Skip to content

Multiclass classification

Model Dataset Accuracy MicroF1 MacroF1 Memory in Mb Time in s
ADWIN Bagging ImageSegments 0.777826 0.777826 0.765011 4.11628 3543.55
ADWIN Bagging Insects 0.579465 0.579465 0.570198 15.3074 60279.4
ADWIN Bagging Keystroke 0.81656 0.81656 0.815908 37.8558 41308
AdaBoost ImageSegments 0.804677 0.804677 0.79777 4.09839 3350.88
AdaBoost Insects 0.563532 0.563532 0.554622 27.943 60335.7
AdaBoost Keystroke 0.834796 0.834796 0.836062 194.794 51861.3
Adaptive Random Forest ImageSegments 0.818536 0.818536 0.814535 3.06348 1574.18
Adaptive Random Forest Insects 0.745378 0.745378 0.743302 0.361794 25383.5
Adaptive Random Forest Keystroke 0.969116 0.969116 0.969111 1.63546 7363.05
Aggregated Mondrian Forest ImageSegments 0.901689 0.901689 0.900381 17.0502 2997.7
Aggregated Mondrian Forest Insects 0.646981 0.646981 0.644352 1365.41 76295.7
Aggregated Mondrian Forest Keystroke 0.881073 0.881073 0.879928 338.139 35528.4
Bagging ImageSegments 0.77696 0.77696 0.764564 4.15507 3634.88
Bagging Insects 0.606392 0.606392 0.598542 3.69162 65237
Bagging Keystroke 0.669739 0.669739 0.669981 50.3449 55411.4
Hoeffding Adaptive Tree ImageSegments 0.774361 0.774361 0.763362 0.423797 457.311
Hoeffding Adaptive Tree Insects 0.613337 0.613337 0.604219 0.143826 11292.9
Hoeffding Adaptive Tree Keystroke 0.723124 0.723124 0.721825 0.724475 8998.46
Hoeffding Tree ImageSegments 0.776094 0.776094 0.763137 0.417154 328.067
Hoeffding Tree Insects 0.537306 0.537306 0.527364 2.51923 7445.36
Hoeffding Tree Keystroke 0.648218 0.648218 0.647249 5.09445 7138.73
Leveraging Bagging ImageSegments 0.778259 0.778259 0.766016 4.1005 8561.3
Leveraging Bagging Insects 0.695858 0.695858 0.690508 13.831 99120.2
Leveraging Bagging Keystroke 0.956616 0.956616 0.95665 7.40999 37049.1
Naive Bayes ImageSegments 0.731919 0.731919 0.730419 0.390004 248.959
Naive Bayes Insects 0.506897 0.506897 0.493019 0.611693 4263.77
Naive Bayes Keystroke 0.652532 0.652532 0.651577 4.86901 3544.69
Stacking ImageSegments 0.867908 0.867908 0.865603 9.18162 5416.88
Stacking Insects 0.754745 0.754745 0.752818 10.5864 72115
Stacking Keystroke 0.975489 0.975489 0.975486 18.7111 42471.8
Streaming Random Patches ImageSegments 0.766999 0.766999 0.764707 8.92653 6441.81
Streaming Random Patches Insects 0.736163 0.736163 0.734622 9.632 90031.6
Streaming Random Patches Keystroke 0.955929 0.955929 0.95592 39.636 31009.8
Voting ImageSegments 0.80641 0.80641 0.798999 6.07392 3157.94
Voting Insects 0.648533 0.648533 0.638 9.40652 48163.7
Voting Keystroke 0.779107 0.779107 0.784136 16.3925 29779.2
[baseline] Last Class ImageSegments 0.148116 0.148116 0.148116 0.00136948 31.4159
[baseline] Last Class Insects 0.289761 0.289761 0.289763 0.00138664 679.004
[baseline] Last Class Keystroke 0.997549 0.997549 0.997549 0.00504208 274.675
k-Nearest Neighbors ImageSegments 0.873538 0.873538 0.872136 5.26871 2666.29
k-Nearest Neighbors Insects 0.713115 0.713115 0.711381 6.27269 40639.9
k-Nearest Neighbors Keystroke 0.910486 0.910486 0.910328 6.32511 21326.5

Try reloading the page if something is buggy

{ "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "data": { "values": [ { "step": 46, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.4666666666666667, "MicroF1": 0.4666666666666667, "MacroF1": 0.4009102009102009, "Memory in Mb": 0.3899507522583008, "Time in s": 0.450679 }, { "step": 92, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5604395604395604, "MicroF1": 0.5604395604395604, "MacroF1": 0.5279334700387331, "Memory in Mb": 0.3899507522583008, "Time in s": 1.152847 }, { "step": 138, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5474452554744526, "MicroF1": 0.5474452554744526, "MacroF1": 0.5191892873237387, "Memory in Mb": 0.3899774551391601, "Time in s": 2.278305 }, { "step": 184, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5573770491803278, "MicroF1": 0.5573770491803278, "MacroF1": 0.5225713529323662, "Memory in Mb": 0.3899507522583008, "Time in s": 3.449742 }, { "step": 230, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5545851528384279, "MicroF1": 0.5545851528384279, "MacroF1": 0.5217226223148511, "Memory in Mb": 0.3899774551391601, "Time in s": 4.939578 }, { "step": 276, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.56, "MicroF1": 0.56, "MacroF1": 0.5450388711329709, "Memory in Mb": 0.3899774551391601, "Time in s": 6.667081 }, { "step": 322, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5825545171339563, "MicroF1": 0.5825545171339563, "MacroF1": 0.5566705826058684, "Memory in Mb": 0.3900041580200195, "Time in s": 8.548779999999999 }, { "step": 368, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5940054495912807, "MicroF1": 0.5940054495912807, "MacroF1": 0.5613773296963412, "Memory in Mb": 0.3900041580200195, "Time in s": 10.607026 }, { "step": 414, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.5980629539951574, "MicroF1": 0.5980629539951574, "MacroF1": 0.5624927052752284, "Memory in Mb": 0.3900041580200195, "Time in s": 12.811145 }, { "step": 460, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.599128540305011, "MicroF1": 0.599128540305011, "MacroF1": 0.5669821167583783, "Memory in Mb": 0.3899774551391601, "Time in s": 15.144022 }, { "step": 506, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6099009900990099, "MicroF1": 0.6099009900990099, "MacroF1": 0.592228619098681, "Memory in Mb": 0.3900041580200195, "Time in s": 17.683543 }, { "step": 552, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6116152450090744, "MicroF1": 0.6116152450090744, "MacroF1": 0.5983340184133136, "Memory in Mb": 0.3899507522583008, "Time in s": 20.357047 }, { "step": 598, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6180904522613065, "MicroF1": 0.6180904522613065, "MacroF1": 0.611527101723203, "Memory in Mb": 0.3899774551391601, "Time in s": 23.213992 }, { "step": 644, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6158631415241057, "MicroF1": 0.6158631415241057, "MacroF1": 0.6113311881078581, "Memory in Mb": 0.3899774551391601, "Time in s": 26.205369 }, { "step": 690, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6182873730043541, "MicroF1": 0.6182873730043541, "MacroF1": 0.6150189987146761, "Memory in Mb": 0.3899774551391601, "Time in s": 29.350024 }, { "step": 736, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.617687074829932, "MicroF1": 0.617687074829932, "MacroF1": 0.6157912419016742, "Memory in Mb": 0.3899774551391601, "Time in s": 32.567265 }, { "step": 782, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6274007682458387, "MicroF1": 0.6274007682458387, "MacroF1": 0.6216325704223051, "Memory in Mb": 0.3899774551391601, "Time in s": 36.027093 }, { "step": 828, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6324062877871826, "MicroF1": 0.6324062877871826, "MacroF1": 0.6280704917469789, "Memory in Mb": 0.3899774551391601, "Time in s": 39.646129 }, { "step": 874, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6426116838487973, "MicroF1": 0.6426116838487973, "MacroF1": 0.6349558095046656, "Memory in Mb": 0.3899774551391601, "Time in s": 43.417442 }, { "step": 920, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6485310119695321, "MicroF1": 0.6485310119695321, "MacroF1": 0.6384515982514894, "Memory in Mb": 0.3899774551391601, "Time in s": 47.360213 }, { "step": 966, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6507772020725389, "MicroF1": 0.6507772020725389, "MacroF1": 0.6399118827528387, "Memory in Mb": 0.3899774551391601, "Time in s": 51.459671 }, { "step": 1012, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6508407517309595, "MicroF1": 0.6508407517309595, "MacroF1": 0.6387857120889422, "Memory in Mb": 0.3899774551391601, "Time in s": 55.677121 }, { "step": 1058, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6537369914853358, "MicroF1": 0.6537369914853358, "MacroF1": 0.6398811322847953, "Memory in Mb": 0.3899774551391601, "Time in s": 60.129657 }, { "step": 1104, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.658204895738894, "MicroF1": 0.658204895738894, "MacroF1": 0.6463297068165035, "Memory in Mb": 0.3899774551391601, "Time in s": 64.716333 }, { "step": 1150, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6640557006092254, "MicroF1": 0.6640557006092254, "MacroF1": 0.6508930463144657, "Memory in Mb": 0.3900041580200195, "Time in s": 69.425449 }, { "step": 1196, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6702928870292887, "MicroF1": 0.6702928870292887, "MacroF1": 0.6599370641329333, "Memory in Mb": 0.3900041580200195, "Time in s": 74.368592 }, { "step": 1242, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6736502820306205, "MicroF1": 0.6736502820306205, "MacroF1": 0.669511465798708, "Memory in Mb": 0.3900041580200195, "Time in s": 79.42749 }, { "step": 1288, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6822066822066822, "MicroF1": 0.6822066822066822, "MacroF1": 0.6790074545382362, "Memory in Mb": 0.3900041580200195, "Time in s": 84.676077 }, { "step": 1334, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6841710427606902, "MicroF1": 0.6841710427606902, "MacroF1": 0.6834974476087327, "Memory in Mb": 0.3900041580200195, "Time in s": 90.04929600000001 }, { "step": 1380, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6874546773023931, "MicroF1": 0.6874546773023931, "MacroF1": 0.687676692272135, "Memory in Mb": 0.3900041580200195, "Time in s": 95.54439700000002 }, { "step": 1426, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.6919298245614035, "MicroF1": 0.6919298245614035, "MacroF1": 0.6930786661709784, "Memory in Mb": 0.3900041580200195, "Time in s": 101.25523300000002 }, { "step": 1472, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.698844323589395, "MicroF1": 0.698844323589395, "MacroF1": 0.6985606658027719, "Memory in Mb": 0.3899774551391601, "Time in s": 107.09626300000002 }, { "step": 1518, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7027027027027027, "MicroF1": 0.7027027027027027, "MacroF1": 0.7017787722939461, "Memory in Mb": 0.3900041580200195, "Time in s": 113.17857300000004 }, { "step": 1564, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7056941778630839, "MicroF1": 0.7056941778630839, "MacroF1": 0.7062915374924865, "Memory in Mb": 0.3899774551391601, "Time in s": 119.38367200000005 }, { "step": 1610, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7078931013051585, "MicroF1": 0.7078931013051585, "MacroF1": 0.7081385387673028, "Memory in Mb": 0.3899774551391601, "Time in s": 125.72760100000004 }, { "step": 1656, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7093655589123867, "MicroF1": 0.7093655589123867, "MacroF1": 0.7109488618373111, "Memory in Mb": 0.3899507522583008, "Time in s": 132.27559300000004 }, { "step": 1702, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7101704879482658, "MicroF1": 0.7101704879482658, "MacroF1": 0.7132092257742534, "Memory in Mb": 0.3899774551391601, "Time in s": 138.94755600000005 }, { "step": 1748, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7143674871207785, "MicroF1": 0.7143674871207784, "MacroF1": 0.7178399485500211, "Memory in Mb": 0.3899507522583008, "Time in s": 145.68584300000003 }, { "step": 1794, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7172336865588399, "MicroF1": 0.7172336865588399, "MacroF1": 0.7191260584555579, "Memory in Mb": 0.3899774551391601, "Time in s": 152.67811600000005 }, { "step": 1840, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7199564980967917, "MicroF1": 0.7199564980967917, "MacroF1": 0.7217017555070446, "Memory in Mb": 0.3900041580200195, "Time in s": 159.82058900000004 }, { "step": 1886, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7204244031830239, "MicroF1": 0.7204244031830238, "MacroF1": 0.7234495525792994, "Memory in Mb": 0.3900041580200195, "Time in s": 167.13449700000004 }, { "step": 1932, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7219057483169342, "MicroF1": 0.7219057483169342, "MacroF1": 0.7238483512148008, "Memory in Mb": 0.3900041580200195, "Time in s": 174.57489300000003 }, { "step": 1978, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.723823975720789, "MicroF1": 0.723823975720789, "MacroF1": 0.7251399238639739, "Memory in Mb": 0.3900041580200195, "Time