 11778, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.792137216608644, "F1": 0.7295027624309391, "Memory in Mb": 0.0510377883911132, "Time in s": 83.57396899999999 }, { "step": 12684, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7820704880548766, "F1": 0.7260111022997621, "Memory in Mb": 0.0510377883911132, "Time in s": 96.505859 }, { "step": 13590, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7858562072264331, "F1": 0.7383564107174968, "Memory in Mb": 0.0510377883911132, "Time in s": 110.378561 }, { "step": 14496, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7866850638151086, "F1": 0.7435727317963178, "Memory in Mb": 0.0510377883911132, "Time in s": 125.162828 }, { "step": 15402, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.785728199467567, "F1": 0.738593155893536, "Memory in Mb": 0.0510377883911132, "Time in s": 140.864825 }, { "step": 16308, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7806463481940271, "F1": 0.7274666666666666, "Memory in Mb": 0.0510377883911132, "Time in s": 157.49451299999998 }, { "step": 17214, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7788880497298554, "F1": 0.7181158346911569, "Memory in Mb": 0.0510377883911132, "Time in s": 175.04662 }, { "step": 18120, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7728903361112645, "F1": 0.7138983522213725, "Memory in Mb": 0.0510377883911132, "Time in s": 193.534389 }, { "step": 19026, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7701445466491459, "F1": 0.7094931242941608, "Memory in Mb": 0.0510377883911132, "Time in s": 212.921569 }, { "step": 19932, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7628317696051378, "F1": 0.702236220472441, "Memory in Mb": 0.0510377883911132, "Time in s": 233.287368 }, { "step": 20838, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7537553390603254, "F1": 0.6903626817934946, "Memory in Mb": 0.0510377883911132, "Time in s": 254.638983 }, { "step": 21744, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7508163546888654, "F1": 0.6836389115964032, "Memory in Mb": 0.0510377883911132, "Time in s": 276.932282 }, { "step": 22650, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7509823833281822, "F1": 0.6798001589644601, "Memory in Mb": 0.0510377883911132, "Time in s": 300.189673 }, { "step": 23556, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7457015495648482, "F1": 0.668217569513681, "Memory in Mb": 0.0510377883911132, "Time in s": 324.33764 }, { "step": 24462, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7466170638976329, "F1": 0.665839982747466, "Memory in Mb": 0.0510377883911132, "Time in s": 349.45202499999994 }, { "step": 25368, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7447865336854969, "F1": 0.6611180904522613, "Memory in Mb": 0.0510377883911132, "Time in s": 375.51598899999993 }, { "step": 26274, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7448711605069843, "F1": 0.6581322996888865, "Memory in Mb": 0.0510377883911132, "Time in s": 402.576751 }, { "step": 27180, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.741123661650539, "F1": 0.650402464473815, "Memory in Mb": 0.0510377883911132, "Time in s": 430.58128099999993 }, { "step": 28086, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7390065871461634, "F1": 0.6440019426906265, "Memory in Mb": 0.0510377883911132, "Time in s": 459.5402439999999 }, { "step": 28992, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7358145631402849, "F1": 0.6343280019097637, "Memory in Mb": 0.0510377883911132, "Time in s": 489.4018749999999 }, { "step": 29898, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7320466936481921, "F1": 0.6243023964732918, "Memory in Mb": 0.0510377883911132, "Time in s": 520.249024 }, { "step": 30804, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7297990455475116, "F1": 0.6158319870759289, "Memory in Mb": 0.0510377883911132, "Time in s": 552.052505 }, { "step": 31710, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7256930209088902, "F1": 0.6059617649723658, "Memory in Mb": 0.0510377883911132, "Time in s": 584.838155 }, { "step": 32616, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7215391690939752, "F1": 0.596427301813011, "Memory in Mb": 0.0510377883911132, "Time in s": 618.5052350000001 }, { "step": 33522, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7176695205990274, "F1": 0.5867248908296943, "Memory in Mb": 0.0510377883911132, "Time in s": 653.1230730000001 }, { "step": 34428, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7142359194818021, "F1": 0.5779493779493778, "Memory in Mb": 0.0510377883911132, "Time in s": 688.6949970000001 }, { "step": 35334, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7138369229898395, "F1": 0.5724554949469323, "Memory in Mb": 0.0510377883911132, "Time in s": 725.19325 }, { "step": 36240, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7174866856149452, "F1": 0.5752924583091347, "Memory in Mb": 0.0510377883911132, "Time in s": 762.649856 }, { "step": 37146, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7169740207295733, "F1": 0.5716148486206756, "Memory in Mb": 0.0510377883911132, "Time in s": 801.028112 }, { "step": 38052, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7183516858952459, "F1": 0.573859795618116, "Memory in Mb": 0.0510377883911132, "Time in s": 840.263393 }, { "step": 38958, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7206407064198989, "F1": 0.5799529121154812, "Memory in Mb": 0.0510377883911132, "Time in s": 880.2889349999999 }, { "step": 39864, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7217720693374808, "F1": 0.5866964784795975, "Memory in Mb": 0.0510377883911132, "Time in s": 921.221106 }, { "step": 40770, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7228776766660944, "F1": 0.5923065819861432, "Memory in Mb": 0.0510377883911132, "Time in s": 962.947955 }, { "step": 41676, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.724127174565087, "F1": 0.5973170817134251, "Memory in Mb": 0.0510377883911132, "Time in s": 1005.542302 }, { "step": 42582, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7260280406754186, "F1": 0.6013259517462921, "Memory in Mb": 0.0510377883911132, "Time in s": 1049.006993 }, { "step": 43488, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7277117299422816, "F1": 0.6045222270465248, "Memory in Mb": 0.0510377883911132, "Time in s": 1093.33419 }, { "step": 44394, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7273894532921857, "F1": 0.6015933631814591, "Memory in Mb": 0.0510377883911132, "Time in s": 1138.520645 }, { "step": 45300, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7287136581381487, "F1": 0.6038234630387828, "Memory in Mb": 0.0510377883911132, "Time in s": 1184.586595 }, { "step": 45312, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Elec2", "Accuracy": 0.7287413652314008, "F1": 0.6037845330582509, "Memory in Mb": 0.0510377883911132, "Time in s": 1230.65543 }, { "step": 25, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.5833333333333334, "F1": 0.7058823529411764, "Memory in Mb": 0.057229995727539, "Time in s": 0.005899 }, { "step": 50, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.7346938775510204, "F1": 0.7636363636363637, "Memory in Mb": 0.057229995727539, "Time in s": 0.034194 }, { "step": 75, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.7837837837837838, "F1": 0.8048780487804877, "Memory in Mb": 0.057229995727539, "Time in s": 0.070237 }, { "step": 100, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8080808080808081, "F1": 0.819047619047619, "Memory in Mb": 0.057229995727539, "Time in s": 0.1191769999999999 }, { "step": 125, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8145161290322581, "F1": 0.8217054263565893, "Memory in Mb": 0.057229995727539, "Time in s": 0.172458 }, { "step": 150, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8187919463087249, "F1": 0.830188679245283, "Memory in Mb": 0.057229995727539, "Time in s": 0.294112 }, { "step": 175, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8333333333333334, "F1": 0.8323699421965318, "Memory in Mb": 0.057229995727539, "Time in s": 0.432822 }, { "step": 200, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8341708542713567, "F1": 0.83248730964467, "Memory in Mb": 0.057229995727539, "Time in s": 0.620751 }, { "step": 225, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8303571428571429, "F1": 0.8240740740740741, "Memory in Mb": 0.057229995727539, "Time in s": 0.8126760000000001 }, { "step": 250, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8313253012048193, "F1": 0.825, "Memory in Mb": 0.057229995727539, "Time in s": 1.097418 }, { "step": 275, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8321167883211679, "F1": 0.8244274809160306, "Memory in Mb": 0.057229995727539, "Time in s": 1.386748 }, { "step": 300, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8394648829431438, "F1": 0.8285714285714285, "Memory in Mb": 0.057229995727539, "Time in s": 1.708109 }, { "step": 325, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.845679012345679, "F1": 0.8299319727891157, "Memory in Mb": 0.057229995727539, "Time in s": 2.034368 }, { "step": 350, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8510028653295129, "F1": 0.8322580645161292, "Memory in Mb": 0.057229995727539, "Time in s": 2.472974 }, { "step": 375, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8529411764705882, "F1": 0.8318042813455658, "Memory in Mb": 0.057229995727539, "Time in s": 2.916035 }, { "step": 400, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8546365914786967, "F1": 0.8313953488372093, "Memory in Mb": 0.057229995727539, "Time in s": 3.458949 }, { "step": 425, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8561320754716981, "F1": 0.8291316526610645, "Memory in Mb": 0.057229995727539, "Time in s": 4.00711 }, { "step": 450, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8596881959910914, "F1": 0.8310991957104559, "Memory in Mb": 0.057229995727539, "Time in s": 4.560221 }, { "step": 475, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8565400843881856, "F1": 0.8291457286432161, "Memory in Mb": 0.057229995727539, "Time in s": 5.117465 }, { "step": 500, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8577154308617234, "F1": 0.8337236533957845, "Memory in Mb": 0.057229995727539, "Time in s": 5.6788810000000005 }, { "step": 525, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8587786259541985, "F1": 0.8310502283105022, "Memory in Mb": 0.057229995727539, "Time in s": 6.3168120000000005 }, { "step": 550, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8579234972677595, "F1": 0.8311688311688311, "Memory in Mb": 0.057229995727539, "Time in s": 6.9590250000000005 }, { "step": 575, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8606271777003485, "F1": 0.8340248962655602, "Memory in Mb": 0.057229995727539, "Time in s": 7.670201 }, { "step": 600, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8647746243739566, "F1": 0.8363636363636363, "Memory in Mb": 0.057229995727539, "Time in s": 8.386169 }, { "step": 625, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8669871794871795, "F1": 0.8356435643564357, "Memory in Mb": 0.057229995727539, "Time in s": 9.138945 }, { "step": 650, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8705701078582434, "F1": 0.8426966292134833, "Memory in Mb": 0.057229995727539, "Time in s": 9.901064000000002 }, { "step": 675, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.870919881305638, "F1": 0.8465608465608465, "Memory in Mb": 0.057229995727539, "Time in s": 10.713223 }, { "step": 700, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8755364806866953, "F1": 0.8502581755593803, "Memory in Mb": 0.057229995727539, "Time in s": 11.569231 }, { "step": 725, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8784530386740331, "F1": 0.8562091503267973, "Memory in Mb": 0.057229995727539, "Time in s": 12.458796 }, { "step": 750, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8798397863818425, "F1": 0.8584905660377359, "Memory in Mb": 0.057229995727539, "Time in s": 13.352328 }, { "step": 775, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8798449612403101, "F1": 0.8580152671755725, "Memory in Mb": 0.057229995727539, "Time in s": 14.337352 }, { "step": 800, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8798498122653317, "F1": 0.8596491228070174, "Memory in Mb": 0.057229995727539, "Time in s": 15.326948 }, { "step": 825, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8798543689320388, "F1": 0.860759493670886, "Memory in Mb": 0.057229995727539, "Time in s": 16.325159 }, { "step": 850, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8798586572438163, "F1": 0.8602739726027396, "Memory in Mb": 0.057229995727539, "Time in s": 17.375421 }, { "step": 875, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8832951945080092, "F1": 0.8636363636363635, "Memory in Mb": 0.057229995727539, "Time in s": 18.429913 }, { "step": 900, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8809788654060067, "F1": 0.8608582574772432, "Memory in Mb": 0.057229995727539, "Time in s": 19.528877 }, { "step": 925, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8820346320346321, "F1": 0.8635794743429286, "Memory in Mb": 0.057229995727539, "Time in s": 20.632714 }, { "step": 950, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8819810326659642, "F1": 0.8650602409638554, "Memory in Mb": 0.057229995727539, "Time in s": 21.817705 }, { "step": 975, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8829568788501027, "F1": 0.8661971830985915, "Memory in Mb": 0.057229995727539, "Time in s": 23.016963 }, { "step": 1000, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8808808808808809, "F1": 0.8643101482326111, "Memory in Mb": 0.057229995727539, "Time in s": 24.246233 }, { "step": 1025, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.880859375, "F1": 0.8647450110864746, "Memory in Mb": 0.057229995727539, "Time in s": 25.480751 }, { "step": 1050, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.882745471877979, "F1": 0.8673139158576052, "Memory in Mb": 0.057229995727539, "Time in s": 26.819711 }, { "step": 1075, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8817504655493482, "F1": 0.8672936259143157, "Memory in Mb": 0.057229995727539, "Time in s": 28.162914 }, { "step": 1100, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8835304822565969, "F1": 0.8693877551020409, "Memory in Mb": 0.057229995727539, "Time in s": 29.538844 }, { "step": 1125, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8861209964412812, "F1": 0.8735177865612648, "Memory in Mb": 0.057229995727539, "Time in s": 30.932979 }, { "step": 1150, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8859878154917319, "F1": 0.8731848983543079, "Memory in Mb": 0.057229995727539, "Time in s": 32.425237 }, { "step": 1175, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8850085178875639, "F1": 0.8717948717948718, "Memory in Mb": 0.057229995727539, "Time in s": 33.921729 }, { "step": 1200, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8865721434528774, "F1": 0.8731343283582089, "Memory in Mb": 0.057229995727539, "Time in s": 35.452877 }, { "step": 1225, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.886437908496732, "F1": 0.8728270814272644, "Memory in Mb": 0.057229995727539, "Time in s": 36.988201 }, { "step": 1250, "track": "Binary classification", "model": "Naive Bayes", "dataset": "Phishing", "Accuracy": 0.8847077662129704, "F1": 0.8714285714285714, "Memory in Mb": 0.057229995727539, "Time in s": 38.528021 }, { "step": 1903, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 1.286863 }, { "step": 3806, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 3.863138 }, { "step": 5709, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 7.731956 }, { "step": 7612, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 13.024672 }, { "step": 9515, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 19.659339000000003 }, { "step": 11418, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 27.654251 }, { "step": 13321, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0107755661010742, "Time in s": 36.976608 }, { "step": 15224, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9997372397030808, "F1": 0.7777777777777778, "Memory in Mb": 0.0201406478881835, "Time in s": 47.719054 }, { "step": 17127, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9997664369963798, "F1": 0.8181818181818181, "Memory in Mb": 0.0201406478881835, "Time in s": 59.951688 }, { "step": 19030, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9997897945241474, "F1": 0.8181818181818181, "Memory in Mb": 0.0201406478881835, "Time in s": 73.68853899999999 }, { "step": 20933, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998089050257978, "F1": 0.8181818181818181, "Memory in Mb": 0.0201406478881835, "Time in s": 88.86509 }, { "step": 22836, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998248303043572, "F1": 0.8181818181818181, "Memory in Mb": 0.0201406478881835, "Time in s": 105.535247 }, { "step": 24739, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.999838305441022, "F1": 0.8181818181818181, "Memory in Mb": 0.0201406478881835, "Time in s": 123.661746 }, { "step": 26642, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998498554859052, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 143.18039199999998 }, { "step": 28545, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.999859865470852, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 164.12799199999998 }, { "step": 30448, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998686241665844, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 186.627363 }, { "step": 32351, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998763523956724, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 210.517492 }, { "step": 34254, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998832219075702, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 235.832236 }, { "step": 36157, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998893682929528, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 262.657063 }, { "step": 38060, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998949000236474, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 290.942762 }, { "step": 39963, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998999049096642, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 320.716469 }, { "step": 41866, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.999904454795175, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 352.027934 }, { "step": 43769, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.999908609029428, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 384.764181 }, { "step": 45672, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9999124170699132, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 419.010574 }, { "step": 47575, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9999159204607558, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 454.738206 }, { "step": 49478, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9999191543545486, "F1": 0.8333333333333333, "Memory in Mb": 0.0201406478881835, "Time in s": 491.833824 }, { "step": 51381, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9999026858699884, "F1": 0.8275862068965517, "Memory in Mb": 0.0201406478881835, "Time in s": 530.367488 }, { "step": 53284, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9999061614398588, "F1": 0.8275862068965517, "Memory in Mb": 0.0201406478881835, "Time in s": 570.267553 }, { "step": 55187, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9998912767730946, "F1": 0.7999999999999999, "Memory in Mb": 0.0201406478881835, "Time in s": 611.572363 }, { "step": 57090, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9993869221741492, "F1": 0.4444444444444444, "Memory in Mb": 0.0201406478881835, "Time in s": 654.167087 }, { "step": 58993, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9988473013289938, "F1": 0.2916666666666666, "Memory in Mb": 0.0201406478881835, "Time in s": 698.17064 }, { "step": 60896, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9986369981115034, "F1": 0.2522522522522523, "Memory in Mb": 0.0201406478881835, "Time in s": 743.490298 }, { "step": 62799, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9979139463040224, "F1": 0.1761006289308176, "Memory in Mb": 0.0201406478881835, "Time in s": 790.115891 }, { "step": 64702, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9979443903494536, "F1": 0.1739130434782608, "Memory in Mb": 0.0201406478881835, "Time in s": 838.025404 }, { "step": 66605, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9977478830100296, "F1": 0.1573033707865168, "Memory in Mb": 0.0201406478881835, "Time in s": 887.160342 }, { "step": 68508, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9967302611411972, "F1": 0.125, "Memory in Mb": 0.0201406478881835, "Time in s": 937.511304 }, { "step": 70411, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9964777730436016, "F1": 0.1142857142857143, "Memory in Mb": 0.0201406478881835, "Time in s": 989.136144 }, { "step": 72314, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9964045192427364, "F1": 0.1095890410958904, "Memory in Mb": 0.0201406478881835, "Time in s": 1041.952402 }, { "step": 74217, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9958230031260106, "F1": 0.0935672514619883, "Memory in Mb": 0.0201406478881835, "Time in s": 1095.894331 }, { "step": 76120, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9956515456062218, "F1": 0.0881542699724517, "Memory in Mb": 0.0201406478881835, "Time in s": 1151.054816 }, { "step": 78023, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9951936633257288, "F1": 0.0786240786240786, "Memory in Mb": 0.0201406478881835, "Time in s": 1207.299045 }, { "step": 79926, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9946700031279324, "F1": 0.0698689956331877, "Memory in Mb": 0.0201406478881835, "Time in s": 1264.68116 }, { "step": 81829, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9945862052109302, "F1": 0.0673684210526315, "Memory in Mb": 0.0201406478881835, "Time in s": 1323.182614 }, { "step": 83732, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9945539883675102, "F1": 0.0655737704918032, "Memory in Mb": 0.0201406478881835, "Time in s": 1382.690018 }, { "step": 85635, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9939860335847912, "F1": 0.0585009140767824, "Memory in Mb": 0.0201406478881835, "Time in s": 1443.251394 }, { "step": 87538, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9938540274398254, "F1": 0.0561403508771929, "Memory in Mb": 0.0201406478881835, "Time in s": 1504.7859910000002 }, { "step": 89441, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9938618067978532, "F1": 0.0550774526678141, "Memory in Mb": 0.0201406478881835, "Time in s": 1567.3680330000002 }, { "step": 91344, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.9939677917300724, "F1": 0.0548885077186964, "Memory in Mb": 0.0201406478881835, "Time in s": 1630.9013820000002 }, { "step": 93247, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.993543958990198, "F1": 0.0504731861198738, "Memory in Mb": 0.0201406478881835, "Time in s": 1695.428307 }, { "step": 95150, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.993483904192372, "F1": 0.0490797546012269, "Memory in Mb": 0.0201406478881835, "Time in s": 1760.949483 }, { "step": 95156, "track": "Binary classification", "model": "Naive Bayes", "dataset": "SMTP", "Accuracy": 0.993484315064894, "F1": 0.0490797546012269, "Memory in Mb": 0.0201406478881835, "Time in s": 1826.472109 }, { "step": 106, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.4952380952380952, "F1": 0.208955223880597, "Memory in Mb": 0.0192251205444335, "Time in s": 0.143993 }, { "step": 212, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5213270142180095, "F1": 0.3129251700680272, "Memory in Mb": 0.0192480087280273, "Time in s": 0.331364 }, { "step": 318, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5299684542586751, "F1": 0.4063745019920318, "Memory in Mb": 0.0192480087280273, "Time in s": 0.6339969999999999 }, { "step": 424, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5437352245862884, "F1": 0.4238805970149253, "Memory in Mb": 0.0192480087280273, "Time in s": 1.026482 }, { "step": 530, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.553875236294896, "F1": 0.4099999999999999, "Memory in Mb": 0.0192480087280273, "Time in s": 1.502748 }, { "step": 636, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5590551181102362, "F1": 0.4017094017094017, "Memory in Mb": 0.0192480087280273, "Time in s": 2.038539 }, { "step": 742, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5762483130904184, "F1": 0.3984674329501916, "Memory in Mb": 0.0192480087280273, "Time in s": 2.585217 }, { "step": 848, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5867768595041323, "F1": 0.4047619047619047, "Memory in Mb": 0.0192480087280273, "Time in s": 3.2443470000000003 }, { "step": 954, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.5918153200419727, "F1": 0.3987635239567234, "Memory in Mb": 0.0192480087280273, "Time in s": 4.029044000000001 }, { "step": 1060, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6015108593012276, "F1": 0.3971428571428571, "Memory in Mb": 0.0192480087280273, "Time in s": 4.857172 }, { "step": 1166, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6, "F1": 0.3852242744063324, "Memory in Mb": 0.0192480087280273, "Time in s": 5.757943 }, { "step": 1272, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6073957513768686, "F1": 0.3966142684401451, "Memory in Mb": 0.0192480087280273, "Time in s": 6.7312840000000005 }, { "step": 1378, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6085693536673928, "F1": 0.384, "Memory in Mb": 0.0192480087280273, "Time in s": 7.793338 }, { "step": 1484, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6089008766014835, "F1": 0.3790149892933619, "Memory in Mb": 0.0192480087280273, "Time in s": 8.86628 }, { "step": 1590, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6085588420390182, "F1": 0.3742454728370221, "Memory in Mb": 0.0192480087280273, "Time in s": 10.05345 }, { "step": 1696, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6094395280235988, "F1": 0.370722433460076, "Memory in Mb": 0.0192480087280273, "Time in s": 11.283728 }, { "step": 1802, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6102165463631316, "F1": 0.3754448398576512, "Memory in Mb": 0.0192480087280273, "Time in s": 12.570083 }, { "step": 1908, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.610907184058731, "F1": 0.3816666666666667, "Memory in Mb": 0.0192480087280273, "Time in s": 13.875162 }, { "step": 2014, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6060606060606061, "F1": 0.3799843627834245, "Memory in Mb": 0.0192480087280273, "Time in s": 15.24589 }, { "step": 2120, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6045304388862671, "F1": 0.3838235294117647, "Memory in Mb": 0.0192480087280273, "Time in s": 16.723857 }, { "step": 2226, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6053932584269663, "F1": 0.3868715083798882, "Memory in Mb": 0.0192480087280273, "Time in s": 18.213202 }, { "step": 2332, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6061776061776062, "F1": 0.388814913448735, "Memory in Mb": 0.0192480087280273, "Time in s": 19.838043 }, { "step": 2438, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.606893721789085, "F1": 0.388250319284802, "Memory in Mb": 0.0192480087280273, "Time in s": 21.528239 }, { "step": 2544, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.608336610302792, "F1": 0.3963636363636363, "Memory in Mb": 0.0192480087280273, "Time in s": 23.295102 }, { "step": 2650, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6070215175537939, "F1": 0.3944153577661431, "Memory in Mb": 0.0192480087280273, "Time in s": 25.108421 }, { "step": 2756, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6047186932849364, "F1": 0.3892316320807628, "Memory in Mb": 0.0192480087280273, "Time in s": 26.99552 }, { "step": 2862, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6057322614470465, "F1": 0.3922413793103448, "Memory in Mb": 0.0192480087280273, "Time in s": 28.904989 }, { "step": 2968, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6056622851365016, "F1": 0.3899895724713243, "Memory in Mb": 0.0192480087280273, "Time in s": 30.87684 }, { "step": 3074, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6036446469248291, "F1": 0.3903903903903904, "Memory in Mb": 0.0192480087280273, "Time in s": 32.946938 }, { "step": 3180, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6045926391947153, "F1": 0.3924601256645723, "Memory in Mb": 0.0192480087280273, "Time in s": 35.112766 }, { "step": 3286, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6039573820395738, "F1": 0.3900609470229723, "Memory in Mb": 0.0192480087280273, "Time in s": 37.308874 }, { "step": 3392, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6024771453848422, "F1": 0.391696750902527, "Memory in Mb": 0.0192480087280273, "Time in s": 39.588614 }, { "step": 3498, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6030883614526737, "F1": 0.3933566433566433, "Memory in Mb": 0.0348339080810546, "Time in s": 41.900558 }, { "step": 3604, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6069941715237303, "F1": 0.4035383319292334, "Memory in Mb": 0.0348339080810546, "Time in s": 44.30438 }, { "step": 3710, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6079805877595039, "F1": 0.4079804560260586, "Memory in Mb": 0.0348339080810546, "Time in s": 46.776579 }, { "step": 3816, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6107470511140236, "F1": 0.4146629877808436, "Memory in Mb": 0.0348339080810546, "Time in s": 49.299973 }, { "step": 3922, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6123437898495282, "F1": 0.4180704441041348, "Memory in Mb": 0.0440921783447265, "Time in s": 51.9923 }, { "step": 4028, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6143531164638689, "F1": 0.4246017043349389, "Memory in Mb": 0.0502567291259765, "Time in s": 54.748055 }, { "step": 4134, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.617227195741592, "F1": 0.4321608040201005, "Memory in Mb": 0.0502567291259765, "Time in s": 57.554127 }, { "step": 4240, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6218447747110167, "F1": 0.4439819632327437, "Memory in Mb": 0.0502567291259765, "Time in s": 60.441345 }, { "step": 4346, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6239355581127733, "F1": 0.4513096037609133, "Memory in Mb": 0.0502567291259765, "Time in s": 63.387968 }, { "step": 4452, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6259267580319029, "F1": 0.4567699836867862, "Memory in Mb": 0.0502567291259765, "Time in s": 66.368103 }, { "step": 4558, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6276058810621022, "F1": 0.4638230647709321, "Memory in Mb": 0.0502567291259765, "Time in s": 69.45485500000001 }, { "step": 4664, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6283508470941453, "F1": 0.4695439240893787, "Memory in Mb": 0.0502567291259765, "Time in s": 72.676145 }, { "step": 4770, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6288530090165653, "F1": 0.471641791044776, "Memory in Mb": 0.0594196319580078, "Time in s": 75.94439200000001 }, { "step": 4876, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6311794871794871, "F1": 0.475801749271137, "Memory in Mb": 0.0594654083251953, "Time in s": 79.31100500000001 }, { "step": 4982, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6336077092953222, "F1": 0.484026010743568, "Memory in Mb": 0.0594654083251953, "Time in s": 82.69585900000001 }, { "step": 5088, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6361313151169649, "F1": 0.4905037159372419, "Memory in Mb": 0.0594654083251953, "Time in s": 86.19871000000002 }, { "step": 5194, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6383593298671288, "F1": 0.495703544575725, "Memory in Mb": 0.0594654083251953, "Time in s": 89.82165300000003 }, { "step": 5300, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Bananas", "Accuracy": 0.6421966408756369, "F1": 0.5034049240440022, "Memory in Mb": 0.0594654083251953, "Time in s": 93.53024900000004 }, { "step": 906, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8530386740331491, "F1": 0.8513966480446927, "Memory in Mb": 0.1757516860961914, "Time in s": 1.081486 }, { "step": 1812, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8663721700717836, "F1": 0.8393094289508632, "Memory in Mb": 0.2084512710571289, "Time in s": 3.208731 }, { "step": 2718, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8365844681634156, "F1": 0.809278350515464, "Memory in Mb": 0.2330217361450195, "Time in s": 6.394793 }, { "step": 3624, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8459839911675407, "F1": 0.8210391276459269, "Memory in Mb": 0.2330217361450195, "Time in s": 10.694791 }, { "step": 4530, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8511812762199161, "F1": 0.8157463094587206, "Memory in Mb": 0.2329683303833007, "Time in s": 16.02834 }, { "step": 5436, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8404783808647655, "F1": 0.8020095912308747, "Memory in Mb": 0.2329683303833007, "Time in s": 22.571918 }, { "step": 6342, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8334647531935025, "F1": 0.7966884867154409, "Memory in Mb": 0.2329683303833007, "Time in s": 30.238204 }, { "step": 7248, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8330343590451221, "F1": 0.7912353347135956, "Memory in Mb": 0.2329683303833007, "Time in s": 38.961308 }, { "step": 8154, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8344167790997179, "F1": 0.8013537374926426, "Memory in Mb": 0.2329683303833007, "Time in s": 48.732242 }, { "step": 9060, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8403797328623468, "F1": 0.8129849974133472, "Memory in Mb": 0.2980508804321289, "Time in s": 59.636444 }, { "step": 9966, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8398394380331159, "F1": 0.8171402383134739, "Memory in Mb": 0.2981653213500976, "Time in s": 71.55266999999999 }, { "step": 10872, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.840493054916751, "F1": 0.8200124558854057, "Memory in Mb": 0.2981653213500976, "Time in s": 84.613385 }, { "step": 11778, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8404517279442982, "F1": 0.8184014690248381, "Memory in Mb": 0.3811311721801758, "Time in s": 98.771271 }, { "step": 12684, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8397066939998423, "F1": 0.8184983483617534, "Memory in Mb": 0.3811311721801758, "Time in s": 114.088656 }, { "step": 13590, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8422253293104717, "F1": 0.8228684732319893, "Memory in Mb": 0.3811311721801758, "Time in s": 130.484857 }, { "step": 14496, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8440841669541221, "F1": 0.8259128023417038, "Memory in Mb": 0.3823747634887695, "Time in s": 148.034702 }, { "step": 15402, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8445555483410169, "F1": 0.8246153846153847, "Memory in Mb": 0.3824014663696289, "Time in s": 166.630313 }, { "step": 16308, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8382903047770895, "F1": 0.8146221441124781, "Memory in Mb": 0.4081621170043945, "Time in s": 186.33286 }, { "step": 17214, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8345436588624876, "F1": 0.8052516411378555, "Memory in Mb": 0.4081621170043945, "Time in s": 207.149801 }, { "step": 18120, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8332689442022186, "F1": 0.8030253635000325, "Memory in Mb": 0.408848762512207, "Time in s": 229.10312700000003 }, { "step": 19026, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8340604467805519, "F1": 0.8008327550312283, "Memory in Mb": 0.4101419448852539, "Time in s": 252.195562 }, { "step": 19932, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8288595655009784, "F1": 0.7951228302000121, "Memory in Mb": 0.4740419387817383, "Time in s": 276.349221 }, { "step": 20838, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8238230071507414, "F1": 0.787570163763671, "Memory in Mb": 0.4986543655395508, "Time in s": 301.796373 }, { "step": 21744, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8251391252357081, "F1": 0.7858028169014086, "Memory in Mb": 0.498814582824707, "Time in s": 328.42960500000004 }, { "step": 22650, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8245838668373879, "F1": 0.7828843106180666, "Memory in Mb": 0.4754457473754883, "Time in s": 356.18046400000003 }, { "step": 23556, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.81761834005519, "F1": 0.7712703652433182, "Memory in Mb": 0.5000581741333008, "Time in s": 385.033694 }, { "step": 24462, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8151342954090184, "F1": 0.7656509121061359, "Memory in Mb": 0.5002222061157227, "Time in s": 415.059878 }, { "step": 25368, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8133401663578665, "F1": 0.7649540828989824, "Memory in Mb": 0.5574884414672852, "Time in s": 446.384667 }, { "step": 26274, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8142199215925094, "F1": 0.7659329592864336, "Memory in Mb": 0.5574884414672852, "Time in s": 478.875266 }, { "step": 27180, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8130909893667906, "F1": 0.7650758416574177, "Memory in Mb": 0.5574884414672852, "Time in s": 512.642228 }, { "step": 28086, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.810646252447926, "F1": 0.7611605137878379, "Memory in Mb": 0.5575571060180664, "Time in s": 547.6069200000001 }, { "step": 28992, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8084233037839329, "F1": 0.755846667838931, "Memory in Mb": 0.5575571060180664, "Time in s": 583.7938770000001 }, { "step": 29898, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8039602635715958, "F1": 0.7488322262695523, "Memory in Mb": 0.5575571060180664, "Time in s": 621.109455 }, { "step": 30804, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8052787066194851, "F1": 0.7498540328634582, "Memory in Mb": 0.6720895767211914, "Time in s": 659.6567610000001 }, { "step": 31710, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.802863540319783, "F1": 0.7460285215130216, "Memory in Mb": 0.6720895767211914, "Time in s": 699.5069490000001 }, { "step": 32616, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8010731258623333, "F1": 0.7451889089623752, "Memory in Mb": 0.6838197708129883, "Time in s": 740.492735 }, { "step": 33522, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.8010500880045345, "F1": 0.7469934367768125, "Memory in Mb": 0.7644319534301758, "Time in s": 782.6537000000001 }, { "step": 34428, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.799663055160194, "F1": 0.7444893120438633, "Memory in Mb": 0.7656755447387695, "Time in s": 825.979857 }, { "step": 35334, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7997056576005434, "F1": 0.7438746335637508, "Memory in Mb": 0.796971321105957, "Time in s": 870.4262610000001 }, { "step": 36240, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.798283617097602, "F1": 0.7418420680887131, "Memory in Mb": 0.8215837478637695, "Time in s": 916.052417 }, { "step": 37146, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7980347287656482, "F1": 0.741577678263865, "Memory in Mb": 0.8528566360473633, "Time in s": 962.729846 }, { "step": 38052, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7942761031247536, "F1": 0.7384913476314559, "Memory in Mb": 0.8296480178833008, "Time in s": 1010.431184 }, { "step": 38958, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.791975768154632, "F1": 0.7385131646876614, "Memory in Mb": 0.8296480178833008, "Time in s": 1059.228611 }, { "step": 39864, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7917617841105787, "F1": 0.7414904549842734, "Memory in Mb": 0.8308916091918945, "Time in s": 1109.092208 }, { "step": 40770, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7937158134857367, "F1": 0.7465187775031646, "Memory in Mb": 0.8308916091918945, "Time in s": 1159.935967 }, { "step": 41676, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7945770845830834, "F1": 0.749744219357479, "Memory in Mb": 0.8553438186645508, "Time in s": 1211.819823 }, { "step": 42582, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7952373124163359, "F1": 0.7509355271802782, "Memory in Mb": 0.8799333572387695, "Time in s": 1264.739744 }, { "step": 43488, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7953871271874353, "F1": 0.7515912897822445, "Memory in Mb": 0.881199836730957, "Time in s": 1318.691004 }, { "step": 44394, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7949676750839096, "F1": 0.7499038303016982, "Memory in Mb": 0.881199836730957, "Time in s": 1373.745004 }, { "step": 45300, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7956246274752202, "F1": 0.7508745492707605, "Memory in Mb": 0.9384660720825196, "Time in s": 1429.8385990000002 }, { "step": 45312, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Elec2", "Accuracy": 0.7956346141113637, "F1": 0.7508341405661393, "Memory in Mb": 0.9384660720825196, "Time in s": 1485.976427 }, { "step": 25, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.5833333333333334, "F1": 0.6428571428571429, "Memory in Mb": 0.0684270858764648, "Time in s": 0.007366 }, { "step": 50, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.7346938775510204, "F1": 0.7346938775510203, "Memory in Mb": 0.0684270858764648, "Time in s": 0.021904 }, { "step": 75, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.7837837837837838, "F1": 0.7894736842105262, "Memory in Mb": 0.0684270858764648, "Time in s": 0.108104 }, { "step": 100, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8080808080808081, "F1": 0.8080808080808081, "Memory in Mb": 0.0684270858764648, "Time in s": 0.262464 }, { "step": 125, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8145161290322581, "F1": 0.8130081300813008, "Memory in Mb": 0.0684270858764648, "Time in s": 0.426996 }, { "step": 150, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8187919463087249, "F1": 0.8235294117647058, "Memory in Mb": 0.0684270858764648, "Time in s": 0.670297 }, { "step": 175, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8333333333333334, "F1": 0.8263473053892215, "Memory in Mb": 0.0684270858764648, "Time in s": 0.944361 }, { "step": 200, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8341708542713567, "F1": 0.8272251308900525, "Memory in Mb": 0.0684499740600586, "Time in s": 1.225091 }, { "step": 225, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8303571428571429, "F1": 0.8190476190476189, "Memory in Mb": 0.0684499740600586, "Time in s": 1.620606 }, { "step": 250, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8313253012048193, "F1": 0.8205128205128206, "Memory in Mb": 0.0684499740600586, "Time in s": 2.072395 }, { "step": 275, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8321167883211679, "F1": 0.8203125000000001, "Memory in Mb": 0.0684499740600586, "Time in s": 2.536963 }, { "step": 300, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8394648829431438, "F1": 0.8248175182481753, "Memory in Mb": 0.0684499740600586, "Time in s": 3.035956 }, { "step": 325, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.845679012345679, "F1": 0.8263888888888888, "Memory in Mb": 0.0684499740600586, "Time in s": 3.5418380000000003 }, { "step": 350, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8510028653295129, "F1": 0.8289473684210527, "Memory in Mb": 0.0684499740600586, "Time in s": 4.130076000000001 }, { "step": 375, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8529411764705882, "F1": 0.8286604361370716, "Memory in Mb": 0.0684499740600586, "Time in s": 4.770647 }, { "step": 400, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8546365914786967, "F1": 0.8284023668639053, "Memory in Mb": 0.0684499740600586, "Time in s": 5.418701 }, { "step": 425, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8561320754716981, "F1": 0.8262108262108262, "Memory in Mb": 0.0684499740600586, "Time in s": 6.103302 }, { "step": 450, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8596881959910914, "F1": 0.8283378746594006, "Memory in Mb": 0.0684499740600586, "Time in s": 6.878701 }, { "step": 475, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8565400843881856, "F1": 0.826530612244898, "Memory in Mb": 0.0684499740600586, "Time in s": 7.659851000000001 }, { "step": 500, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8577154308617234, "F1": 