in s": 182.21825900000005 }, { "step": 2024, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.726643598615917, "MicroF1": 0.726643598615917, "MacroF1": 0.7268553573885639, "Memory in Mb": 0.3900041580200195, "Time in s": 189.97396200000009 }, { "step": 2070, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7269212179797003, "MicroF1": 0.7269212179797003, "MacroF1": 0.7276782991451582, "Memory in Mb": 0.3900041580200195, "Time in s": 197.92708900000005 }, { "step": 2116, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7286052009456265, "MicroF1": 0.7286052009456266, "MacroF1": 0.7283656039279267, "Memory in Mb": 0.3900041580200195, "Time in s": 206.04766600000005 }, { "step": 2162, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7306802406293382, "MicroF1": 0.7306802406293383, "MacroF1": 0.7303992643507475, "Memory in Mb": 0.3900041580200195, "Time in s": 214.36632800000004 }, { "step": 2208, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.733574988672406, "MicroF1": 0.733574988672406, "MacroF1": 0.7322842940126589, "Memory in Mb": 0.3900041580200195, "Time in s": 222.77231300000005 }, { "step": 2254, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7314691522414558, "MicroF1": 0.7314691522414558, "MacroF1": 0.7300322879925133, "Memory in Mb": 0.3900041580200195, "Time in s": 231.40748800000003 }, { "step": 2300, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7316224445411048, "MicroF1": 0.7316224445411048, "MacroF1": 0.7300416811383057, "Memory in Mb": 0.3900041580200195, "Time in s": 240.14309800000004 }, { "step": 2310, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "ImageSegments", "Accuracy": 0.7319185794716327, "MicroF1": 0.7319185794716329, "MacroF1": 0.7304188192194185, "Memory in Mb": 0.3900041580200195, "Time in s": 248.95897400000004 }, { "step": 1056, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.623696682464455, "MicroF1": 0.623696682464455, "MacroF1": 0.5870724729616662, "Memory in Mb": 0.6116933822631836, "Time in s": 4.116407 }, { "step": 2112, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6148744670772146, "MicroF1": 0.6148744670772146, "MacroF1": 0.5800776869595596, "Memory in Mb": 0.6116933822631836, "Time in s": 12.008893 }, { "step": 3168, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6065677297126618, "MicroF1": 0.6065677297126618, "MacroF1": 0.5714781230184183, "Memory in Mb": 0.6116933822631836, "Time in s": 23.636521 }, { "step": 4224, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6043097324177126, "MicroF1": 0.6043097324177126, "MacroF1": 0.5697541737710122, "Memory in Mb": 0.6116933822631836, "Time in s": 38.735534 }, { "step": 5280, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6088274294373934, "MicroF1": 0.6088274294373934, "MacroF1": 0.5727560614138387, "Memory in Mb": 0.6116933822631836, "Time in s": 57.253764 }, { "step": 6336, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6023677979479084, "MicroF1": 0.6023677979479084, "MacroF1": 0.5679597008529512, "Memory in Mb": 0.6116933822631836, "Time in s": 79.038555 }, { "step": 7392, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5995129211202814, "MicroF1": 0.5995129211202814, "MacroF1": 0.5652603100832261, "Memory in Mb": 0.6116933822631836, "Time in s": 104.109779 }, { "step": 8448, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6019888717888008, "MicroF1": 0.6019888717888008, "MacroF1": 0.5673514925692325, "Memory in Mb": 0.6116933822631836, "Time in s": 132.296427 }, { "step": 9504, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5993896664211301, "MicroF1": 0.5993896664211301, "MacroF1": 0.5644951651039589, "Memory in Mb": 0.6116933822631836, "Time in s": 163.68164199999998 }, { "step": 10560, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5994885879344635, "MicroF1": 0.5994885879344635, "MacroF1": 0.564565538599863, "Memory in Mb": 0.6116933822631836, "Time in s": 198.252114 }, { "step": 11616, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5972449418854929, "MicroF1": 0.5972449418854929, "MacroF1": 0.5631227877868952, "Memory in Mb": 0.6116933822631836, "Time in s": 235.999104 }, { "step": 12672, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6001894088864336, "MicroF1": 0.6001894088864336, "MacroF1": 0.5684733590606373, "Memory in Mb": 0.6116933822631836, "Time in s": 276.973484 }, { "step": 13728, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6120783856632913, "MicroF1": 0.6120783856632913, "MacroF1": 0.5935173038317552, "Memory in Mb": 0.6116933822631836, "Time in s": 321.087465 }, { "step": 14784, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.6024487587093282, "MicroF1": 0.6024487587093282, "MacroF1": 0.5841270876002982, "Memory in Mb": 0.6116933822631836, "Time in s": 368.414891 }, { "step": 15840, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5676494728202538, "MicroF1": 0.5676494728202538, "MacroF1": 0.5507155080701159, "Memory in Mb": 0.6116933822631836, "Time in s": 418.926748 }, { "step": 16896, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5418762947617638, "MicroF1": 0.5418762947617638, "MacroF1": 0.5256197352354142, "Memory in Mb": 0.6116933822631836, "Time in s": 472.672831 }, { "step": 17952, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5232020500250683, "MicroF1": 0.5232020500250683, "MacroF1": 0.5066898143269706, "Memory in Mb": 0.6116933822631836, "Time in s": 529.5973250000001 }, { "step": 19008, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5118640500868101, "MicroF1": 0.5118640500868101, "MacroF1": 0.4926543583964285, "Memory in Mb": 0.6116933822631836, "Time in s": 589.87103 }, { "step": 20064, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5103922643672432, "MicroF1": 0.5103922643672432, "MacroF1": 0.4900586962359796, "Memory in Mb": 0.6116933822631836, "Time in s": 653.257514 }, { "step": 21120, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5115772527108291, "MicroF1": 0.5115772527108291, "MacroF1": 0.4910837640903744, "Memory in Mb": 0.6116933822631836, "Time in s": 719.720849 }, { "step": 22176, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5140022547914318, "MicroF1": 