0.8313539192399049, "Memory in Mb": 0.0684499740600586, "Time in s": 8.471725000000001 }, { "step": 525, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8587786259541985, "F1": 0.8287037037037036, "Memory in Mb": 0.0684499740600586, "Time in s": 9.290161 }, { "step": 550, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8579234972677595, "F1": 0.8289473684210527, "Memory in Mb": 0.0684499740600586, "Time in s": 10.200081 }, { "step": 575, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8606271777003485, "F1": 0.8319327731092437, "Memory in Mb": 0.0684499740600586, "Time in s": 11.144835 }, { "step": 600, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8647746243739566, "F1": 0.834355828220859, "Memory in Mb": 0.0684499740600586, "Time in s": 12.149797 }, { "step": 625, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8669871794871795, "F1": 0.8336673346693387, "Memory in Mb": 0.0684499740600586, "Time in s": 13.191129 }, { "step": 650, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8705701078582434, "F1": 0.8409090909090909, "Memory in Mb": 0.0684499740600586, "Time in s": 14.297317 }, { "step": 675, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.870919881305638, "F1": 0.8449197860962566, "Memory in Mb": 0.0684499740600586, "Time in s": 15.408972 }, { "step": 700, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8755364806866953, "F1": 0.8486956521739131, "Memory in Mb": 0.0684499740600586, "Time in s": 16.598807 }, { "step": 725, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8784530386740331, "F1": 0.8547854785478548, "Memory in Mb": 0.0684499740600586, "Time in s": 17.82593 }, { "step": 750, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8798397863818425, "F1": 0.8571428571428571, "Memory in Mb": 0.0684499740600586, "Time in s": 19.123649 }, { "step": 775, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8798449612403101, "F1": 0.8567026194144837, "Memory in Mb": 0.0684499740600586, "Time in s": 20.439518 }, { "step": 800, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8798498122653317, "F1": 0.8584070796460177, "Memory in Mb": 0.0060701370239257, "Time in s": 21.870793 }, { "step": 825, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8786407766990292, "F1": 0.8575498575498576, "Memory in Mb": 0.1326732635498047, "Time in s": 23.308925 }, { "step": 850, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8798586572438163, "F1": 0.8579387186629527, "Memory in Mb": 0.1326961517333984, "Time in s": 24.793982 }, { "step": 875, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8810068649885584, "F1": 0.8583106267029972, "Memory in Mb": 0.1326961517333984, "Time in s": 26.327422 }, { "step": 900, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.882091212458287, "F1": 0.8590425531914893, "Memory in Mb": 0.1327190399169922, "Time in s": 27.867454 }, { "step": 925, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8831168831168831, "F1": 0.8611825192802056, "Memory in Mb": 0.1327190399169922, "Time in s": 29.49699 }, { "step": 950, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.880927291886196, "F1": 0.8599752168525404, "Memory in Mb": 0.1327190399169922, "Time in s": 31.132602 }, { "step": 975, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8819301848049281, "F1": 0.8609431680773881, "Memory in Mb": 0.1327190399169922, "Time in s": 32.858381 }, { "step": 1000, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8828828828828829, "F1": 0.8621908127208481, "Memory in Mb": 0.1327190399169922, "Time in s": 34.600804000000004 }, { "step": 1025, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8818359375, "F1": 0.8613974799541809, "Memory in Mb": 0.1327190399169922, "Time in s": 36.37479200000001 }, { "step": 1050, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8836987607244995, "F1": 0.8641425389755011, "Memory in Mb": 0.1327190399169922, "Time in s": 38.236126000000006 }, { "step": 1075, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8845437616387337, "F1": 0.8658008658008659, "Memory in Mb": 0.1327190399169922, "Time in s": 40.114172 }, { "step": 1100, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8844404003639672, "F1": 0.8656084656084656, "Memory in Mb": 0.1327190399169922, "Time in s": 41.998405000000005 }, { "step": 1125, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8816725978647687, "F1": 0.8630278063851698, "Memory in Mb": 0.1327190399169922, "Time in s": 43.96255500000001 }, { "step": 1150, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8807658833768495, "F1": 0.8614762386248735, "Memory in Mb": 0.1327190399169922, "Time in s": 45.93298000000001 }, { "step": 1175, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.879045996592845, "F1": 0.8594059405940594, "Memory in Mb": 0.1327190399169922, "Time in s": 47.92952100000001 }, { "step": 1200, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8807339449541285, "F1": 0.8610301263362489, "Memory in Mb": 0.1327190399169922, "Time in s": 50.02063300000001 }, { "step": 1225, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.880718954248366, "F1": 0.8609523809523809, "Memory in Mb": 0.1327190399169922, "Time in s": 52.11693600000001 }, { "step": 1250, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "Phishing", "Accuracy": 0.8799039231385108, "F1": 0.8605947955390334, "Memory in Mb": 0.1327190399169922, "Time in s": 54.27575100000001 }, { "step": 1903, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 1.086226 }, { "step": 3806, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 3.167363 }, { "step": 5709, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 6.335451 }, { "step": 7612, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 10.587829 }, { "step": 9515, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 15.968691 }, { "step": 11418, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 22.515101 }, { "step": 13321, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0170211791992187, "Time in s": 30.177580000000003 }, { "step": 15224, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.0262222290039062, "Time in s": 38.907943 }, { "step": 17127, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 48.927066 }, { "step": 19030, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 60.172540000000005 }, { "step": 20933, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 72.66801500000001 }, { "step": 22836, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 86.48422800000002 }, { "step": 24739, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 101.518721 }, { "step": 26642, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 117.73184500000002 }, { "step": 28545, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 135.114956 }, { "step": 30448, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 153.67141 }, { "step": 32351, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 173.49434000000002 }, { "step": 34254, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 194.59387200000003 }, { "step": 36157, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 216.90021000000004 }, { "step": 38060, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 240.42103000000003 }, { "step": 39963, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 265.208452 }, { "step": 41866, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 291.209442 }, { "step": 43769, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 318.43843100000004 }, { "step": 45672, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 346.89099000000004 }, { "step": 47575, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 376.5294080000001 }, { "step": 49478, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 407.49804200000005 }, { "step": 51381, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 439.6062170000001 }, { "step": 53284, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 472.95335100000005 }, { "step": 55187, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 507.474024 }, { "step": 57090, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 543.2100710000001 }, { "step": 58993, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 580.098547 }, { "step": 60896, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 618.1800870000001 }, { "step": 62799, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 657.2504170000001 }, { "step": 64702, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 697.447209 }, { "step": 66605, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 738.7766780000001 }, { "step": 68508, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 781.207926 }, { "step": 70411, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 824.7260210000001 }, { "step": 72314, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 869.3947840000001 }, { "step": 74217, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 915.176721 }, { "step": 76120, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 961.985028 }, { "step": 78023, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1009.890756 }, { "step": 79926, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1058.848202 }, { "step": 81829, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1108.7919539999998 }, { "step": 83732, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1159.7893379999998 }, { "step": 85635, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1211.840415 }, { "step": 87538, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1264.8087919999998 }, { "step": 89441, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1318.8158339999998 }, { "step": 91344, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1373.8298589999995 }, { "step": 93247, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1429.7685149999998 }, { "step": 95150, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1486.6476859999998 }, { "step": 95156, "track": "Binary classification", "model": "Hoeffding Tree", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.0170440673828125, "Time in s": 1543.5553739999998 }, { "step": 106, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5714285714285714, "F1": 0.628099173553719, "Memory in Mb": 0.0256843566894531, "Time in s": 0.216494 }, { "step": 212, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5592417061611374, "F1": 0.5903083700440529, "Memory in Mb": 0.0257682800292968, "Time in s": 0.463954 }, { "step": 318, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5615141955835962, "F1": 0.5947521865889213, "Memory in Mb": 0.0258293151855468, "Time in s": 0.862573 }, { "step": 424, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5555555555555556, "F1": 0.5822222222222222, "Memory in Mb": 0.0258293151855468, "Time in s": 1.389833 }, { "step": 530, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.555765595463138, "F1": 0.5506692160611854, "Memory in Mb": 0.0258293151855468, "Time in s": 1.964112 }, { "step": 636, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5543307086614173, "F1": 0.5291181364392679, "Memory in Mb": 0.0258903503417968, "Time in s": 2.693957 }, { "step": 742, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5708502024291497, "F1": 0.5167173252279634, "Memory in Mb": 0.0258903503417968, "Time in s": 3.480128 }, { "step": 848, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5761511216056671, "F1": 0.510231923601637, "Memory in Mb": 0.0258903503417968, "Time in s": 4.453125999999999 }, { "step": 954, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5844700944386149, "F1": 0.505, "Memory in Mb": 0.0258903503417968, "Time in s": 5.580188 }, { "step": 1060, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5920679886685553, "F1": 0.4953271028037382, "Memory in Mb": 0.0258903503417968, "Time in s": 6.755147 }, { "step": 1166, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.590557939914163, "F1": 0.478688524590164, "Memory in Mb": 0.0258903503417968, "Time in s": 8.08575 }, { "step": 1272, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5971675845790716, "F1": 0.4807302231237322, "Memory in Mb": 0.0258903503417968, "Time in s": 9.558451000000002 }, { "step": 1378, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.599128540305011, "F1": 0.4661508704061895, "Memory in Mb": 0.0259513854980468, "Time in s": 11.087295 }, { "step": 1484, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5994605529332434, "F1": 0.458029197080292, "Memory in Mb": 0.0259513854980468, "Time in s": 12.740385000000002 }, { "step": 1590, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5997482693517936, "F1": 0.4517241379310345, "Memory in Mb": 0.0259513854980468, "Time in s": 14.490633000000004 }, { "step": 1696, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6011799410029498, "F1": 0.4459016393442623, "Memory in Mb": 0.0259513854980468, "Time in s": 16.383274000000004 }, { "step": 1802, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6018878400888396, "F1": 0.445475638051044, "Memory in Mb": 0.0259513854980468, "Time in s": 18.381747000000004 }, { "step": 1908, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6030414263240692, "F1": 0.4470416362308254, "Memory in Mb": 0.0259513854980468, "Time in s": 20.420329 }, { "step": 2014, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5986090412319921, "F1": 0.443526170798898, "Memory in Mb": 0.0259513854980468, "Time in s": 22.615668000000003 }, { "step": 2120, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5960358659745163, "F1": 0.4427083333333333, "Memory in Mb": 0.0259513854980468, "Time in s": 24.891681 }, { "step": 2226, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5968539325842697, "F1": 0.4425108763206961, "Memory in Mb": 0.0259513854980468, "Time in s": 27.295309000000003 }, { "step": 2332, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5975975975975976, "F1": 0.4423305588585017, "Memory in Mb": 0.0259513854980468, "Time in s": 29.792211 }, { "step": 2438, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5982765695527288, "F1": 0.4396107613050944, "Memory in Mb": 0.0259513854980468, "Time in s": 32.414577 }, { "step": 2544, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5973259929217459, "F1": 0.4398249452954048, "Memory in Mb": 0.0302915573120117, "Time in s": 35.17394 }, { "step": 2650, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5956964892412231, "F1": 0.4436363636363636, "Memory in Mb": 0.0567083358764648, "Time in s": 38.067898 }, { "step": 2756, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5985480943738657, "F1": 0.4497512437810945, "Memory in Mb": 0.0569524765014648, "Time in s": 41.158639 }, { "step": 2862, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.600139811254806, "F1": 0.4536771728748806, "Memory in Mb": 0.0571966171264648, "Time in s": 44.452629 }, { "step": 2968, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5979103471520054, "F1": 0.4525011473152822, "Memory in Mb": 0.0573034286499023, "Time in s": 47.888765 }, { "step": 3074, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.5971363488447771, "F1": 0.4497777777777778, "Memory in Mb": 0.0574254989624023, "Time in s": 51.476908 }, { "step": 3180, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6008178672538534, "F1": 0.4499349804941482, "Memory in Mb": 0.0574865341186523, "Time in s": 55.178717 }, { "step": 3286, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6024353120243531, "F1": 0.4470787468247248, "Memory in Mb": 0.0576086044311523, "Time in s": 59.035765 }, { "step": 3392, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6012975523444412, "F1": 0.444991789819376, "Memory in Mb": 0.0576696395874023, "Time in s": 63.084021 }, { "step": 3498, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.603946239633972, "F1": 0.4431041415359871, "Memory in Mb": 0.0577306747436523, "Time in s": 67.283017 }, { "step": 3604, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.607826810990841, "F1": 0.4452296819787986, "Memory in Mb": 0.0577306747436523, "Time in s": 71.628079 }, { "step": 3710, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6071717444055001, "F1": 0.441976254308694, "Memory in Mb": 0.0577306747436523, "Time in s": 76.17092 }, { "step": 3816, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6062909567496724, "F1": 0.4378742514970059, "Memory in Mb": 0.0577917098999023, "Time in s": 80.84267399999999 }, { "step": 3922, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.606988013261923, "F1": 0.4353242946134115, "Memory in Mb": 0.0578527450561523, "Time in s": 85.696272 }, { "step": 4028, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6088899925502855, "F1": 0.4360902255639098, "Memory in Mb": 0.0578527450561523, "Time in s": 90.658573 }, { "step": 4134, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6082748608758771, "F1": 0.4341139461726669, "Memory in Mb": 0.0579137802124023, "Time in s": 95.895015 }, { "step": 4240, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6105213493748526, "F1": 0.4370951244459598, "Memory in Mb": 0.0579137802124023, "Time in s": 101.21739399999998 }, { "step": 4346, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6119677790563867, "F1": 0.4372496662216288, "Memory in Mb": 0.0579748153686523, "Time in s": 106.75825799999998 }, { "step": 4452, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.614243990114581, "F1": 0.4387054593004249, "Memory in Mb": 0.0579748153686523, "Time in s": 112.41943399999998 }, { "step": 4558, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6126837831906956, "F1": 0.4355612408058842, "Memory in Mb": 0.0579748153686523, "Time in s": 118.261679 }, { "step": 4664, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.613339052112374, "F1": 0.4360337816703159, "Memory in Mb": 0.0579748153686523, "Time in s": 124.266912 }, { "step": 4770, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6148039421262319, "F1": 0.4352905010759299, "Memory in Mb": 0.0641164779663086, "Time in s": 130.389994 }, { "step": 4876, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6157948717948718, "F1": 0.4332829046898639, "Memory in Mb": 0.0641164779663086, "Time in s": 136.677955 }, { "step": 4982, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6167436257779563, "F1": 0.434705359786793, "Memory in Mb": 0.0641164779663086, "Time in s": 143.134937 }, { "step": 5088, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6158836249262827, "F1": 0.4313154831199068, "Memory in Mb": 0.0641775131225586, "Time in s": 149.736273 }, { "step": 5194, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6160215674947044, "F1": 0.4296338672768878, "Memory in Mb": 0.0642385482788086, "Time in s": 156.525598 }, { "step": 5300, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Bananas", "Accuracy": 0.6165314210228345, "F1": 0.4282498593134496, "Memory in Mb": 0.0618467330932617, "Time in s": 163.516222 }, { "step": 906, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8386740331491712, "F1": 0.8370535714285713, "Memory in Mb": 0.1553249359130859, "Time in s": 2.212895 }, { "step": 1812, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8823854224185533, "F1": 0.857334226389819, "Memory in Mb": 0.2904033660888672, "Time in s": 6.521798 }, { "step": 2718, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8715495031284505, "F1": 0.8438478747203579, "Memory in Mb": 0.1283740997314453, "Time in s": 13.845606 }, { "step": 3624, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.875241512558653, "F1": 0.8472972972972973, "Memory in Mb": 0.2500133514404297, "Time in s": 22.913433 }, { "step": 4530, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8737028041510267, "F1": 0.8396860986547084, "Memory in Mb": 0.3712940216064453, "Time in s": 34.075607999999995 }, { "step": 5436, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8656853725850966, "F1": 0.8300744878957169, "Memory in Mb": 0.4407672882080078, "Time in s": 47.709684 }, { "step": 6342, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8646901119697209, "F1": 0.8296943231441047, "Memory in Mb": 0.2620487213134765, "Time in s": 63.50523799999999 }, { "step": 7248, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.864771629639851, "F1": 0.8289703315881326, "Memory in Mb": 0.2866535186767578, "Time in s": 81.25362299999999 }, { "step": 8154, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8572304673126456, "F1": 0.8312064965197217, "Memory in Mb": 0.2866878509521484, "Time in s": 101.144105 }, { "step": 9060, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8580417264598742, "F1": 0.8370501773948302, "Memory in Mb": 0.2865924835205078, "Time in s": 123.033084 }, { "step": 9966, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8544907175112895, "F1": 0.8369320737741789, "Memory in Mb": 0.3109416961669922, "Time in s": 147.021637 }, { "step": 10872, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8583386992916935, "F1": 0.8434322895485971, "Memory in Mb": 0.371591567993164, "Time in s": 172.950216 }, { "step": 11778, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8529336842999066, "F1": 0.8357982555934774, "Memory in Mb": 0.4628047943115234, "Time in s": 201.490822 }, { "step": 12684, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8533469999211543, "F1": 0.8362099330750264, "Memory in Mb": 0.1895275115966797, "Time in s": 232.642586 }, { "step": 13590, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8551769813820002, "F1": 0.8395303326810176, "Memory in Mb": 0.1939334869384765, "Time in s": 265.763258 }, { "step": 14496, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.855122456019317, "F1": 0.8397435897435896, "Memory in Mb": 0.1697406768798828, "Time in s": 300.834382 }, { "step": 15402, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8537757288487761, "F1": 0.8365984617617181, "Memory in Mb": 0.1694965362548828, "Time in s": 338.213883 }, { "step": 16308, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8506776231066413, "F1": 0.8316626339440029, "Memory in Mb": 0.1640834808349609, "Time in s": 377.804328 }, { "step": 17214, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8495904258409341, "F1": 0.8278704873346187, "Memory in Mb": 0.1691112518310547, "Time in s": 419.462025 }, { "step": 18120, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8498261493459904, "F1": 0.827752104830031, "Memory in Mb": 0.198678970336914, "Time in s": 463.148728 }, { "step": 19026, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8522996057818659, "F1": 0.8287211995611362, "Memory in Mb": 0.2572231292724609, "Time in s": 508.959572 }, { "step": 19932, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8470222266820531, "F1": 0.8238895627563102, "Memory in Mb": 0.315378189086914, "Time in s": 557.675148 }, { "step": 20838, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8434035609732687, "F1": 0.8200121352529097, "Memory in Mb": 0.3239650726318359, "Time in s": 609.8923100000001 }, { "step": 21744, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8450535804626776, "F1": 0.8196563353139554, "Memory in Mb": 0.3222179412841797, "Time in s": 664.4541280000001 }, { "step": 22650, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8452911828336792, "F1": 0.8184455958549223, "Memory in Mb": 0.4409503936767578, "Time in s": 721.910691 }, { "step": 23556, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8424962852897474, "F1": 0.8143700590413289, "Memory in Mb": 0.4440975189208984, "Time in s": 782.4177400000001 }, { "step": 24462, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8403990024937655, "F1": 0.8111089607122121, "Memory in Mb": 0.5018138885498047, "Time in s": 845.9758730000001 }, { "step": 25368, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8367169945204399, "F1": 0.8072053621299572, "Memory in Mb": 0.5608501434326172, "Time in s": 913.002536 }, { "step": 26274, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8375137974346287, "F1": 0.8080226649278229, "Memory in Mb": 0.3154354095458984, "Time in s": 983.555265 }, { "step": 27180, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8378527539644579, "F1": 0.8096081565645656, "Memory in Mb": 0.315774917602539, "Time in s": 1056.640488 }, { "step": 28086, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8349652839594089, "F1": 0.8051456678017405, "Memory in Mb": 0.187021255493164, "Time in s": 1131.521461 }, { "step": 28992, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8328791693973991, "F1": 0.8007566722868775, "Memory in Mb": 0.2230243682861328, "Time in s": 1208.700577 }, { "step": 29898, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8303843194969395, "F1": 0.7968267959453503, "Memory in Mb": 0.104043960571289, "Time in s": 1288.239999 }, { "step": 30804, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8300490211992338, "F1": 0.7958984755740965, "Memory in Mb": 0.2261257171630859, "Time in s": 1369.046902 }, { "step": 31710, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8277460657857391, "F1": 0.7934815486993346, "Memory in Mb": 0.378305435180664, "Time in s": 1451.951614 }, { "step": 32616, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8227502682814656, "F1": 0.7867025790502896, "Memory in Mb": 0.1292285919189453, "Time in s": 1536.962592 }, { "step": 33522, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8198442767220548, "F1": 0.7850354180756772, "Memory in Mb": 0.1289234161376953, "Time in s": 1623.2849270000002 }, { "step": 34428, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8166264850262875, "F1": 0.7809127190699289, "Memory in Mb": 0.1940555572509765, "Time in s": 1710.9311020000002 }, { "step": 35334, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8170265757224124, "F1": 0.7804530172852923, "Memory in Mb": 0.3470821380615234, "Time in s": 1800.2335220000002 }, { "step": 36240, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8175446342338365, "F1": 0.7795559111822364, "Memory in Mb": 0.4078502655029297, "Time in s": 1890.9592170000003 }, { "step": 37146, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.816610580158837, "F1": 0.7771817349208426, "Memory in Mb": 0.4166545867919922, "Time in s": 1983.256251 }, { "step": 38052, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8155107618722242, "F1": 0.7753456221198157, "Memory in Mb": 0.1291065216064453, "Time in s": 2077.01254 }, { "step": 38958, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8146674538593834, "F1": 0.7751479289940829, "Memory in Mb": 0.2005825042724609, "Time in s": 2172.116472 }, { "step": 39864, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8157188370167825, "F1": 0.7778516995282448, "Memory in Mb": 0.169626235961914, "Time in s": 2268.811937 }, { "step": 40770, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8171650028207706, "F1": 0.7812151452891106, "Memory in Mb": 0.2508678436279297, "Time in s": 2366.696648 }, { "step": 41676, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8187402519496101, "F1": 0.7846022241231821, "Memory in Mb": 0.2554492950439453, "Time in s": 2465.8461540000003 }, { "step": 42582, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8196848359597003, "F1": 0.7859015113490603, "Memory in Mb": 0.3113727569580078, "Time in s": 2566.2285070000003 }, { "step": 43488, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8203141168625107, "F1": 0.7864093592827466, "Memory in Mb": 0.2909717559814453, "Time in s": 2667.8448940000003 }, { "step": 44394, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8199265649989863, "F1": 0.7853959731543624, "Memory in Mb": 0.4365749359130859, "Time in s": 2771.03508 }, { "step": 45300, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8212543323252169, "F1": 0.7873854475750336, "Memory in Mb": 0.4353275299072265, "Time in s": 2875.842657 }, { "step": 45312, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Elec2", "Accuracy": 0.8212575312837942, "F1": 0.7873440987265327, "Memory in Mb": 0.4353275299072265, "Time in s": 2980.68937 }, { "step": 25, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.5833333333333334, "F1": 0.6428571428571429, "Memory in Mb": 0.0747642517089843, "Time in s": 0.008848 }, { "step": 50, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.7346938775510204, "F1": 0.7346938775510203, "Memory in Mb": 0.0748252868652343, "Time in s": 0.123836 }, { "step": 75, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.7837837837837838, "F1": 0.7894736842105262, "Memory in Mb": 0.0748252868652343, "Time in s": 0.332733 }, { "step": 100, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8080808080808081, "F1": 0.8080808080808081, "Memory in Mb": 0.0748863220214843, "Time in s": 0.575353 }, { "step": 125, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8225806451612904, "F1": 0.819672131147541, "Memory in Mb": 0.0748863220214843, "Time in s": 0.909775 }, { "step": 150, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.825503355704698, "F1": 0.8289473684210527, "Memory in Mb": 0.0749092102050781, "Time in s": 1.284417 }, { "step": 175, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8333333333333334, "F1": 0.8242424242424242, "Memory in Mb": 0.0749702453613281, "Time in s": 1.765942 }, { "step": 200, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8291457286432161, "F1": 0.8191489361702128, "Memory in Mb": 0.0749702453613281, "Time in s": 2.25515 }, { "step": 225, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8303571428571429, "F1": 0.8155339805825242, "Memory in Mb": 0.0749702453613281, "Time in s": 2.805996 }, { "step": 250, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8313253012048193, "F1": 0.817391304347826, "Memory in Mb": 0.0749702453613281, "Time in s": 3.45663 }, { "step": 275, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8321167883211679, "F1": 0.8174603174603176, "Memory in Mb": 0.0749702453613281, "Time in s": 4.129749 }, { "step": 300, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8361204013377926, "F1": 0.8178438661710038, "Memory in Mb": 0.0749702453613281, "Time in s": 4.871246 }, { "step": 325, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8425925925925926, "F1": 0.8197879858657244, "Memory in Mb": 0.0750312805175781, "Time in s": 5.6743250000000005 }, { "step": 350, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8481375358166189, "F1": 0.822742474916388, "Memory in Mb": 0.0750312805175781, "Time in s": 6.528728000000001 }, { "step": 375, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8502673796791443, "F1": 0.8227848101265823, "Memory in Mb": 0.0750312805175781, "Time in s": 7.451788 }, { "step": 400, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8521303258145363, "F1": 0.8228228228228228, "Memory in Mb": 0.0750312805175781, "Time in s": 8.382915 }, { "step": 425, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8537735849056604, "F1": 0.8208092485549133, "Memory in Mb": 0.0750312805175781, "Time in s": 9.397859 }, { "step": 450, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8574610244988864, "F1": 0.8232044198895027, "Memory in Mb": 0.0750312805175781, "Time in s": 10.451359 }, { "step": 475, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8565400843881856, "F1": 0.8238341968911918, "Memory in Mb": 0.0750312805175781, "Time in s": 11.619284 }, { "step": 500, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8557114228456913, "F1": 0.8260869565217391, "Memory in Mb": 0.0750312805175781, "Time in s": 12.854081 }, { "step": 525, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8568702290076335, "F1": 0.823529411764706, "Memory in Mb": 0.0750312805175781, "Time in s": 14.155744 }, { "step": 550, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8561020036429873, "F1": 0.8240534521158129, "Memory in Mb": 0.0750312805175781, "Time in s": 15.508673 }, { "step": 575, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8554006968641115, "F1": 0.8230277185501066, "Memory in Mb": 0.1140928268432617, "Time in s": 16.956902 }, { "step": 600, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8547579298831386, "F1": 0.8176100628930818, "Memory in Mb": 0.1419858932495117, "Time in s": 18.498415 }, { "step": 625, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8573717948717948, "F1": 0.8172484599589321, "Memory in Mb": 0.1422224044799804, "Time in s": 20.046891 }, { "step": 650, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8597842835130971, "F1": 0.8233009708737864, "Memory in Mb": 0.1423902511596679, "Time in s": 21.659211 }, { "step": 675, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8590504451038575, "F1": 0.8263254113345521, "Memory in Mb": 0.1424512863159179, "Time in s": 23.289464 }, { "step": 700, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8640915593705293, "F1": 0.8306595365418894, "Memory in Mb": 0.1425123214721679, "Time in s": 25.025232 }, { "step": 725, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8646408839779005, "F1": 0.8344594594594595, "Memory in Mb": 0.1425733566284179, "Time in s": 26.77059 }, { "step": 750, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8664886515353805, "F1": 0.8371335504885993, "Memory in Mb": 0.1426343917846679, "Time in s": 28.602532 }, { "step": 775, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8643410852713178, "F1": 0.8330683624801273, "Memory in Mb": 0.1426572799682617, "Time in s": 30.506622 }, { "step": 800, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8635794743429287, "F1": 0.8340943683409437, "Memory in Mb": 0.1426572799682617, "Time in s": 32.425334 }, { "step": 825, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8628640776699029, "F1": 0.8345534407027819, "Memory in Mb": 0.1426572799682617, "Time in s": 34.352118 }, { "step": 850, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8645465253239105, "F1": 0.8364153627311521, "Memory in Mb": 0.1427183151245117, "Time in s": 36.371837 }, { "step": 875, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8672768878718535, "F1": 0.838888888888889, "Memory in Mb": 0.1427183151245117, "Time in s": 38.48177 }, { "step": 900, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8665183537263627, "F1": 0.8378378378378378, "Memory in Mb": 0.1427793502807617, "Time in s": 40.637242 }, { "step": 925, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8668831168831169, "F1": 0.8400520156046815, "Memory in Mb": 0.1427793502807617, "Time in s": 42.878637 }, { "step": 950, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8661749209694415, "F1": 0.8410513141426783, "Memory in Mb": 0.1428403854370117, "Time in s": 45.126806 }, { "step": 975, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.86652977412731, "F1": 0.8414634146341464, "Memory in Mb": 0.1428403854370117, "Time in s": 47.480371 }, { "step": 1000, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8638638638638638, "F1": 0.8392434988179669, "Memory in Mb": 0.1428403854370117, "Time in s": 49.860964 }, { "step": 1025, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8623046875, "F1": 0.8377445339470656, "Memory in Mb": 0.1428403854370117, "Time in s": 52.359728 }, { "step": 1050, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8636796949475691, "F1": 0.8402234636871508, "Memory in Mb": 0.1428403854370117, "Time in s": 54.917309 }, { "step": 1075, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8649906890130353, "F1": 0.8429035752979415, "Memory in Mb": 0.1428403854370117, "Time in s": 57.530035 }, { "step": 1100, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8671519563239308, "F1": 0.8456659619450316, "Memory in Mb": 0.1428403854370117, "Time in s": 60.237019 }, { "step": 1125, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8701067615658363, "F1": 0.8507157464212679, "Memory in Mb": 0.1428403854370117, "Time in s": 62.977514 }, { "step": 1150, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8720626631853786, "F1": 0.852852852852853, "Memory in Mb": 0.1429014205932617, "Time in s": 65.816825 }, { "step": 1175, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8713798977853492, "F1": 0.8521057786483839, "Memory in Mb": 0.1429014205932617, "Time in s": 68.70086099999999 }, { "step": 1200, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.872393661384487, "F1": 0.8530259365994236, "Memory in Mb": 0.1429014205932617, "Time in s": 71.69850399999999 }, { "step": 1225, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8733660130718954, "F1": 0.8541862652869238, "Memory in Mb": 0.1429624557495117, "Time in s": 74.74610599999998 }, { "step": 1250, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "Phishing", "Accuracy": 0.8742994395516414, "F1": 0.8560953253895509, "Memory in Mb": 0.1429624557495117, "Time in s": 77.86495099999998 }, { "step": 1903, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0237245559692382, "Time in s": 1.538486 }, { "step": 3806, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0237855911254882, "Time in s": 4.672632 }, { "step": 5709, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0238466262817382, "Time in s": 9.280899 }, { "step": 7612, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0238466262817382, "Time in s": 15.518128 }, { "step": 9515, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0238466262817382, "Time in s": 23.359252 }, { "step": 11418, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0239076614379882, "Time in s": 32.724381 }, { "step": 13321, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.0239076614379882, "Time in s": 43.566998 }, { "step": 15224, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.0331544876098632, "Time in s": 56.059492 }, { "step": 17127, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.023930549621582, "Time in s": 70.315874 }, { "step": 19030, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.023930549621582, "Time in s": 86.215201 }, { "step": 20933, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 103.810178 }, { "step": 22836, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 123.100461 }, { "step": 24739, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 144.232391 }, { "step": 26642, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 167.059054 }, { "step": 28545, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 191.625058 }, { "step": 30448, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 217.971038 }, { "step": 32351, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 246.1385 }, { "step": 34254, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 276.028821 }, { "step": 36157, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 307.727155 }, { "step": 38060, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 341.140461 }, { "step": 39963, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.023991584777832, "Time in s": 376.24707 }, { "step": 41866, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 412.982235 }, { "step": 43769, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 451.376836 }, { "step": 45672, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 491.342412 }, { "step": 47575, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 532.9409959999999 }, { "step": 49478, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 576.05932 }, { "step": 51381, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 620.875381 }, { "step": 53284, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 667.2134759999999 }, { "step": 55187, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 715.0678459999999 }, { "step": 57090, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 764.41064 }, { "step": 58993, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 815.214443 }, { "step": 60896, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 867.5634849999999 }, { "step": 62799, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 921.307598 }, { "step": 64702, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 976.50125 }, { "step": 66605, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1033.066349 }, { "step": 68508, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1090.838953 }, { "step": 70411, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1149.858677 }, { "step": 72314, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1210.07507 }, { "step": 74217, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1271.441242 }, { "step": 76120, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1333.994434 }, { "step": 78023, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1397.762471 }, { "step": 79926, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1462.67416 }, { "step": 81829, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.024052619934082, "Time in s": 1528.680001 }, { "step": 83732, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1595.853878 }, { "step": 85635, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1664.0432529999998 }, { "step": 87538, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1733.3243249999998 }, { "step": 89441, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1803.716354 }, { "step": 91344, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1875.203937 }, { "step": 93247, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 1947.740223 }, { "step": 95150, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 2021.343945 }, { "step": 95156, "track": "Binary classification", "model": "Hoeffding Adaptive Tree", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.024113655090332, "Time in s": 2094.94949 }, { "step": 106, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.638095238095238, "F1": 0.5777777777777778, "Memory in Mb": 0.6023197174072266, "Time in s": 1.25138 }, { "step": 212, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.7535545023696683, "F1": 0.711111111111111, "Memory in Mb": 1.087297439575195, "Time in s": 3.920593 }, { "step": 318, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.7760252365930599, "F1": 0.7380073800738007, "Memory in Mb": 1.471883773803711, "Time in s": 8.005582 }, { "step": 424, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8085106382978723, "F1": 0.7768595041322315, "Memory in Mb": 1.8271961212158203, "Time in s": 13.704046000000002 }, { "step": 530, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8204158790170132, "F1": 0.7845804988662132, "Memory in Mb": 2.2761096954345703, "Time in s": 21.017212 }, { "step": 636, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8362204724409449, "F1": 0.8052434456928838, "Memory in Mb": 2.6539440155029297, "Time in s": 30.07026 }, { "step": 742, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8434547908232118, "F1": 0.8110749185667754, "Memory in Mb": 3.06672477722168, "Time in s": 40.88011 }, { "step": 848, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8512396694214877, "F1": 0.8220338983050847, "Memory in Mb": 3.4897289276123047, "Time in s": 53.580909000000005 }, { "step": 954, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8583420776495279, "F1": 0.8301886792452831, "Memory in Mb": 3.93476676940918, "Time in s": 68.252368 }, { "step": 1060, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8659112370160529, "F1": 0.8378995433789953, "Memory in Mb": 4.283300399780273, "Time in s": 84.83204500000001 }, { "step": 1166, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8695278969957082, "F1": 0.8429752066115702, "Memory in Mb": 4.800313949584961, "Time in s": 103.574646 }, { "step": 1272, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8693941778127459, "F1": 0.8442776735459662, "Memory in Mb": 5.391313552856445, "Time in s": 124.497156 }, { "step": 1378, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8714596949891068, "F1": 0.8454148471615721, "Memory in Mb": 5.846994400024414, "Time in s": 147.830368 }, { "step": 1484, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8759271746459879, "F1": 0.8518518518518519, "Memory in Mb": 6.193078994750977, "Time in s": 173.44391299999998 }, { "step": 1590, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8753933291378225, "F1": 0.8520179372197308, "Memory in Mb": 6.296388626098633, "Time in s": 201.557429 }, { "step": 1696, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8755162241887906, "F1": 0.8523442967109867, "Memory in Mb": 6.211141586303711, "Time in s": 232.060182 }, { "step": 1802, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8767351471404775, "F1": 0.8550913838120104, "Memory in Mb": 6.65928840637207, "Time in s": 264.912691 }, { "step": 1908, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8730991085474568, "F1": 0.8522588522588523, "Memory in Mb": 6.686662673950195, "Time in s": 300.275827 }, { "step": 2014, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8708395429706905, "F1": 0.8507462686567164, "Memory in Mb": 7.210599899291992, "Time in s": 338.470819 }, { "step": 2120, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8725814063237376, "F1": 0.8540540540540541, "Memory in Mb": 7.48176383972168, "Time in s": 378.991608 }, { "step": 2226, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8723595505617977, "F1": 0.8539094650205761, "Memory in Mb": 7.915548324584961, "Time in s": 421.86917 }, { "step": 2332, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8751608751608752, "F1": 0.8574228319451249, "Memory in Mb": 8.423246383666992, "Time in s": 467.302026 }, { "step": 2438, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8740254411161263, "F1": 0.8560712611345522, "Memory in Mb": 8.870996475219727, "Time in s": 515.200386 }, { "step": 2544, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.874557609123083, "F1": 0.857779759251003, "Memory in Mb": 9.376256942749023, "Time in s": 565.505493 }, { "step": 2650, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8761796904492262, "F1": 0.8600682593856656, "Memory in Mb": 9.769472122192385, "Time in s": 618.233402 }, { "step": 2756, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8780399274047187, "F1": 0.8621821164889254, "Memory in Mb": 10.359186172485352, "Time in s": 673.368122 }, { "step": 2862, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8797623208668298, "F1": 0.8638163103721298, "Memory in Mb": 10.741575241088867, "Time in s": 730.824809 }, { "step": 2968, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8800134816312774, "F1": 0.8637059724349159, "Memory in Mb": 11.09235954284668, "Time in s": 790.5343869999999 }, { "step": 3074, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8805727302310445, "F1": 0.8648250460405157, "Memory in Mb": 11.562868118286133, "Time in s": 852.458144 }, { "step": 3180, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8826675055048757, "F1": 0.8667381207574134, "Memory in Mb": 10.152639389038086, "Time in s": 916.443171 }, { "step": 3286, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.882496194824962, "F1": 0.8663434903047091, "Memory in Mb": 10.670488357543944, "Time in s": 982.391476 }, { "step": 3392, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8826304924800944, "F1": 0.867244829886591, "Memory in Mb": 11.057397842407228, "Time in s": 1050.1851049999998 }, { "step": 3498, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8839004861309694, "F1": 0.8680961663417803, "Memory in Mb": 10.33408546447754, "Time in s": 1119.7824649999998 }, { "step": 3604, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8850957535387177, "F1": 0.8689043698543382, "Memory in Mb": 10.692270278930664, "Time in s": 1191.1920959999998 }, { "step": 3710, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8846050148287948, "F1": 0.8687116564417178, "Memory in Mb": 11.112970352172852, "Time in s": 1264.4750769999998 }, { "step": 3816, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8859764089121888, "F1": 0.870420017873101, "Memory in Mb": 11.59941291809082, "Time in s": 1339.6069449999998 }, { "step": 3922, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.884723284876307, "F1": 0.8687572590011614, "Memory in Mb": 12.03856086730957, "Time in s": 1416.6409169999995 }, { "step": 4028, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8840327787434815, "F1": 0.867892503536068, "Memory in Mb": 12.43459129333496, "Time in s": 1495.7064749999995 }, { "step": 4134, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.884587466731188, "F1": 0.868558831634059, "Memory in Mb": 12.796384811401367, "Time in s": 1576.7285749999996 }, { "step": 4240, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8858221278603444, "F1": 0.8701019860440149, "Memory in Mb": 13.12009620666504, "Time in s": 1659.7498909999997 }, { "step": 4346, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8872266973532796, "F1": 0.8716605552645365, "Memory in Mb": 13.362188339233398, "Time in s": 1744.8641249999996 }, { "step": 4452, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8869916872612896, "F1": 0.8713225888974162, "Memory in Mb": 13.906320571899414, "Time in s": 1831.981592 }, { "step": 4558, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8872064955014264, "F1": 0.8719481813652217, "Memory in Mb": 14.321008682250977, "Time in s": 1921.07186 }, { "step": 4664, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8876259918507399, "F1": 0.8728155339805825, "Memory in Mb": 14.677774429321287, "Time in s": 2012.226564 }, { "step": 4770, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8867687146152233, "F1": 0.8716119828815977, "Memory in Mb": 15.041936874389648, "Time in s": 2105.5104569999994 }, { "step": 4876, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.886974358974359, "F1": 0.8715318256003731, "Memory in Mb": 15.36302375793457, "Time in s": 2200.9404059999997 }, { "step": 4982, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8877735394499097, "F1": 0.8726941471191073, "Memory in Mb": 14.241693496704102, "Time in s": 2298.464636999999 }, { "step": 5088, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.886966778061726, "F1": 0.8716804284757868, "Memory in Mb": 14.559698104858398, "Time in s": 2397.961828999999 }, { "step": 5194, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.8869632197188523, "F1": 0.8716939890710382, "Memory in Mb": 15.019205093383787, "Time in s": 2499.520506999999 }, { "step": 5300, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Bananas", "Accuracy": 0.886959803736554, "F1": 0.8717070036410367, "Memory in Mb": 15.355104446411133, "Time in s": 2603.016254999998 }, { "step": 906, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8674033149171271, "F1": 0.8669623059866962, "Memory in Mb": 3.022599220275879, "Time in s": 14.706798 }, { "step": 1812, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8956377691882937, "F1": 0.8737474949899798, "Memory in Mb": 3.453568458557129, "Time in s": 43.63985 }, { "step": 2718, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.889216047110784, "F1": 0.8638625056535504, "Memory in Mb": 5.134407997131348, "Time in s": 89.85880599999999 }, { "step": 3624, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8901462876069556, "F1": 0.8665325285043594, "Memory in Mb": 5.045891761779785, "Time in s": 149.36791399999998 }, { "step": 4530, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8924707440936189, "F1": 0.8628555336524922, "Memory in Mb": 6.377499580383301, "Time in s": 220.195834 }, { "step": 5436, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8870285188592456, "F1": 0.8556652562294312, "Memory in Mb": 8.556572914123535, "Time in s": 302.539101 }, { "step": 6342, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.884245387162908, "F1": 0.8540175019888624, "Memory in Mb": 10.355942726135254, "Time in s": 396.160169 }, { "step": 7248, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8835380157306472, "F1": 0.8516174402250353, "Memory in Mb": 10.061070442199709, "Time in s": 501.0892999999999 }, { "step": 8154, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8847050165583221, "F1": 0.8605341246290802, "Memory in Mb": 12.516213417053224, "Time in s": 615.7123809999999 }, { "step": 9060, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8869632409758251, "F1": 0.8668400520156047, "Memory in Mb": 14.3945894241333, "Time in s": 740.068354 }, { "step": 9966, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8839939789262419, "F1": 0.8666974169741698, "Memory in Mb": 15.028592109680176, "Time in s": 874.678214 }, { "step": 10872, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.886119032287738, "F1": 0.8712830110210023, "Memory in Mb": 18.58602237701416, "Time in s": 1018.727325 }, { "step": 11778, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8851150547677676, "F1": 0.869464544138929, "Memory in Mb": 18.284192085266117, "Time in s": 1172.329585 }, { "step": 12684, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8825987542379563, "F1": 0.8672550592850139, "Memory in Mb": 18.56262683868408, "Time in s": 1335.5183499999998 }, { "step": 13590, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8835087202884686, "F1": 0.8699794661190965, "Memory in Mb": 22.36763858795166, "Time in s": 1507.9316749999998 }, { "step": 14496, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.883270093135564, "F1": 0.870085995085995, "Memory in Mb": 23.97218418121338, "Time in s": 1690.157865 }, { "step": 15402, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8826050256476852, "F1": 0.8679713743245216, "Memory in Mb": 24.89116382598877, "Time in s": 1881.87418 }, { "step": 16308, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8806034218433801, "F1": 0.8649885583524027, "Memory in Mb": 9.630642890930176, "Time in s": 2082.713846 }, { "step": 17214, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.880787776680416, "F1": 0.862742474916388, "Memory in Mb": 9.825531959533691, "Time in s": 2290.8714669999995 }, { "step": 18120, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.881505601854407, "F1": 0.8635178946030132, "Memory in Mb": 13.432568550109863, "Time in s": 2506.1422499999994 }, { "step": 19026, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8835742444152431, "F1": 0.864335150364427, "Memory in Mb": 11.236374855041504, "Time in s": 2728.16983 }, { "step": 19932, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8847022226682053, "F1": 0.8666744024135531, "Memory in Mb": 10.915810585021973, "Time in s": 2956.9763619999994 }, { "step": 20838, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8845803138647598, "F1": 0.866618601297765, "Memory in Mb": 6.771607398986816, "Time in s": 3192.2184919999995 }, { "step": 21744, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8842845973416732, "F1": 0.8643665768194071, "Memory in Mb": 9.905537605285645, "Time in s": 3433.744552 }, { "step": 22650, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8832178021104684, "F1": 0.8619303648796786, "Memory in Mb": 11.60939121246338, "Time in s": 3682.104731 }, { "step": 23556, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8819783485459562, "F1": 0.8599637316139432, "Memory in Mb": 7.878331184387207, "Time in s": 3937.9632889999993 }, { "step": 24462, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8805854216916724, "F1": 0.8573800107416631, "Memory in Mb": 10.65384006500244, "Time in s": 4201.066475999999 }, { "step": 25368, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8791343083533725, "F1": 0.8556497175141242, "Memory in Mb": 11.591797828674316, "Time in s": 4470.752341999999 }, { "step": 26274, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8801431127012522, "F1": 0.8566616596112704, "Memory in Mb": 13.86082935333252, "Time in s": 4746.937765999999 }, { "step": 27180, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.881195040288458, "F1": 0.8584082438061829, "Memory in Mb": 14.463074684143066, "Time in s": 5029.888654999999 }, { "step": 28086, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8798646964571836, "F1": 0.8561807331628303, "Memory in Mb": 15.367924690246582, "Time in s": 5319.910836999999 }, { "step": 28992, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8796523058880342, "F1": 0.8551019560612982, "Memory in Mb": 16.377129554748535, "Time in s": 5616.458601999999 }, { "step": 29898, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.879285547044854, "F1": 0.8544934080554772, "Memory in Mb": 16.05477237701416, "Time in s": 5919.470834999999 }, { "step": 30804, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8791351491737818, "F1": 0.8535347574648885, "Memory in Mb": 17.57622241973877, "Time in s": 6228.255318999999 }, { "step": 31710, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8775111167176511, "F1": 0.851267519338286, "Memory in Mb": 17.546963691711426, "Time in s": 6543.393541999999 }, { "step": 32616, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8771117583933773, "F1": 0.8510701545778836, "Memory in Mb": 17.15481662750244, "Time in s": 6864.899302999999 }, { "step": 33522, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8770621401509502, "F1": 0.8512864927285193, "Memory in Mb": 13.577618598937988, "Time in s": 7192.851994 }, { "step": 34428, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8757080198681267, "F1": 0.849643346568748, "Memory in Mb": 12.363858222961426, "Time in s": 7526.949055999999 }, { "step": 35334, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8754139189992358, "F1": 0.848624484181568, "Memory in Mb": 12.55275058746338, "Time in s": 7866.609101999999 }, { "step": 36240, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.875134523579569, "F1": 0.8474427699672971, "Memory in Mb": 12.88097858428955, "Time in s": 8211.574848999999 }, { "step": 37146, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8743034055727554, "F1": 0.8459838363846282, "Memory in Mb": 15.634392738342283, "Time in s": 8562.247513999999 }, { "step": 38052, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8741163175737826, "F1": 0.8451642099818981, "Memory in Mb": 17.75814151763916, "Time in s": 8918.936239999999 }, { "step": 38958, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8743743101368175, "F1": 0.8458873913591133, "Memory in Mb": 18.55082416534424, "Time in s": 9281.578229 }, { "step": 39864, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8744951458746206, "F1": 0.847381104908331, "Memory in Mb": 20.39273166656494, "Time in s": 9650.394165999998 }, { "step": 40770, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8750521229365449, "F1": 0.8493434283686265, "Memory in Mb": 20.04684543609619, "Time in s": 10025.208226999996 }, { "step": 41676, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8757768446310737, "F1": 0.8512911843276937, "Memory in Mb": 22.40410327911377, "Time in s": 10405.883388999997 }, { "step": 42582, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8760010333247223, "F1": 0.8517603458925264, "Memory in Mb": 17.905674934387207, "Time in s": 10792.424187999995 }, { "step": 43488, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8758249591832041, "F1": 0.8516320474777449, "Memory in Mb": 17.979458808898926, "Time in s": 11185.171687999997 }, { "step": 44394, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8758362804946725, "F1": 0.8511557571829769, "Memory in Mb": 19.483532905578613, "Time in s": 11584.749531999996 }, { "step": 45300, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8765977173889048, "F1": 0.8524053440354862, "Memory in Mb": 22.38176822662353, "Time in s": 11990.855977999996 }, { "step": 45312, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Elec2", "Accuracy": 0.8766083291033082, "F1": 0.8523906328378699, "Memory in Mb": 22.39494037628174, "Time in s": 12397.578789999996 }, { "step": 25, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.625, "F1": 0.7096774193548387, "Memory in Mb": 0.4178829193115234, "Time in s": 0.504078 }, { "step": 50, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.7346938775510204, "F1": 0.7450980392156864, "Memory in Mb": 0.6195468902587891, "Time in s": 1.506996 }, { "step": 75, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.7837837837837838, "F1": 0.7999999999999999, "Memory in Mb": 0.8261966705322266, "Time in s": 2.945496 }, { "step": 100, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.797979797979798, "F1": 0.8039215686274509, "Memory in Mb": 0.9074077606201172, "Time in s": 4.810448 }, { "step": 125, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.7903225806451613, "F1": 0.7968749999999999, "Memory in Mb": 1.0524044036865234, "Time in s": 7.208508 }, { "step": 150, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8120805369127517, "F1": 0.8227848101265823, "Memory in Mb": 1.155344009399414, "Time in s": 10.051324 }, { "step": 175, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8390804597701149, "F1": 0.8372093023255814, "Memory in Mb": 1.2272701263427734, "Time in s": 13.451327 }, { "step": 200, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8442211055276382, "F1": 0.8426395939086295, "Memory in Mb": 1.3437442779541016, "Time in s": 17.363237 }, { "step": 225, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8526785714285714, "F1": 0.8465116279069769, "Memory in Mb": 1.4417095184326172, "Time in s": 21.777532 }, { "step": 250, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8554216867469879, "F1": 0.85, "Memory in Mb": 1.652822494506836, "Time in s": 26.610844 }, { "step": 275, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8540145985401459, "F1": 0.8473282442748092, "Memory in Mb": 1.7137775421142578, "Time in s": 32.103705 }, { "step": 300, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8595317725752508, "F1": 0.85, "Memory in Mb": 1.6836071014404297, "Time in s": 38.177642 }, { "step": 325, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8672839506172839, "F1": 0.8542372881355932, "Memory in Mb": 1.8154468536376955, "Time in s": 44.724647 }, { "step": 350, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8681948424068768, "F1": 0.8525641025641026, "Memory in Mb": 1.9355945587158203, "Time in s": 51.783982 }, { "step": 375, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8663101604278075, "F1": 0.8484848484848485, "Memory in Mb": 2.1126270294189453, "Time in s": 59.453597 }, { "step": 400, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8696741854636592, "F1": 0.8505747126436781, "Memory in Mb": 2.2513599395751958, "Time in s": 67.701448 }, { "step": 425, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8702830188679245, "F1": 0.8467966573816157, "Memory in Mb": 2.4080867767333984, "Time in s": 76.525873 }, { "step": 450, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8775055679287305, "F1": 0.8533333333333333, "Memory in Mb": 2.413846969604492, "Time in s": 85.91210000000001 }, { "step": 475, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.879746835443038, "F1": 0.85785536159601, "Memory in Mb": 2.540945053100586, "Time in s": 95.911251 }, { "step": 500, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8817635270541082, "F1": 0.8624708624708626, "Memory in Mb": 2.727457046508789, "Time in s": 106.551347 }, { "step": 525, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8835877862595419, "F1": 0.8623024830699774, "Memory in Mb": 2.780088424682617, "Time in s": 117.8137 }, { "step": 550, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8816029143897997, "F1": 0.8602150537634409, "Memory in Mb": 2.84419059753418, "Time in s": 129.668358 }, { "step": 575, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8832752613240418, "F1": 0.8618556701030927, "Memory in Mb": 2.9667911529541016, "Time in s": 142.149346 }, { "step": 600, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8864774624373957, "F1": 0.8634538152610441, "Memory in Mb": 2.9313793182373047, "Time in s": 155.146824 }, { "step": 625, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8878205128205128, "F1": 0.8622047244094488, "Memory in Mb": 3.1180286407470703, "Time in s": 168.863765 }, { "step": 650, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8906009244992296, "F1": 0.8672897196261682, "Memory in Mb": 3.1772937774658203, "Time in s": 183.176428 }, { "step": 675, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8931750741839762, "F1": 0.8732394366197184, "Memory in Mb": 3.270914077758789, "Time in s": 198.116157 }, { "step": 700, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8969957081545065, "F1": 0.8762886597938143, "Memory in Mb": 3.2819652557373047, "Time in s": 213.702702 }, { "step": 725, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8950276243093923, "F1": 0.8762214983713356, "Memory in Mb": 3.465627670288086, "Time in s": 229.894704 }, { "step": 750, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.897196261682243, "F1": 0.8791208791208791, "Memory in Mb": 3.637697219848633, "Time in s": 246.719197 }, { "step": 775, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8979328165374677, "F1": 0.8793893129770992, "Memory in Mb": 3.6838626861572266, "Time in s": 264.274398 }, { "step": 800, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8961201501877347, "F1": 0.8784773060029282, "Memory in Mb": 3.7807750701904297, "Time in s": 282.500107 }, { "step": 825, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8968446601941747, "F1": 0.8801128349788435, "Memory in Mb": 3.913633346557617, "Time in s": 301.464554 }, { "step": 850, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.8987043580683156, "F1": 0.8818681318681318, "Memory in Mb": 4.011789321899414, "Time in s": 321.06457099999994 }, { "step": 875, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9016018306636157, "F1": 0.8847184986595175, "Memory in Mb": 4.15968132019043, "Time in s": 341.449663 }, { "step": 900, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9010011123470524, "F1": 0.8836601307189543, "Memory in Mb": 3.946676254272461, "Time in s": 362.64137199999993 }, { "step": 925, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9036796536796536, "F1": 0.8877679697351829, "Memory in Mb": 4.049928665161133, "Time in s": 384.6765929999999 }, { "step": 950, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9030558482613276, "F1": 0.8883495145631068, "Memory in Mb": 3.684160232543945, "Time in s": 407.5276099999999 }, { "step": 975, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.904517453798768, "F1": 0.8899408284023669, "Memory in Mb": 3.787748336791992, "Time in s": 431.1052179999999 }, { "step": 1000, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9049049049049048, "F1": 0.8904267589388698, "Memory in Mb": 4.052656173706055, "Time in s": 455.43358799999993 }, { "step": 1025, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9033203125, "F1": 0.888888888888889, "Memory in Mb": 4.062379837036133, "Time in s": 480.5827999999999 }, { "step": 1050, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9046711153479504, "F1": 0.8908296943231442, "Memory in Mb": 4.190084457397461, "Time in s": 506.4991779999999 }, { "step": 1075, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9059590316573556, "F1": 0.8928950159066809, "Memory in Mb": 4.285711288452148, "Time in s": 533.2628339999999 }, { "step": 1100, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9062784349408554, "F1": 0.8934850051706308, "Memory in Mb": 4.370790481567383, "Time in s": 560.8485399999998 }, { "step": 1125, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9065836298932384, "F1": 0.8948948948948948, "Memory in Mb": 3.93486213684082, "Time in s": 589.2233909999999 }, { "step": 1150, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9077458659704092, "F1": 0.896078431372549, "Memory in Mb": 4.19316291809082, "Time in s": 618.4066789999998 }, { "step": 1175, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9063032367972744, "F1": 0.8942307692307692, "Memory in Mb": 4.349401473999023, "Time in s": 648.4320089999999 }, { "step": 1200, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9065888240200168, "F1": 0.8943396226415095, "Memory in Mb": 4.34752082824707, "Time in s": 679.2709969999999 }, { "step": 1225, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9068627450980392, "F1": 0.8944444444444444, "Memory in Mb": 4.031515121459961, "Time in s": 710.9105619999998 }, { "step": 1250, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "Phishing", "Accuracy": 0.9079263410728584, "F1": 0.896115627822945, "Memory in Mb": 4.102910995483398, "Time in s": 743.3769359999998 }, { "step": 1903, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1703529357910156, "Time in s": 12.381202 }, { "step": 3806, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1715736389160156, "Time in s": 37.073822 }, { "step": 5709, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1727943420410156, "Time in s": 74.106824 }, { "step": 7612, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1727943420410156, "Time in s": 122.30955 }, { "step": 9515, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1727943420410156, "Time in s": 180.539768 }, { "step": 11418, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1740150451660156, "Time in s": 247.174942 }, { "step": 13321, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1740150451660156, "Time in s": 321.611977 }, { "step": 15224, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.23138427734375, "Time in s": 404.612477 }, { "step": 17127, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.1771812438964843, "Time in s": 498.19936 }, { "step": 19030, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.1691703796386718, "Time in s": 601.949625 }, { "step": 20933, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.1704368591308593, "Time in s": 714.510104 }, { "step": 22836, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.1782646179199218, "Time in s": 835.601872 }, { "step": 24739, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.1626014709472656, "Time in s": 964.845183 }, { "step": 26642, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.170440673828125, "Time in s": 1103.12758 }, { "step": 28545, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.1782646179199218, "Time in s": 1249.157139 }, { "step": 30448, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.1781692504882812, "Time in s": 1402.52966 }, { "step": 32351, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.1626205444335937, "Time in s": 1563.348194 }, { "step": 34254, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.1704368591308593, "Time in s": 1731.617157 }, { "step": 36157, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.1704330444335937, "Time in s": 1907.150595 }, { "step": 38060, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.1781158447265625, "Time in s": 2090.214351 }, { "step": 39963, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.1704559326171875, "Time in s": 2280.326256 }, { "step": 41866, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.163818359375, "Time in s": 2477.410916 }, { "step": 43769, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.1715812683105468, "Time in s": 2681.481315 }, { "step": 45672, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.171630859375, "Time in s": 2892.603814 }, { "step": 47575, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.1794776916503906, "Time in s": 3110.724932 }, { "step": 49478, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.3225936889648437, "Time in s": 3336.815763 }, { "step": 51381, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.3238716125488281, "Time in s": 3571.848368 }, { "step": 53284, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.2926750183105469, "Time in s": 3815.616702 }, { "step": 55187, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.3244895935058594, "Time in s": 4068.203899 }, { "step": 57090, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.2933502197265625, "Time in s": 4329.847041999999 }, { "step": 58993, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.2782058715820312, "Time in s": 4599.769264 }, { "step": 60896, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.3094024658203125, "Time in s": 4878.106527 }, { "step": 62799, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.3095321655273437, "Time in s": 5164.770925 }, { "step": 64702, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.2940139770507812, "Time in s": 5459.39874 }, { "step": 66605, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.293975830078125, "Time in s": 5761.313045999999 }, { "step": 68508, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.3251571655273437, "Time in s": 6070.487373999999 }, { "step": 70411, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.3101234436035156, "Time in s": 6386.879354 }, { "step": 72314, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.3101387023925781, "Time in s": 6710.520715 }, { "step": 74217, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.3101615905761719, "Time in s": 7041.446151 }, { "step": 76120, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.3101768493652344, "Time in s": 7379.414547 }, { "step": 78023, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.3100128173828125, "Time in s": 7724.224697000001 }, { "step": 79926, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.3101425170898437, "Time in s": 8075.760258 }, { "step": 81829, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.3100852966308594, "Time in s": 8434.038373 }, { "step": 83732, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.3107223510742187, "Time in s": 8799.103777999999 }, { "step": 85635, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.310821533203125, "Time in s": 9170.869249 }, { "step": 87538, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.2950706481933594, "Time in s": 9549.506616 }, { "step": 89441, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.2951812744140625, "Time in s": 9935.081315999998 }, { "step": 91344, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.2957954406738281, "Time in s": 10327.647623999996 }, { "step": 93247, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.3115119934082031, "Time in s": 10728.119291999998 }, { "step": 95150, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.3115577697753906, "Time in s": 11135.737891999996 }, { "step": 95156, "track": "Binary classification", "model": "Adaptive Random Forest", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.3270950317382812, "Time in s": 11543.384409999995 }, { "step": 106, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.5428571428571428, "F1": 0.4, "Memory in Mb": 0.2255392074584961, "Time in s": 2.569769 }, { "step": 212, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.5592417061611374, "F1": 0.4685714285714286, "Memory in Mb": 0.6304416656494141, "Time in s": 8.011061999999999 }, { "step": 318, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.637223974763407, "F1": 0.5724907063197027, "Memory in Mb": 0.9710559844970704, "Time in s": 16.523663 }, { "step": 424, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.6926713947990544, "F1": 0.6448087431693988, "Memory in Mb": 1.262800216674805, "Time in s": 28.175313 }, { "step": 530, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.7145557655954632, "F1": 0.6621923937360179, "Memory in Mb": 1.5703105926513672, "Time in s": 43.218913 }, { "step": 636, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.7448818897637796, "F1": 0.7000000000000001, "Memory in Mb": 1.467294692993164, "Time in s": 61.573557 }, { "step": 742, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.7624831309041835, "F1": 0.7170418006430868, "Memory in Mb": 1.877767562866211, "Time in s": 83.22394800000001 }, { "step": 848, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.7827626918536009, "F1": 0.7430167597765364, "Memory in Mb": 2.3253536224365234, "Time in s": 108.413447 }, { "step": 954, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.7964323189926548, "F1": 0.7599009900990098, "Memory in Mb": 1.7426891326904297, "Time in s": 137.183902 }, { "step": 1060, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8054768649669499, "F1": 0.7674943566591422, "Memory in Mb": 1.7942829132080078, "Time in s": 169.50541299999998 }, { "step": 1166, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8103004291845494, "F1": 0.7747196738022425, "Memory in Mb": 1.8575687408447263, "Time in s": 205.462561 }, { "step": 1272, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8151062155782848, "F1": 0.7822057460611677, "Memory in Mb": 1.917165756225586, "Time in s": 244.587795 }, { "step": 1378, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8191721132897604, "F1": 0.7851596203623814, "Memory in Mb": 2.1873340606689453, "Time in s": 286.663235 }, { "step": 1484, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8240053944706676, "F1": 0.7916999201915402, "Memory in Mb": 2.2810306549072266, "Time in s": 331.700902 }, { "step": 1590, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8231592196349906, "F1": 0.7916975537435137, "Memory in Mb": 2.585817337036133, "Time in s": 379.560946 }, { "step": 1696, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8271386430678466, "F1": 0.7961029923451634, "Memory in Mb": 2.885595321655273, "Time in s": 430.279509 }, { "step": 1802, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8334258745141588, "F1": 0.8046875, "Memory in Mb": 2.8240184783935547, "Time in s": 483.724395 }, { "step": 1908, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8332459360251704, "F1": 0.8060975609756097, "Memory in Mb": 3.138376235961914, "Time in s": 539.732848 }, { "step": 2014, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8340784898161947, "F1": 0.8084862385321101, "Memory in Mb": 3.5751514434814453, "Time in s": 598.378334 }, { "step": 2120, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8367154318074563, "F1": 0.813778256189451, "Memory in Mb": 3.890401840209961, "Time in s": 659.469374 }, { "step": 2226, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8382022471910112, "F1": 0.8157625383828044, "Memory in Mb": 4.414094924926758, "Time in s": 723.240852 }, { "step": 2332, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8404118404118404, "F1": 0.8185365853658537, "Memory in Mb": 4.828973770141602, "Time in s": 789.4489060000001 }, { "step": 2438, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8432498974148543, "F1": 0.8216619981325864, "Memory in Mb": 4.724649429321289, "Time in s": 858.0992190000001 }, { "step": 2544, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8450648839952811, "F1": 0.8247330960854093, "Memory in Mb": 4.20762825012207, "Time in s": 929.163006 }, { "step": 2650, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.846734616836542, "F1": 0.8270868824531515, "Memory in Mb": 4.517709732055664, "Time in s": 1002.552295 }, { "step": 2756, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8500907441016334, "F1": 0.8306683066830667, "Memory in Mb": 4.757001876831055, "Time in s": 1078.240465 }, { "step": 2862, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8521495980426425, "F1": 0.8324752475247525, "Memory in Mb": 4.690572738647461, "Time in s": 1156.1945970000002 }, { "step": 2968, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.854061341422312, "F1": 0.8339087073264287, "Memory in Mb": 4.873067855834961, "Time in s": 1236.185934 }, { "step": 3074, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8538887081028311, "F1": 0.8340110905730129, "Memory in Mb": 5.244169235229492, "Time in s": 1318.3478 }, { "step": 3180, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8565586662472475, "F1": 0.836441893830703, "Memory in Mb": 5.473237991333008, "Time in s": 1402.707418 }, { "step": 3286, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8575342465753425, "F1": 0.8371607515657619, "Memory in Mb": 5.716192245483398, "Time in s": 1489.296647 }, { "step": 3392, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8593335299321734, "F1": 0.8400938652363393, "Memory in Mb": 6.05610466003418, "Time in s": 1578.3688909999998 }, { "step": 3498, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8615956534172148, "F1": 0.8419333768778575, "Memory in Mb": 6.433168411254883, "Time in s": 1669.799251 }, { "step": 3604, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8631695809048016, "F1": 0.8430436166825852, "Memory in Mb": 6.670698165893555, "Time in s": 1763.5519829999998 }, { "step": 3710, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8638447020760313, "F1": 0.8444718201416692, "Memory in Mb": 7.050989151000977, "Time in s": 1859.626818 }, { "step": 3816, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8657929226736566, "F1": 0.84688995215311, "Memory in Mb": 7.316404342651367, "Time in s": 1958.012503 }, { "step": 3922, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8653404743687835, "F1": 0.846064139941691, "Memory in Mb": 7.61528205871582, "Time in s": 2058.675528 }, { "step": 4028, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8644151974174323, "F1": 0.8449744463373083, "Memory in Mb": 7.967977523803711, "Time in s": 2161.579262 }, { "step": 4134, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8654730220179047, "F1": 0.8462389380530975, "Memory in Mb": 7.394952774047852, "Time in s": 2266.595873 }, { "step": 4240, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8674215616890776, "F1": 0.8486806677436726, "Memory in Mb": 7.571531295776367, "Time in s": 2373.458397 }, { "step": 4346, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8688147295742232, "F1": 0.8503937007874016, "Memory in Mb": 7.877435684204102, "Time in s": 2482.305033 }, { "step": 4452, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8683441923163334, "F1": 0.8496664956387892, "Memory in Mb": 8.180627822875977, "Time in s": 2593.165336 }, { "step": 4558, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8689927583936801, "F1": 0.8508618536097925, "Memory in Mb": 8.39448356628418, "Time in s": 2705.945127 }, { "step": 4664, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8691829294445635, "F1": 0.8516536964980544, "Memory in Mb": 8.710580825805664, "Time in s": 2820.674173 }, { "step": 4770, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8689452715453974, "F1": 0.8510131108462455, "Memory in Mb": 9.014997482299805, "Time in s": 2937.453009 }, { "step": 4876, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8703589743589744, "F1": 0.8523364485981308, "Memory in Mb": 9.167715072631836, "Time in s": 3056.177406 }, { "step": 4982, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8713109817305762, "F1": 0.8538864827900615, "Memory in Mb": 9.482858657836914, "Time in s": 3176.936292 }, { "step": 5088, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8714369962649892, "F1": 0.8539526574363555, "Memory in Mb": 9.87147331237793, "Time in s": 3299.754349 }, { "step": 5194, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8717504332755632, "F1": 0.8543944031482291, "Memory in Mb": 10.20412254333496, "Time in s": 3424.594329 }, { "step": 5300, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Bananas", "Accuracy": 0.8716739007359879, "F1": 0.8542648949849978, "Memory in Mb": 10.538087844848633, "Time in s": 3551.414099 }, { "step": 906, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8828729281767956, "F1": 0.8811659192825113, "Memory in Mb": 5.258722305297852, "Time in s": 37.408806 }, { "step": 1812, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.9039204859193816, "F1": 0.8804945054945055, "Memory in Mb": 8.443174362182617, "Time in s": 104.985856 }, { "step": 2718, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8873757821126242, "F1": 0.8602739726027397, "Memory in Mb": 12.445928573608398, "Time in s": 198.514402 }, { "step": 3624, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.884902014904775, "F1": 0.8576305906452714, "Memory in Mb": 16.533422470092773, "Time in s": 314.268209 }, { "step": 4530, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8812099801280636, "F1": 0.8452243958573072, "Memory in Mb": 19.26629447937012, "Time in s": 451.77035 }, { "step": 5436, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8756209751609936, "F1": 0.8372652864708715, "Memory in Mb": 24.12981605529785, "Time in s": 609.66041 }, { "step": 6342, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8719444882510645, "F1": 0.8340825500612996, "Memory in Mb": 28.348302841186523, "Time in s": 788.9253299999999 }, { "step": 7248, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8691872498965089, "F1": 0.8308351177730193, "Memory in Mb": 31.66439247131348, "Time in s": 988.709629 }, { "step": 8154, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8690052741322213, "F1": 0.8387681159420289, "Memory in Mb": 35.27585411071777, "Time in s": 1209.125777 }, { "step": 9060, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.869742797218236, "F1": 0.844162704701532, "Memory in Mb": 38.39363670349121, "Time in s": 1448.169528 }, { "step": 9966, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8681384846964375, "F1": 0.8455934195064629, "Memory in Mb": 42.49019813537598, "Time in s": 1706.33653 }, { "step": 10872, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8687333272008095, "F1": 0.849265870920038, "Memory in Mb": 46.91076469421387, "Time in s": 1983.228319 }, { "step": 11778, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8694064702386006, "F1": 0.8495402073958129, "Memory in Mb": 41.51856422424317, "Time in s": 2278.772125 }, { "step": 12684, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8672238429393676, "F1": 0.8479320931912588, "Memory in Mb": 46.98099327087402, "Time in s": 2591.81768 }, { "step": 13590, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8682758113179778, "F1": 0.8513289036544851, "Memory in Mb": 50.757638931274414, "Time in s": 2922.748705 }, { "step": 14496, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8687823387374957, "F1": 0.8527863777089782, "Memory in Mb": 43.74130058288574, "Time in s": 3269.777293 }, { "step": 15402, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8686448931887539, "F1": 0.8518708354689903, "Memory in Mb": 49.06788444519043, "Time in s": 3632.343799 }, { "step": 16308, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8649659655362728, "F1": 0.8467427616926504, "Memory in Mb": 54.357858657836914, "Time in s": 4011.129855 }, { "step": 17214, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.865392435949573, "F1": 0.8447987139125192, "Memory in Mb": 52.38222694396973, "Time in s": 4407.893822 }, { "step": 18120, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8652795408135107, "F1": 0.8448286822198208, "Memory in Mb": 59.36540412902832, "Time in s": 4822.718697 }, { "step": 19026, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.867700394218134, "F1": 0.8459136822773186, "Memory in Mb": 57.10729789733887, "Time in s": 5251.994155 }, { "step": 19932, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8692489087351363, "F1": 0.84882236918436, "Memory in Mb": 51.34463310241699, "Time in s": 5694.600867 }, { "step": 20838, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8691750251955656, "F1": 0.8490085299656586, "Memory in Mb": 53.35045051574707, "Time in s": 6149.875029 }, { "step": 21744, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8700271351699398, "F1": 0.8478682170542635, "Memory in Mb": 59.89077186584473, "Time in s": 6616.750619 }, { "step": 22650, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8694865115457636, "F1": 0.8459614382490881, "Memory in Mb": 65.61615180969238, "Time in s": 7094.935599 }, { "step": 23556, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.868860114625345, "F1": 0.8444690599667689, "Memory in Mb": 72.22853660583496, "Time in s": 7585.744803 }, { "step": 24462, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8682392379706472, "F1": 0.8428648042513772, "Memory in Mb": 80.47726249694824, "Time in s": 8090.441156999999 }, { "step": 25368, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8672290771474751, "F1": 0.8417888012025554, "Memory in Mb": 73.03231239318848, "Time in s": 8608.413273 }, { "step": 26274, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8684581128915617, "F1": 0.8430802760624773, "Memory in Mb": 79.16955757141113, "Time in s": 9138.877569 }, { "step": 27180, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8698259685786821, "F1": 0.8451234459814394, "Memory in Mb": 84.2670955657959, "Time in s": 9681.232951 }, { "step": 28086, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8689335944454335, "F1": 0.8434616202423985, "Memory in Mb": 93.53372383117676, "Time in s": 10236.036265 }, { "step": 28992, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8688558518160808, "F1": 0.8423322551215061, "Memory in Mb": 92.7535800933838, "Time in s": 10801.143387 }, { "step": 29898, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8689166137070609, "F1": 0.8421603769785332, "Memory in Mb": 90.79977607727052, "Time in s": 11375.205452 }, { "step": 30804, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8684868356978216, "F1": 0.8408063818917749, "Memory in Mb": 97.95510292053224, "Time in s": 11957.401901 }, { "step": 31710, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8668832192752847, "F1": 0.8384553561177235, "Memory in Mb": 105.25788688659668, "Time in s": 12547.475367 }, { "step": 32616, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8664724819868159, "F1": 0.8381943154374885, "Memory in Mb": 94.53887367248537, "Time in s": 13145.300695000002 }, { "step": 33522, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8661436114674383, "F1": 0.8380553650701988, "Memory in Mb": 102.01883506774902, "Time in s": 13750.733881000002 }, { "step": 34428, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8648444534812793, "F1": 0.8364441632394811, "Memory in Mb": 100.427827835083, "Time in s": 14363.910035000004 }, { "step": 35334, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8647723091727281, "F1": 0.8357849876271651, "Memory