0.5140022547914318, "MacroF1": 0.4932541888231957, "Memory in Mb": 0.6116933822631836, "Time in s": 789.2473650000001 }, { "step": 23232, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5154319659076234, "MicroF1": 0.5154319659076234, "MacroF1": 0.4943013417599926, "Memory in Mb": 0.6116933822631836, "Time in s": 861.9200270000001 }, { "step": 24288, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5184254951208466, "MicroF1": 0.5184254951208466, "MacroF1": 0.4965832238311332, "Memory in Mb": 0.6116933822631836, "Time in s": 937.628382 }, { "step": 25344, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5225111470623052, "MicroF1": 0.5225111470623052, "MacroF1": 0.499893079239698, "Memory in Mb": 0.6116933822631836, "Time in s": 1016.433905 }, { "step": 26400, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5257396113489148, "MicroF1": 0.5257396113489148, "MacroF1": 0.5022487669255871, "Memory in Mb": 0.6116933822631836, "Time in s": 1098.325454 }, { "step": 27456, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5301402294663996, "MicroF1": 0.5301402294663996, "MacroF1": 0.5051550433324518, "Memory in Mb": 0.6116933822631836, "Time in s": 1183.302333 }, { "step": 28512, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5277261407877661, "MicroF1": 0.5277261407877661, "MacroF1": 0.5036945145235058, "Memory in Mb": 0.6116933822631836, "Time in s": 1271.323869 }, { "step": 29568, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5204450908107011, "MicroF1": 0.5204450908107011, "MacroF1": 0.4989008712312768, "Memory in Mb": 0.6116933822631836, "Time in s": 1362.446785 }, { "step": 30624, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5147111648107632, "MicroF1": 0.5147111648107632, "MacroF1": 0.495826840073632, "Memory in Mb": 0.6116933822631836, "Time in s": 1456.7074690000002 }, { "step": 31680, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5105590454244137, "MicroF1": 0.5105590454244137, "MacroF1": 0.4941101813344875, "Memory in Mb": 0.6116933822631836, "Time in s": 1553.9918670000002 }, { "step": 32736, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5075607148312204, "MicroF1": 0.5075607148312204, "MacroF1": 0.4931947798921405, "Memory in Mb": 0.6116933822631836, "Time in s": 1654.355087 }, { "step": 33792, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5044538486579266, "MicroF1": 0.5044538486579266, "MacroF1": 0.4905626123916189, "Memory in Mb": 0.6116933822631836, "Time in s": 1757.6376 }, { "step": 34848, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5020231296811777, "MicroF1": 0.5020231296811777, "MacroF1": 0.487879842488124, "Memory in Mb": 0.6116933822631836, "Time in s": 1863.925375 }, { "step": 35904, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4998746622844887, "MicroF1": 0.4998746622844887, "MacroF1": 0.4853435061152475, "Memory in Mb": 0.6116933822631836, "Time in s": 1973.177917 }, { "step": 36960, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4967937444194918, "MicroF1": 0.4967937444194918, "MacroF1": 0.4819418474093529, "Memory in Mb": 0.6116933822631836, "Time in s": 2085.445724 }, { "step": 38016, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4955938445350519, "MicroF1": 0.4955938445350519, "MacroF1": 0.4801892436835747, "Memory in Mb": 0.6116933822631836, "Time in s": 2200.821931 }, { "step": 39072, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4940237004427836, "MicroF1": 0.4940237004427836, "MacroF1": 0.478380783820526, "Memory in Mb": 0.6116933822631836, "Time in s": 2319.178703 }, { "step": 40128, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.493508111745209, "MicroF1": 0.493508111745209, "MacroF1": 0.4785213801670671, "Memory in Mb": 0.6116933822631836, "Time in s": 2440.443075 }, { "step": 41184, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4936988563242114, "MicroF1": 0.4936988563242114, "MacroF1": 0.4794201499427274, "Memory in Mb": 0.6116933822631836, "Time in s": 2564.583087 }, { "step": 42240, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4938800634484718, "MicroF1": 0.4938800634484718, "MacroF1": 0.4802377497532935, "Memory in Mb": 0.6116933822631836, "Time in s": 2691.651665 }, { "step": 43296, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4943757939715902, "MicroF1": 0.4943757939715902, "MacroF1": 0.4812132921167227, "Memory in Mb": 0.6116933822631836, "Time in s": 2821.601336 }, { "step": 44352, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.494036211133909, "MicroF1": 0.494036211133909, "MacroF1": 0.4812388919618418, "Memory in Mb": 0.6116933822631836, "Time in s": 2954.377766 }, { "step": 45408, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4944832294580131, "MicroF1": 0.4944832294580131, "MacroF1": 0.4818441874360225, "Memory in Mb": 0.6116933822631836, "Time in s": 3089.8310679999995 }, { "step": 46464, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4945225232981082, "MicroF1": 0.4945225232981082, "MacroF1": 0.4820791268335544, "Memory in Mb": 0.6116933822631836, "Time in s": 3227.9665449999998 }, { "step": 47520, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4956333256171216, "MicroF1": 0.4956333256171216, "MacroF1": 0.4833168636021498, "Memory in Mb": 0.6116933822631836, "Time in s": 3368.688097999999 }, { "step": 48576, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4970869788986104, "MicroF1": 0.4970869788986104, "MacroF1": 0.4846703771634363, "Memory in Mb": 0.6116933822631836, "Time in s": 3511.887438999999 }, { "step": 49632, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.4987608551107171, "MicroF1": 0.4987608551107171, "MacroF1": 0.4862426724473749, "Memory in Mb": 0.6116933822631836, "Time in s": 3657.6494079999993 }, { "step": 50688, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5009568528419516, "MicroF1": 0.5009568528419516, "MacroF1": 0.4881725476999718, "Memory in Mb": 0.6116933822631836, "Time in s": 3806.011259 }, { "step": 51744, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5034497419940862, "MicroF1": 0.5034497419940862, "MacroF1": 0.4903712806540024, "Memory in Mb": 