in Mb": 107.87262153625488, "Time in s": 14984.863075000005 }, { "step": 36240, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8642346643119292, "F1": 0.83420946219167, "Memory in Mb": 112.83228874206544, "Time in s": 15613.594311000004 }, { "step": 37146, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8632655808318751, "F1": 0.8326689289361843, "Memory in Mb": 120.66686058044434, "Time in s": 16250.422859000002 }, { "step": 38052, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8627631336889964, "F1": 0.8316135689410551, "Memory in Mb": 126.15458106994627, "Time in s": 16895.166705000003 }, { "step": 38958, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8634391765279668, "F1": 0.8328620797989319, "Memory in Mb": 107.22049903869627, "Time in s": 17548.303432000004 }, { "step": 39864, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8644356922459423, "F1": 0.8353041570157259, "Memory in Mb": 103.5422191619873, "Time in s": 18208.490072000004 }, { "step": 40770, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.865436974171552, "F1": 0.8378745788758201, "Memory in Mb": 97.78764533996582, "Time in s": 18874.504490000003 }, { "step": 41676, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8666586682663467, "F1": 0.8403940603728063, "Memory in Mb": 102.76390266418456, "Time in s": 19545.753018000003 }, { "step": 42582, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8673821657546793, "F1": 0.8415055151702265, "Memory in Mb": 107.51249122619627, "Time in s": 20221.607860000004 }, { "step": 43488, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8677075907742544, "F1": 0.841885392332005, "Memory in Mb": 102.9560489654541, "Time in s": 20902.251232 }, { "step": 44394, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8679071024711104, "F1": 0.8415905775568644, "Memory in Mb": 103.86480903625488, "Time in s": 21587.715975000003 }, { "step": 45300, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8688933530541513, "F1": 0.843053830501308, "Memory in Mb": 107.29028511047365, "Time in s": 22278.011723000003 }, { "step": 45312, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Elec2", "Accuracy": 0.8688839354682086, "F1": 0.8430092751631743, "Memory in Mb": 107.32242012023926, "Time in s": 22968.976341 }, { "step": 25, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8333333333333334, "F1": 0.8333333333333334, "Memory in Mb": 0.7029104232788086, "Time in s": 1.141902 }, { "step": 50, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8571428571428571, "F1": 0.8372093023255814, "Memory in Mb": 0.9397382736206056, "Time in s": 3.355867 }, { "step": 75, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8783783783783784, "F1": 0.8695652173913043, "Memory in Mb": 0.9708013534545898, "Time in s": 6.532426 }, { "step": 100, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8888888888888888, "F1": 0.8817204301075269, "Memory in Mb": 1.056624412536621, "Time in s": 10.815831 }, { "step": 125, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8790322580645161, "F1": 0.8739495798319329, "Memory in Mb": 1.3782567977905271, "Time in s": 16.293882 }, { "step": 150, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8791946308724832, "F1": 0.8783783783783784, "Memory in Mb": 1.379134178161621, "Time in s": 22.890072 }, { "step": 175, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.896551724137931, "F1": 0.888888888888889, "Memory in Mb": 1.4786596298217771, "Time in s": 30.52314 }, { "step": 200, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8944723618090452, "F1": 0.8864864864864866, "Memory in Mb": 1.6607275009155271, "Time in s": 39.247513 }, { "step": 225, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8973214285714286, "F1": 0.8866995073891626, "Memory in Mb": 1.686568260192871, "Time in s": 49.014513 }, { "step": 250, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.891566265060241, "F1": 0.88, "Memory in Mb": 1.9668035507202148, "Time in s": 59.910523 }, { "step": 275, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8905109489051095, "F1": 0.8780487804878049, "Memory in Mb": 2.071291923522949, "Time in s": 71.88595 }, { "step": 300, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8896321070234113, "F1": 0.8754716981132077, "Memory in Mb": 2.2423620223999023, "Time in s": 85.00905599999999 }, { "step": 325, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8888888888888888, "F1": 0.8723404255319148, "Memory in Mb": 2.4750547409057617, "Time in s": 99.146325 }, { "step": 350, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8853868194842407, "F1": 0.8666666666666667, "Memory in Mb": 2.532855033874512, "Time in s": 114.354375 }, { "step": 375, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8850267379679144, "F1": 0.8652037617554859, "Memory in Mb": 2.8150205612182617, "Time in s": 130.79065599999998 }, { "step": 400, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8822055137844611, "F1": 0.8613569321533923, "Memory in Mb": 2.795191764831543, "Time in s": 148.41625799999997 }, { "step": 425, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8844339622641509, "F1": 0.8611898016997167, "Memory in Mb": 2.962000846862793, "Time in s": 167.06847699999997 }, { "step": 450, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.888641425389755, "F1": 0.8648648648648649, "Memory in Mb": 3.03415584564209, "Time in s": 186.853211 }, { "step": 475, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.890295358649789, "F1": 0.8686868686868687, "Memory in Mb": 3.071761131286621, "Time in s": 207.829 }, { "step": 500, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8917835671342685, "F1": 0.8726415094339622, "Memory in Mb": 3.1551198959350586, "Time in s": 229.951047 }, { "step": 525, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8950381679389313, "F1": 0.8741418764302059, "Memory in Mb": 3.1928510665893555, "Time in s": 253.214946 }, { "step": 550, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8943533697632058, "F1": 0.8739130434782608, "Memory in Mb": 3.2878904342651367, "Time in s": 277.566695 }, { "step": 575, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8937282229965157, "F1": 0.8726513569937369, "Memory in Mb": 3.441771507263184, "Time in s": 303.140017 }, { "step": 600, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8964941569282137, "F1": 0.8739837398373984, "Memory in Mb": 3.515273094177246, "Time in s": 329.715755 }, { "step": 625, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8958333333333334, "F1": 0.8707753479125249, "Memory in Mb": 3.5807180404663086, "Time in s": 357.461609 }, { "step": 650, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8983050847457628, "F1": 0.8754716981132076, "Memory in Mb": 3.695376396179199, "Time in s": 386.398038 }, { "step": 675, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8961424332344213, "F1": 0.8754448398576512, "Memory in Mb": 3.755015373229981, "Time in s": 416.468493 }, { "step": 700, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.899856938483548, "F1": 0.8784722222222222, "Memory in Mb": 3.790995597839356, "Time in s": 447.643877 }, { "step": 725, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.899171270718232, "F1": 0.8797364085667215, "Memory in Mb": 3.939352989196777, "Time in s": 479.929216 }, { "step": 750, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9012016021361816, "F1": 0.8825396825396825, "Memory in Mb": 3.942519187927246, "Time in s": 513.493128 }, { "step": 775, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9018087855297158, "F1": 0.8827160493827161, "Memory in Mb": 4.2751874923706055, "Time in s": 548.2965389999999 }, { "step": 800, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.899874843554443, "F1": 0.8816568047337278, "Memory in Mb": 4.513812065124512, "Time in s": 584.3583229999999 }, { "step": 825, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.8992718446601942, "F1": 0.8819345661450925, "Memory in Mb": 4.773520469665527, "Time in s": 621.611368 }, { "step": 850, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.901060070671378, "F1": 0.8836565096952909, "Memory in Mb": 4.815379142761231, "Time in s": 660.1796979999999 }, { "step": 875, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.902745995423341, "F1": 0.884979702300406, "Memory in Mb": 4.980830192565918, "Time in s": 699.8371419999999 }, { "step": 900, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9043381535038932, "F1": 0.8862433862433862, "Memory in Mb": 5.134486198425293, "Time in s": 740.7850809999999 }, { "step": 925, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9069264069264068, "F1": 0.8903061224489796, "Memory in Mb": 5.209948539733887, "Time in s": 782.8443949999998 }, { "step": 950, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9083245521601686, "F1": 0.8932515337423312, "Memory in Mb": 5.338950157165527, "Time in s": 826.1813729999999 }, { "step": 975, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9106776180698152, "F1": 0.895808383233533, "Memory in Mb": 5.382990837097168, "Time in s": 870.7373769999999 }, { "step": 1000, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9109109109109108, "F1": 0.896149358226371, "Memory in Mb": 5.44773006439209, "Time in s": 916.477949 }, { "step": 1025, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9111328125, "F1": 0.896942242355606, "Memory in Mb": 5.591532707214356, "Time in s": 963.445117 }, { "step": 1050, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.911344137273594, "F1": 0.8976897689768977, "Memory in Mb": 5.678961753845215, "Time in s": 1011.481541 }, { "step": 1075, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9115456238361266, "F1": 0.8986125933831376, "Memory in Mb": 5.788058280944824, "Time in s": 1060.652982 }, { "step": 1100, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9117379435850772, "F1": 0.8990634755463061, "Memory in Mb": 5.880267143249512, "Time in s": 1110.965738 }, { "step": 1125, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9119217081850534, "F1": 0.9003021148036253, "Memory in Mb": 6.120665550231934, "Time in s": 1162.442095 }, { "step": 1150, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9129677980852916, "F1": 0.90138067061144, "Memory in Mb": 6.185591697692871, "Time in s": 1215.005575 }, { "step": 1175, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9114139693356048, "F1": 0.8996138996138997, "Memory in Mb": 6.431841850280762, "Time in s": 1268.8167280000002 }, { "step": 1200, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9124270225187656, "F1": 0.9004739336492891, "Memory in Mb": 6.484606742858887, "Time in s": 1323.7082160000002 }, { "step": 1225, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9133986928104576, "F1": 0.9014869888475836, "Memory in Mb": 6.481654167175293, "Time in s": 1379.6419000000003 }, { "step": 1250, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "Phishing", "Accuracy": 0.9135308246597278, "F1": 0.9019963702359348, "Memory in Mb": 6.595587730407715, "Time in s": 1436.6903440000003 }, { "step": 1903, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1670236587524414, "Time in s": 31.246172 }, { "step": 3806, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1682443618774414, "Time in s": 90.057064 }, { "step": 5709, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1694650650024414, "Time in s": 168.92668600000002 }, { "step": 7612, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1694650650024414, "Time in s": 266.339332 }, { "step": 9515, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1694650650024414, "Time in s": 379.700681 }, { "step": 11418, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1706857681274414, "Time in s": 507.500932 }, { "step": 13321, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1706857681274414, "Time in s": 650.046105 }, { "step": 15224, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.2171335220336914, "Time in s": 806.74928 }, { "step": 17127, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.1745767593383789, "Time in s": 979.905317 }, { "step": 19030, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.1744394302368164, "Time in s": 1169.37771 }, { "step": 20933, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.1757745742797851, "Time in s": 1374.513378 }, { "step": 22836, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.1757287979125976, "Time in s": 1595.365052 }, { "step": 24739, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.1757516860961914, "Time in s": 1830.528112 }, { "step": 26642, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.1757287979125976, "Time in s": 2079.072293 }, { "step": 28545, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.1757287979125976, "Time in s": 2341.33087 }, { "step": 30448, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.1756372451782226, "Time in s": 2616.3107910000003 }, { "step": 32351, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.1757745742797851, "Time in s": 2903.8369350000003 }, { "step": 34254, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.1756601333618164, "Time in s": 3203.0985050000004 }, { "step": 36157, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.1756830215454101, "Time in s": 3513.3936680000006 }, { "step": 38060, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.1757059097290039, "Time in s": 3834.7595300000007 }, { "step": 39963, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.1757745742797851, "Time in s": 4167.168481000001 }, { "step": 41866, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 4510.027218000001 }, { "step": 43769, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 4863.234695000001 }, { "step": 45672, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 5226.731618000001 }, { "step": 47575, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.1770639419555664, "Time in s": 5600.511358000001 }, { "step": 49478, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.1769037246704101, "Time in s": 5984.651066 }, { "step": 51381, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.1691675186157226, "Time in s": 6379.477192 }, { "step": 53284, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.1770639419555664, "Time in s": 6785.903036000001 }, { "step": 55187, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.1770410537719726, "Time in s": 7201.6518080000005 }, { "step": 57090, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 7626.427031 }, { "step": 58993, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 8059.133738 }, { "step": 60896, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.1769723892211914, "Time in s": 8499.283325 }, { "step": 62799, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.1769266128540039, "Time in s": 8946.957028 }, { "step": 64702, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.1769952774047851, "Time in s": 9401.959764 }, { "step": 66605, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.1769723892211914, "Time in s": 9864.111715 }, { "step": 68508, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.1691446304321289, "Time in s": 10332.853073 }, { "step": 70411, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.1769037246704101, "Time in s": 10808.168746 }, { "step": 72314, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.1691217422485351, "Time in s": 11290.14581 }, { "step": 74217, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.1769723892211914, "Time in s": 11778.656001 }, { "step": 76120, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.1769723892211914, "Time in s": 12273.787996 }, { "step": 78023, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.1769952774047851, "Time in s": 12775.472063 }, { "step": 79926, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.1769723892211914, "Time in s": 13283.764208 }, { "step": 81829, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.1770181655883789, "Time in s": 13798.661938 }, { "step": 83732, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.1782617568969726, "Time in s": 14320.191281 }, { "step": 85635, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.1703653335571289, "Time in s": 14848.294436 }, { "step": 87538, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.1702966690063476, "Time in s": 15383.005183 }, { "step": 89441, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.1781930923461914, "Time in s": 15923.647685 }, { "step": 91344, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.1781473159790039, "Time in s": 16470.415157 }, { "step": 93247, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.1782159805297851, "Time in s": 17023.687732 }, { "step": 95150, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.1782159805297851, "Time in s": 17582.958979 }, { "step": 95156, "track": "Binary classification", "model": "Streaming Random Patches", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.1781702041625976, "Time in s": 18142.251025 }, { "step": 106, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.7238095238095238, "F1": 0.6881720430107527, "Memory in Mb": 0.1032800674438476, "Time in s": 0.213787 }, { "step": 212, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8056872037914692, "F1": 0.7807486631016043, "Memory in Mb": 0.1952676773071289, "Time in s": 0.888466 }, { "step": 318, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.807570977917981, "F1": 0.7859649122807018, "Memory in Mb": 0.286778450012207, "Time in s": 2.29757 }, { "step": 424, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8297872340425532, "F1": 0.8115183246073298, "Memory in Mb": 0.3787660598754883, "Time in s": 4.640547 }, { "step": 530, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.831758034026465, "F1": 0.8061002178649236, "Memory in Mb": 2.6361207962036133, "Time in s": 29.527472000000003 }, { "step": 636, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8472440944881889, "F1": 0.8245931283905967, "Memory in Mb": 3.060887336730957, "Time in s": 56.29478 }, { "step": 742, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8529014844804319, "F1": 0.8278041074249604, "Memory in Mb": 3.5180253982543945, "Time in s": 85.033958 }, { "step": 848, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8559622195985832, "F1": 0.8328767123287671, "Memory in Mb": 3.9749040603637695, "Time in s": 116.009539 }, { "step": 954, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8604407135362014, "F1": 0.8372093023255813, "Memory in Mb": 4.4283952713012695, "Time in s": 149.38786199999998 }, { "step": 1060, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8706326723323891, "F1": 0.8476084538375974, "Memory in Mb": 4.592366218566895, "Time in s": 185.280189 }, { "step": 1166, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.871244635193133, "F1": 0.8484848484848485, "Memory in Mb": 4.394963264465332, "Time in s": 223.461408 }, { "step": 1272, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8693941778127459, "F1": 0.8477064220183486, "Memory in Mb": 4.242337226867676, "Time in s": 263.595386 }, { "step": 1378, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8714596949891068, "F1": 0.8488471391972673, "Memory in Mb": 4.1376237869262695, "Time in s": 305.593042 }, { "step": 1484, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8759271746459879, "F1": 0.8548895899053628, "Memory in Mb": 4.233838081359863, "Time in s": 349.622856 }, { "step": 1590, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8735053492762744, "F1": 0.8527472527472527, "Memory in Mb": 4.485638618469238, "Time in s": 396.123591 }, { "step": 1696, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8755162241887906, "F1": 0.854982817869416, "Memory in Mb": 4.566784858703613, "Time in s": 444.689218 }, { "step": 1802, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8778456413103831, "F1": 0.858611825192802, "Memory in Mb": 4.580937385559082, "Time in s": 495.109217 }, { "step": 1908, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8778185631882538, "F1": 0.8598917618761276, "Memory in Mb": 4.553791999816895, "Time in s": 547.400313 }, { "step": 2014, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.877297565822156, "F1": 0.8605307735742519, "Memory in Mb": 4.4779558181762695, "Time in s": 601.303554 }, { "step": 2120, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8787163756488909, "F1": 0.8635156664896441, "Memory in Mb": 4.453892707824707, "Time in s": 656.840699 }, { "step": 2226, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8782022471910113, "F1": 0.8630621526023244, "Memory in Mb": 4.4562273025512695, "Time in s": 714.0315049999999 }, { "step": 2332, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8777348777348777, "F1": 0.862782859894078, "Memory in Mb": 4.439526557922363, "Time in s": 772.745195 }, { "step": 2438, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8785391875256463, "F1": 0.8635944700460828, "Memory in Mb": 4.450131416320801, "Time in s": 833.024947 }, { "step": 2544, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8788832088084939, "F1": 0.864793678665496, "Memory in Mb": 4.448788642883301, "Time in s": 894.808032 }, { "step": 2650, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8784446961117403, "F1": 0.8647058823529411, "Memory in Mb": 4.491581916809082, "Time in s": 958.170481 }, { "step": 2756, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.879491833030853, "F1": 0.8659127625201939, "Memory in Mb": 4.482541084289551, "Time in s": 1022.970177 }, { "step": 2862, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8808109052778749, "F1": 0.867056530214425, "Memory in Mb": 4.4542436599731445, "Time in s": 1089.131713 }, { "step": 2968, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8813616447590158, "F1": 0.8673700075357951, "Memory in Mb": 4.489590644836426, "Time in s": 1156.687087 }, { "step": 3074, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8805727302310445, "F1": 0.8665939658306071, "Memory in Mb": 4.4426774978637695, "Time in s": 1225.526022 }, { "step": 3180, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8820383768480654, "F1": 0.8677248677248678, "Memory in Mb": 4.4409685134887695, "Time in s": 1295.666774 }, { "step": 3286, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.882496194824962, "F1": 0.8678082191780822, "Memory in Mb": 4.441540718078613, "Time in s": 1367.284144 }, { "step": 3392, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8832202890002949, "F1": 0.8693931398416888, "Memory in Mb": 4.4570817947387695, "Time in s": 1440.244405 }, { "step": 3498, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8850443237060337, "F1": 0.8709055876685934, "Memory in Mb": 4.465977668762207, "Time in s": 1514.504066 }, { "step": 3604, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8856508465167916, "F1": 0.8710888610763454, "Memory in Mb": 4.4596757888793945, "Time in s": 1590.040367 }, { "step": 3710, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8864923159881369, "F1": 0.8724628900333233, "Memory in Mb": 4.477154731750488, "Time in s": 1666.899992 }, { "step": 3816, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8875491480996068, "F1": 0.8737120989108037, "Memory in Mb": 4.4705095291137695, "Time in s": 1745.0344980000002 }, { "step": 3922, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8867635807192042, "F1": 0.8724870763928776, "Memory in Mb": 4.45665454864502, "Time in s": 1824.4605280000003 }, { "step": 4028, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8852743978147505, "F1": 0.8706606942889138, "Memory in Mb": 4.454602241516113, "Time in s": 1905.1708120000003 }, { "step": 4134, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8857972417130414, "F1": 0.8712493180578287, "Memory in Mb": 4.461682319641113, "Time in s": 1987.1975480000003 }, { "step": 4240, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.886765746638358, "F1": 0.8724760892667376, "Memory in Mb": 4.4584245681762695, "Time in s": 2070.530861 }, { "step": 4346, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8876869965477561, "F1": 0.8735751295336789, "Memory in Mb": 4.494175910949707, "Time in s": 2155.1880220000003 }, { "step": 4452, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8869916872612896, "F1": 0.8725614390676463, "Memory in Mb": 4.517621040344238, "Time in s": 2241.198533 }, { "step": 4558, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8869870528856704, "F1": 0.8729336294103133, "Memory in Mb": 4.495129585266113, "Time in s": 2328.452784 }, { "step": 4664, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.886982629208664, "F1": 0.873286847799952, "Memory in Mb": 4.453595161437988, "Time in s": 2416.918556 }, { "step": 4770, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8857202767875865, "F1": 0.8715531463587085, "Memory in Mb": 4.469174385070801, "Time in s": 2506.628209 }, { "step": 4876, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8861538461538462, "F1": 0.871616932685635, "Memory in Mb": 4.478787422180176, "Time in s": 2597.661861 }, { "step": 4982, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8869704878538446, "F1": 0.8728832693610296, "Memory in Mb": 4.4154863357543945, "Time in s": 2689.897866 }, { "step": 5088, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.885983880479654, "F1": 0.8716814159292035, "Memory in Mb": 4.439602851867676, "Time in s": 2783.355406 }, { "step": 5194, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.885422684382823, "F1": 0.8711842390127733, "Memory in Mb": 4.50291919708252, "Time in s": 2878.218251 }, { "step": 5300, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Bananas", "Accuracy": 0.8850726552179656, "F1": 0.8708377518557794, "Memory in Mb": 4.509961128234863, "Time in s": 2974.330637 }, { "step": 906, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8784530386740331, "F1": 0.8711943793911008, "Memory in Mb": 4.434150695800781, "Time in s": 37.114054 }, { "step": 1812, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8801766979569299, "F1": 0.8453314326443336, "Memory in Mb": 4.643096923828125, "Time in s": 93.709907 }, { "step": 2718, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8568273831431726, "F1": 0.8160756501182034, "Memory in Mb": 4.667282104492188, "Time in s": 164.56349699999998 }, { "step": 3624, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8746894838531604, "F1": 0.8411476557032889, "Memory in Mb": 4.594398498535156, "Time in s": 248.378172 }, { "step": 4530, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8783395893133142, "F1": 0.8399651466744118, "Memory in Mb": 4.710762023925781, "Time in s": 344.82085099999995 }, { "step": 5436, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8745170193192272, "F1": 0.8360576923076923, "Memory in Mb": 4.698677062988281, "Time in s": 452.381486 }, { "step": 6342, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8747831572307208, "F1": 0.8384865744507731, "Memory in Mb": 4.6694183349609375, "Time in s": 569.8523869999999 }, { "step": 7248, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8723609769559818, "F1": 0.8348509194786646, "Memory in Mb": 4.666007995605469, "Time in s": 697.1091419999999 }, { "step": 8154, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8718263215994113, "F1": 0.8430695299594534, "Memory in Mb": 4.7265625, "Time in s": 834.9178869999998 }, { "step": 9060, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8738271332376643, "F1": 0.8493475682087781, "Memory in Mb": 4.708610534667969, "Time in s": 981.8103579999998 }, { "step": 9966, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8720521826392373, "F1": 0.8501234277653698, "Memory in Mb": 4.625167846679688, "Time in s": 1137.002296 }, { "step": 10872, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8740686229417717, "F1": 0.8545628386274301, "Memory in Mb": 4.637184143066406, "Time in s": 1300.798705 }, { "step": 11778, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8742464124989386, "F1": 0.8546756942400157, "Memory in Mb": 4.6933135986328125, "Time in s": 1473.412993 }, { "step": 12684, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.872664196168099, "F1": 0.8527937289217027, "Memory in Mb": 4.810676574707031, "Time in s": 1655.581963 }, { "step": 13590, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8748252262859666, "F1": 0.8573824096587573, "Memory in Mb": 4.703468322753906, "Time in s": 1846.50108 }, { "step": 14496, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8750603656433252, "F1": 0.85826093762229, "Memory in Mb": 4.719985961914063, "Time in s": 2046.373626 }, { "step": 15402, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8755924939938965, "F1": 0.8581371242410781, "Memory in Mb": 4.7149505615234375, "Time in s": 2254.774116 }, { "step": 16308, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.872079475072055, "F1": 0.8535112359550563, "Memory in Mb": 4.6830902099609375, "Time in s": 2471.471716 }, { "step": 17214, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8723058153721025, "F1": 0.8517669274345832, "Memory in Mb": 4.657257080078125, "Time in s": 2696.3467009999995 }, { "step": 18120, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.87234394834152, "F1": 0.8515118443859535, "Memory in Mb": 4.7351837158203125, "Time in s": 2929.434657 }, { "step": 19026, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8734822601839685, "F1": 0.8509505232522138, "Memory in Mb": 4.845870971679688, "Time in s": 3171.2751989999992 }, { "step": 19932, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8722091214690683, "F1": 0.8505193966782089, "Memory in Mb": 4.855270385742188, "Time in s": 3421.524358999999 }, { "step": 20838, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8678312616979411, "F1": 0.8451765234989881, "Memory in Mb": 4.8942718505859375, "Time in s": 3679.924087999999 }, { "step": 21744, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8677735363105368, "F1": 0.8427672955974842, "Memory in Mb": 4.7196807861328125, "Time in s": 3945.793201999999 }, { "step": 22650, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8669256920835356, "F1": 0.840444679724722, "Memory in Mb": 4.809005737304688, "Time in s": 4218.904371999999 }, { "step": 23556, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8647845468053492, "F1": 0.8373257061136934, "Memory in Mb": 4.794342041015625, "Time in s": 4499.001777999999 }, { "step": 24462, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8644372674870201, "F1": 0.8359715077166601, "Memory in Mb": 4.758956909179688, "Time in s": 4786.067247999999 }, { "step": 25368, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8619860448614342, "F1": 0.8330710914032329, "Memory in Mb": 4.846771240234375, "Time in s": 5079.937268999999 }, { "step": 26274, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8623301488219846, "F1": 0.8333410127632125, "Memory in Mb": 4.699310302734375, "Time in s": 5380.101847999999 }, { "step": 27180, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8632767945840538, "F1": 0.8350350705851016, "Memory in Mb": 4.794769287109375, "Time in s": 5686.612909 }, { "step": 28086, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.862061598718177, "F1": 0.8333620096352374, "Memory in Mb": 4.6817474365234375, "Time in s": 5999.306036 }, { "step": 28992, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8618191852643924, "F1": 0.8323989624299222, "Memory in Mb": 4.8116455078125, "Time in s": 6318.119808 }, { "step": 29898, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8607218115529987, "F1": 0.8308417289567761, "Memory in Mb": 4.769432067871094, "Time in s": 6643.155825 }, { "step": 30804, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8599162419244879, "F1": 0.8291562735083342, "Memory in Mb": 4.83782958984375, "Time in s": 6975.21929 }, { "step": 31710, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8578006244283958, "F1": 0.8263832736513803, "Memory in Mb": 4.765548706054688, "Time in s": 7313.109579 }, { "step": 32616, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8558332055802544, "F1": 0.8246307623452186, "Memory in Mb": 4.726959228515625, "Time in s": 7656.831982 }, { "step": 33522, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8543897855075923, "F1": 0.8232354325861008, "Memory in Mb": 4.798057556152344, "Time in s": 8006.181245 }, { "step": 34428, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8533128068086095, "F1": 0.8218066337332393, "Memory in Mb": 4.773887634277344, "Time in s": 8361.39601 }, { "step": 35334, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8518099227351201, "F1": 0.8192737815822173, "Memory in Mb": 4.808341979980469, "Time in s": 8722.632877 }, { "step": 36240, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8522310218273131, "F1": 0.8186651315566692, "Memory in Mb": 4.722572326660156, "Time in s": 9089.688296 }, { "step": 37146, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8505586216179836, "F1": 0.8161859664227292, "Memory in Mb": 4.720252990722656, "Time in s": 9462.293988 }, { "step": 38052, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8507792173661665, "F1": 0.81590039556449, "Memory in Mb": 4.766929626464844, "Time in s": 9840.72504 }, { "step": 38958, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8507841979618553, "F1": 0.8163523204751524, "Memory in Mb": 4.769111633300781, "Time in s": 10225.058019 }, { "step": 39864, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.850889295838246, "F1": 0.8178809976101478, "Memory in Mb": 4.736076354980469, "Time in s": 10615.291715 }, { "step": 40770, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8509161372611543, "F1": 0.8193329766363474, "Memory in Mb": 4.725471496582031, "Time in s": 11011.540552 }, { "step": 41676, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8518536292741452, "F1": 0.8217770336585647, "Memory in Mb": 4.700096130371094, "Time in s": 11414.574328 }, { "step": 42582, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8529156196425636, "F1": 0.8235028885444553, "Memory in Mb": 4.746559143066406, "Time in s": 11823.240959 }, { "step": 43488, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8525536367190195, "F1": 0.8231074817920989, "Memory in Mb": 4.826316833496094, "Time in s": 12236.954316 }, { "step": 44394, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8525217939765278, "F1": 0.8226754421602882, "Memory in Mb": 4.775764465332031, "Time in s": 12655.735001 }, { "step": 45300, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.853131415704541, "F1": 0.8236541468974475, "Memory in Mb": 4.767349243164063, "Time in s": 13079.48614 }, { "step": 45312, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Elec2", "Accuracy": 0.8531482421487057, "F1": 0.8236416644579911, "Memory in Mb": 4.766036987304688, "Time in s": 13503.439196 }, { "step": 25, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.5833333333333334, "F1": 0.7058823529411764, "Memory in Mb": 0.0411081314086914, "Time in s": 0.04635 }, { "step": 50, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.7551020408163265, "F1": 0.7777777777777778, "Memory in Mb": 0.0695962905883789, "Time in s": 0.16308 }, { "step": 75, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.7972972972972973, "F1": 0.8235294117647058, "Memory in Mb": 0.0986146926879882, "Time in s": 0.336872 }, { "step": 100, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.797979797979798, "F1": 0.8148148148148148, "Memory in Mb": 0.1271295547485351, "Time in s": 0.6777850000000001 }, { "step": 125, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8064516129032258, "F1": 0.8208955223880596, "Memory in Mb": 0.155644416809082, "Time in s": 1.226658 }, { "step": 150, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8187919463087249, "F1": 0.834355828220859, "Memory in Mb": 0.1846628189086914, "Time in s": 1.947513 }, { "step": 175, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8390804597701149, "F1": 0.8426966292134832, "Memory in Mb": 0.2131776809692382, "Time in s": 2.9471350000000003 }, { "step": 200, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8391959798994975, "F1": 0.8415841584158417, "Memory in Mb": 0.2421960830688476, "Time in s": 4.26255 }, { "step": 225, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8392857142857143, "F1": 0.8363636363636364, "Memory in Mb": 0.2707109451293945, "Time in s": 5.830504 }, { "step": 250, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8232931726907631, "F1": 0.8225806451612903, "Memory in Mb": 0.2992258071899414, "Time in s": 7.819846 }, { "step": 275, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8248175182481752, "F1": 0.8208955223880596, "Memory in Mb": 0.3284578323364258, "Time in s": 10.199689 }, { "step": 300, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8260869565217391, "F1": 0.8181818181818181, "Memory in Mb": 0.3569726943969726, "Time in s": 12.972732 }, { "step": 325, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8364197530864198, "F1": 0.8250825082508251, "Memory in Mb": 0.385991096496582, "Time in s": 16.225203999999998 }, { "step": 350, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8452722063037249, "F1": 0.83125, "Memory in Mb": 0.4145059585571289, "Time in s": 19.962148 }, { "step": 375, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.839572192513369, "F1": 0.8235294117647058, "Memory in Mb": 0.4430208206176758, "Time in s": 24.257676 }, { "step": 400, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8421052631578947, "F1": 0.8225352112676055, "Memory in Mb": 0.4720392227172851, "Time in s": 29.175886 }, { "step": 425, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8443396226415094, "F1": 0.819672131147541, "Memory in Mb": 0.500554084777832, "Time in s": 34.714831 }, { "step": 450, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8463251670378619, "F1": 0.8198433420365536, "Memory in Mb": 0.5295724868774414, "Time in s": 40.875928 }, { "step": 475, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8438818565400844, "F1": 0.8177339901477833, "Memory in Mb": 0.5580873489379883, "Time in s": 47.66810099999999 }, { "step": 500, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.845691382765531, "F1": 0.8229885057471266, "Memory in Mb": 2.675789833068848, "Time in s": 79.03492 }, { "step": 525, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8454198473282443, "F1": 0.8187919463087249, "Memory in Mb": 2.7769289016723637, "Time in s": 111.488727 }, { "step": 550, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.848816029143898, "F1": 0.8237791932059448, "Memory in Mb": 2.8829355239868164, "Time in s": 145.039549 }, { "step": 575, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8519163763066202, "F1": 0.8268839103869654, "Memory in Mb": 2.989964485168457, "Time in s": 179.782132 }, { "step": 600, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8514190317195326, "F1": 0.8230616302186878, "Memory in Mb": 3.098984718322754, "Time in s": 215.642079 }, { "step": 625, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8525641025641025, "F1": 0.8210116731517509, "Memory in Mb": 3.2059221267700195, "Time in s": 252.521109 }, { "step": 650, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8582434514637904, "F1": 0.8302583025830258, "Memory in Mb": 3.3169260025024414, "Time in s": 290.529559 }, { "step": 675, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8620178041543026, "F1": 0.8382608695652174, "Memory in Mb": 3.429127693176269, "Time in s": 329.62297 }, { "step": 700, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8669527896995708, "F1": 0.8421052631578948, "Memory in Mb": 3.5458459854125977, "Time in s": 369.665809 }, { "step": 725, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8674033149171271, "F1": 0.8456591639871384, "Memory in Mb": 3.659161567687988, "Time in s": 410.977113 }, { "step": 750, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8678237650200267, "F1": 0.8465116279069768, "Memory in Mb": 3.769242286682129, "Time in s": 453.550102 }, { "step": 775, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8669250645994832, "F1": 0.8446455505279035, "Memory in Mb": 3.881718635559082, "Time in s": 497.265773 }, { "step": 800, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8648310387984981, "F1": 0.8434782608695652, "Memory in Mb": 3.994263648986816, "Time in s": 542.189116 }, { "step": 825, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8628640776699029, "F1": 0.8423988842398884, "Memory in Mb": 4.110844612121582, "Time in s": 588.325742 }, { "step": 850, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8657243816254417, "F1": 0.8451086956521738, "Memory in Mb": 4.225159645080566, "Time in s": 635.696811 }, { "step": 875, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.868421052631579, "F1": 0.847277556440903, "Memory in Mb": 4.342709541320801, "Time in s": 684.216091 }, { "step": 900, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8698553948832035, "F1": 0.8482490272373541, "Memory in Mb": 4.455658912658691, "Time in s": 733.952375 }, { "step": 925, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8712121212121212, "F1": 0.8514357053682896, "Memory in Mb": 4.573666572570801, "Time in s": 785.013527 }, { "step": 950, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8735511064278187, "F1": 0.8561151079136691, "Memory in Mb": 4.697152137756348, "Time in s": 837.27657 }, { "step": 975, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8757700205338809, "F1": 0.8581477139507622, "Memory in Mb": 4.820996284484863, "Time in s": 890.836474 }, { "step": 1000, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8758758758758759, "F1": 0.858447488584475, "Memory in Mb": 4.93715763092041, "Time in s": 945.663339 }, { "step": 1025, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8759765625, "F1": 0.8590455049944505, "Memory in Mb": 4.905686378479004, "Time in s": 1001.665911 }, { "step": 1050, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8779790276453765, "F1": 0.8617710583153347, "Memory in Mb": 4.881028175354004, "Time in s": 1058.849613 }, { "step": 1075, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8780260707635009, "F1": 0.86282722513089, "Memory in Mb": 4.857575416564941, "Time in s": 1117.1299479999998 }, { "step": 1100, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8789808917197452, "F1": 0.8641470888661901, "Memory in Mb": 4.821175575256348, "Time in s": 1176.4409139999998 }, { "step": 1125, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8798932384341637, "F1": 0.8662041625371655, "Memory in Mb": 4.749619483947754, "Time in s": 1236.7626339999997 }, { "step": 1150, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8807658833768495, "F1": 0.8668610301263362, "Memory in Mb": 4.722535133361816, "Time in s": 1298.0588499999997 }, { "step": 1175, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.879045996592845, "F1": 0.8645038167938931, "Memory in Mb": 4.706612586975098, "Time in s": 1360.3228199999996 }, { "step": 1200, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8807339449541285, "F1": 0.865979381443299, "Memory in Mb": 4.686341285705566, "Time in s": 1423.5043029999997 }, { "step": 1225, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8815359477124183, "F1": 0.8666053357865686, "Memory in Mb": 4.653275489807129, "Time in s": 1487.6393369999996 }, { "step": 1250, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "Phishing", "Accuracy": 0.8815052041633307, "F1": 0.867145421903052, "Memory in Mb": 4.596428871154785, "Time in s": 1552.6498929999996 }, { "step": 1903, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.559709548950195, "Time in s": 49.463009 }, { "step": 3806, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.594751358032227, "Time in s": 126.299444 }, { "step": 5709, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.435243606567383, "Time in s": 223.803561 }, { "step": 7612, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.493677139282227, "Time in s": 340.763146 }, { "step": 9515, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.534708023071289, "Time in s": 475.19475 }, { "step": 11418, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.455095291137695, "Time in s": 625.35715 }, { "step": 13321, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.479013442993164, "Time in s": 790.6914730000001 }, { "step": 15224, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998686198515404, "F1": 0.9, "Memory in Mb": 4.445444107055664, "Time in s": 971.128522 }, { "step": 17127, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998832184981898, "F1": 0.9166666666666666, "Memory in Mb": 4.544534683227539, "Time in s": 1166.447296 }, { "step": 19030, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998948972620736, "F1": 0.9166666666666666, "Memory in Mb": 4.52708625793457, "Time in s": 1376.022994 }, { "step": 20933, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.999904452512899, "F1": 0.9166666666666666, "Memory in Mb": 4.493997573852539, "Time in s": 1599.513782 }, { "step": 22836, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999124151521788, "F1": 0.9166666666666666, "Memory in Mb": 4.490983963012695, "Time in s": 1835.532511 }, { "step": 24739, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999191527205108, "F1": 0.9166666666666666, "Memory in Mb": 4.531465530395508, "Time in s": 2083.498651 }, { "step": 26642, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998873916144289, "F1": 0.88, "Memory in Mb": 4.54191780090332, "Time in s": 2343.113276 }, { "step": 28545, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.999894899103139, "F1": 0.88, "Memory in Mb": 4.488824844360352, "Time in s": 2613.833594 }, { "step": 30448, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999014681249384, "F1": 0.88, "Memory in Mb": 4.459695816040039, "Time in s": 2894.8346570000003 }, { "step": 32351, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999072642967544, "F1": 0.88, "Memory in Mb": 4.475152969360352, "Time in s": 3186.5040240000003 }, { "step": 34254, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999124164306776, "F1": 0.88, "Memory in Mb": 4.543954849243164, "Time in s": 3487.9588300000005 }, { "step": 36157, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999170262197146, "F1": 0.88, "Memory in Mb": 4.482622146606445, "Time in s": 3798.7831540000006 }, { "step": 38060, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999211750177356, "F1": 0.88, "Memory in Mb": 4.496248245239258, "Time in s": 4119.269013000001 }, { "step": 39963, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.999924928682248, "F1": 0.88, "Memory in Mb": 4.471353530883789, "Time in s": 4448.958874000001 }, { "step": 41866, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999283410963812, "F1": 0.88, "Memory in Mb": 4.53770637512207, "Time in s": 4788.142489000001 }, { "step": 43769, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.999931456772071, "F1": 0.88, "Memory in Mb": 4.51286506652832, "Time in s": 5135.940338 }, { "step": 45672, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999343128024348, "F1": 0.88, "Memory in Mb": 4.49894905090332, "Time in s": 5492.9415070000005 }, { "step": 47575, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999369403455668, "F1": 0.88, "Memory in Mb": 4.555765151977539, "Time in s": 5859.118968000001 }, { "step": 49478, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999393657659116, "F1": 0.88, "Memory in Mb": 4.430139541625977, "Time in s": 6234.600581000001 }, { "step": 51381, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999221486959906, "F1": 0.8571428571428571, "Memory in Mb": 4.466188430786133, "Time in s": 6619.789592000001 }, { "step": 53284, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999249291518872, "F1": 0.8571428571428571, "Memory in Mb": 4.526651382446289, "Time in s": 7013.956607000001 }, { "step": 55187, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9999275178487298, "F1": 0.8571428571428571, "Memory in Mb": 4.485139846801758, "Time in s": 7418.775951000001 }, { "step": 57090, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997898018882796, "F1": 0.7391304347826089, "Memory in Mb": 4.452577590942383, "Time in s": 7831.9045620000015 }, { "step": 58993, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997965825874696, "F1": 0.7391304347826089, "Memory in Mb": 4.485406875610352, "Time in s": 8252.946705000002 }, { "step": 60896, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998029394860004, "F1": 0.7391304347826089, "Memory in Mb": 4.502649307250977, "Time in s": 8681.511861000003 }, { "step": 62799, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997770629637888, "F1": 0.7083333333333334, "Memory in Mb": 4.495584487915039, "Time in s": 9116.499033000002 }, { "step": 64702, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997836200367846, "F1": 0.7083333333333334, "Memory in Mb": 4.500345230102539, "Time in s": 9557.922914000002 }, { "step": 66605, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997898024142694, "F1": 0.7083333333333334, "Memory in Mb": 4.572656631469727, "Time in s": 10005.892137000004 }, { "step": 68508, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997664472243712, "F1": 0.68, "Memory in Mb": 4.537866592407227, "Time in s": 10460.064213000003 }, { "step": 70411, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997727595512002, "F1": 0.68, "Memory in Mb": 4.469621658325195, "Time in s": 10920.643886000003 }, { "step": 72314, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997787396457068, "F1": 0.68, "Memory in Mb": 4.537904739379883, "Time in s": 11387.046035000005 }, { "step": 74217, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997844130645684, "F1": 0.68, "Memory in Mb": 4.493074417114258, "Time in s": 11859.048710000005 }, { "step": 76120, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.99978980280876, "F1": 0.68, "Memory in Mb": 4.520692825317383, "Time in s": 12336.641580000003 }, { "step": 78023, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997949296352312, "F1": 0.68, "Memory in Mb": 4.566102981567383, "Time in s": 12820.170836000005 }, { "step": 79926, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9997998123240538, "F1": 0.68, "Memory in Mb": 4.500688552856445, "Time in s": 13309.287446000002 }, { "step": 81829, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998044679082956, "F1": 0.68, "Memory in Mb": 4.506959915161133, "Time in s": 13804.219559000005 }, { "step": 83732, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998089118725442, "F1": 0.68, "Memory in Mb": 4.503435134887695, "Time in s": 14304.793113000003 }, { "step": 85635, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998131583249644, "F1": 0.68, "Memory in Mb": 4.498682022094727, "Time in s": 14810.923265000005 }, { "step": 87538, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998172201469092, "F1": 0.68, "Memory in Mb": 4.491861343383789, "Time in s": 15322.783751000004 }, { "step": 89441, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998099284436494, "F1": 0.6666666666666666, "Memory in Mb": 4.496858596801758, "Time in s": 15840.351229000004 }, { "step": 91344, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998138883110912, "F1": 0.6666666666666666, "Memory in Mb": 4.480546951293945, "Time in s": 16363.581709000004 }, { "step": 93247, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.999817686549557, "F1": 0.6666666666666666, "Memory in Mb": 4.533571243286133, "Time in s": 16892.331870000005 }, { "step": 95150, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998213328568876, "F1": 0.6666666666666666, "Memory in Mb": 4.517786026000977, "Time in s": 17426.665113000006 }, { "step": 95156, "track": "Binary classification", "model": "k-Nearest Neighbors", "dataset": "SMTP", "Accuracy": 0.9998213441227471, "F1": 0.6666666666666666, "Memory in Mb": 4.518220901489258, "Time in s": 17961.110841000005 }, { "step": 106, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.4857142857142857, "F1": 0.4599999999999999, "Memory in Mb": 0.1797952651977539, "Time in s": 0.693272 }, { "step": 212, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5165876777251185, "F1": 0.4574468085106383, "Memory in Mb": 0.1805887222290039, "Time in s": 2.027128 }, { "step": 318, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5205047318611987, "F1": 0.4722222222222222, "Memory in Mb": 0.1812677383422851, "Time in s": 4.089008 }, { "step": 424, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5460992907801419, "F1": 0.4838709677419355, "Memory in Mb": 0.1813135147094726, "Time in s": 6.917919 }, { "step": 530, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.55765595463138, "F1": 0.455813953488372, "Memory in Mb": 0.1813364028930664, "Time in s": 10.429995 }, { "step": 636, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5543307086614173, "F1": 0.4259634888438134, "Memory in Mb": 0.1819925308227539, "Time in s": 14.687229 }, { "step": 742, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5748987854251012, "F1": 0.4220183486238532, "Memory in Mb": 0.1820383071899414, "Time in s": 19.647457 }, { "step": 848, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5785123966942148, "F1": 0.4232633279483037, "Memory in Mb": 0.1819696426391601, "Time in s": 25.366911 }, { "step": 954, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5844700944386149, "F1": 0.4193548387096774, "Memory in Mb": 0.1819467544555664, "Time in s": 31.800242 }, { "step": 1060, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5920679886685553, "F1": 0.4146341463414634, "Memory in Mb": 0.1819467544555664, "Time in s": 39.029576 }, { "step": 1166, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.590557939914163, "F1": 0.4015056461731493, "Memory in Mb": 0.1819238662719726, "Time in s": 46.984262 }, { "step": 1272, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5971675845790716, "F1": 0.4101382488479262, "Memory in Mb": 0.1819238662719726, "Time in s": 55.672123 }, { "step": 1378, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.599128540305011, "F1": 0.3973799126637554, "Memory in Mb": 0.1825342178344726, "Time in s": 65.02100899999999 }, { "step": 1484, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5994605529332434, "F1": 0.3926380368098159, "Memory in Mb": 0.1824884414672851, "Time in s": 75.177128 }, { "step": 1590, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5997482693517936, "F1": 0.3896353166986563, "Memory in Mb": 0.1824655532836914, "Time in s": 86.053176 }, { "step": 1696, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6011799410029498, "F1": 0.3876811594202898, "Memory in Mb": 0.1824655532836914, "Time in s": 97.727606 }, { "step": 1802, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6013325930038868, "F1": 0.3904923599320882, "Memory in Mb": 0.1824884414672851, "Time in s": 110.067211 }, { "step": 1908, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6030414263240692, "F1": 0.396812749003984, "Memory in Mb": 0.1824884414672851, "Time in s": 123.213825 }, { "step": 2014, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5986090412319921, "F1": 0.3961136023916292, "Memory in Mb": 0.1824884414672851, "Time in s": 137.051202 }, { "step": 2120, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5969797074091553, "F1": 0.3994374120956399, "Memory in Mb": 0.1824884414672851, "Time in s": 151.568436 }, { "step": 2226, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.597752808988764, "F1": 0.4013377926421405, "Memory in Mb": 0.1824426651000976, "Time in s": 166.814875 }, { "step": 2332, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5988845988845989, "F1": 0.4033184428844926, "Memory in Mb": 0.1824426651000976, "Time in s": 182.823981 }, { "step": 2438, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5995075913007797, "F1": 0.4019607843137255, "Memory in Mb": 0.1824655532836914, "Time in s": 199.616425 }, { "step": 2544, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6008651199370821, "F1": 0.4088526499708794, "Memory in Mb": 0.1824655532836914, "Time in s": 217.084375 }, { "step": 2650, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6002265005662514, "F1": 0.4073866815892558, "Memory in Mb": 0.1830987930297851, "Time in s": 235.279245 }, { "step": 2756, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5985480943738657, "F1": 0.4028077753779697, "Memory in Mb": 0.1830987930297851, "Time in s": 254.250965 }, { "step": 2862, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.599790283117791, "F1": 0.4051948051948052, "Memory in Mb": 0.1830987930297851, "Time in s": 273.857236 }, { "step": 2968, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.599932591843613, "F1": 0.4026170105686965, "Memory in Mb": 0.1831216812133789, "Time in s": 294.204326 }, { "step": 3074, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5977871786527823, "F1": 0.4023210831721469, "Memory in Mb": 0.1831216812133789, "Time in s": 315.311898 }, { "step": 3180, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5986159169550173, "F1": 0.4042950513538749, "Memory in Mb": 0.1831216812133789, "Time in s": 337.189575 }, { "step": 3286, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5981735159817352, "F1": 0.4021739130434782, "Memory in Mb": 0.1785964965820312, "Time in s": 359.75124 }, { "step": 3392, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.5959893836626364, "F1": 0.4022687609075043, "Memory in Mb": 0.2364349365234375, "Time in s": 383.144231 }, { "step": 3498, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.597369173577352, "F1": 0.4023769100169779, "Memory in Mb": 0.2806434631347656, "Time in s": 407.324287 }, { "step": 3604, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6008881487649181, "F1": 0.4087171052631579, "Memory in Mb": 0.3000526428222656, "Time in s": 432.314941 }, { "step": 3710, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6012402264761392, "F1": 0.4086365453818472, "Memory in Mb": 0.3464546203613281, "Time in s": 458.107983 }, { "step": 3816, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6023591087811271, "F1": 0.4104158569762923, "Memory in Mb": 0.3760719299316406, "Time in s": 484.645149 }, { "step": 3922, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6052027543993879, "F1": 0.4145234493192133, "Memory in Mb": 0.4113121032714844, "Time in s": 512.014837 }, { "step": 4028, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.608393344921778, "F1": 0.4195804195804196, "Memory in Mb": 0.4392280578613281, "Time in s": 540.239956 }, { "step": 4134, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6121461408178079, "F1": 0.4260651629072682, "Memory in Mb": 0.4532661437988281, "Time in s": 569.3761920000001 }, { "step": 4240, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6157112526539278, "F1": 0.4329968673860076, "Memory in Mb": 0.4546051025390625, "Time in s": 599.333749 }, { "step": 4346, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6186421173762946, "F1": 0.4384954252795662, "Memory in Mb": 0.4373931884765625, "Time in s": 630.119 }, { "step": 4452, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6212087171422153, "F1": 0.4420913302448709, "Memory in Mb": 0.4377059936523437, "Time in s": 661.732786 }, { "step": 4558, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6214614878209348, "F1": 0.4437278297323443, "Memory in Mb": 0.4275894165039062, "Time in s": 694.0925080000001 }, { "step": 4664, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6219172206733863, "F1": 0.4454230890217049, "Memory in Mb": 0.3975372314453125, "Time in s": 727.2725200000001 }, { "step": 4770, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6227720696162717, "F1": 0.4449244060475162, "Memory in Mb": 0.42584228515625, "Time in s": 761.2761580000001 }, { "step": 4876, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6235897435897436, "F1": 0.4444444444444444, "Memory in Mb": 0.393829345703125, "Time in s": 796.1318860000001 }, { "step": 4982, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6251756675366392, "F1": 0.4491000295072292, "Memory in Mb": 0.39398193359375, "Time in s": 831.6856570000001 }, { "step": 5088, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.624139964615687, "F1": 0.4467592592592592, "Memory in Mb": 0.39410400390625, "Time in s": 867.9313910000001 }, { "step": 5194, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6248796456768727, "F1": 0.4469051675184554, "Memory in Mb": 0.394500732421875, "Time in s": 904.957506 }, { "step": 5300, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Bananas", "Accuracy": 0.6259671636157765, "F1": 0.4482182628062361, "Memory in Mb": 0.4006576538085937, "Time in s": 942.730038 }, { "step": 906, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8651933701657458, "F1": 0.8685344827586208, "Memory in Mb": 1.5650663375854492, "Time in s": 11.845084 }, { "step": 1812, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8895637769188294, "F1": 0.8684210526315789, "Memory in Mb": 1.8734617233276367, "Time in s": 34.886970000000005 }, { "step": 2718, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8778064041221936, "F1": 0.8547681539807523, "Memory in Mb": 1.7035398483276367, "Time in s": 70.08374500000001 }, { "step": 3624, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8835219431410434, "F1": 0.8607260726072606, "Memory in Mb": 1.6641263961791992, "Time in s": 115.953507 }, { "step": 4530, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8878339589313314, "F1": 0.8599007170435742, "Memory in Mb": 2.069842338562012, "Time in s": 171.720075 }, { "step": 5436, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.886292548298068, "F1": 0.8580615525953147, "Memory in Mb": 2.326838493347168, "Time in s": 235.88433300000003 }, { "step": 6342, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8845607948273143, "F1": 0.8556782334384859, "Memory in Mb": 1.8882322311401367, "Time in s": 307.801578 }, { "step": 7248, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8835380157306472, "F1": 0.8526021655606008, "Memory in Mb": 1.7675046920776367, "Time in s": 386.842642 }, { "step": 8154, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8854409419845456, "F1": 0.8617115783239561, "Memory in Mb": 1.8750486373901367, "Time in s": 473.251889 }, { "step": 9060, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8863009162159179, "F1": 0.8664765361680064, "Memory in Mb": 1.8668012619018557, "Time in s": 566.6143930000001 }, { "step": 9966, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.883492222779729, "F1": 0.8657337805019083, "Memory in Mb": 1.624751091003418, "Time in s": 666.8526760000001 }, { "step": 10872, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8851071658541072, "F1": 0.8689539397754694, "Memory in Mb": 1.836443901062012, "Time in s": 773.0944300000001 }, { "step": 11778, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8819733378619343, "F1": 0.8645224171539961, "Memory in Mb": 1.461909294128418, "Time in s": 884.893217 }, { "step": 12684, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8788930063865016, "F1": 0.8610709117221419, "Memory in Mb": 1.412806510925293, "Time in s": 1002.145707 }, { "step": 13590, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.880197218338362, "F1": 0.863970588235294, "Memory in Mb": 1.521845817565918, "Time in s": 1125.032122 }, { "step": 14496, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8799586064160055, "F1": 0.8644437519476471, "Memory in Mb": 1.922499656677246, "Time in s": 1253.0070850000002 }, { "step": 15402, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8805272384910071, "F1": 0.8643667993513195, "Memory in Mb": 1.924330711364746, "Time in s": 1386.9590420000002 }, { "step": 16308, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8794382780401054, "F1": 0.8622670589883704, "Memory in Mb": 1.6739492416381836, "Time in s": 1526.6043270000002 }, { "step": 17214, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8781153779120432, "F1": 0.8583389601620527, "Memory in Mb": 2.050276756286621, "Time in s": 1671.5850450000005 }, { "step": 18120, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8772559192008389, "F1": 0.8570510348373829, "Memory in Mb": 2.0607213973999023, "Time in s": 1821.619573 }, { "step": 19026, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8782128777923784, "F1": 0.8564702967230379, "Memory in Mb": 1.4914274215698242, "Time in s": 1976.682617 }, { "step": 19932, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8703025437760273, "F1": 0.8482357776081723, "Memory in Mb": 0.7451009750366211, "Time in s": 2137.4066430000003 }, { "step": 20838, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8626001823679033, "F1": 0.8387314820030418, "Memory in Mb": 0.7786626815795898, "Time in s": 2303.79277 }, { "step": 21744, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8638642321666743, "F1": 0.8378259916721456, "Memory in Mb": 0.8927946090698242, "Time in s": 2475.479733 }, { "step": 22650, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8620689655172413, "F1": 0.8337590464027246, "Memory in Mb": 1.0149259567260742, "Time in s": 2652.48421 }, { "step": 23556, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8552748885586924, "F1": 0.8239789332369494, "Memory in Mb": 0.7698392868041992, "Time in s": 2835.224884 }, { "step": 24462, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8513143371080496, "F1": 0.8171902488062327, "Memory in Mb": 0.8274068832397461, "Time in s": 3023.118045 }, { "step": 25368, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8471242165017543, "F1": 0.8121670057153928, "Memory in Mb": 0.9264287948608398, "Time in s": 3216.225907 }, { "step": 26274, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8469912077037263, "F1": 0.8116213683223992, "Memory in Mb": 1.0318632125854492, "Time in s": 3414.151818 }, { "step": 27180, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8476397218440708, "F1": 0.8134600657687283, "Memory in Mb": 0.828364372253418, "Time in s": 3617.194246 }, { "step": 28086, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8442585009791703, "F1": 0.8083260297984224, "Memory in Mb": 0.9404935836791992, "Time in s": 3825.52125 }, { "step": 28992, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8416405091235211, "F1": 0.8035935828877006, "Memory in Mb": 0.932948112487793, "Time in s": 4039.267659 }, { "step": 29898, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8389804997156906, "F1": 0.7997670742866649, "Memory in Mb": 0.8770322799682617, "Time in s": 4258.308337 }, { "step": 30804, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8374508976398403, "F1": 0.7964054812344976, "Memory in Mb": 1.024897575378418, "Time in s": 4482.681616999999 }, { "step": 31710, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8326973414488, "F1": 0.7888725275599952, "Memory in Mb": 0.9494352340698242, "Time in s": 4711.951208999999 }, { "step": 32616, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.827318718381113, "F1": 0.7808219178082191, "Memory in Mb": 0.861109733581543, "Time in s": 4945.765051999999 }, { "step": 33522, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8271531278899794, "F1": 0.7806964420893262, "Memory in Mb": 1.093031883239746, "Time in s": 5184.141968999998 }, { "step": 34428, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8255439044935661, "F1": 0.7779174678302028, "Memory in Mb": 1.133570671081543, "Time in s": 5427.007607999998 }, { "step": 35334, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8253191067840263, "F1": 0.7766196163590301, "Memory in Mb": 1.1872129440307615, "Time in s": 5674.462564999998 }, { "step": 36240, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8264576837109192, "F1": 0.7764070110569915, "Memory in Mb": 1.431788444519043, "Time in s": 5926.318084999998 }, { "step": 37146, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8245255081437609, "F1": 0.7721616331096196, "Memory in Mb": 1.357222557067871, "Time in s": 6182.753490999998 }, { "step": 38052, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8241833328953247, "F1": 0.7704974271012006, "Memory in Mb": 1.1449995040893557, "Time in s": 6443.434381999998 }, { "step": 38958, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8233950252842878, "F1": 0.7698534823041413, "Memory in Mb": 1.147334098815918, "Time in s": 6708.424011999998 }, { "step": 39864, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8222160901086221, "F1": 0.7699250073044834, "Memory in Mb": 0.7468709945678711, "Time in s": 6977.570913999998 }, { "step": 40770, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8227329588658049, "F1": 0.7725140860587366, "Memory in Mb": 0.9336042404174804, "Time in s": 7251.011506999998 }, { "step": 41676, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8235872825434913, "F1": 0.7755388654820785, "Memory in Mb": 1.097620964050293, "Time in s": 7528.4976689999985 }, { "step": 42582, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8245696437378174, "F1": 0.7776785714285713, "Memory in Mb": 1.5453977584838867, "Time in s": 7809.843107999998 }, { "step": 43488, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8251431462276082, "F1": 0.7787605469886529, "Memory in Mb": 0.8941831588745117, "Time in s": 8094.859004999998 }, { "step": 44394, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8243867276372401, "F1": 0.7766701042740918, "Memory in Mb": 0.744959831237793, "Time in s": 8383.886548999999 }, { "step": 45300, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.823770944170953, "F1": 0.7766305716444221, "Memory in Mb": 0.5983161926269531, "Time in s": 8676.996437 }, { "step": 45312, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Elec2", "Accuracy": 0.8237734766392267, "F1": 0.7765871128395959, "Memory in Mb": 0.5984382629394531, "Time in s": 8970.151376 }, { "step": 25, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.7083333333333334, "F1": 0.7407407407407408, "Memory in Mb": 0.6633157730102539, "Time in s": 0.427424 }, { "step": 50, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8163265306122449, "F1": 0.8085106382978724, "Memory in Mb": 0.6639947891235352, "Time in s": 1.324595 }, { "step": 75, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8513513513513513, "F1": 0.8493150684931507, "Memory in Mb": 0.6639490127563477, "Time in s": 2.554164 }, { "step": 100, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8585858585858586, "F1": 0.8541666666666666, "Memory in Mb": 0.6645593643188477, "Time in s": 4.28613 }, { "step": 125, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8548387096774194, "F1": 0.85, "Memory in Mb": 0.6645593643188477, "Time in s": 6.454494 }, { "step": 150, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8523489932885906, "F1": 0.8533333333333335, "Memory in Mb": 0.6645593643188477, "Time in s": 8.992416 }, { "step": 175, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8620689655172413, "F1": 0.8536585365853658, "Memory in Mb": 0.6651926040649414, "Time in s": 11.94422 }, { "step": 200, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8592964824120602, "F1": 0.8510638297872339, "Memory in Mb": 0.6653299331665039, "Time in s": 15.477702 }, { "step": 225, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8526785714285714, "F1": 0.8405797101449276, "Memory in Mb": 0.7024993896484375, "Time in s": 19.458772 }, { "step": 250, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8473895582329317, "F1": 0.8347826086956521, "Memory in Mb": 0.730194091796875, "Time in s": 23.970287 }, { "step": 275, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8467153284671532, "F1": 0.8333333333333335, "Memory in Mb": 0.7302398681640625, "Time in s": 28.914006 }, { "step": 300, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8528428093645485, "F1": 0.837037037037037, "Memory in Mb": 0.7302398681640625, "Time in s": 34.304573 }, { "step": 325, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8611111111111112, "F1": 0.8421052631578947, "Memory in Mb": 0.7308502197265625, "Time in s": 40.225779 }, { "step": 350, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8653295128939829, "F1": 0.8438538205980067, "Memory in Mb": 0.7308731079101562, "Time in s": 46.580822 }, { "step": 375, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8663101604278075, "F1": 0.8427672955974843, "Memory in Mb": 0.7674179077148438, "Time in s": 53.398646 }, { "step": 400, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8671679197994987, "F1": 0.8417910447761194, "Memory in Mb": 0.804534912109375, "Time in s": 60.683253 }, { "step": 425, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8679245283018868, "F1": 0.839080459770115, "Memory in Mb": 0.8596954345703125, "Time in s": 68.459501 }, { "step": 450, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8708240534521158, "F1": 0.8406593406593408, "Memory in Mb": 0.8597640991210938, "Time in s": 76.689807 }, { "step": 475, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.869198312236287, "F1": 0.8402061855670103, "Memory in Mb": 0.859832763671875, "Time in s": 85.340536 }, { "step": 500, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8677354709418837, "F1": 0.8413461538461539, "Memory in Mb": 0.8598556518554688, "Time in s": 94.431883 }, { "step": 525, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8683206106870229, "F1": 0.8384074941451991, "Memory in Mb": 0.8598556518554688, "Time in s": 103.968058 }, { "step": 550, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8670309653916212, "F1": 0.8381374722838136, "Memory in Mb": 0.8599014282226562, "Time in s": 113.947374 }, { "step": 575, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.867595818815331, "F1": 0.8382978723404255, "Memory in Mb": 0.8599014282226562, "Time in s": 124.337957 }, { "step": 600, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8697829716193656, "F1": 0.8381742738589212, "Memory in Mb": 0.8599014282226562, "Time in s": 135.24069899999998 }, { "step": 625, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8717948717948718, "F1": 0.8373983739837398, "Memory in Mb": 0.8966064453125, "Time in s": 146.56138699999997 }, { "step": 650, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8767334360554699, "F1": 0.846153846153846, "Memory in Mb": 0.897308349609375, "Time in s": 158.32837399999997 }, { "step": 675, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8753709198813057, "F1": 0.8478260869565216, "Memory in Mb": 0.92486572265625, "Time in s": 170.52005599999995 }, { "step": 700, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8798283261802575, "F1": 0.8515901060070671, "Memory in Mb": 0.8633918762207031, "Time in s": 183.100014 }, { "step": 725, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8825966850828729, "F1": 0.8576214405360134, "Memory in Mb": 0.9612770080566406, "Time in s": 196.144193 }, { "step": 750, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8865153538050734, "F1": 0.8631239935587761, "Memory in Mb": 0.9975471496582032, "Time in s": 209.598306 }, { "step": 775, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8875968992248062, "F1": 0.863849765258216, "Memory in Mb": 1.052570343017578, "Time in s": 223.56015 }, { "step": 800, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8873591989987485, "F1": 0.8652694610778443, "Memory in Mb": 1.1531257629394531, "Time in s": 237.949979 }, { "step": 825, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8871359223300971, "F1": 0.8661870503597122, "Memory in Mb": 1.1537437438964844, "Time in s": 252.78040299999995 }, { "step": 850, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8881036513545347, "F1": 0.8671328671328671, "Memory in Mb": 1.1632118225097656, "Time in s": 267.983484 }, { "step": 875, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8901601830663616, "F1": 0.8688524590163934, "Memory in Mb": 1.1906776428222656, "Time in s": 283.604953 }, { "step": 900, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8887652947719689, "F1": 0.8670212765957446, "Memory in Mb": 1.2457008361816406, "Time in s": 299.652639 }, { "step": 925, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8896103896103896, "F1": 0.8695652173913043, "Memory in Mb": 1.2457923889160156, "Time in s": 316.05876399999994 }, { "step": 950, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8893572181243414, "F1": 0.8708487084870848, "Memory in Mb": 1.2458381652832031, "Time in s": 332.972637 }, { "step": 975, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8901437371663244, "F1": 0.8718562874251498, "Memory in Mb": 1.2458839416503906, "Time in s": 350.27117 }, { "step": 1000, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8878878878878879, "F1": 0.8697674418604652, "Memory in Mb": 1.2458610534667969, "Time in s": 368.008026 }, { "step": 1025, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8876953125, "F1": 0.8700564971751412, "Memory in Mb": 1.2459068298339844, "Time in s": 386.172169 }, { "step": 1050, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8894184938036225, "F1": 0.8725274725274725, "Memory in Mb": 1.2458839416503906, "Time in s": 404.74234 }, { "step": 1075, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8901303538175046, "F1": 0.8742004264392325, "Memory in Mb": 1.2458839416503906, "Time in s": 423.719952 }, { "step": 1100, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.89171974522293, "F1": 0.8761706555671176, "Memory in Mb": 1.2458839416503906, "Time in s": 443.13918 }, { "step": 1125, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8932384341637011, "F1": 0.8790322580645162, "Memory in Mb": 1.2458839416503906, "Time in s": 462.955181 }, { "step": 1150, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8938207136640557, "F1": 0.8794466403162056, "Memory in Mb": 1.2458839416503906, "Time in s": 483.090208 }, { "step": 1175, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8926746166950597, "F1": 0.877906976744186, "Memory in Mb": 1.2458839416503906, "Time in s": 503.748339 }, { "step": 1200, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8932443703085905, "F1": 0.8783269961977186, "Memory in Mb": 1.2550315856933594, "Time in s": 524.8299360000001 }, { "step": 1225, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8929738562091504, "F1": 0.8779123951537745, "Memory in Mb": 1.3099861145019531, "Time in s": 546.3067460000001 }, { "step": 1250, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "Phishing", "Accuracy": 0.8935148118494796, "F1": 0.8792007266121706, "Memory in Mb": 1.310077667236328, "Time in s": 568.2182720000001 }, { "step": 1903, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1599369049072265, "Time in s": 9.565839 }, { "step": 3806, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1605472564697265, "Time in s": 28.660555 }, { "step": 5709, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1610889434814453, "Time in s": 57.169533 }, { "step": 7612, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.161111831665039, "Time in s": 95.025921 }, { "step": 9515, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.161111831665039, "Time in s": 141.315828 }, { "step": 11418, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.161722183227539, "Time in s": 195.517174 }, { "step": 13321, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1617450714111328, "Time in s": 256.578558 }, { "step": 15224, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.2173633575439453, "Time in s": 324.084886 }, { "step": 17127, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.162454605102539, "Time in s": 398.342181 }, { "step": 19030, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.162271499633789, "Time in s": 479.30544 }, { "step": 20933, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.1629047393798828, "Time in s": 566.848605 }, { "step": 22836, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.1629962921142578, "Time in s": 660.867353 }, { "step": 24739, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.1631336212158203, "Time in s": 761.190417 }, { "step": 26642, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.1628131866455078, "Time in s": 867.1613560000001 }, { "step": 28545, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.1630420684814453, "Time in s": 978.380996 }, { "step": 30448, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.1629276275634765, "Time in s": 1094.7710920000002 }, { "step": 32351, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.163064956665039, "Time in s": 1216.3368180000002 }, { "step": 34254, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.162973403930664, "Time in s": 1342.8439390000003 }, { "step": 36157, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.162973403930664, "Time in s": 1474.4175280000004 }, { "step": 38060, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.1629962921142578, "Time in s": 1611.5765880000004 }, { "step": 39963, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.1628589630126953, "Time in s": 1753.4950250000004 }, { "step": 41866, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 1900.0594340000005 }, { "step": 43769, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.1636524200439453, "Time in s": 2051.0940990000004 }, { "step": 45672, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.1636295318603515, "Time in s": 2206.5822620000004 }, { "step": 47575, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 2366.582792 }, { "step": 49478, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.1516590118408203, "Time in s": 2531.0740060000003 }, { "step": 51381, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.163583755493164, "Time in s": 2700.0024150000004 }, { "step": 53284, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.163583755493164, "Time in s": 2873.4051700000005 }, { "step": 55187, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.1635379791259765, "Time in s": 3051.2280980000005 }, { "step": 57090, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 3233.6982610000005 }, { "step": 58993, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.1634693145751953, "Time in s": 3420.4241430000006 }, { "step": 60896, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.163400650024414, "Time in s": 3611.3532100000007 }, { "step": 62799, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 3806.5756970000007 }, { "step": 64702, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.1636524200439453, "Time in s": 4005.990633000001 }, { "step": 66605, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 4209.692892000001 }, { "step": 68508, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.1636066436767578, "Time in s": 4417.671552000001 }, { "step": 70411, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.1634464263916015, "Time in s": 4629.924287000001 }, { "step": 72314, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.1636066436767578, "Time in s": 4846.389066000001 }, { "step": 74217, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.1636066436767578, "Time in s": 5067.145737000001 }, { "step": 76120, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.1636524200439453, "Time in s": 5292.119512000001 }, { "step": 78023, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.1636524200439453, "Time in s": 5520.9977020000015 }, { "step": 79926, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.1633319854736328, "Time in s": 5753.467598000001 }, { "step": 81829, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.1635608673095703, "Time in s": 5989.673013000001 }, { "step": 83732, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.1642627716064453, "Time in s": 6229.466851000001 }, { "step": 85635, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.164285659790039, "Time in s": 6472.919364000001 }, { "step": 87538, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.164102554321289, "Time in s": 6719.889077000002 }, { "step": 89441, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.1641483306884765, "Time in s": 6970.567347000002 }, { "step": 91344, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.1640567779541015, "Time in s": 7224.925889000002 }, { "step": 93247, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.1523609161376953, "Time in s": 7483.091298000002 }, { "step": 95150, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.164194107055664, "Time in s": 7744.930013000002 }, { "step": 95156, "track": "Binary classification", "model": "ADWIN Bagging", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.1642169952392578, "Time in s": 8006.777295000002 }, { "step": 106, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5523809523809524, "F1": 0.5252525252525252, "Memory in Mb": 0.1663923263549804, "Time in s": 0.661448 }, { "step": 212, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5829383886255924, "F1": 0.5555555555555555, "Memory in Mb": 0.1665983200073242, "Time in s": 2.064295 }, { "step": 318, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6025236593059937, "F1": 0.5827814569536425, "Memory in Mb": 0.1666440963745117, "Time in s": 4.087538 }, { "step": 424, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6099290780141844, "F1": 0.5758354755784061, "Memory in Mb": 0.1666440963745117, "Time in s": 6.767182 }, { "step": 530, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5841209829867675, "F1": 0.5089285714285714, "Memory in Mb": 0.1665983200073242, "Time in s": 10.090322 }, { "step": 636, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5748031496062992, "F1": 0.4981412639405205, "Memory in Mb": 0.1666440963745117, "Time in s": 14.036758 }, { "step": 742, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.582995951417004, "F1": 0.4892561983471074, "Memory in Mb": 0.1665754318237304, "Time in s": 18.750104 }, { "step": 848, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5749704840613932, "F1": 0.4812680115273775, "Memory in Mb": 0.1665296554565429, "Time in s": 24.116907 }, { "step": 954, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5760755508919203, "F1": 0.482051282051282, "Memory in Mb": 0.1665296554565429, "Time in s": 30.255333 }, { "step": 1060, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5873465533522191, "F1": 0.4828402366863905, "Memory in Mb": 0.1665296554565429, "Time in s": 37.077733 }, { "step": 1166, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5931330472103005, "F1": 0.4925053533190577, "Memory in Mb": 0.1665754318237304, "Time in s": 44.554975 }, { "step": 1272, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.5979543666404405, "F1": 0.5034013605442177, "Memory in Mb": 0.1665754318237304, "Time in s": 52.671883 }, { "step": 1378, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6005809731299927, "F1": 0.4990892531876139, "Memory in Mb": 0.1665754318237304, "Time in s": 61.596702 }, { "step": 1484, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6089008766014835, "F1": 0.5117845117845117, "Memory in Mb": 0.1665754318237304, "Time in s": 71.17423 }, { "step": 1590, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6091881686595343, "F1": 0.5121759622937941, "Memory in Mb": 0.1665754318237304, "Time in s": 81.390284 }, { "step": 1696, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6135693215339233, "F1": 0.5194424064563462, "Memory in Mb": 0.1665754318237304, "Time in s": 92.365155 }, { "step": 1802, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6185452526374237, "F1": 0.5354969574036511, "Memory in Mb": 0.1665754318237304, "Time in s": 104.03539999999998 }, { "step": 1908, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6208704771893025, "F1": 0.5467084639498432, "Memory in Mb": 0.1665983200073242, "Time in s": 116.33010199999998 }, { "step": 2014, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.620963735717834, "F1": 0.5561372891215823, "Memory in Mb": 0.1666212081909179, "Time in s": 129.40978099999998 }, { "step": 2120, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6252949504483247, "F1": 0.56941431670282, "Memory in Mb": 0.1666212081909179, "Time in s": 143.16628799999998 }, { "step": 2226, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6242696629213483, "F1": 0.5721596724667348, "Memory in Mb": 0.1666440963745117, "Time in s": 157.57341499999998 }, { "step": 2332, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6229086229086229, "F1": 0.5763855421686748, "Memory in Mb": 0.1666440963745117, "Time in s": 172.619666 }, { "step": 2438, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.62330734509643, "F1": 0.5796703296703297, "Memory in Mb": 0.1666440963745117, "Time in s": 188.342899 }, { "step": 2544, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6244593000393236, "F1": 0.5860424794104898, "Memory in Mb": 0.1666440963745117, "Time in s": 204.771397 }, { "step": 2650, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6266515666289165, "F1": 0.591828312009905, "Memory in Mb": 0.1666898727416992, "Time in s": 221.901573 }, { "step": 2756, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6250453720508167, "F1": 0.5921831819976313, "Memory in Mb": 0.1666898727416992, "Time in s": 239.674138 }, { "step": 2862, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6249563089828731, "F1": 0.5927893738140417, "Memory in Mb": 0.1666898727416992, "Time in s": 258.142834 }, { "step": 2968, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6248736097067745, "F1": 0.5924569754668619, "Memory in Mb": 0.1666898727416992, "Time in s": 277.299077 }, { "step": 3074, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6260982753010088, "F1": 0.5958494548012664, "Memory in Mb": 0.1666898727416992, "Time in s": 297.096451 }, { "step": 3180, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.62378106322743, "F1": 