0.6116933822631836, "Time in s": 3956.893516 }, { "step": 52800, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5068467205818292, "MicroF1": 0.5068467205818292, "MacroF1": 0.4930025316136313, "Memory in Mb": 0.6116933822631836, "Time in s": 4110.278735 }, { "step": 52848, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Insects", "Accuracy": 0.5068972694760346, "MicroF1": 0.5068972694760346, "MacroF1": 0.4930190627831494, "Memory in Mb": 0.6116933822631836, "Time in s": 4263.766907 }, { "step": 408, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.9852579852579852, "MicroF1": 0.9852579852579852, "MacroF1": 0.6962686567164179, "Memory in Mb": 0.1935644149780273, "Time in s": 0.780775 }, { "step": 816, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.947239263803681, "MicroF1": 0.947239263803681, "MacroF1": 0.7418606503288051, "Memory in Mb": 0.2889022827148437, "Time in s": 2.463269 }, { "step": 1224, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.884709730171709, "MicroF1": 0.884709730171709, "MacroF1": 0.8705899666065842, "Memory in Mb": 0.3842401504516601, "Time in s": 5.15507 }, { "step": 1632, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8933169834457388, "MicroF1": 0.8933169834457388, "MacroF1": 0.8791291775937072, "Memory in Mb": 0.4795780181884765, "Time in s": 8.960951 }, { "step": 2040, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8921039725355566, "MicroF1": 0.8921039725355566, "MacroF1": 0.8831785360852743, "Memory in Mb": 0.575160026550293, "Time in s": 14.051639 }, { "step": 2448, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.851655087862689, "MicroF1": 0.851655087862689, "MacroF1": 0.8581984289516641, "Memory in Mb": 0.6704978942871094, "Time in s": 20.582882 }, { "step": 2856, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8598949211908932, "MicroF1": 0.8598949211908932, "MacroF1": 0.8469962214365346, "Memory in Mb": 0.7658357620239258, "Time in s": 28.649143 }, { "step": 3264, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8513637756665645, "MicroF1": 0.8513637756665645, "MacroF1": 0.8281280134770846, "Memory in Mb": 0.8611736297607422, "Time in s": 38.532046 }, { "step": 3672, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8422773086352493, "MicroF1": 0.8422773086352493, "MacroF1": 0.8409307955747314, "Memory in Mb": 0.9565114974975586, "Time in s": 50.273206 }, { "step": 4080, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8367246874233881, "MicroF1": 0.8367246874233881, "MacroF1": 0.8249418657104467, "Memory in Mb": 1.0523834228515625, "Time in s": 63.882498 }, { "step": 4488, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8203699576554491, "MicroF1": 0.8203699576554491, "MacroF1": 0.8300896799820437, "Memory in Mb": 1.147721290588379, "Time in s": 79.531469 }, { "step": 4896, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8192032686414709, "MicroF1": 0.8192032686414709, "MacroF1": 0.8269731591910484, "Memory in Mb": 1.243059158325195, "Time in s": 97.310117 }, { "step": 5304, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.8172732415613804, "MicroF1": 0.8172732415613804, "MacroF1": 0.8027823390848743, "Memory in Mb": 1.3383970260620115, "Time in s": 117.35519 }, { "step": 5712, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7961828051129399, "MicroF1": 0.7961828051129399, "MacroF1": 0.8002006091139847, "Memory in Mb": 1.433734893798828, "Time in s": 139.817583 }, { "step": 6120, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.793920575257395, "MicroF1": 0.793920575257395, "MacroF1": 0.7746960355921345, "Memory in Mb": 1.5290727615356443, "Time in s": 164.727582 }, { "step": 6528, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7688064960931515, "MicroF1": 0.7688064960931515, "MacroF1": 0.7622487598340326, "Memory in Mb": 1.624410629272461, "Time in s": 192.151707 }, { "step": 6936, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7568853640951694, "MicroF1": 0.7568853640951694, "MacroF1": 0.757813781660983, "Memory in Mb": 1.7197484970092771, "Time in s": 222.243586 }, { "step": 7344, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7669889690862045, "MicroF1": 0.7669889690862046, "MacroF1": 0.7643943615019536, "Memory in Mb": 1.8150863647460935, "Time in s": 255.230678 }, { "step": 7752, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7676428847890595, "MicroF1": 0.7676428847890595, "MacroF1": 0.7655695901071293, "Memory in Mb": 1.9104242324829104, "Time in s": 291.218411 }, { "step": 8160, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7714180659394534, "MicroF1": 0.7714180659394533, "MacroF1": 0.7672011803374248, "Memory in Mb": 2.0057621002197266, "Time in s": 330.398823 }, { "step": 8568, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7702813120112058, "MicroF1": 0.7702813120112058, "MacroF1": 0.7699263138193525, "Memory in Mb": 2.1021223068237305, "Time in s": 372.827664 }, { "step": 8976, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7680222841225627, "MicroF1": 0.7680222841225627, "MacroF1": 0.7682287234686136, "Memory in Mb": 2.197460174560547, "Time in s": 418.63015 }, { "step": 9384, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7659597143770649, "MicroF1": 0.7659597143770649, "MacroF1": 0.7643546547243014, "Memory in Mb": 2.2927980422973637, "Time in s": 468.011111 }, { "step": 9792, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7586559084873864, "MicroF1": 0.7586559084873864, "MacroF1": 0.7552148692020618, "Memory in Mb": 2.38813591003418, "Time in s": 521.0847249999999 }, { "step": 10200, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7505637807628199, "MicroF1": 0.7505637807628199, "MacroF1": 0.7430512224080145, "Memory in Mb": 2.483473777770996, "Time in s": 577.917349 }, { "step": 10608, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7290468558499105, "MicroF1": 0.7290468558499106, "MacroF1": 0.715756093271779, "Memory in Mb": 2.5788116455078125, "Time in s": 638.790947 }, { "step": 11016, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7217430776214253, "MicroF1": 0.7217430776214253, "MacroF1": 0.7173640789896896, "Memory in Mb": 