0.5934738273283481, "Memory in Mb": 0.1541042327880859, "Time in s": 317.58276 }, { "step": 3286, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6246575342465753, "F1": 0.5937397034596376, "Memory in Mb": 0.1971263885498047, "Time in s": 338.83455200000003 }, { "step": 3392, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6234149218519611, "F1": 0.5931825422108953, "Memory in Mb": 0.2317180633544922, "Time in s": 360.725819 }, { "step": 3498, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6211038032599371, "F1": 0.5894019212891229, "Memory in Mb": 0.2662029266357422, "Time in s": 383.343908 }, { "step": 3604, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6194837635303914, "F1": 0.5866747060596926, "Memory in Mb": 0.3123226165771484, "Time in s": 406.679113 }, { "step": 3710, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6238878403882449, "F1": 0.5915080527086384, "Memory in Mb": 0.3201503753662109, "Time in s": 430.743987 }, { "step": 3816, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6277850589777195, "F1": 0.5970488081725313, "Memory in Mb": 0.3261775970458984, "Time in s": 455.494794 }, { "step": 3922, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6322366743177761, "F1": 0.6009961261759823, "Memory in Mb": 0.3539028167724609, "Time in s": 480.941019 }, { "step": 4028, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6354606406754407, "F1": 0.6034575904916262, "Memory in Mb": 0.3679637908935547, "Time in s": 507.154231 }, { "step": 4134, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6399709654004355, "F1": 0.6073878627968339, "Memory in Mb": 0.3758831024169922, "Time in s": 534.089651 }, { "step": 4240, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.644963434772352, "F1": 0.6130110568269478, "Memory in Mb": 0.3759059906005859, "Time in s": 561.67777 }, { "step": 4346, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6508630609896433, "F1": 0.6185567010309279, "Memory in Mb": 0.3759288787841797, "Time in s": 589.949243 }, { "step": 4452, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6535609975286453, "F1": 0.620384047267356, "Memory in Mb": 0.3758831024169922, "Time in s": 618.987429 }, { "step": 4558, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6570111915734036, "F1": 0.6243691420331651, "Memory in Mb": 0.3760662078857422, "Time in s": 648.691271 }, { "step": 4664, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6607334334119666, "F1": 0.6288127639605818, "Memory in Mb": 0.3761119842529297, "Time in s": 679.16585 }, { "step": 4770, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6630320821975257, "F1": 0.6303197607545433, "Memory in Mb": 0.4315700531005859, "Time in s": 710.3587739999999 }, { "step": 4876, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6670769230769231, "F1": 0.6330544879041374, "Memory in Mb": 0.4394893646240234, "Time in s": 742.192598 }, { "step": 4982, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6707488456133307, "F1": 0.6378091872791519, "Memory in Mb": 0.4457454681396484, "Time in s": 774.746403 }, { "step": 5088, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6734814232356988, "F1": 0.6407094959982694, "Memory in Mb": 0.4518642425537109, "Time in s": 807.9427459999999 }, { "step": 5194, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.674369343346813, "F1": 0.6412051771695311, "Memory in Mb": 0.4518413543701172, "Time in s": 841.965614 }, { "step": 5300, "track": "Binary classification", "model": "AdaBoost", "dataset": "Bananas", "Accuracy": 0.6778637478769579, "F1": 0.64504054897068, "Memory in Mb": 0.4531536102294922, "Time in s": 876.7139659999999 }, { "step": 906, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9337016574585636, "F1": 0.933184855233853, "Memory in Mb": 1.423478126525879, "Time in s": 13.145088 }, { "step": 1812, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9491993373826616, "F1": 0.937837837837838, "Memory in Mb": 2.051041603088379, "Time in s": 36.742593 }, { "step": 2718, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9385351490614648, "F1": 0.9243316719528772, "Memory in Mb": 2.3655481338500977, "Time in s": 75.07794200000001 }, { "step": 3624, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9359646701628483, "F1": 0.920980926430518, "Memory in Mb": 2.6522607803344727, "Time in s": 124.641449 }, { "step": 4530, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9361890041951866, "F1": 0.9185226952354102, "Memory in Mb": 3.339066505432129, "Time in s": 184.399421 }, { "step": 5436, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9332106715731372, "F1": 0.914487632508834, "Memory in Mb": 3.582810401916504, "Time in s": 253.628197 }, { "step": 6342, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9309257214950324, "F1": 0.9124350259896042, "Memory in Mb": 3.74349308013916, "Time in s": 332.298993 }, { "step": 7248, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9232785980405686, "F1": 0.9024903542616626, "Memory in Mb": 3.99596118927002, "Time in s": 420.603134 }, { "step": 8154, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9207653624432725, "F1": 0.9042962962962964, "Memory in Mb": 4.062603950500488, "Time in s": 517.241068 }, { "step": 9060, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9214041284910034, "F1": 0.9072191816523326, "Memory in Mb": 4.2443437576293945, "Time in s": 621.271616 }, { "step": 9966, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9173105870546914, "F1": 0.9037158214536104, "Memory in Mb": 4.387467384338379, "Time in s": 732.039898 }, { "step": 10872, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.916842976727072, "F1": 0.9044195390145908, "Memory in Mb": 4.416756629943848, "Time in s": 849.200167 }, { "step": 11778, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9150887322747728, "F1": 0.9024580569644948, "Memory in Mb": 4.712822914123535, "Time in s": 973.870605 }, { "step": 12684, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9128755026413308, "F1": 0.9002077124537162, "Memory in Mb": 5.243111610412598, "Time in s": 1105.403187 }, { "step": 13590, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9123555817205092, "F1": 0.900890405259216, "Memory in Mb": 5.419106483459473, "Time in s": 1243.898383 }, { "step": 14496, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9112107623318386, "F1": 0.9002402914502752, "Memory in Mb": 5.619416236877441, "Time in s": 1388.762519 }, { "step": 15402, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9125381468735796, "F1": 0.9014414282578476, "Memory in Mb": 5.888123512268066, "Time in s": 1539.2398159999998 }, { "step": 16308, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9096093702091128, "F1": 0.8977808599167822, "Memory in Mb": 6.072480201721191, "Time in s": 1695.9498239999998 }, { "step": 17214, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9093708243769244, "F1": 0.8958611481975968, "Memory in Mb": 6.119706153869629, "Time in s": 1858.647702 }, { "step": 18120, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9071140791434406, "F1": 0.892972972972973, "Memory in Mb": 6.420571327209473, "Time in s": 2027.885605 }, { "step": 19026, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.907910643889619, "F1": 0.8927784577723377, "Memory in Mb": 6.732544898986816, "Time in s": 2202.439499 }, { "step": 19932, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9079323666649942, "F1": 0.8936540133294696, "Memory in Mb": 6.836274147033691, "Time in s": 2383.16175 }, { "step": 20838, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9073283102174018, "F1": 0.8931673582295988, "Memory in Mb": 7.145352363586426, "Time in s": 2570.030805 }, { "step": 21744, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9069585613760752, "F1": 0.8912424063222407, "Memory in Mb": 7.368103981018066, "Time in s": 2762.468029 }, { "step": 22650, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9053379840169544, "F1": 0.8884611382790553, "Memory in Mb": 7.513260841369629, "Time in s": 2961.014701 }, { "step": 23556, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9031203566121844, "F1": 0.885441767068273, "Memory in Mb": 7.7879228591918945, "Time in s": 3165.900418 }, { "step": 24462, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.9015984628592452, "F1": 0.8830361047669955, "Memory in Mb": 7.954785346984863, "Time in s": 3377.578704 }, { "step": 25368, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8990026412267907, "F1": 0.8799775133514476, "Memory in Mb": 8.00295352935791, "Time in s": 3596.265534 }, { "step": 26274, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8993263045712329, "F1": 0.8800942925789926, "Memory in Mb": 8.124005317687988, "Time in s": 3821.215918 }, { "step": 27180, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8986717686449097, "F1": 0.8798324461122262, "Memory in Mb": 8.133870124816895, "Time in s": 4052.049016 }, { "step": 28086, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8958874844222895, "F1": 0.8761436801084379, "Memory in Mb": 8.60555362701416, "Time in s": 4289.013778 }, { "step": 28992, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8951398709944466, "F1": 0.8747011787981206, "Memory in Mb": 8.944867134094238, "Time in s": 4531.544758 }, { "step": 29898, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8927986085560424, "F1": 0.8719485396939551, "Memory in Mb": 9.235833168029783, "Time in s": 4780.469894 }, { "step": 30804, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8921533616855502, "F1": 0.8705882352941176, "Memory in Mb": 9.317421913146973, "Time in s": 5034.96976 }, { "step": 31710, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8903465892964143, "F1": 0.8684499262229957, "Memory in Mb": 9.565300941467283, "Time in s": 5295.565511 }, { "step": 32616, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8890387858347386, "F1": 0.867226767435888, "Memory in Mb": 9.898663520812988, "Time in s": 5561.886477999999 }, { "step": 33522, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8882789892902956, "F1": 0.8666547979348406, "Memory in Mb": 10.141366004943848, "Time in s": 5833.648399 }, { "step": 34428, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8878496528887211, "F1": 0.8660444783679699, "Memory in Mb": 10.462204933166504, "Time in s": 6110.893153 }, { "step": 35334, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8864800611326522, "F1": 0.8639185750636134, "Memory in Mb": 10.841256141662598, "Time in s": 6393.894783 }, { "step": 36240, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8857584370429648, "F1": 0.8622387861040862, "Memory in Mb": 11.13858127593994, "Time in s": 6682.129445 }, { "step": 37146, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8846412706959214, "F1": 0.8604643589827087, "Memory in Mb": 11.587563514709473, "Time in s": 6975.521303 }, { "step": 38052, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.883682426217445, "F1": 0.8588377878420617, "Memory in Mb": 12.028901100158691, "Time in s": 7273.546291 }, { "step": 38958, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8819210924865878, "F1": 0.8569117830036083, "Memory in Mb": 12.1774263381958, "Time in s": 7576.403824 }, { "step": 39864, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.880741539773725, "F1": 0.8567122792211707, "Memory in Mb": 12.330445289611816, "Time in s": 7883.760394 }, { "step": 40770, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.880423851455763, "F1": 0.8574603081781235, "Memory in Mb": 12.583298683166504, "Time in s": 8195.49812 }, { "step": 41676, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8811517696460708, "F1": 0.8591977712710009, "Memory in Mb": 12.884881019592283, "Time in s": 8511.394385 }, { "step": 42582, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8815199267278834, "F1": 0.8597403319525146, "Memory in Mb": 13.200516700744627, "Time in s": 8831.520838 }, { "step": 43488, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8809069377055212, "F1": 0.8591399896646449, "Memory in Mb": 13.322876930236816, "Time in s": 9156.403803 }, { "step": 44394, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.880476651724371, "F1": 0.8583404527979496, "Memory in Mb": 13.499638557434082, "Time in s": 9485.877502 }, { "step": 45300, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8805713150400671, "F1": 0.8587024655244463, "Memory in Mb": 13.542492866516112, "Time in s": 9819.626928 }, { "step": 45312, "track": "Binary classification", "model": "AdaBoost", "dataset": "Elec2", "Accuracy": 0.8805808744013595, "F1": 0.8586874200203704, "Memory in Mb": 13.542401313781738, "Time in s": 10153.705154 }, { "step": 25, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.6666666666666666, "F1": 0.7142857142857143, "Memory in Mb": 0.6517477035522461, "Time in s": 0.344782 }, { "step": 50, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.7551020408163265, "F1": 0.7391304347826088, "Memory in Mb": 0.6519079208374023, "Time in s": 1.052047 }, { "step": 75, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.7972972972972973, "F1": 0.7945205479452055, "Memory in Mb": 0.6519308090209961, "Time in s": 2.04852 }, { "step": 100, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8080808080808081, "F1": 0.7999999999999999, "Memory in Mb": 0.6519536972045898, "Time in s": 3.481699 }, { "step": 125, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8064516129032258, "F1": 0.8000000000000002, "Memory in Mb": 0.6519804000854492, "Time in s": 5.345952 }, { "step": 150, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8187919463087249, "F1": 0.8211920529801323, "Memory in Mb": 0.6519804000854492, "Time in s": 7.607799 }, { "step": 175, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8390804597701149, "F1": 0.8313253012048192, "Memory in Mb": 0.6519804000854492, "Time in s": 10.226605 }, { "step": 200, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8341708542713567, "F1": 0.8253968253968254, "Memory in Mb": 0.6889629364013672, "Time in s": 13.384675 }, { "step": 225, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8303571428571429, "F1": 0.8173076923076923, "Memory in Mb": 0.6891918182373047, "Time in s": 16.995274 }, { "step": 250, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8273092369477911, "F1": 0.8154506437768241, "Memory in Mb": 0.6892147064208984, "Time in s": 21.029962 }, { "step": 275, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8321167883211679, "F1": 0.8188976377952757, "Memory in Mb": 0.6892833709716797, "Time in s": 25.500591 }, { "step": 300, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8394648829431438, "F1": 0.823529411764706, "Memory in Mb": 0.6893062591552734, "Time in s": 30.459705 }, { "step": 325, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.845679012345679, "F1": 0.8263888888888888, "Memory in Mb": 0.6893062591552734, "Time in s": 35.865097 }, { "step": 350, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8510028653295129, "F1": 0.8289473684210527, "Memory in Mb": 0.6893062591552734, "Time in s": 41.618205 }, { "step": 375, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8502673796791443, "F1": 0.8260869565217391, "Memory in Mb": 0.6892795562744141, "Time in s": 47.877466 }, { "step": 400, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.849624060150376, "F1": 0.8235294117647061, "Memory in Mb": 0.6893062591552734, "Time in s": 54.483198 }, { "step": 425, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8561320754716981, "F1": 0.8271954674220963, "Memory in Mb": 0.6893062591552734, "Time in s": 61.544972 }, { "step": 450, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8530066815144766, "F1": 0.8225806451612903, "Memory in Mb": 0.6893062591552734, "Time in s": 69.002264 }, { "step": 475, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8523206751054853, "F1": 0.8241206030150755, "Memory in Mb": 0.6893062591552734, "Time in s": 77.051638 }, { "step": 500, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8557114228456913, "F1": 0.8317757009345793, "Memory in Mb": 0.6893062591552734, "Time in s": 85.50066 }, { "step": 525, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8530534351145038, "F1": 0.8253968253968255, "Memory in Mb": 0.6893062591552734, "Time in s": 94.362743 }, { "step": 550, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8579234972677595, "F1": 0.832618025751073, "Memory in Mb": 0.6893062591552734, "Time in s": 103.688841 }, { "step": 575, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8588850174216028, "F1": 0.8336755646817249, "Memory in Mb": 0.6893062591552734, "Time in s": 113.608321 }, { "step": 600, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8631051752921536, "F1": 0.8360000000000001, "Memory in Mb": 0.6893062591552734, "Time in s": 123.905415 }, { "step": 625, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8621794871794872, "F1": 0.83203125, "Memory in Mb": 0.6893062591552734, "Time in s": 134.725616 }, { "step": 650, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8659476117103235, "F1": 0.8391866913123845, "Memory in Mb": 0.6893291473388672, "Time in s": 146.008333 }, { "step": 675, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8679525222551929, "F1": 0.8446771378708552, "Memory in Mb": 0.6893291473388672, "Time in s": 157.728693 }, { "step": 700, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8726752503576538, "F1": 0.848381601362862, "Memory in Mb": 0.6893291473388672, "Time in s": 169.816185 }, { "step": 725, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8756906077348067, "F1": 0.8543689320388349, "Memory in Mb": 0.6893291473388672, "Time in s": 182.229315 }, { "step": 750, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.87716955941255, "F1": 0.8566978193146417, "Memory in Mb": 0.6893291473388672, "Time in s": 195.113196 }, { "step": 775, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8785529715762274, "F1": 0.8575757575757577, "Memory in Mb": 0.6893291473388672, "Time in s": 208.501766 }, { "step": 800, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8785982478097623, "F1": 0.8592162554426704, "Memory in Mb": 0.7275295257568359, "Time in s": 222.496546 }, { "step": 825, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8798543689320388, "F1": 0.8619246861924686, "Memory in Mb": 0.7627391815185547, "Time in s": 236.948041 }, { "step": 850, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8798586572438163, "F1": 0.8614130434782608, "Memory in Mb": 0.7627849578857422, "Time in s": 251.813013 }, { "step": 875, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8787185354691075, "F1": 0.8594164456233422, "Memory in Mb": 0.7628536224365234, "Time in s": 267.105354 }, { "step": 900, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8787541713014461, "F1": 0.8589909443725743, "Memory in Mb": 0.7628765106201172, "Time in s": 282.965748 }, { "step": 925, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8809523809523809, "F1": 0.8628428927680798, "Memory in Mb": 0.7628765106201172, "Time in s": 299.167544 }, { "step": 950, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8798735511064278, "F1": 0.8629807692307693, "Memory in Mb": 0.7628765106201172, "Time in s": 315.934336 }, { "step": 975, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8819301848049281, "F1": 0.8651817116060961, "Memory in Mb": 0.7628765106201172, "Time in s": 333.021735 }, { "step": 1000, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8828828828828829, "F1": 0.8662857142857143, "Memory in Mb": 0.7645549774169922, "Time in s": 350.749086 }, { "step": 1025, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8828125, "F1": 0.8666666666666666, "Memory in Mb": 0.8362636566162109, "Time in s": 368.847305 }, { "step": 1050, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8846520495710201, "F1": 0.8691891891891892, "Memory in Mb": 0.8363094329833984, "Time in s": 387.397742 }, { "step": 1075, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8836126629422719, "F1": 0.8691099476439791, "Memory in Mb": 0.8378963470458984, "Time in s": 406.476047 }, { "step": 1100, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8844404003639672, "F1": 0.8702757916241062, "Memory in Mb": 0.8380107879638672, "Time in s": 425.926155 }, { "step": 1125, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8861209964412812, "F1": 0.8732673267326733, "Memory in Mb": 0.8731288909912109, "Time in s": 445.763528 }, { "step": 1150, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8842471714534378, "F1": 0.8707482993197277, "Memory in Mb": 0.8731517791748047, "Time in s": 466.112685 }, { "step": 1175, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8816013628620102, "F1": 0.8677450047573739, "Memory in Mb": 0.8732662200927734, "Time in s": 487.01292 }, { "step": 1200, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8798999165971643, "F1": 0.8654205607476635, "Memory in Mb": 0.8732662200927734, "Time in s": 508.389566 }, { "step": 1225, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.880718954248366, "F1": 0.8660550458715598, "Memory in Mb": 0.8732891082763672, "Time in s": 530.180451 }, { "step": 1250, "track": "Binary classification", "model": "AdaBoost", "dataset": "Phishing", "Accuracy": 0.8783026421136909, "F1": 0.8635547576301617, "Memory in Mb": 0.8733119964599609, "Time in s": 552.608585 }, { "step": 1903, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.14459228515625, "Time in s": 4.671696 }, { "step": 3806, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1446609497070312, "Time in s": 14.150102 }, { "step": 5709, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1446151733398437, "Time in s": 28.360088 }, { "step": 7612, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1446380615234375, "Time in s": 47.155736000000005 }, { "step": 9515, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1446380615234375, "Time in s": 70.60316700000001 }, { "step": 11418, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1446151733398437, "Time in s": 98.660415 }, { "step": 13321, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.144683837890625, "Time in s": 131.464682 }, { "step": 15224, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9996715496288512, "F1": 0.761904761904762, "Memory in Mb": 0.3174581527709961, "Time in s": 185.699411 }, { "step": 17127, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9997080462454748, "F1": 0.8, "Memory in Mb": 0.3083944320678711, "Time in s": 248.358611 }, { "step": 19030, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9997372431551842, "F1": 0.8, "Memory in Mb": 0.3005514144897461, "Time in s": 315.58373 }, { "step": 20933, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9997611312822472, "F1": 0.8, "Memory in Mb": 0.2926855087280273, "Time in s": 387.343573 }, { "step": 22836, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9997810378804468, "F1": 0.8, "Memory in Mb": 0.2926855087280273, "Time in s": 463.526447 }, { "step": 24739, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9997978818012774, "F1": 0.8, "Memory in Mb": 0.2926855087280273, "Time in s": 544.0157879999999 }, { "step": 26642, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998123193573816, "F1": 0.8148148148148148, "Memory in Mb": 0.3579168319702148, "Time in s": 629.1407149999999 }, { "step": 28545, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998248318385652, "F1": 0.8148148148148148, "Memory in Mb": 0.3579168319702148, "Time in s": 718.5008859999999 }, { "step": 30448, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998357802082308, "F1": 0.8148148148148148, "Memory in Mb": 0.3579168319702148, "Time in s": 812.0251739999999 }, { "step": 32351, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998454404945905, "F1": 0.8148148148148148, "Memory in Mb": 0.3579626083374023, "Time in s": 909.687376 }, { "step": 34254, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998540273844628, "F1": 0.8148148148148148, "Memory in Mb": 0.3579854965209961, "Time in s": 1011.417335 }, { "step": 36157, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.999861710366191, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1116.7962549999995 }, { "step": 38060, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998686250295594, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1225.6397989999998 }, { "step": 39963, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998748811370802, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1337.9609139999998 }, { "step": 41866, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998805684939688, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1453.6581889999998 }, { "step": 43769, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998857612867847, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1572.7472669999995 }, { "step": 45672, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998905213373912, "F1": 0.8148148148148148, "Memory in Mb": 0.3580083847045898, "Time in s": 1695.2891979999995 }, { "step": 47575, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998738806911338, "F1": 0.7857142857142857, "Memory in Mb": 0.3903570175170898, "Time in s": 1822.117106 }, { "step": 49478, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998787315318228, "F1": 0.7857142857142857, "Memory in Mb": 0.3928442001342773, "Time in s": 1952.439332 }, { "step": 51381, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998637602179836, "F1": 0.787878787878788, "Memory in Mb": 0.4802007675170898, "Time in s": 2088.556257 }, { "step": 53284, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998686260158024, "F1": 0.787878787878788, "Memory in Mb": 0.4802465438842773, "Time in s": 2228.050331 }, { "step": 55187, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9998550356974596, "F1": 0.7647058823529411, "Memory in Mb": 0.5258626937866211, "Time in s": 2371.062704 }, { "step": 57090, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.999281823118289, "F1": 0.4383561643835616, "Memory in Mb": 0.8453359603881836, "Time in s": 2524.551865 }, { "step": 58993, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993049905071876, "F1": 0.4383561643835616, "Memory in Mb": 0.8887395858764648, "Time in s": 2681.973264 }, { "step": 60896, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993267099105017, "F1": 0.4383561643835616, "Memory in Mb": 0.8967199325561523, "Time in s": 2843.114587 }, { "step": 62799, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993152648173508, "F1": 0.4266666666666667, "Memory in Mb": 1.0689306259155271, "Time in s": 3009.18915 }, { "step": 64702, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993354043986956, "F1": 0.4266666666666667, "Memory in Mb": 1.0783147811889648, "Time in s": 3178.956821 }, { "step": 66605, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993393790162752, "F1": 0.4210526315789473, "Memory in Mb": 1.0915288925170898, "Time in s": 3352.423608 }, { "step": 68508, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993577298670208, "F1": 0.45, "Memory in Mb": 1.0735387802124023, "Time in s": 3530.715962 }, { "step": 70411, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993750887658004, "F1": 0.45, "Memory in Mb": 1.0788640975952148, "Time in s": 3712.739099 }, { "step": 72314, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9993915340256938, "F1": 0.45, "Memory in Mb": 1.0906057357788086, "Time in s": 3898.148799 }, { "step": 74217, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994071359275628, "F1": 0.45, "Memory in Mb": 1.0906057357788086, "Time in s": 4086.957815 }, { "step": 76120, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.99942195772409, "F1": 0.45, "Memory in Mb": 1.090651512145996, "Time in s": 4279.139143 }, { "step": 78023, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994232395990874, "F1": 0.4444444444444444, "Memory in Mb": 1.1481237411499023, "Time in s": 4474.636732 }, { "step": 79926, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994369721614011, "F1": 0.4444444444444444, "Memory in Mb": 1.1493444442749023, "Time in s": 4673.509203 }, { "step": 81829, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.999450065992081, "F1": 0.4444444444444444, "Memory in Mb": 1.1612462997436523, "Time in s": 4875.758715 }, { "step": 83732, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994625646415306, "F1": 0.4444444444444444, "Memory in Mb": 1.161269187927246, "Time in s": 5081.435613 }, { "step": 85635, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994745077889624, "F1": 0.4444444444444444, "Memory in Mb": 1.1612234115600586, "Time in s": 5290.523743 }, { "step": 87538, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994859316631824, "F1": 0.4444444444444444, "Memory in Mb": 1.1584348678588867, "Time in s": 5502.994331999999 }, { "step": 89441, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.999463327370304, "F1": 0.4285714285714285, "Memory in Mb": 1.2966947555541992, "Time in s": 5719.643149 }, { "step": 91344, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994745081724928, "F1": 0.4285714285714285, "Memory in Mb": 1.3124494552612305, "Time in s": 5939.715090999999 }, { "step": 93247, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994316110074428, "F1": 0.4044943820224719, "Memory in Mb": 1.3362340927124023, "Time in s": 6163.415711999999 }, { "step": 95150, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994429789067673, "F1": 0.4044943820224719, "Memory in Mb": 1.3363256454467771, "Time in s": 6390.433574999999 }, { "step": 95156, "track": "Binary classification", "model": "AdaBoost", "dataset": "SMTP", "Accuracy": 0.9994430140297408, "F1": 0.4044943820224719, "Memory in Mb": 1.3363256454467771, "Time in s": 6617.502892999999 }, { "step": 106, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.4857142857142857, "F1": 0.4599999999999999, "Memory in Mb": 0.2237319946289062, "Time in s": 0.813651 }, { "step": 212, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5165876777251185, "F1": 0.4574468085106383, "Memory in Mb": 0.2245254516601562, "Time in s": 2.392298 }, { "step": 318, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5205047318611987, "F1": 0.4722222222222222, "Memory in Mb": 0.2251434326171875, "Time in s": 4.879886 }, { "step": 424, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5460992907801419, "F1": 0.4838709677419355, "Memory in Mb": 0.225250244140625, "Time in s": 8.257922 }, { "step": 530, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.55765595463138, "F1": 0.455813953488372, "Memory in Mb": 0.2252731323242187, "Time in s": 12.416081000000002 }, { "step": 636, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5543307086614173, "F1": 0.4259634888438134, "Memory in Mb": 0.2257461547851562, "Time in s": 17.551695000000002 }, { "step": 742, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5748987854251012, "F1": 0.4220183486238532, "Memory in Mb": 0.2259750366210937, "Time in s": 23.418389 }, { "step": 848, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5785123966942148, "F1": 0.4232633279483037, "Memory in Mb": 0.2259063720703125, "Time in s": 30.181971 }, { "step": 954, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5844700944386149, "F1": 0.4193548387096774, "Memory in Mb": 0.2258834838867187, "Time in s": 37.806045 }, { "step": 1060, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5920679886685553, "F1": 0.4146341463414634, "Memory in Mb": 0.2256393432617187, "Time in s": 46.336236 }, { "step": 1166, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.590557939914163, "F1": 0.4015056461731493, "Memory in Mb": 0.225738525390625, "Time in s": 55.794626 }, { "step": 1272, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5971675845790716, "F1": 0.4101382488479262, "Memory in Mb": 0.226043701171875, "Time in s": 66.093431 }, { "step": 1378, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.599128540305011, "F1": 0.3973799126637554, "Memory in Mb": 0.226348876953125, "Time in s": 77.304266 }, { "step": 1484, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5994605529332434, "F1": 0.3926380368098159, "Memory in Mb": 0.2263031005859375, "Time in s": 89.41731899999999 }, { "step": 1590, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5997482693517936, "F1": 0.3896353166986563, "Memory in Mb": 0.2262802124023437, "Time in s": 102.388462 }, { "step": 1696, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6011799410029498, "F1": 0.3876811594202898, "Memory in Mb": 0.2263412475585937, "Time in s": 116.266249 }, { "step": 1802, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6013325930038868, "F1": 0.3904923599320882, "Memory in Mb": 0.2263641357421875, "Time in s": 130.90050499999998 }, { "step": 1908, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6030414263240692, "F1": 0.396812749003984, "Memory in Mb": 0.2263641357421875, "Time in s": 146.406164 }, { "step": 2014, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5986090412319921, "F1": 0.3961136023916292, "Memory in Mb": 0.2263641357421875, "Time in s": 162.81699799999998 }, { "step": 2120, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5969797074091553, "F1": 0.3994374120956399, "Memory in Mb": 0.2263641357421875, "Time in s": 180.02605599999998 }, { "step": 2226, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.597752808988764, "F1": 0.4013377926421405, "Memory in Mb": 0.226318359375, "Time in s": 198.114263 }, { "step": 2332, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5988845988845989, "F1": 0.4033184428844926, "Memory in Mb": 0.22637939453125, "Time in s": 217.043548 }, { "step": 2438, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5995075913007797, "F1": 0.4019607843137255, "Memory in Mb": 0.2264022827148437, "Time in s": 236.778245 }, { "step": 2544, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6008651199370821, "F1": 0.4088526499708794, "Memory in Mb": 0.2267684936523437, "Time in s": 257.426783 }, { "step": 2650, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6002265005662514, "F1": 0.4073866815892558, "Memory in Mb": 0.2269744873046875, "Time in s": 278.871455 }, { "step": 2756, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5985480943738657, "F1": 0.4028077753779697, "Memory in Mb": 0.2269744873046875, "Time in s": 301.18545300000005 }, { "step": 2862, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.599790283117791, "F1": 0.4051948051948052, "Memory in Mb": 0.2269744873046875, "Time in s": 324.33878000000004 }, { "step": 2968, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.599932591843613, "F1": 0.4026170105686965, "Memory in Mb": 0.2269973754882812, "Time in s": 348.42370100000005 }, { "step": 3074, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5977871786527823, "F1": 0.4023210831721469, "Memory in Mb": 0.2269973754882812, "Time in s": 373.346007 }, { "step": 3180, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5986159169550173, "F1": 0.4042950513538749, "Memory in Mb": 0.2269973754882812, "Time in s": 399.176002 }, { "step": 3286, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5981735159817352, "F1": 0.4021739130434782, "Memory in Mb": 0.2248907089233398, "Time in s": 425.805579 }, { "step": 3392, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.5959893836626364, "F1": 0.4022687609075043, "Memory in Mb": 0.2988729476928711, "Time in s": 453.430877 }, { "step": 3498, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.597369173577352, "F1": 0.4023769100169779, "Memory in Mb": 0.3531064987182617, "Time in s": 482.040674 }, { "step": 3604, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6008881487649181, "F1": 0.4087171052631579, "Memory in Mb": 0.3826017379760742, "Time in s": 511.8008850000001 }, { "step": 3710, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6012402264761392, "F1": 0.4086365453818472, "Memory in Mb": 0.4367246627807617, "Time in s": 542.835536 }, { "step": 3816, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6023591087811271, "F1": 0.4104158569762923, "Memory in Mb": 0.4704160690307617, "Time in s": 575.071901 }, { "step": 3922, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6052027543993879, "F1": 0.4145234493192133, "Memory in Mb": 0.5176496505737305, "Time in s": 608.725741 }, { "step": 4028, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.608393344921778, "F1": 0.4195804195804196, "Memory in Mb": 0.5480222702026367, "Time in s": 643.745138 }, { "step": 4134, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6121461408178079, "F1": 0.4260651629072682, "Memory in Mb": 0.5632429122924805, "Time in s": 680.30634 }, { "step": 4240, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6157112526539278, "F1": 0.4329968673860076, "Memory in Mb": 0.5676107406616211, "Time in s": 718.216367 }, { "step": 4346, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6193325661680092, "F1": 0.438560760353021, "Memory in Mb": 0.5822668075561523, "Time in s": 757.397991 }, { "step": 4452, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6218827229835991, "F1": 0.4421610871726881, "Memory in Mb": 0.5884695053100586, "Time in s": 797.943115 }, { "step": 4558, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6219003730524468, "F1": 0.4429356611703847, "Memory in Mb": 0.6275625228881836, "Time in s": 839.803567 }, { "step": 4664, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.623203945957538, "F1": 0.4455664247396655, "Memory in Mb": 0.6328649520874023, "Time in s": 883.024854 }, { "step": 4770, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6250786328370728, "F1": 0.446096654275093, "Memory in Mb": 0.6821584701538086, "Time in s": 927.682473 }, { "step": 4876, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6266666666666667, "F1": 0.4468085106382978, "Memory in Mb": 0.6950826644897461, "Time in s": 973.720669 }, { "step": 4982, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.629592451314997, "F1": 0.4530091906314853, "Memory in Mb": 0.7119512557983398, "Time in s": 1021.080455 }, { "step": 5088, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6298407705917043, "F1": 0.4527753560011624, "Memory in Mb": 0.6960439682006836, "Time in s": 1069.7402539999998 }, { "step": 5194, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6321971885230118, "F1": 0.456459874786568, "Memory in Mb": 0.6964941024780273, "Time in s": 1119.6924109999998 }, { "step": 5300, "track": "Binary classification", "model": "Bagging", "dataset": "Bananas", "Accuracy": 0.6340819022457067, "F1": 0.4594368553108447, "Memory in Mb": 0.7031240463256836, "Time in s": 1170.8531239999998 }, { "step": 906, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8629834254143647, "F1": 0.8663793103448276, "Memory in Mb": 1.7490100860595703, "Time in s": 16.056337 }, { "step": 1812, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8890115958034235, "F1": 0.8680236375574525, "Memory in Mb": 2.496591567993164, "Time in s": 50.652304 }, { "step": 2718, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.87523003312477, "F1": 0.8521587440034889, "Memory in Mb": 1.8562908172607424, "Time in s": 106.697102 }, { "step": 3624, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8868341153739995, "F1": 0.8653972422849641, "Memory in Mb": 2.5584278106689453, "Time in s": 176.150463 }, { "step": 4530, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8880547582247736, "F1": 0.8593619972260749, "Memory in Mb": 3.1707210540771484, "Time in s": 258.677392 }, { "step": 5436, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8829806807727691, "F1": 0.8518863530507685, "Memory in Mb": 2.113290786743164, "Time in s": 353.604927 }, { "step": 6342, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8814067181832519, "F1": 0.8497802636835796, "Memory in Mb": 2.472631454467773, "Time in s": 459.993548 }, { "step": 7248, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.883262039464606, "F1": 0.8516310066643283, "Memory in Mb": 2.354246139526367, "Time in s": 576.649537 }, { "step": 8154, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8828652029927634, "F1": 0.8585394756332394, "Memory in Mb": 2.1453304290771484, "Time in s": 702.348431 }, { "step": 9060, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8839827795562424, "F1": 0.8639129871811472, "Memory in Mb": 2.1982364654541016, "Time in s": 836.637311 }, { "step": 9966, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.880983442047165, "F1": 0.8635840809753854, "Memory in Mb": 2.4484920501708984, "Time in s": 979.832141 }, { "step": 10872, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.881151687977187, "F1": 0.8654446990210373, "Memory in Mb": 2.578580856323242, "Time in s": 1131.438926 }, { "step": 11778, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8799354674365288, "F1": 0.8634344214796214, "Memory in Mb": 2.730459213256836, "Time in s": 1291.261447 }, { "step": 12684, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8768430182133564, "F1": 0.8601361031518624, "Memory in Mb": 2.090116500854492, "Time in s": 1459.3451100000002 }, { "step": 13590, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8789462064905438, "F1": 0.8639483913654784, "Memory in Mb": 1.877275466918945, "Time in s": 1635.065473 }, { "step": 14496, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.878854777509486, "F1": 0.86444341516134, "Memory in Mb": 2.105062484741211, "Time in s": 1818.351758 }, { "step": 15402, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8775404194532822, "F1": 0.86187197890728, "Memory in Mb": 2.440736770629883, "Time in s": 2009.388651 }, { "step": 16308, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8765560802109523, "F1": 0.8599262403451395, "Memory in Mb": 2.627225875854492, "Time in s": 2209.910977 }, { "step": 17214, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8758496485214663, "F1": 0.8567214213878646, "Memory in Mb": 2.5119991302490234, "Time in s": 2419.733571 }, { "step": 18120, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8760969148407749, "F1": 0.8567600331780769, "Memory in Mb": 2.716485977172852, "Time in s": 2638.279319 }, { "step": 19026, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8772141918528252, "F1": 0.8562284588872477, "Memory in Mb": 3.019651412963867, "Time in s": 2865.7383750000004 }, { "step": 19932, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8739651798705534, "F1": 0.8535106134826219, "Memory in Mb": 2.721925735473633, "Time in s": 3103.6766270000003 }, { "step": 20838, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8716225944233815, "F1": 0.8503663925714606, "Memory in Mb": 2.4018421173095703, "Time in s": 3351.3122810000004 }, { "step": 21744, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.872556684910086, "F1": 0.8492300995701616, "Memory in Mb": 2.248655319213867, "Time in s": 3607.2754260000006 }, { "step": 22650, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.870722769217184, "F1": 0.845275840202917, "Memory in Mb": 2.611169815063477, "Time in s": 3871.072358000001 }, { "step": 23556, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8645722776480578, "F1": 0.8365611230658879, "Memory in Mb": 1.8957767486572263, "Time in s": 4144.250301000001 }, { "step": 24462, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8614120436613385, "F1": 0.8315276811450154, "Memory in Mb": 1.5607776641845703, "Time in s": 4424.237452000001 }, { "step": 25368, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8560334292584855, "F1": 0.8249113050148624, "Memory in Mb": 1.3715801239013672, "Time in s": 4711.1951020000015 }, { "step": 26274, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8558596277547292, "F1": 0.824277295717136, "Memory in Mb": 1.611249923706055, "Time in s": 5004.571280000002 }, { "step": 27180, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8564332756907906, "F1": 0.8258035714285713, "Memory in Mb": 2.025979995727539, "Time in s": 5304.465246000002 }, { "step": 28086, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8535517179989318, "F1": 0.8215385950449082, "Memory in Mb": 1.848848342895508, "Time in s": 5611.580754000001 }, { "step": 28992, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8515746266082578, "F1": 0.8178624338624338, "Memory in Mb": 2.0671520233154297, "Time in s": 5927.3319900000015 }, { "step": 29898, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.849048399504967, "F1": 0.8140885684860969, "Memory in Mb": 1.3224430084228516, "Time in s": 6250.652578000001 }, { "step": 30804, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8473849949680226, "F1": 0.8106344410876132, "Memory in Mb": 1.549489974975586, "Time in s": 6580.126329000001 }, { "step": 31710, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8429783342268756, "F1": 0.8039377830281552, "Memory in Mb": 1.5209712982177734, "Time in s": 6916.182134000001 }, { "step": 