2.674149513244629, "Time in s": 703.666983 }, { "step": 11424, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7151361288628206, "MicroF1": 0.7151361288628206, "MacroF1": 0.7011862635194489, "Memory in Mb": 2.7694873809814453, "Time in s": 772.6431349999999 }, { "step": 11832, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.705603921900093, "MicroF1": 0.705603921900093, "MacroF1": 0.6976881379682607, "Memory in Mb": 2.8648252487182617, "Time in s": 845.8350979999999 }, { "step": 12240, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7094533867146009, "MicroF1": 0.7094533867146009, "MacroF1": 0.7058405389403433, "Memory in Mb": 2.960163116455078, "Time in s": 923.50335 }, { "step": 12648, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.7053846762077963, "MicroF1": 0.7053846762077963, "MacroF1": 0.6965736948063982, "Memory in Mb": 3.0555009841918945, "Time in s": 1005.753677 }, { "step": 13056, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6927613941018766, "MicroF1": 0.6927613941018766, "MacroF1": 0.6842255816736498, "Memory in Mb": 3.150838851928711, "Time in s": 1092.707972 }, { "step": 13464, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6890737577063062, "MicroF1": 0.6890737577063062, "MacroF1": 0.6845669389392289, "Memory in Mb": 3.246176719665528, "Time in s": 1184.483965 }, { "step": 13872, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6873332852714296, "MicroF1": 0.6873332852714296, "MacroF1": 0.68390545518227, "Memory in Mb": 3.341514587402344, "Time in s": 1281.216395 }, { "step": 14280, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.682960991666083, "MicroF1": 0.682960991666083, "MacroF1": 0.6781566371919944, "Memory in Mb": 3.43685245513916, "Time in s": 1383.039909 }, { "step": 14688, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.686185061619119, "MicroF1": 0.686185061619119, "MacroF1": 0.6843713776162116, "Memory in Mb": 3.532190322875977, "Time in s": 1489.909884 }, { "step": 15096, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6928784365684001, "MicroF1": 0.6928784365684001, "MacroF1": 0.6911392400672977, "Memory in Mb": 3.627528190612793, "Time in s": 1601.996709 }, { "step": 15504, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6913500612784622, "MicroF1": 0.6913500612784622, "MacroF1": 0.687359772989117, "Memory in Mb": 3.72286605834961, "Time in s": 1719.445985 }, { "step": 15912, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6819810194205267, "MicroF1": 0.6819810194205267, "MacroF1": 0.674915944935936, "Memory in Mb": 3.818203926086426, "Time in s": 1842.197498 }, { "step": 16320, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6726515105092223, "MicroF1": 0.6726515105092223, "MacroF1": 0.6670192172011686, "Memory in Mb": 3.913541793823242, "Time in s": 1970.358299 }, { "step": 16728, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6695163508100676, "MicroF1": 0.6695163508100676, "MacroF1": 0.6664051037977977, "Memory in Mb": 4.008879661560059, "Time in s": 2103.939399 }, { "step": 17136, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6650131310183834, "MicroF1": 0.6650131310183834, "MacroF1": 0.6608988619616458, "Memory in Mb": 4.1063079833984375, "Time in s": 2242.845385 }, { "step": 17544, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6568431853160804, "MicroF1": 0.6568431853160804, "MacroF1": 0.6531382897719189, "Memory in Mb": 4.201645851135254, "Time in s": 2386.822189 }, { "step": 17952, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6556180714166342, "MicroF1": 0.6556180714166342, "MacroF1": 0.6538448358590968, "Memory in Mb": 4.29698371887207, "Time in s": 2536.044428 }, { "step": 18360, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6614194672912468, "MicroF1": 0.6614194672912468, "MacroF1": 0.6603186829199909, "Memory in Mb": 4.392321586608887, "Time in s": 2690.5476860000003 }, { "step": 18768, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6669686151222891, "MicroF1": 0.6669686151222891, "MacroF1": 0.6662293616554571, "Memory in Mb": 4.487659454345703, "Time in s": 2850.3140810000004 }, { "step": 19176, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6579921773142112, "MicroF1": 0.6579921773142112, "MacroF1": 0.6554177118629491, "Memory in Mb": 4.58299732208252, "Time in s": 3015.4823350000006 }, { "step": 19584, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6622580809886126, "MicroF1": 0.6622580809886126, "MacroF1": 0.6609360990360078, "Memory in Mb": 4.678335189819336, "Time in s": 3186.2814100000005 }, { "step": 19992, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6562453103896754, "MicroF1": 0.6562453103896754, "MacroF1": 0.6545704957554572, "Memory in Mb": 4.773673057556152, "Time in s": 3362.6238980000007 }, { "step": 20400, "track": "Multiclass classification", "model": "Naive Bayes", "dataset": "Keystroke", "Accuracy": 0.6525319868621011, "MicroF1": 0.6525319868621011, "MacroF1": 0.6515767870317885, "Memory in Mb": 4.869010925292969, "Time in s": 3544.6906370000006 }, { "step": 46, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.3555555555555555, "MicroF1": 0.3555555555555555, "MacroF1": 0.2537942449707155, "Memory in Mb": 0.4170856475830078, "Time in s": 0.290301 }, { "step": 92, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.4945054945054945, "MicroF1": 0.4945054945054945, "MacroF1": 0.5043329927491418, "Memory in Mb": 0.4170818328857422, "Time in s": 0.82046 }, { "step": 138, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.5328467153284672, "MicroF1": 0.5328467153284672, "MacroF1": 0.5564033878668025, "Memory in Mb": 0.4171772003173828, "Time in s": 1.675423 }, { "step": 184, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.6010928961748634, "MicroF1": 0.6010928961748634, "MacroF1": 0.622766496539645, "Memory in Mb": 0.4171772003173828, "Time in s": 2.801183 }, { "step": 230, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.6375545851528385, "MicroF1": 0.6375545851528385, "MacroF1": 0.6539827168809461, "Memory in Mb": 0.4172000885009765, "Time in s": 4.271522 }, { "step": 276, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.6509090909090909, "MicroF1": 0.6509090909090909, "MacroF1": 0.6671561759164943, "Memory in Mb": 0.4172496795654297, "Time in s": 5.954744 }, { "step": 322, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.67601246105919, "MicroF1": 0.67601246105919, "MacroF1": 0.6756614325426025, "Memory in Mb": 0.4172496795654297, "Time in s": 7.864603 }, { "step": 368, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7029972752043597, "MicroF1": 0.7029972752043597, "MacroF1": 0.6993447851636564, "Memory in Mb": 0.4172229766845703, "Time in s": 10.008665 }, { "step": 414, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7142857142857143, "MicroF1": 0.7142857142857143, "MacroF1": 0.7108606838045498, "Memory in Mb": 0.4171428680419922, "Time in s": 12.399438 }, { "step": 460, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7145969498910676, "MicroF1": 0.7145969498910676, "MacroF1": 0.7090365931960759, "Memory in Mb": 0.4172191619873047, "Time in s": 15.01004 }, { "step": 506, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7207920792079208, "MicroF1": 0.7207920792079208, "MacroF1": 0.7126631585949761, "Memory in Mb": 0.4172191619873047, "Time in s": 17.873655 }, { "step": 552, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7223230490018149, "MicroF1": 0.7223230490018149, "MacroF1": 0.7157730164623107, "Memory in Mb": 0.4171123504638672, "Time in s": 20.946971 }, { "step": 598, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7286432160804021, "MicroF1": 0.7286432160804021, "MacroF1": 0.7216745323124732, "Memory in Mb": 0.4171352386474609, "Time in s": 24.255884 }, { "step": 644, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7278382581648523, "MicroF1": 0.7278382581648523, "MacroF1": 0.7229105183087501, "Memory in Mb": 0.4171085357666015, "Time in s": 27.838412 }, { "step": 690, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7314949201741655, "MicroF1": 0.7314949201741654, "MacroF1": 0.7263583447448078, "Memory in Mb": 0.4171085357666015, "Time in s": 31.647636 }, { "step": 736, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7333333333333333, "MicroF1": 0.7333333333333333, "MacroF1": 0.729431071218305, "Memory in Mb": 0.4171352386474609, "Time in s": 35.743157 }, { "step": 782, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7387964148527529, "MicroF1": 0.7387964148527529, "MacroF1": 0.7349287389986899, "Memory in Mb": 0.4171352386474609, "Time in s": 40.06309 }, { "step": 828, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7376058041112454, "MicroF1": 0.7376058041112454, "MacroF1": 0.7356226390109741, "Memory in Mb": 0.4171352386474609, "Time in s": 44.599844 }, { "step": 874, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7445589919816724, "MicroF1": 0.7445589919816724, "MacroF1": 0.7409366047432264, "Memory in Mb": 0.4171352386474609, "Time in s": 49.398729 }, { "step": 920, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7453754080522307, "MicroF1": 0.7453754080522307, "MacroF1": 0.7408438328939173, "Memory in Mb": 0.4171085357666015, "Time in s": 54.404894 }, { "step": 966, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7471502590673575, "MicroF1": 0.7471502590673575, "MacroF1": 0.7416651838589269, "Memory in Mb": 0.4171085357666015, "Time in s": 59.665949 }, { "step": 1012, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7467853610286844, "MicroF1": 0.7467853610286844, "MacroF1": 0.7416356251822, "Memory in Mb": 0.4171085357666015, "Time in s": 65.211169 }, { "step": 1058, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7492904446546831, "MicroF1": 0.7492904446546831, "MacroF1": 0.7430778844390783, "Memory in Mb": 0.4171085357666015, "Time in s": 70.961377 }, { "step": 1104, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7515865820489573, "MicroF1": 0.7515865820489573, "MacroF1": 0.7451256886686588, "Memory in Mb": 0.4171581268310547, "Time in s": 76.969446 }, { "step": 1150, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7536988685813751, "MicroF1": 0.7536988685813751, "MacroF1": 0.7468312166689606, "Memory in Mb": 0.4171581268310547, "Time in s": 83.201851 }, { "step": 1196, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7564853556485356, "MicroF1": 0.7564853556485356, "MacroF1": 0.7503479321738041, "Memory in Mb": 0.4171581268310547, "Time in s": 89.604352 }, { "step": 1242, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7566478646253022, "MicroF1": 0.7566478646253022, "MacroF1": 0.7509717522131719, "Memory in Mb": 0.4171581268310547, "Time in s": 96.307026 }, { "step": 1288, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7614607614607615, "MicroF1": 0.7614607614607615, "MacroF1": 0.7547643483779538, "Memory in Mb": 0.4171581268310547, "Time in s": 103.262462 }, { "step": 1334, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7614403600900225, "MicroF1": 0.7614403600900225, "MacroF1": 0.7551060921605869, "Memory in Mb": 0.4171581268310547, "Time in s": 110.41488900000002 }, { "step": 1380, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7621464829586657, "MicroF1": 0.7621464829586658, "MacroF1": 0.7562209880685912, "Memory in Mb": 0.4171581268310547, "Time in s": 117.799886 }, { "step": 1426, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7642105263157895, "MicroF1": 0.7642105263157895, "MacroF1": 0.7575332274919562, "Memory in Mb": 0.4171581268310547, "Time in s": 125.46176800000002 }, { "step": 1472, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7688647178789939, "MicroF1": 0.768864717878994, "MacroF1": 0.760438686053582, "Memory in Mb": 0.4171581268310547, "Time in s": 133.360363 }, { "step": 1518, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7705998681608438, "MicroF1": 0.7705998681608438, "MacroF1": 0.7612069012840872, "Memory in Mb": 0.4171581268310547, "Time in s": 141.48549400000002 }, { "step": 1564, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7709532949456174, "MicroF1": 0.7709532949456174, "MacroF1": 0.7622701654854867, "Memory in Mb": 0.4171581268310547, "Time in s": 149.83563600000002 }, { "step": 1610, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7712865133623369, "MicroF1": 