32616, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8411773723746743, "F1": 0.8020785572367416, "Memory in Mb": 1.995222091674805, "Time in s": 7258.669481000001 }, { "step": 33522, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8415023418155783, "F1": 0.8033751526590429, "Memory in Mb": 1.8286800384521484, "Time in s": 7608.320925000001 }, { "step": 34428, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.839689778371627, "F1": 0.8006357692446627, "Memory in Mb": 2.242650985717773, "Time in s": 7966.087012000001 }, { "step": 35334, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8395550901423598, "F1": 0.7993487417265422, "Memory in Mb": 2.1107349395751958, "Time in s": 8331.986249000001 }, { "step": 36240, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8400618118601507, "F1": 0.7984280447937677, "Memory in Mb": 1.8943347930908203, "Time in s": 8703.460619000001 }, { "step": 37146, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.839278503163279, "F1": 0.796356938190749, "Memory in Mb": 1.3389415740966797, "Time in s": 9080.992051 }, { "step": 38052, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8389267036345956, "F1": 0.7946940006029546, "Memory in Mb": 1.607133865356445, "Time in s": 9463.837927 }, { "step": 38958, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8382832353620658, "F1": 0.7942655607079877, "Memory in Mb": 1.8687000274658203, "Time in s": 9853.704286 }, { "step": 39864, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8387477109098663, "F1": 0.7967495098969203, "Memory in Mb": 1.466756820678711, "Time in s": 10249.501094 }, { "step": 40770, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8400009811376291, "F1": 0.8001225677953119, "Memory in Mb": 2.0175647735595703, "Time in s": 10651.197686 }, { "step": 41676, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8407918416316736, "F1": 0.8026413635146792, "Memory in Mb": 2.1117191314697266, "Time in s": 11058.632461 }, { "step": 42582, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8411732932528593, "F1": 0.8035781708344224, "Memory in Mb": 2.033967971801758, "Time in s": 11470.822587 }, { "step": 43488, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8416538275806563, "F1": 0.804308286915994, "Memory in Mb": 1.7070560455322266, "Time in s": 11887.700533 }, { "step": 44394, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8406280269411844, "F1": 0.8019483246087955, "Memory in Mb": 2.28169059753418, "Time in s": 12309.209906 }, { "step": 45300, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8404379787633282, "F1": 0.802124397722295, "Memory in Mb": 2.2888126373291016, "Time in s": 12736.77001 }, { "step": 45312, "track": "Binary classification", "model": "Bagging", "dataset": "Elec2", "Accuracy": 0.8404360971949416, "F1": 0.8020804817957842, "Memory in Mb": 2.2889575958251958, "Time in s": 13164.474026 }, { "step": 25, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.7083333333333334, "F1": 0.7407407407407408, "Memory in Mb": 0.7072525024414062, "Time in s": 0.45657 }, { "step": 50, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8163265306122449, "F1": 0.8085106382978724, "Memory in Mb": 0.7079315185546875, "Time in s": 1.426682 }, { "step": 75, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8513513513513513, "F1": 0.8493150684931507, "Memory in Mb": 0.708251953125, "Time in s": 2.873238 }, { "step": 100, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8585858585858586, "F1": 0.8541666666666666, "Memory in Mb": 0.70849609375, "Time in s": 4.790442 }, { "step": 125, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8548387096774194, "F1": 0.85, "Memory in Mb": 0.70849609375, "Time in s": 7.239611999999999 }, { "step": 150, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8523489932885906, "F1": 0.8533333333333335, "Memory in Mb": 0.708740234375, "Time in s": 10.202642999999998 }, { "step": 175, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8620689655172413, "F1": 0.8536585365853658, "Memory in Mb": 0.7091293334960938, "Time in s": 13.59528 }, { "step": 200, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8592964824120602, "F1": 0.8510638297872339, "Memory in Mb": 0.7092666625976562, "Time in s": 17.527801 }, { "step": 225, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8526785714285714, "F1": 0.8405797101449276, "Memory in Mb": 0.7491827011108398, "Time in s": 22.029145 }, { "step": 250, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8473895582329317, "F1": 0.8347826086956521, "Memory in Mb": 0.7771825790405273, "Time in s": 27.026807 }, { "step": 275, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8467153284671532, "F1": 0.8333333333333335, "Memory in Mb": 0.7774114608764648, "Time in s": 32.501577 }, { "step": 300, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8528428093645485, "F1": 0.837037037037037, "Memory in Mb": 0.7775945663452148, "Time in s": 38.42215899999999 }, { "step": 325, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8611111111111112, "F1": 0.8421052631578947, "Memory in Mb": 0.7779607772827148, "Time in s": 44.92146699999999 }, { "step": 350, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8653295128939829, "F1": 0.8438538205980067, "Memory in Mb": 0.7781057357788086, "Time in s": 51.897795 }, { "step": 375, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8663101604278075, "F1": 0.8427672955974843, "Memory in Mb": 0.8172750473022461, "Time in s": 59.36314 }, { "step": 400, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8671679197994987, "F1": 0.8417910447761194, "Memory in Mb": 0.8571996688842773, "Time in s": 67.416022 }, { "step": 425, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8679245283018868, "F1": 0.839080459770115, "Memory in Mb": 0.9128484725952148, "Time in s": 76.017673 }, { "step": 450, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8708240534521158, "F1": 0.8406593406593408, "Memory in Mb": 0.913100242614746, "Time in s": 85.092057 }, { "step": 475, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.869198312236287, "F1": 0.8402061855670103, "Memory in Mb": 0.9133520126342772, "Time in s": 94.603797 }, { "step": 500, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8677354709418837, "F1": 0.8413461538461539, "Memory in Mb": 0.9135580062866212, "Time in s": 104.609638 }, { "step": 525, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8683206106870229, "F1": 0.8384074941451991, "Memory in Mb": 0.9136190414428712, "Time in s": 115.080656 }, { "step": 550, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8670309653916212, "F1": 0.8381374722838136, "Memory in Mb": 0.9137258529663086, "Time in s": 126.050962 }, { "step": 575, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.867595818815331, "F1": 0.8382978723404255, "Memory in Mb": 0.9137868881225586, "Time in s": 137.397676 }, { "step": 600, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8697829716193656, "F1": 0.8381742738589212, "Memory in Mb": 0.9139089584350586, "Time in s": 149.31562 }, { "step": 625, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8717948717948718, "F1": 0.8373983739837398, "Memory in Mb": 0.9536046981811525, "Time in s": 161.695664 }, { "step": 650, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8767334360554699, "F1": 0.846153846153846, "Memory in Mb": 0.9540624618530272, "Time in s": 174.565593 }, { "step": 675, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8753709198813057, "F1": 0.8478260869565216, "Memory in Mb": 0.9818639755249025, "Time in s": 187.898512 }, { "step": 700, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8798283261802575, "F1": 0.8515901060070671, "Memory in Mb": 0.9230222702026368, "Time in s": 201.735875 }, { "step": 725, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8825966850828729, "F1": 0.8576214405360134, "Memory in Mb": 1.021204948425293, "Time in s": 216.085388 }, { "step": 750, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8865153538050734, "F1": 0.8631239935587761, "Memory in Mb": 1.0604047775268557, "Time in s": 230.90612 }, { "step": 775, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8875968992248062, "F1": 0.863849765258216, "Memory in Mb": 1.1157331466674805, "Time in s": 246.307883 }, { "step": 800, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8873591989987485, "F1": 0.8652694610778443, "Memory in Mb": 1.2215375900268557, "Time in s": 262.241262 }, { "step": 825, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8871359223300971, "F1": 0.8661870503597122, "Memory in Mb": 1.2229490280151367, "Time in s": 278.553882 }, { "step": 850, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8881036513545347, "F1": 0.8671328671328671, "Memory in Mb": 1.235407829284668, "Time in s": 295.406724 }, { "step": 875, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8901601830663616, "F1": 0.8688524590163934, "Memory in Mb": 1.263422966003418, "Time in s": 312.749904 }, { "step": 900, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8887652947719689, "F1": 0.8670212765957446, "Memory in Mb": 1.318751335144043, "Time in s": 330.632511 }, { "step": 925, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8896103896103896, "F1": 0.8695652173913043, "Memory in Mb": 1.318964958190918, "Time in s": 348.945693 }, { "step": 950, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8893572181243414, "F1": 0.8708487084870848, "Memory in Mb": 1.3194990158081057, "Time in s": 367.701988 }, { "step": 975, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8901437371663244, "F1": 0.8718562874251498, "Memory in Mb": 1.319605827331543, "Time in s": 386.96933700000005 }, { "step": 1000, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8878878878878879, "F1": 0.8697674418604652, "Memory in Mb": 1.3197660446166992, "Time in s": 406.7503420000001 }, { "step": 1025, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8876953125, "F1": 0.8700564971751412, "Memory in Mb": 1.3200559616088867, "Time in s": 426.99481600000007 }, { "step": 1050, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8894184938036225, "F1": 0.8725274725274725, "Memory in Mb": 1.320155143737793, "Time in s": 447.8295280000001 }, { "step": 1075, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8901303538175046, "F1": 0.8742004264392325, "Memory in Mb": 1.320277214050293, "Time in s": 469.1965740000001 }, { "step": 1100, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.89171974522293, "F1": 0.8761706555671176, "Memory in Mb": 1.320643424987793, "Time in s": 491.1150510000001 }, { "step": 1125, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8932384341637011, "F1": 0.8790322580645162, "Memory in Mb": 1.320704460144043, "Time in s": 513.5552500000001 }, { "step": 1150, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8938207136640557, "F1": 0.8794466403162056, "Memory in Mb": 1.320704460144043, "Time in s": 536.4428780000001 }, { "step": 1175, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8926746166950597, "F1": 0.877906976744186, "Memory in Mb": 1.320765495300293, "Time in s": 559.8515450000001 }, { "step": 1200, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8932443703085905, "F1": 0.8783269961977186, "Memory in Mb": 1.3328428268432615, "Time in s": 583.8125340000001 }, { "step": 1225, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8929738562091504, "F1": 0.8779123951537745, "Memory in Mb": 1.3880414962768557, "Time in s": 608.2234330000001 }, { "step": 1250, "track": "Binary classification", "model": "Bagging", "dataset": "Phishing", "Accuracy": 0.8935148118494796, "F1": 0.8792007266121706, "Memory in Mb": 1.3882551193237305, "Time in s": 633.1359570000001 }, { "step": 1903, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2038736343383789, "Time in s": 10.878823 }, { "step": 3806, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2044839859008789, "Time in s": 32.501535000000004 }, { "step": 5709, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2050256729125976, "Time in s": 64.818606 }, { "step": 7612, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2050485610961914, "Time in s": 107.076722 }, { "step": 9515, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2050485610961914, "Time in s": 158.807432 }, { "step": 11418, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2056589126586914, "Time in s": 218.4459 }, { "step": 13321, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.2056818008422851, "Time in s": 285.193275 }, { "step": 15224, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 0.2613000869750976, "Time in s": 359.039643 }, { "step": 17127, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 0.2063913345336914, "Time in s": 440.617697 }, { "step": 19030, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 0.2062082290649414, "Time in s": 529.79805 }, { "step": 20933, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 0.2068414688110351, "Time in s": 626.4074929999999 }, { "step": 22836, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 0.2069330215454101, "Time in s": 729.8228539999999 }, { "step": 24739, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 0.2070703506469726, "Time in s": 839.3276679999999 }, { "step": 26642, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 0.2067499160766601, "Time in s": 954.865641 }, { "step": 28545, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 0.2069787979125976, "Time in s": 1076.4115539999998 }, { "step": 30448, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 0.2068643569946289, "Time in s": 1203.4939569999997 }, { "step": 32351, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 0.2070016860961914, "Time in s": 1337.1471509999997 }, { "step": 34254, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 0.2069101333618164, "Time in s": 1476.3596139999995 }, { "step": 36157, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 0.2069101333618164, "Time in s": 1621.0863639999998 }, { "step": 38060, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 0.2069330215454101, "Time in s": 1771.0710339999998 }, { "step": 39963, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 0.2067956924438476, "Time in s": 1926.306088 }, { "step": 41866, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 0.2074975967407226, "Time in s": 2086.761849 }, { "step": 43769, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 0.2069787979125976, "Time in s": 2252.424258 }, { "step": 45672, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 0.2072610855102539, "Time in s": 2423.176177 }, { "step": 47575, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 0.2072534561157226, "Time in s": 2599.130792 }, { "step": 49478, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 0.1954126358032226, "Time in s": 2780.435567 }, { "step": 51381, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 0.2073373794555664, "Time in s": 2966.651736 }, { "step": 53284, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 0.2073373794555664, "Time in s": 3157.874809 }, { "step": 55187, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 0.2073526382446289, "Time in s": 3353.943675 }, { "step": 57090, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 0.2070703506469726, "Time in s": 3555.07983 }, { "step": 58993, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 0.2070398330688476, "Time in s": 3761.219357 }, { "step": 60896, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 0.2070322036743164, "Time in s": 3972.252634 }, { "step": 62799, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 0.2071924209594726, "Time in s": 4188.261246 }, { "step": 64702, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 0.2073450088500976, "Time in s": 4409.191759 }, { "step": 66605, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 0.2073144912719726, "Time in s": 4634.878548000001 }, { "step": 68508, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 0.2073602676391601, "Time in s": 4864.934707 }, { "step": 70411, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 0.2072000503540039, "Time in s": 5099.2875650000005 }, { "step": 72314, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 0.2073602676391601, "Time in s": 5337.886074000001 }, { "step": 74217, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 0.2073602676391601, "Time in s": 5580.709613000001 }, { "step": 76120, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 0.2074670791625976, "Time in s": 5827.7179830000005 }, { "step": 78023, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 0.2074670791625976, "Time in s": 6079.015463000001 }, { "step": 79926, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 0.2071466445922851, "Time in s": 6334.716663000001 }, { "step": 81829, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 0.2075586318969726, "Time in s": 6594.692589000001 }, { "step": 83732, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 0.2079553604125976, "Time in s": 6858.666542000001 }, { "step": 85635, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 0.2080392837524414, "Time in s": 7126.604303000001 }, { "step": 87538, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 0.2078561782836914, "Time in s": 7398.595214000001 }, { "step": 89441, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 0.2079019546508789, "Time in s": 7674.616155000001 }, { "step": 91344, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 0.2078104019165039, "Time in s": 7954.656032000001 }, { "step": 93247, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 0.1961145401000976, "Time in s": 8238.690655 }, { "step": 95150, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 0.2079477310180664, "Time in s": 8526.751857000001 }, { "step": 95156, "track": "Binary classification", "model": "Bagging", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 0.2079706192016601, "Time in s": 8814.843001000001 }, { "step": 106, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5142857142857142, "F1": 0.4516129032258064, "Memory in Mb": 0.1802501678466797, "Time in s": 1.958268 }, { "step": 212, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5402843601895735, "F1": 0.4756756756756757, "Memory in Mb": 0.1808605194091797, "Time in s": 6.1304110000000005 }, { "step": 318, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5394321766561514, "F1": 0.4930555555555555, "Memory in Mb": 0.1814937591552734, "Time in s": 12.559627 }, { "step": 424, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5531914893617021, "F1": 0.4932975871313673, "Memory in Mb": 0.1814708709716797, "Time in s": 21.158430000000003 }, { "step": 530, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5614366729678639, "F1": 0.4703196347031963, "Memory in Mb": 0.1814708709716797, "Time in s": 31.954501 }, { "step": 636, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5763779527559055, "F1": 0.4836852207293666, "Memory in Mb": 0.4110956192016601, "Time in s": 45.100937 }, { "step": 742, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.5991902834008097, "F1": 0.4940374787052811, "Memory in Mb": 0.5197267532348633, "Time in s": 60.647662 }, { "step": 848, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6210153482880756, "F1": 0.5201793721973094, "Memory in Mb": 0.6145830154418945, "Time in s": 78.646382 }, { "step": 954, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6411332633788038, "F1": 0.5464190981432361, "Memory in Mb": 0.681065559387207, "Time in s": 99.167462 }, { "step": 1060, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6515580736543909, "F1": 0.555956678700361, "Memory in Mb": 0.7228097915649414, "Time in s": 122.156435 }, { "step": 1166, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6626609442060086, "F1": 0.5732899022801302, "Memory in Mb": 0.8111352920532227, "Time in s": 147.677601 }, { "step": 1272, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6766325727773407, "F1": 0.5958702064896755, "Memory in Mb": 0.8519144058227539, "Time in s": 175.66982000000002 }, { "step": 1378, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6877269426289034, "F1": 0.6062271062271062, "Memory in Mb": 0.9361848831176758, "Time in s": 206.112203 }, { "step": 1484, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.6999325691166555, "F1": 0.6238377007607777, "Memory in Mb": 0.978398323059082, "Time in s": 239.08437400000005 }, { "step": 1590, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7073631214600378, "F1": 0.6375681995323461, "Memory in Mb": 1.0816278457641602, "Time in s": 274.51056400000004 }, { "step": 1696, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7162241887905605, "F1": 0.6496722505462491, "Memory in Mb": 1.146012306213379, "Time in s": 312.20930000000004 }, { "step": 1802, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7262631871182677, "F1": 0.6662153012863914, "Memory in Mb": 1.231095314025879, "Time in s": 352.32891700000005 }, { "step": 1908, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7320398531725223, "F1": 0.677602523659306, "Memory in Mb": 1.3021745681762695, "Time in s": 394.808348 }, { "step": 2014, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7391952309985097, "F1": 0.6902654867256638, "Memory in Mb": 1.3571443557739258, "Time in s": 439.684188 }, { "step": 2120, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7456347333647947, "F1": 0.7020453289110005, "Memory in Mb": 1.439896583557129, "Time in s": 486.825513 }, { "step": 2226, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.750561797752809, "F1": 0.7080483955812729, "Memory in Mb": 1.4615755081176758, "Time in s": 536.150148 }, { "step": 2332, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7554697554697555, "F1": 0.715, "Memory in Mb": 1.4801912307739258, "Time in s": 587.578093 }, { "step": 2438, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7599507591300779, "F1": 0.7202295552367289, "Memory in Mb": 1.5264062881469729, "Time in s": 641.095023 }, { "step": 2544, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7624852536374361, "F1": 0.7257039055404179, "Memory in Mb": 1.5866899490356443, "Time in s": 696.665992 }, { "step": 2650, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7678369195922989, "F1": 0.7331887201735358, "Memory in Mb": 1.6338167190551758, "Time in s": 754.18395 }, { "step": 2756, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7731397459165155, "F1": 0.7396917950853811, "Memory in Mb": 1.718327522277832, "Time in s": 813.521765 }, { "step": 2862, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.777350576721426, "F1": 0.7440739252711932, "Memory in Mb": 1.7761125564575195, "Time in s": 874.768076 }, { "step": 2968, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7812605325244355, "F1": 0.7479611650485437, "Memory in Mb": 1.876938819885254, "Time in s": 937.838653 }, { "step": 3074, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7845753335502766, "F1": 0.7526158445440957, "Memory in Mb": 1.974156379699707, "Time in s": 1002.618853 }, { "step": 3180, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7892418999685435, "F1": 0.7572463768115942, "Memory in Mb": 2.007943153381348, "Time in s": 1069.033932 }, { "step": 3286, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7923896499238965, "F1": 0.7605337078651686, "Memory in Mb": 2.0704050064086914, "Time in s": 1137.092928 }, { "step": 3392, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7938661161899144, "F1": 0.7636117686844774, "Memory in Mb": 2.141594886779785, "Time in s": 1206.880705 }, { "step": 3498, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7966828710323134, "F1": 0.7657331136738056, "Memory in Mb": 2.2472352981567383, "Time in s": 1278.374701 }, { "step": 3604, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.7998889814043852, "F1": 0.7685393258426965, "Memory in Mb": 2.2915468215942383, "Time in s": 1351.505796 }, { "step": 3710, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8021029927204099, "F1": 0.7717661691542288, "Memory in Mb": 2.3504953384399414, "Time in s": 1426.3168569999998 }, { "step": 3816, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8055045871559633, "F1": 0.7761013880506941, "Memory in Mb": 2.397225379943848, "Time in s": 1502.8248519999995 }, { "step": 3922, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8071920428462127, "F1": 0.7776470588235294, "Memory in Mb": 2.4447336196899414, "Time in s": 1580.9903339999996 }, { "step": 4028, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8085423392103303, "F1": 0.7788930312589618, "Memory in Mb": 2.513848304748535, "Time in s": 1660.8236829999996 }, { "step": 4134, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8107911928381321, "F1": 0.7816862088218872, "Memory in Mb": 2.6076173782348637, "Time in s": 1742.3313809999995 }, { "step": 4240, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8136352913422977, "F1": 0.7852093529091897, "Memory in Mb": 2.653599739074707, "Time in s": 1825.5059619999995 }, { "step": 4346, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8161104718066743, "F1": 0.7881198621055423, "Memory in Mb": 2.711110115051269, "Time in s": 1910.383718 }, { "step": 4452, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8173444169849472, "F1": 0.7894327894327894, "Memory in Mb": 2.7411813735961914, "Time in s": 1996.892937 }, { "step": 4558, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8183015141540487, "F1": 0.7910146390711761, "Memory in Mb": 2.7629594802856445, "Time in s": 2085.0686209999994 }, { "step": 4664, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8205018228608192, "F1": 0.7941971969510695, "Memory in Mb": 2.818455696105957, "Time in s": 2174.887267 }, { "step": 4770, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8209268190396309, "F1": 0.7942168674698795, "Memory in Mb": 2.852097511291504, "Time in s": 2266.3018959999995 }, { "step": 4876, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.822974358974359, "F1": 0.795932844644124, "Memory in Mb": 2.940415382385254, "Time in s": 2359.381272 }, { "step": 4982, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.825135514956836, "F1": 0.7990772779700116, "Memory in Mb": 2.986912727355957, "Time in s": 2454.120045 }, { "step": 5088, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.825437389424022, "F1": 0.7995485327313769, "Memory in Mb": 3.072648048400879, "Time in s": 2550.44047 }, { "step": 5194, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8266897746967071, "F1": 0.8008849557522125, "Memory in Mb": 3.1882104873657227, "Time in s": 2648.361542 }, { "step": 5300, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Bananas", "Accuracy": 0.8282694848084544, "F1": 0.8026886383347789, "Memory in Mb": 3.2357072830200195, "Time in s": 2747.950666 }, { "step": 906, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8895027624309392, "F1": 0.8873873873873873, "Memory in Mb": 2.537948608398437, "Time in s": 35.61841 }, { "step": 1812, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9127553837658752, "F1": 0.8941018766756033, "Memory in Mb": 3.267250061035156, "Time in s": 98.669065 }, { "step": 2718, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9013617960986382, "F1": 0.8815207780725023, "Memory in Mb": 2.908538818359375, "Time in s": 185.051304 }, { "step": 3624, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.905051062655258, "F1": 0.8859416445623343, "Memory in Mb": 4.239933013916016, "Time in s": 291.140366 }, { "step": 4530, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9059395009935968, "F1": 0.8829026937877955, "Memory in Mb": 4.5028228759765625, "Time in s": 414.050546 }, { "step": 5436, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.904691812327507, "F1": 0.8806451612903227, "Memory in Mb": 5.411556243896484, "Time in s": 555.0527619999999 }, { "step": 6342, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.904746885349314, "F1": 0.8810086682427108, "Memory in Mb": 3.64324951171875, "Time in s": 712.2276919999999 }, { "step": 7248, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9038222712846696, "F1": 0.8793908980792524, "Memory in Mb": 4.176555633544922, "Time in s": 885.4512659999999 }, { "step": 8154, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9062921623942108, "F1": 0.8879107981220656, "Memory in Mb": 4.873016357421875, "Time in s": 1073.942042 }, { "step": 9060, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.907384921072966, "F1": 0.8915600361897376, "Memory in Mb": 6.068294525146484, "Time in s": 1277.3056459999998 }, { "step": 9966, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9066733567486202, "F1": 0.8924855491329481, "Memory in Mb": 5.883171081542969, "Time in s": 1496.0059789999998 }, { "step": 10872, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9090240088308345, "F1": 0.8966238110170377, "Memory in Mb": 7.123630523681641, "Time in s": 1728.5474849999998 }, { "step": 11778, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.908805298463106, "F1": 0.8963720571208027, "Memory in Mb": 4.904956817626953, "Time in s": 1974.076492 }, { "step": 12684, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9071197666167312, "F1": 0.8948214285714287, "Memory in Mb": 4.745685577392578, "Time in s": 2233.08693 }, { "step": 13590, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.908234601515932, "F1": 0.8972732515034187, "Memory in Mb": 5.919612884521484, "Time in s": 2504.250556 }, { "step": 14496, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9082442221455674, "F1": 0.8976293103448276, "Memory in Mb": 4.272552490234375, "Time in s": 2787.365554 }, { "step": 15402, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9089669501980392, "F1": 0.8979027090008739, "Memory in Mb": 4.651363372802734, "Time in s": 3081.637323 }, { "step": 16308, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9085668731219722, "F1": 0.8971653217463273, "Memory in Mb": 5.967304229736328, "Time in s": 3386.795808 }, { "step": 17214, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9075698599895428, "F1": 0.8943488943488943, "Memory in Mb": 5.553913116455078, "Time in s": 3703.059282 }, { "step": 18120, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9077211766653788, "F1": 0.8943911066195048, "Memory in Mb": 7.001399993896484, "Time in s": 4030.541025 }, { "step": 19026, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9078580814717476, "F1": 0.8932854446947099, "Memory in Mb": 7.953182220458984, "Time in s": 4368.505934999999 }, { "step": 19932, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9081832321509208, "F1": 0.8944636678200691, "Memory in Mb": 8.54180908203125, "Time in s": 4717.761576999999 }, { "step": 20838, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9064644622546432, "F1": 0.8926111631494847, "Memory in Mb": 7.284095764160156, "Time in s": 5078.966551999999 }, { "step": 21744, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9064066596145886, "F1": 0.8909840895698291, "Memory in Mb": 8.78485107421875, "Time in s": 5451.144687999999 }, { "step": 22650, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9054704401960352, "F1": 0.8890386110391294, "Memory in Mb": 9.895774841308594, "Time in s": 5834.807108999999 }, { "step": 23556, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9032052642751008, "F1": 0.8860113988601139, "Memory in Mb": 9.921958923339844, "Time in s": 6231.782156999999 }, { "step": 24462, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.9009443604104492, "F1": 0.8825098191339766, "Memory in Mb": 6.414276123046875, "Time in s": 6640.471452999998 }, { "step": 25368, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8975046320022076, "F1": 0.87847059923343, "Memory in Mb": 7.025360107421875, "Time in s": 7059.615553999998 }, { "step": 26274, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8978418909146272, "F1": 0.878705712219812, "Memory in Mb": 8.249675750732422, "Time in s": 7487.941528999998 }, { "step": 27180, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8983038375216159, "F1": 0.879888753693725, "Memory in Mb": 7.590415954589844, "Time in s": 7924.652190999998 }, { "step": 28086, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8965640021363718, "F1": 0.8772448763997466, "Memory in Mb": 7.862815856933594, "Time in s": 8369.790676999999 }, { "step": 28992, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8963126487530613, "F1": 0.8762962962962964, "Memory in Mb": 9.08489990234375, "Time in s": 8823.391086 }, { "step": 29898, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8952403251162324, "F1": 0.8748901493968203, "Memory in Mb": 2.6490402221679688, "Time in s": 9284.744377 }, { "step": 30804, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8947505113138331, "F1": 0.8736357966947302, "Memory in Mb": 3.22769546508789, "Time in s": 9752.904185 }, { "step": 31710, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8935948784256835, "F1": 0.8721291594027135, "Memory in Mb": 3.8703384399414062, "Time in s": 10228.075712 }, { "step": 32616, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8929940211559099, "F1": 0.8717194736455194, "Memory in Mb": 4.073085784912109, "Time in s": 10710.354293 }, { "step": 33522, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8932311088571343, "F1": 0.872338148742643, "Memory in Mb": 4.776435852050781, "Time in s": 11199.826533 }, { "step": 34428, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8924390739826299, "F1": 0.8711865585974188, "Memory in Mb": 4.868198394775391, "Time in s": 11696.46579 }, { "step": 35334, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8922537005066086, "F1": 0.8703735231025913, "Memory in Mb": 5.445720672607422, "Time in s": 12200.310087 }, { "step": 36240, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8919948122188802, "F1": 0.8690619563762879, "Memory in Mb": 4.9837493896484375, "Time in s": 12711.187581 }, { "step": 37146, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8920985327769552, "F1": 0.8688996467355751, "Memory in Mb": 5.313899993896484, "Time in s": 13229.1012 }, { "step": 38052, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8916979842842501, "F1": 0.8676919125437441, "Memory in Mb": 5.129566192626953, "Time in s": 13754.199791 }, { "step": 38958, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8912647277767796, "F1": 0.8674924924924926, "Memory in Mb": 5.3661651611328125, "Time in s": 14286.524658 }, { "step": 39864, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8915535709806086, "F1": 0.8687813021702837, "Memory in Mb": 5.776020050048828, "Time in s": 14825.184636 }, { "step": 40770, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8920012754789178, "F1": 0.8703512852978417, "Memory in Mb": 6.964508056640625, "Time in s": 15370.438083 }, { "step": 41676, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.89250149970006, "F1": 0.8717728547713092, "Memory in Mb": 8.029548645019531, "Time in s": 15922.831901 }, { "step": 42582, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8927925600619995, "F1": 0.8723184068469779, "Memory in Mb": 8.723072052001953, "Time in s": 16481.133162000002 }, { "step": 43488, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8927495573389749, "F1": 0.8722821622213702, "Memory in Mb": 8.793426513671875, "Time in s": 17045.039295000002 }, { "step": 44394, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8920775797986169, "F1": 0.8710467526175545, "Memory in Mb": 6.634971618652344, "Time in s": 17614.470389000002 }, { "step": 45300, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8926687123336056, "F1": 0.8720122143834896, "Memory in Mb": 7.5638427734375, "Time in s": 18188.843118 }, { "step": 45312, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Elec2", "Accuracy": 0.8926529981682152, "F1": 0.8719663069228745, "Memory in Mb": 7.565349578857422, "Time in s": 18763.342135 }, { "step": 25, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.75, "F1": 0.75, "Memory in Mb": 0.6626491546630859, "Time in s": 1.23946 }, { "step": 50, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8163265306122449, "F1": 0.8, "Memory in Mb": 0.6635112762451172, "Time in s": 3.937992 }, { "step": 75, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8378378378378378, "F1": 0.8333333333333334, "Memory in Mb": 0.6635112762451172, "Time in s": 8.007437 }, { "step": 100, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8484848484848485, "F1": 0.8421052631578947, "Memory in Mb": 0.6476030349731445, "Time in s": 13.398751 }, { "step": 125, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8467741935483871, "F1": 0.8403361344537815, "Memory in Mb": 0.9203081130981444, "Time in s": 19.997869 }, { "step": 150, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8456375838926175, "F1": 0.8456375838926175, "Memory in Mb": 0.9203310012817384, "Time in s": 27.874049 }, { "step": 175, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.867816091954023, "F1": 0.8588957055214724, "Memory in Mb": 1.0861825942993164, "Time in s": 37.283539 }, { "step": 200, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8693467336683417, "F1": 0.8617021276595744, "Memory in Mb": 1.2813997268676758, "Time in s": 47.998757 }, { "step": 225, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8660714285714286, "F1": 0.8557692307692308, "Memory in Mb": 1.3089113235473633, "Time in s": 59.952353 }, { "step": 250, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8554216867469879, "F1": 0.8434782608695653, "Memory in Mb": 1.3089799880981443, "Time in s": 73.11976999999999 }, { "step": 275, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8576642335766423, "F1": 0.844621513944223, "Memory in Mb": 1.2476167678833008, "Time in s": 87.72028699999998 }, { "step": 300, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.862876254180602, "F1": 0.8464419475655431, "Memory in Mb": 1.4594087600708008, "Time in s": 103.60422699999998 }, { "step": 325, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8703703703703703, "F1": 0.851063829787234, "Memory in Mb": 1.4950456619262695, "Time in s": 120.70292199999996 }, { "step": 350, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8710601719197708, "F1": 0.8494983277591974, "Memory in Mb": 1.5330171585083008, "Time in s": 138.98074599999998 }, { "step": 375, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8716577540106952, "F1": 0.8481012658227849, "Memory in Mb": 1.809849739074707, "Time in s": 158.64485 }, { "step": 400, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8696741854636592, "F1": 0.8433734939759037, "Memory in Mb": 2.068051338195801, "Time in s": 179.646811 }, { "step": 425, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8702830188679245, "F1": 0.8405797101449276, "Memory in Mb": 2.104710578918457, "Time in s": 201.850953 }, { "step": 450, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8752783964365256, "F1": 0.845303867403315, "Memory in Mb": 2.104527473449707, "Time in s": 225.239967 }, { "step": 475, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8776371308016878, "F1": 0.8505154639175259, "Memory in Mb": 2.132199287414551, "Time in s": 249.917589 }, { "step": 500, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.875751503006012, "F1": 0.8502415458937198, "Memory in Mb": 2.1503801345825195, "Time in s": 275.75512899999995 }, { "step": 525, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8778625954198473, "F1": 0.8497652582159624, "Memory in Mb": 2.187130928039551, "Time in s": 302.922289 }, { "step": 550, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8743169398907104, "F1": 0.8463251670378619, "Memory in Mb": 2.2971315383911133, "Time in s": 331.41425 }, { "step": 575, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8763066202090593, "F1": 0.8479657387580299, "Memory in Mb": 2.406788825988769, "Time in s": 361.219435 }, { "step": 600, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8764607679465777, "F1": 0.8451882845188285, "Memory in Mb": 2.406834602355957, "Time in s": 392.26267 }, { "step": 625, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8782051282051282, "F1": 0.8442622950819672, "Memory in Mb": 2.352017402648926, "Time in s": 424.555734 }, { "step": 650, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8813559322033898, "F1": 0.850485436893204, "Memory in Mb": 2.279099464416504, "Time in s": 458.242359 }, { "step": 675, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8798219584569733, "F1": 0.8513761467889909, "Memory in Mb": 2.54854679107666, "Time in s": 493.209676 }, { "step": 700, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8841201716738197, "F1": 0.8550983899821109, "Memory in Mb": 2.565995216369629, "Time in s": 529.352808 }, { "step": 725, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8812154696132597, "F1": 0.8537414965986394, "Memory in Mb": 2.870518684387207, "Time in s": 566.738792 }, { "step": 750, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8825100133511349, "F1": 0.8557377049180328, "Memory in Mb": 2.941006660461426, "Time in s": 605.3090109999999 }, { "step": 775, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8837209302325582, "F1": 0.856687898089172, "Memory in Mb": 3.0508241653442383, "Time in s": 645.053635 }, { "step": 800, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8836045056320401, "F1": 0.8584474885844748, "Memory in Mb": 3.1606874465942383, "Time in s": 686.031259 }, { "step": 825, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8810679611650486, "F1": 0.8567251461988304, "Memory in Mb": 3.270321846008301, "Time in s": 728.1933819999999 }, { "step": 850, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8833922261484098, "F1": 0.8591749644381224, "Memory in Mb": 3.2882280349731445, "Time in s": 771.57935 }, { "step": 875, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8844393592677345, "F1": 0.8595271210013908, "Memory in Mb": 3.2632036209106445, "Time in s": 816.1995999999999 }, { "step": 900, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8832035595105673, "F1": 0.8575305291723202, "Memory in Mb": 3.380833625793457, "Time in s": 861.997768 }, { "step": 925, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8841991341991342, "F1": 0.8597640891218873, "Memory in Mb": 3.4813432693481445, "Time in s": 908.973065 }, { "step": 950, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8851422550052687, "F1": 0.8628930817610063, "Memory in Mb": 3.5117311477661133, "Time in s": 957.120781 }, { "step": 975, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8870636550308009, "F1": 0.8651960784313726, "Memory in Mb": 3.5666399002075195, "Time in s": 1006.3541349999998 }, { "step": 1000, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8878878878878879, "F1": 0.8663484486873507, "Memory in Mb": 3.645543098449707, "Time in s": 1056.728559 }, { "step": 1025, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8876953125, "F1": 0.8667439165701043, "Memory in Mb": 3.735753059387207, "Time in s": 1108.282035 }, { "step": 1050, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8894184938036225, "F1": 0.8693693693693694, "Memory in Mb": 3.808384895324707, "Time in s": 1160.949301 }, { "step": 1075, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8901303538175046, "F1": 0.87117903930131, "Memory in Mb": 3.94530200958252, "Time in s": 1214.7027389999998 }, { "step": 1100, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.89171974522293, "F1": 0.873269435569755, "Memory in Mb": 3.945347785949707, "Time in s": 1269.5439849999998 }, { "step": 1125, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8905693950177936, "F1": 0.8730650154798762, "Memory in Mb": 3.972836494445801, "Time in s": 1325.4243339999998 }, { "step": 1150, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8920800696257616, "F1": 0.8747474747474747, "Memory in Mb": 3.945645332336426, "Time in s": 1382.2374609999997 }, { "step": 1175, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8909710391822828, "F1": 0.8732673267326733, "Memory in Mb": 3.973248481750488, "Time in s": 1440.0925429999998 }, { "step": 1200, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8924103419516264, "F1": 0.8746355685131195, "Memory in Mb": 3.947278022766113, "Time in s": 1498.9929549999997 }, { "step": 1225, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8937908496732027, "F1": 0.8761904761904762, "Memory in Mb": 3.982327461242676, "Time in s": 1558.8210809999996 }, { "step": 1250, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "Phishing", "Accuracy": 0.8943154523618895, "F1": 0.8773234200743495, "Memory in Mb": 4.0114030838012695, "Time in s": 1619.6535709999996 }, { "step": 1903, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1602087020874023, "Time in s": 31.58816 }, { "step": 3806, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1608190536499023, "Time in s": 89.620857 }, { "step": 5709, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1614294052124023, "Time in s": 167.42750999999998 }, { "step": 7612, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1614294052124023, "Time in s": 263.688726 }, { "step": 9515, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1614294052124023, "Time in s": 375.655092 }, { "step": 11418, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1620397567749023, "Time in s": 502.190419 }, { "step": 13321, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 0.1620397567749023, "Time in s": 643.105063 }, { "step": 15224, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9992117191092426, "F1": 0.0, "Memory in Mb": 0.2446889877319336, "Time in s": 797.8947989999999 }, { "step": 17127, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9991825294873292, "F1": 0.0, "Memory in Mb": 0.1627492904663086, "Time in s": 968.143197 }, { "step": 19030, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9992642808345158, "F1": 0.0, "Memory in Mb": 0.1625890731811523, "Time in s": 1153.4864309999998 }, { "step": 20933, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9993311675902924, "F1": 0.0, "Memory in Mb": 0.1631536483764648, "Time in s": 1353.5382149999998 }, { "step": 22836, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9993869060652508, "F1": 0.0, "Memory in Mb": 0.1632680892944336, "Time in s": 1568.364428 }, { "step": 24739, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9994340690435768, "F1": 0.0, "Memory in Mb": 0.1632909774780273, "Time in s": 1796.946914 }, { "step": 26642, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9994369580721444, "F1": 0.0, "Memory in Mb": 0.1630849838256836, "Time in s": 2038.09448 }, { "step": 28545, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9994744955156952, "F1": 0.0, "Memory in Mb": 0.1630849838256836, "Time in s": 2291.954796 }, { "step": 30448, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999507340624692, "F1": 0.0, "Memory in Mb": 0.1631536483764648, "Time in s": 2557.874515 }, { "step": 32351, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995363214837713, "F1": 0.0, "Memory in Mb": 0.1631765365600586, "Time in s": 2835.65121 }, { "step": 34254, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999562082153388, "F1": 0.0, "Memory in Mb": 0.1631536483764648, "Time in s": 3124.961925 }, { "step": 36157, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995851310985728, "F1": 0.0, "Memory in Mb": 0.1631078720092773, "Time in s": 3424.787068 }, { "step": 38060, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996058750886782, "F1": 0.0, "Memory in Mb": 0.1631307601928711, "Time in s": 3734.997034 }, { "step": 39963, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996246434112408, "F1": 0.0, "Memory in Mb": 0.1631994247436523, "Time in s": 4055.587677 }, { "step": 41866, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999641705481906, "F1": 0.0, "Memory in Mb": 0.1638784408569336, "Time in s": 4386.458848 }, { "step": 43769, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996572838603546, "F1": 0.0, "Memory in Mb": 0.1636495590209961, "Time in s": 4726.906731 }, { "step": 45672, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999671564012174, "F1": 0.0, "Memory in Mb": 0.1638555526733398, "Time in s": 5077.03597 }, { "step": 47575, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996847017278344, "F1": 0.0, "Memory in Mb": 0.1639471054077148, "Time in s": 5436.872312 }, { "step": 49478, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996968288295572, "F1": 0.0, "Memory in Mb": 0.1637182235717773, "Time in s": 5806.300992 }, { "step": 51381, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996691319579604, "F1": 0.0, "Memory in Mb": 0.1639471054077148, "Time in s": 6185.544045999999 }, { "step": 53284, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996809488955202, "F1": 0.0, "Memory in Mb": 0.1641073226928711, "Time in s": 6574.848143999999 }, { "step": 55187, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996919508571014, "F1": 0.0, "Memory in Mb": 0.1637639999389648, "Time in s": 6975.121680999999 }, { "step": 57090, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995445707579392, "F1": 0.0, "Memory in Mb": 0.1638784408569336, "Time in s": 7384.584095999999 }, { "step": 58993, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995592622728504, "F1": 0.0, "Memory in Mb": 0.1639013290405273, "Time in s": 7802.5953629999985 }, { "step": 60896, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999573035553001, "F1": 0.0, "Memory in Mb": 0.1637182235717773, "Time in s": 8228.594131999998 }, { "step": 62799, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995541259275772, "F1": 0.0, "Memory in Mb": 0.1639013290405273, "Time in s": 8661.618187999999 }, { "step": 64702, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995672400735692, "F1": 0.0, "Memory in Mb": 0.1639928817749023, "Time in s": 9101.660233 }, { "step": 66605, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995796048285388, "F1": 0.0, "Memory in Mb": 0.1638326644897461, "Time in s": 9548.69733 }, { "step": 68508, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999562088545696, "F1": 0.0, "Memory in Mb": 0.1638097763061523, "Time in s": 10002.655236 }, { "step": 70411, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995739241585002, "F1": 0.0, "Memory in Mb": 0.1637182235717773, "Time in s": 10463.105481 }, { "step": 72314, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995851368357004, "F1": 0.0, "Memory in Mb": 0.1637639999389648, "Time in s": 10929.695224 }, { "step": 74217, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9995957744960656, "F1": 0.0, "Memory in Mb": 0.1638097763061523, "Time in s": 11402.447204 }, { "step": 76120, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996058802664248, "F1": 0.0, "Memory in Mb": 0.1638784408569336, "Time in s": 11881.476782 }, { "step": 78023, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996154930660582, "F1": 0.0, "Memory in Mb": 0.1637411117553711, "Time in s": 12366.666901 }, { "step": 79926, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996246481076008, "F1": 0.0, "Memory in Mb": 0.1637182235717773, "Time in s": 12858.057531 }, { "step": 81829, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.999633377328054, "F1": 0.0, "Memory in Mb": 0.1521596908569336, "Time in s": 13355.582794 }, { "step": 83732, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996417097610204, "F1": 0.0, "Memory in Mb": 0.1528844833374023, "Time in s": 13859.323941 }, { "step": 85635, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996496718593082, "F1": 0.0, "Memory in Mb": 0.1643285751342773, "Time in s": 14369.189455 }, { "step": 87538, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996572877754548, "F1": 0.0, "Memory in Mb": 0.1646032333374023, "Time in s": 14885.224126 }, { "step": 89441, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996533989266548, "F1": 0.0, "Memory in Mb": 0.1645116806030273, "Time in s": 15407.418989999998 }, { "step": 91344, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996606198614016, "F1": 0.0, "Memory in Mb": 0.1643285751342773, "Time in s": 15935.791256 }, { "step": 93247, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996675460609572, "F1": 0.0, "Memory in Mb": 0.1645116806030273, "Time in s": 16470.041814999997 }, { "step": 95150, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996741952096186, "F1": 0.0, "Memory in Mb": 0.1645345687866211, "Time in s": 17009.813748999997 }, { "step": 95156, "track": "Binary classification", "model": "Leveraging Bagging", "dataset": "SMTP", "Accuracy": 0.9996742157532448, "F1": 0.0, "Memory in Mb": 0.1646032333374023, "Time in s": 17549.605714999998 }, { "step": 106, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.6095238095238096, "F1": 0.577319587628866, "Memory in Mb": 0.7777948379516602, "Time in s": 2.119535 }, { "step": 212, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.7109004739336493, "F1": 0.6702702702702703, "Memory in Mb": 1.3802881240844729, "Time in s": 6.931057 }, { "step": 318, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.7602523659305994, "F1": 0.7361111111111112, "Memory in Mb": 1.8119163513183596, "Time in s": 15.160032 }, { "step": 424, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.7943262411347518, "F1": 0.772845953002611, "Memory in Mb": 2.401026725769043, "Time in s": 27.407145 }, { "step": 530, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8052930056710775, "F1": 0.7775377969762419, "Memory in Mb": 5.0262651443481445, "Time in s": 65.121823 }, { "step": 636, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8236220472440945, "F1": 0.7992831541218638, "Memory in Mb": 5.88111686706543, "Time in s": 107.288216 }, { "step": 742, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8299595141700404, "F1": 0.8025078369905957, "Memory in Mb": 6.734616279602051, "Time in s": 153.798119 }, { "step": 848, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8347107438016529, "F1": 0.8087431693989071, "Memory in Mb": 7.555168151855469, "Time in s": 204.76644700000003 }, { "step": 954, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8426023084994754, "F1": 0.8166259168704157, "Memory in Mb": 8.384669303894043, "Time in s": 260.019764 }, { "step": 1060, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8536355051935789, "F1": 0.8275862068965517, "Memory in Mb": 8.926264762878418, "Time in s": 319.31365700000003 }, { "step": 1166, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8532188841201717, "F1": 0.8274470232088799, "Memory in Mb": 9.188977241516112, "Time in s": 382.58132300000005 }, { "step": 1272, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8536585365853658, "F1": 0.8290441176470588, "Memory in Mb": 9.45701789855957, "Time in s": 449.3987790000001 }, { "step": 1378, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8576615831517792, "F1": 0.8321917808219177, "Memory in Mb": 9.84501838684082, "Time in s": 519.6596460000001 }, { "step": 1484, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8590694538098449, "F1": 0.8345209817893903, "Memory in Mb": 10.364198684692385, "Time in s": 593.3590610000001 }, { "step": 1590, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8565135305223411, "F1": 0.8321060382916053, "Memory in Mb": 10.46892547607422, "Time in s": 670.9077340000001 }, { "step": 1696, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8595870206489675, "F1": 0.8354080221300139, "Memory in Mb": 10.96640968322754, "Time in s": 752.0270200000001 }, { "step": 1802, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8634092171016102, "F1": 0.8410852713178295, "Memory in Mb": 10.118447303771973, "Time in s": 836.636461 }, { "step": 1908, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8626114315679078, "F1": 0.8417874396135265, "Memory in Mb": 10.3862943649292, "Time in s": 924.5557 }, { "step": 2014, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8614008941877794, "F1": 0.8415672913117546, "Memory in Mb": 10.646858215332031, "Time in s": 1015.887245 }, { "step": 2120, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8640868334119868, "F1": 0.8459893048128343, "Memory in Mb": 10.9229736328125, "Time in s": 1110.420791 }, { "step": 2226, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8642696629213483, "F1": 0.8462321792260691, "Memory in Mb": 11.325839042663574, "Time in s": 1208.24484 }, { "step": 2332, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.864006864006864, "F1": 0.8461911693352742, "Memory in Mb": 11.659860610961914, "Time in s": 1308.9666100000002 }, { "step": 2438, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8641772671317193, "F1": 0.8465461288827074, "Memory in Mb": 11.19693660736084, "Time in s": 1412.476276 }, { "step": 2544, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8651199370821864, "F1": 0.8484312859036677, "Memory in Mb": 11.452000617980955, "Time in s": 1518.7765900000002 }, { "step": 2650, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.864477161192903, "F1": 0.8480744815911976, "Memory in Mb": 11.787381172180176, "Time in s": 1627.8671150000002 }, { "step": 2756, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8653357531760436, "F1": 0.849125660837739, "Memory in Mb": 12.11353874206543, "Time in s": 1739.675061 }, { "step": 2862, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8678783642083188, "F1": 0.8515318146111548, "Memory in Mb": 12.35980987548828, "Time in s": 1854.131846 }, { "step": 2968, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8695652173913043, "F1": 0.8529076396807297, "Memory in Mb": 12.722334861755373, "Time in s": 1971.385777 }, { "step": 3074, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8682069638789457, "F1": 0.8515939904727006, "Memory in Mb": 13.0479736328125, "Time in s": 2091.3191060000004 }, { "step": 3180, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8700849323686694, "F1": 0.8530771967271433, "Memory in Mb": 13.308364868164062, "Time in s": 2213.9114950000003 }, { "step": 3286, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8700152207001522, "F1": 0.8523002421307506, "Memory in Mb": 13.608009338378906, "Time in s": 2339.1031470000003 }, { "step": 3392, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.871129460336184, "F1": 0.8544788544788545, "Memory in Mb": 13.70766258239746, "Time in s": 2466.937686 }, { "step": 3498, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.872748069774092, "F1": 0.8557536466774717, "Memory in Mb": 14.051713943481444, "Time in s": 2598.213051 }, { "step": 3604, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8742714404662781, "F1": 0.856872037914692, "Memory in Mb": 14.26829433441162, "Time in s": 2732.2090540000004 }, { "step": 3710, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8751685090320841, "F1": 0.8583664729275007, "Memory in Mb": 14.518733978271484, "Time in s": 2868.9613940000004 }, { "step": 3816, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8762778505897771, "F1": 0.8596908442330559, "Memory in Mb": 14.742842674255373, "Time in s": 3008.2640120000005 }, { "step": 3922, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8747768426421831, "F1": 0.8578048074138431, "Memory in Mb": 15.053866386413574, "Time in s": 3150.2484420000005 }, { "step": 4028, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8733548547305686, "F1": 0.8560135516657256, "Memory in Mb": 15.453622817993164, "Time in s": 3294.8873180000005 }, { "step": 4134, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.874183401887249, "F1": 0.8569069895432032, "Memory in Mb": 15.755488395690918, "Time in s": 3442.0965550000005 }, { "step": 4240, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8749705119131871, "F1": 0.8579849946409432, "Memory in Mb": 15.976973533630373, "Time in s": 3591.8798750000005 }, { "step": 4346, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8759493670886076, "F1": 0.8590849673202615, "Memory in Mb": 16.313834190368652, "Time in s": 3744.3343260000006 }, { "step": 4452, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8755335879577623, "F1": 0.8585291113381002, "Memory in Mb": 16.729196548461914, "Time in s": 3899.4355060000007 }, { "step": 4558, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8757954794821154, "F1": 0.8592039800995025, "Memory in Mb": 17.032727241516113, "Time in s": 4057.1530940000007 }, { "step": 4664, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8756165558653227, "F1": 0.8594961240310078, "Memory in Mb": 17.45319175720215, "Time in s": 4217.5274930000005 }, { "step": 4770, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8754455860767456, "F1": 0.8590412909349787, "Memory in Mb": 17.6948184967041, "Time in s": 4380.594611 }, { "step": 4876, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8756923076923077, "F1": 0.8588070829450141, "Memory in Mb": 17.917430877685547, "Time in s": 4546.383704000001 }, { "step": 4982, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8761292913069665, "F1": 0.8596770525358198, "Memory in Mb": 18.09793186187744, "Time in s": 4714.847995000001 }, { "step": 5088, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8757617456261058, "F1": 0.8591800356506238, "Memory in Mb": 18.51348114013672, "Time in s": 4886.014522000001 }, { "step": 5194, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.876372039283651, "F1": 0.8598865124399825, "Memory in Mb": 18.89274883270264, "Time in s": 5059.990176000001 }, { "step": 5300, "track": "Binary classification", "model": "Stacking", "dataset": "Bananas", "Accuracy": 0.8762030571806001, "F1": 0.8596491228070176, "Memory in Mb": 19.194592475891117, "Time in s": 5236.837813000001 }, { "step": 906, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9116022099447514, "F1": 0.908256880733945, "Memory in Mb": 7.041282653808594, "Time in s": 59.400144 }, { "step": 1812, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.906129210381005, "F1": 0.8855989232839839, "Memory in Mb": 9.07800579071045, "Time in s": 148.928403 }, { "step": 2718, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9002576370997424, "F1": 0.8772088808337108, "Memory in Mb": 9.477606773376465, "Time in s": 264.671315 }, { "step": 3624, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9064311344189898, "F1": 0.8849677638276212, "Memory in Mb": 10.383838653564451, "Time in s": 404.188666 }, { "step": 4530, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.90527710311327, "F1": 0.8788477831121152, "Memory in Mb": 11.437847137451172, "Time in s": 565.129871 }, { "step": 5436, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9000919963201472, "F1": 0.8723854289071681, "Memory in Mb": 14.209432601928713, "Time in s": 747.817107 }, { "step": 6342, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.897019397571361, "F1": 0.8704622098789923, "Memory in Mb": 15.688876152038574, "Time in s": 951.56122 }, { "step": 7248, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8965089002345799, "F1": 0.8694744169857292, "Memory in Mb": 19.837779998779297, "Time in s": 1176.633371 }, { "step": 8154, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8980743284680486, "F1": 0.8778839088905216, "Memory in Mb": 22.41482448577881, "Time in s": 1420.714573 }, { "step": 9060, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9000993487139861, "F1": 0.8828478964401294, "Memory in Mb": 25.97023296356201, "Time in s": 1683.800751 }, { "step": 9966, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8982438534872053, "F1": 0.8827203331020125, "Memory in Mb": 28.783666610717773, "Time in s": 1965.440637 }, { "step": 10872, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9006531137889798, "F1": 0.8870765370138016, "Memory in Mb": 30.882869720458984, "Time in s": 2263.780185 }, { "step": 11778, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9021822195805383, "F1": 0.8888030888030888, "Memory in Mb": 33.277831077575684, "Time in s": 2578.868179 }, { "step": 12684, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.901285184893164, "F1": 0.8879541793449078, "Memory in Mb": 35.50911808013916, "Time in s": 2911.085292 }, { "step": 13590, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.901905953344617, "F1": 0.8899529431189631, "Memory in Mb": 38.6168327331543, "Time in s": 3259.512573 }, { "step": 14496, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9030010348395998, "F1": 0.8917128773875539, "Memory in Mb": 41.26064682006836, "Time in s": 3624.142031 }, { "step": 15402, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.903902344003636, "F1": 0.8922382408620941, "Memory in Mb": 43.65532207489014, "Time in s": 4004.812957 }, { "step": 16308, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9002882197829153, "F1": 0.8879239040529363, "Memory in Mb": 45.1539192199707, "Time in s": 4403.507418 }, { "step": 17214, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8997850461860222, "F1": 0.8856176646111001, "Memory in Mb": 37.54582214355469, "Time in s": 4816.829749 }, { "step": 18120, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9001048622992439, "F1": 0.8858908082209053, "Memory in Mb": 41.9152717590332, "Time in s": 5243.603799 }, { "step": 19026, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9014454664914586, "F1": 0.886177381169186, "Memory in Mb": 44.45838737487793, "Time in s": 5683.033974000001 }, { "step": 19932, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.9011088254477948, "F1": 0.8867826986041704, "Memory in Mb": 48.213175773620605, "Time in s": 6135.158415000001 }, { "step": 20838, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8992657292316553, "F1": 0.8848411696933121, "Memory in Mb": 47.78572177886963, "Time in s": 6598.876461000001 }, { "step": 21744, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8986800349537782, "F1": 0.8824376967821121, "Memory in Mb": 49.35674381256104, "Time in s": 7073.276106000001 }, { "step": 22650, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.898361958585368, "F1": 0.8812912541254125, "Memory in Mb": 47.91073036193848, "Time in s": 7558.681153000001 }, { "step": 23556, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8961579282530249, "F1": 0.8784656663022956, "Memory in Mb": 53.37149906158447, "Time in s": 8055.088432000001 }, { "step": 24462, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8945259801316381, "F1": 0.8760211436809228, "Memory in Mb": 52.06687641143799, "Time in s": 8562.621137000002 }, { "step": 25368, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8922221784207829, "F1": 0.8734610756271406, "Memory in Mb": 20.63737678527832, "Time in s": 9080.309208000002 }, { "step": 26274, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8928177216153466, "F1": 0.873801201039706, "Memory in Mb": 17.83812713623047, "Time in s": 9607.290172000005 }, { "step": 27180, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8932263880201626, "F1": 0.874632797649905, "Memory in Mb": 19.30546188354492, "Time in s": 10142.799192000002 }, { "step": 28086, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8915435285739719, "F1": 0.8721564677243349, "Memory in Mb": 18.23539447784424, "Time in s": 10686.882271000002 }, { "step": 28992, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.891345590010693, "F1": 0.8712498978173793, "Memory in Mb": 21.229859352111816, "Time in s": 11240.330868000005 }, { "step": 29898, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8905575810281968, "F1": 0.8700246285850481, "Memory in Mb": 25.24380111694336, "Time in s": 11801.274420000003 }, { "step": 30804, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.890335356945752, "F1": 0.8690697674418605, "Memory in Mb": 28.836254119873047, "Time in s": 12369.623812000003 }, { "step": 31710, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8895266328171813, "F1": 0.8679458664756663, "Memory in Mb": 27.00519371032715, "Time in s": 12944.308752000004 }, { "step": 32616, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8879963207113292, "F1": 0.86634224872855, "Memory in Mb": 30.17805576324463, "Time in s": 13524.938061000004 }, { "step": 33522, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8870260433757943, "F1": 0.8654563541407612, "Memory in Mb": 32.107930183410645, "Time in s": 14111.446119000002 }, { "step": 34428, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8857582711244082, "F1": 0.8638770636486346, "Memory in Mb": 32.29031944274902, "Time in s": 14703.865141000002 }, { "step": 35334, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8850083491353692, "F1": 0.8622665175090681, "Memory in Mb": 36.271653175354, "Time in s": 15302.291934000004 }, { "step": 36240, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8850133833715058, "F1": 0.8612988050461006, "Memory in Mb": 35.55355262756348, "Time in s": 15906.592759000005 }, { "step": 37146, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8836182527931081, "F1": 0.859061715515274, "Memory in Mb": 38.75662517547608, "Time in s": 16517.021041000004 }, { "step": 38052, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8830516937794013, "F1": 0.8577547628180539, "Memory in Mb": 41.063425064086914, "Time in s": 17133.624997000003 }, { "step": 38958, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8831788895448828, "F1": 0.8582198822393221, "Memory in Mb": 42.255154609680176, "Time in s": 17756.348401000003 }, { "step": 39864, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8836765923287259, "F1": 0.8598797328740216, "Memory in Mb": 43.78993701934815, "Time in s": 18385.013164000004 }, { "step": 40770, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8840295322426354, "F1": 0.8614708467623791, "Memory in Mb": 40.85312080383301, "Time in s": 19019.639174000004 }, { "step": 41676, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8847030593881223, "F1": 0.8632106356933413, "Memory in Mb": 39.29591369628906, "Time in s": 19660.085711000003 }, { "step": 42582, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8851130786031328, "F1": 0.8639675212724542, "Memory in Mb": 42.33915042877197, "Time in s": 20306.976876000004 }, { "step": 43488, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8848391473313864, "F1": 0.8636091290375292, "Memory in Mb": 42.20731544494629, "Time in s": 20960.03932700001 }, { "step": 44394, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8848467100669024, "F1": 0.8632350580555408, "Memory in Mb": 44.13865566253662, "Time in s": 21618.107174000004 }, { "step": 45300, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8854720854765006, "F1": 0.8642027012878233, "Memory in Mb": 40.63082981109619, "Time in s": 22281.08467600001 }, { "step": 45312, "track": "Binary classification", "model": "Stacking", "dataset": "Elec2", "Accuracy": 0.8854582772395224, "F1": 0.8641574621787154, "Memory in Mb": 40.75471591949463, "Time in s": 22944.429270000004 }, { "step": 25, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.6666666666666666, "F1": 0.7142857142857143, "Memory in Mb": 0.6122617721557617, "Time in s": 0.640752 }, { "step": 50, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.7755102040816326, "F1": 0.7659574468085107, "Memory in Mb": 0.7524843215942383, "Time in s": 1.992597 }, { "step": 75, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8243243243243243, "F1": 0.8266666666666667, "Memory in Mb": 0.9228668212890624, "Time in s": 4.151733 }, { "step": 100, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8282828282828283, "F1": 0.8282828282828283, "Memory in Mb": 1.193608283996582, "Time in s": 7.194986 }, { "step": 125, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8306451612903226, "F1": 0.8292682926829269, "Memory in Mb": 1.3295679092407229, "Time in s": 11.208747 }, { "step": 150, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8389261744966443, "F1": 0.8441558441558442, "Memory in Mb": 1.3798675537109375, "Time in s": 16.195196 }, { "step": 175, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8563218390804598, "F1": 0.8520710059171597, "Memory in Mb": 1.4546594619750977, "Time in s": 22.422243 }, { "step": 200, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8542713567839196, "F1": 0.8497409326424871, "Memory in Mb": 1.6083984375, "Time in s": 29.888728 }, { "step": 225, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8526785714285714, "F1": 0.8436018957345972, "Memory in Mb": 1.7997064590454102, "Time in s": 38.482186 }, { "step": 250, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8433734939759037, "F1": 0.8354430379746836, "Memory in Mb": 1.9343080520629885, "Time in s": 48.311454 }, { "step": 275, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8467153284671532, "F1": 0.8372093023255813, "Memory in Mb": 2.053934097290039, "Time in s": 59.483297 }, { "step": 300, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8461538461538461, "F1": 0.8333333333333334, "Memory in Mb": 2.12460994720459, "Time in s": 72.133375 }, { "step": 325, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8518518518518519, "F1": 0.8356164383561644, "Memory in Mb": 2.201033592224121, "Time in s": 86.30699200000001 }, { "step": 350, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8595988538681948, "F1": 0.8414239482200646, "Memory in Mb": 2.2356014251708984, "Time in s": 102.050203 }, { "step": 375, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8556149732620321, "F1": 0.8353658536585366, "Memory in Mb": 2.328523635864258, "Time in s": 119.413833 }, { "step": 400, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8571428571428571, "F1": 0.8347826086956521, "Memory in Mb": 2.316814422607422, "Time in s": 138.615081 }, { "step": 425, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8608490566037735, "F1": 0.8356545961002786, "Memory in Mb": 2.353947639465332, "Time in s": 159.65345200000002 }, { "step": 450, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8619153674832962, "F1": 0.8351063829787234, "Memory in Mb": 2.429127693176269, "Time in s": 182.47163200000003 }, { "step": 475, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8649789029535865, "F1": 0.8407960199004976, "Memory in Mb": 2.579917907714844, "Time in s": 207.23725 }, { "step": 500, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8637274549098196, "F1": 0.841860465116279, "Memory in Mb": 4.818408012390137, "Time in s": 255.437855 }, { "step": 525, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8645038167938931, "F1": 0.8397291196388261, "Memory in Mb": 5.000759124755859, "Time in s": 305.327991 }, { "step": 550, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8652094717668488, "F1": 0.8418803418803419, "Memory in Mb": 5.177936553955078, "Time in s": 356.788916 }, { "step": 575, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8658536585365854, "F1": 0.8425357873210634, "Memory in Mb": 5.324765205383301, "Time in s": 409.723896 }, { "step": 600, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8697829716193656, "F1": 0.8446215139442231, "Memory in Mb": 5.557343482971191, "Time in s": 464.11455 }, { "step": 625, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8685897435897436, "F1": 0.8404669260700389, "Memory in Mb": 5.701066970825195, "Time in s": 520.0238599999999 }, { "step": 650, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8721109399075501, "F1": 0.847145488029466, "Memory in Mb": 5.875107765197754, "Time in s": 577.5076929999999 }, { "step": 675, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8753709198813057, "F1": 0.8541666666666667, "Memory in Mb": 5.993474006652832, "Time in s": 636.4901669999999 }, { "step": 700, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8798283261802575, "F1": 0.8576271186440678, "Memory in Mb": 6.097118377685547, "Time in s": 696.8595059999999 }, { "step": 725, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8798342541436464, "F1": 0.8603531300160514, "Memory in Mb": 6.2616376876831055, "Time in s": 758.6517739999999 }, { "step": 750, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8811748998664887, "F1": 0.8624420401854715, "Memory in Mb": 6.510566711425781, "Time in s": 822.0041369999999 }, { "step": 775, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8824289405684754, "F1": 0.8631578947368422, "Memory in Mb": 6.659415245056152, "Time in s": 886.863173 }, { "step": 800, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8823529411764706, "F1": 0.8645533141210374, "Memory in Mb": 6.793304443359375, "Time in s": 953.229371 }, { "step": 825, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8822815533980582, "F1": 0.8654646324549237, "Memory in Mb": 7.087222099304199, "Time in s": 1021.107018 }, { "step": 850, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8833922261484098, "F1": 0.8660351826792964, "Memory in Mb": 7.324291229248047, "Time in s": 1090.559446 }, { "step": 875, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.88558352402746, "F1": 0.8677248677248677, "Memory in Mb": 7.470724105834961, "Time in s": 1161.497406 }, { "step": 900, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8854282536151279, "F1": 0.8670967741935484, "Memory in Mb": 7.810632705688477, "Time in s": 1233.983859 }, { "step": 925, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8874458874458875, "F1": 0.8706467661691542, "Memory in Mb": 7.971014976501465, "Time in s": 1307.96073 }, { "step": 950, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8872497365648051, "F1": 0.8718562874251498, "Memory in Mb": 8.080266952514648, "Time in s": 1383.548543 }, { "step": 975, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8891170431211499, "F1": 0.8738317757009346, "Memory in Mb": 8.205357551574707, "Time in s": 1460.7186840000002 }, { "step": 1000, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8888888888888888, "F1": 0.8737201365187712, "Memory in Mb": 8.39128303527832, "Time in s": 1539.50166 }, { "step": 1025, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.888671875, "F1": 0.8738938053097345, "Memory in Mb": 8.406519889831543, "Time in s": 1619.9124450000002 }, { "step": 1050, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8903717826501429, "F1": 0.8762109795479011, "Memory in Mb": 8.400672912597656, "Time in s": 1701.87919 }, { "step": 1075, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8910614525139665, "F1": 0.877742946708464, "Memory in Mb": 8.453279495239258, "Time in s": 1785.406003 }, { "step": 1100, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8926296633303002, "F1": 0.8795918367346939, "Memory in Mb": 8.421560287475586, "Time in s": 1870.444315 }, { "step": 1125, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8932384341637011, "F1": 0.8811881188118813, "Memory in Mb": 8.383057594299316, "Time in s": 1956.980231 }, { "step": 1150, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8929503916449086, "F1": 0.8806983511154219, "Memory in Mb": 8.433841705322266, "Time in s": 2045.031177 }, { "step": 1175, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8909710391822828, "F1": 0.8783269961977185, "Memory in Mb": 8.58321475982666, "Time in s": 2134.506504 }, { "step": 1200, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8932443703085905, "F1": 0.8803738317757008, "Memory in Mb": 8.605175971984863, "Time in s": 2225.421876 }, { "step": 1225, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8946078431372549, "F1": 0.8817598533455545, "Memory in Mb": 8.70528507232666, "Time in s": 2317.752916 }, { "step": 1250, "track": "Binary classification", "model": "Stacking", "dataset": "Phishing", "Accuracy": 0.8951160928742994, "F1": 0.88272157564906, "Memory in Mb": 8.721240997314453, "Time in s": 2411.411116 }, { "step": 1903, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.776657104492188, "Time in s": 62.937451 }, { "step": 3806, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.703582763671875, "Time in s": 162.906939 }, { "step": 5709, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.683967590332031, "Time in s": 291.999561 }, { "step": 7612, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.6548919677734375, "Time in s": 449.905783 }, { "step": 9515, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.674896240234375, "Time in s": 634.264648 }, { "step": 11418, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.68939208984375, "Time in s": 844.6132379999999 }, { "step": 13321, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 1.0, "F1": 0.0, "Memory in Mb": 4.6727142333984375, "Time in s": 1077.972428 }, { "step": 15224, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9992774091834724, "F1": 0.0, "Memory in Mb": 4.755153656005859, "Time in s": 1334.293209 }, { "step": 17127, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9992409202382344, "F1": 0.0, "Memory in Mb": 4.668712615966797, "Time in s": 1613.416001 }, { "step": 19030, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9993168322034788, "F1": 0.0, "Memory in Mb": 4.707424163818359, "Time in s": 1913.210948 }, { "step": 20933, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999378941333843, "F1": 0.0, "Memory in Mb": 4.680248260498047, "Time in s": 2233.020054 }, { "step": 22836, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9994306984891612, "F1": 0.0, "Memory in Mb": 4.695384979248047, "Time in s": 2572.124593 }, { "step": 24739, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9994744926833212, "F1": 0.0, "Memory in Mb": 4.721019744873047, "Time in s": 2930.571035 }, { "step": 26642, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999474494200668, "F1": 0.0, "Memory in Mb": 4.747562408447266, "Time in s": 3309.032834 }, { "step": 28545, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999509529147982, "F1": 0.0, "Memory in Mb": 4.741054534912109, "Time in s": 3705.221814 }, { "step": 30448, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999540184583046, "F1": 0.0, "Memory in Mb": 4.678241729736328, "Time in s": 4115.910057 }, { "step": 32351, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995672333848532, "F1": 0.0, "Memory in Mb": 4.619670867919922, "Time in s": 4539.977119 }, { "step": 34254, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995912766764956, "F1": 0.0, "Memory in Mb": 4.749675750732422, "Time in s": 4977.188868 }, { "step": 36157, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996127890253348, "F1": 0.0, "Memory in Mb": 4.678524017333984, "Time in s": 5426.058059 }, { "step": 38060, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996321500827662, "F1": 0.0, "Memory in Mb": 4.705173492431641, "Time in s": 5886.859448 }, { "step": 39963, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996496671838246, "F1": 0.0, "Memory in Mb": 4.729236602783203, "Time in s": 6359.258672 }, { "step": 41866, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996655917831124, "F1": 0.0, "Memory in Mb": 4.729305267333984, "Time in s": 6843.735511 }, { "step": 43769, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996801316029976, "F1": 0.0, "Memory in Mb": 4.741458892822266, "Time in s": 7339.76837 }, { "step": 45672, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996934597446958, "F1": 0.0, "Memory in Mb": 4.677211761474609, "Time in s": 7847.750223999999 }, { "step": 47575, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9997057216126456, "F1": 0.0, "Memory in Mb": 4.833148956298828, "Time in s": 8367.044639 }, { "step": 49478, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.99971704024092, "F1": 0.0, "Memory in Mb": 4.807292938232422, "Time in s": 8898.416265 }, { "step": 51381, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996885947839628, "F1": 0.0, "Memory in Mb": 4.893611907958984, "Time in s": 9441.1614 }, { "step": 53284, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996997166075484, "F1": 0.0, "Memory in Mb": 4.877178192138672, "Time in s": 9993.506038 }, { "step": 55187, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999710071394919, "F1": 0.0, "Memory in Mb": 4.888896942138672, "Time in s": 10554.524537 }, { "step": 57090, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995620872672494, "F1": 0.0, "Memory in Mb": 4.783634185791016, "Time in s": 11123.611551 }, { "step": 58993, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995762137238948, "F1": 0.0, "Memory in Mb": 4.831531524658203, "Time in s": 11701.029088 }, { "step": 60896, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999589457262501, "F1": 0.0, "Memory in Mb": 4.854015350341797, "Time in s": 12286.755546 }, { "step": 62799, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995700500015924, "F1": 0.0, "Memory in Mb": 4.858226776123047, "Time in s": 12880.441843 }, { "step": 64702, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995826957852274, "F1": 0.0, "Memory in Mb": 4.846561431884766, "Time in s": 13482.274686 }, { "step": 66605, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995946189418052, "F1": 0.0, "Memory in Mb": 4.872089385986328, "Time in s": 14092.292627 }, { "step": 68508, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995766855941728, "F1": 0.0, "Memory in Mb": 4.843868255615234, "Time in s": 14710.448755 }, { "step": 70411, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995881266865502, "F1": 0.0, "Memory in Mb": 4.835132598876953, "Time in s": 15336.827122 }, { "step": 72314, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9995989656078436, "F1": 0.0, "Memory in Mb": 4.892154693603516, "Time in s": 15971.964918999998 }, { "step": 74217, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.99960924867953, "F1": 0.0, "Memory in Mb": 4.812671661376953, "Time in s": 16613.982513 }, { "step": 76120, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996190175908776, "F1": 0.0, "Memory in Mb": 4.880641937255859, "Time in s": 17262.391145999998 }, { "step": 78023, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996283099638564, "F1": 0.0, "Memory in Mb": 4.831180572509766, "Time in s": 17916.095854 }, { "step": 79926, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996371598373476, "F1": 0.0, "Memory in Mb": 4.851375579833984, "Time in s": 18574.918078 }, { "step": 81829, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996455980837856, "F1": 0.0, "Memory in Mb": 4.851016998291016, "Time in s": 19239.025055 }, { "step": 83732, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996536527689864, "F1": 0.0, "Memory in Mb": 4.869503021240234, "Time in s": 19908.351772 }, { "step": 85635, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999661349463998, "F1": 0.0, "Memory in Mb": 4.886287689208984, "Time in s": 20582.843626 }, { "step": 87538, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996687115162732, "F1": 0.0, "Memory in Mb": 4.888690948486328, "Time in s": 21262.535161 }, { "step": 89441, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.99966457960644, "F1": 0.0, "Memory in Mb": 4.888484954833984, "Time in s": 21947.343422 }, { "step": 91344, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.999671567607808, "F1": 0.0, "Memory in Mb": 4.876293182373047, "Time in s": 22637.362347 }, { "step": 93247, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996782703815712, "F1": 0.0, "Memory in Mb": 4.905620574951172, "Time in s": 23332.514825 }, { "step": 95150, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996847050415664, "F1": 0.0, "Memory in Mb": 4.880191802978516, "Time in s": 24032.848442 }, { "step": 95156, "track": "Binary classification", "model": "Stacking", "dataset": "SMTP", "Accuracy": 0.9996847249224948, "F1": 0.0, "Memory in Mb": 4.888683319091797, "Time in s": 24733.238041 }, { "step": 106, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.6761904761904762, "F1": 0.6136363636363638, "Memory in Mb": 0.1434221267700195, "Time in s": 0.374142 }, { "step": 212, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.7772511848341233, "F1": 0.7374301675977653, "Memory in Mb": 0.2354059219360351, "Time in s": 1.3677169999999998 }, { "step": 318, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.7886435331230284, "F1": 0.7527675276752769, "Memory in Mb": 0.3270235061645508, "Time in s": 3.238746 }, { "step": 424, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.7990543735224587, "F1": 0.7658402203856748, "Memory in Mb": 0.419011116027832, "Time in s": 6.2520690000000005 }, { "step": 530, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8015122873345936, "F1": 0.7575057736720554, "Memory in Mb": 2.719620704650879, "Time in s": 30.609494 }, { "step": 636, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8173228346456692, "F1": 0.7777777777777779, "Memory in Mb": 3.159085273742676, "Time in s": 56.745796 }, { "step": 742, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8259109311740891, "F1": 0.7839195979899498, "Memory in Mb": 3.6036806106567374, "Time in s": 84.9251 }, { "step": 848, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8299881936245572, "F1": 0.7913043478260869, "Memory in Mb": 4.0666093826293945, "Time in s": 115.117686 }, { "step": 954, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8352570828961176, "F1": 0.7963683527885861, "Memory in Mb": 4.521588325500488, "Time in s": 147.5017 }, { "step": 1060, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8470254957507082, "F1": 0.8094117647058824, "Memory in Mb": 4.660099983215332, "Time in s": 182.008963 }, { "step": 1166, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8497854077253219, "F1": 0.8132337246531482, "Memory in Mb": 4.474972724914551, "Time in s": 218.357961 }, { "step": 1272, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8489378442171518, "F1": 0.8135922330097087, "Memory in Mb": 4.3258256912231445, "Time in s": 256.411001 }, { "step": 1378, "track": "Binary classification", "model": "Voting", "dataset": "Bananas", "Accuracy": 0.8482207697893972, "F1": 0.8112014453477868, "Memory in Mb": 4.1847429275512695, "Time in s": 296.011707 }, {