0.771286513362337, "MacroF1": 0.7617247271717752, "Memory in Mb": 0.4171810150146484, "Time in s": 158.439217 }, { "step": 1656, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7709969788519637, "MicroF1": 0.7709969788519637, "MacroF1": 0.7615629120572474, "Memory in Mb": 0.4171810150146484, "Time in s": 167.22864700000002 }, { "step": 1702, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.770135214579659, "MicroF1": 0.770135214579659, "MacroF1": 0.7627316365695143, "Memory in Mb": 0.4171810150146484, "Time in s": 176.30742800000002 }, { "step": 1748, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7727532913566113, "MicroF1": 0.7727532913566113, "MacroF1": 0.7649467707214076, "Memory in Mb": 0.4171810150146484, "Time in s": 185.609237 }, { "step": 1794, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7741215839375348, "MicroF1": 0.7741215839375348, "MacroF1": 0.7649332326562149, "Memory in Mb": 0.417154312133789, "Time in s": 195.107308 }, { "step": 1840, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7754214246873301, "MicroF1": 0.7754214246873301, "MacroF1": 0.7664700790631908, "Memory in Mb": 0.417154312133789, "Time in s": 204.88888000000003 }, { "step": 1886, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7740053050397878, "MicroF1": 0.7740053050397878, "MacroF1": 0.7655121135276625, "Memory in Mb": 0.417154312133789, "Time in s": 214.87796100000003 }, { "step": 1932, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7742102537545313, "MicroF1": 0.7742102537545313, "MacroF1": 0.7648034036287765, "Memory in Mb": 0.417154312133789, "Time in s": 225.10774000000004 }, { "step": 1978, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7754172989377845, "MicroF1": 0.7754172989377845, "MacroF1": 0.7656013068970459, "Memory in Mb": 0.417154312133789, "Time in s": 235.56491900000003 }, { "step": 2024, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7770637666831438, "MicroF1": 0.7770637666831438, "MacroF1": 0.7660878232247856, "Memory in Mb": 0.417154312133789, "Time in s": 246.31694000000005 }, { "step": 2070, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7762203963267279, "MicroF1": 0.7762203963267279, "MacroF1": 0.7654829214385931, "Memory in Mb": 0.417154312133789, "Time in s": 257.28426500000006 }, { "step": 2116, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7768321513002364, "MicroF1": 0.7768321513002364, "MacroF1": 0.7653071619305024, "Memory in Mb": 0.417154312133789, "Time in s": 268.5154150000001 }, { "step": 2162, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7778806108283203, "MicroF1": 0.7778806108283203, "MacroF1": 0.7659351904174982, "Memory in Mb": 0.417154312133789, "Time in s": 279.94414300000005 }, { "step": 2208, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7797915722700498, "MicroF1": 0.7797915722700498, "MacroF1": 0.7668192864082087, "Memory in Mb": 0.417154312133789, "Time in s": 291.65328600000004 }, { "step": 2254, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7767421216156236, "MicroF1": 0.7767421216156236, "MacroF1": 0.7637794374955548, "Memory in Mb": 0.417154312133789, "Time in s": 303.618395 }, { "step": 2300, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.7759895606785558, "MicroF1": 0.7759895606785558, "MacroF1": 0.763026662835187, "Memory in Mb": 0.417154312133789, "Time in s": 315.80512400000003 }, { "step": 2310, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "ImageSegments", "Accuracy": 0.776093546990039, "MicroF1": 0.776093546990039, "MacroF1": 0.7631372452021826, "Memory in Mb": 0.417154312133789, "Time in s": 328.06738900000005 }, { "step": 1056, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6218009478672986, "MicroF1": 0.6218009478672986, "MacroF1": 0.5852663107194211, "Memory in Mb": 0.6579360961914062, "Time in s": 7.68277 }, { "step": 2112, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6153481762198011, "MicroF1": 0.6153481762198011, "MacroF1": 0.5806436317780949, "Memory in Mb": 0.6579360961914062, "Time in s": 22.565114 }, { "step": 3168, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6071992421850332, "MicroF1": 0.6071992421850332, "MacroF1": 0.572248584718361, "Memory in Mb": 0.6579360961914062, "Time in s": 43.997682 }, { "step": 4224, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6043097324177126, "MicroF1": 0.6043097324177126, "MacroF1": 0.5697573109597247, "Memory in Mb": 0.6579360961914062, "Time in s": 71.858443 }, { "step": 5280, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6088274294373934, "MicroF1": 0.6088274294373934, "MacroF1": 0.5727379077413696, "Memory in Mb": 0.6579360961914062, "Time in s": 105.92484 }, { "step": 6336, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6026835043409629, "MicroF1": 0.6026835043409629, "MacroF1": 0.568251333238805, "Memory in Mb": 0.6579360961914062, "Time in s": 146.287253 }, { "step": 7392, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.600189419564335, "MicroF1": 0.600189419564335, "MacroF1": 0.5659762112716077, "Memory in Mb": 0.6579360961914062, "Time in s": 192.863981 }, { "step": 8448, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.60258079791642, "MicroF1": 0.60258079791642, "MacroF1": 0.5679781484640408, "Memory in Mb": 0.6579360961914062, "Time in s": 245.806734 }, { "step": 9504, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5998105861306956, "MicroF1": 0.5998105861306956, "MacroF1": 0.5649597336877693, "Memory in Mb": 0.6579360961914062, "Time in s": 305.14044 }, { "step": 10560, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5998674116867128, "MicroF1": 0.5998674116867128, "MacroF1": 0.5650173260529011, "Memory in Mb": 0.6579360961914062, "Time in s": 370.680891 }, { "step": 11616, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5974171330176495, "MicroF1": 0.5974171330176495, "MacroF1": 0.5633067089377387, "Memory in Mb": 0.6579360961914062, "Time in s": 442.338443 }, { "step": 12672, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6001894088864336, "MicroF1": 0.6001894088864336, "MacroF1": 0.5684760329567131, "Memory in Mb": 0.6579360961914062, "Time in s": 520.121563 }, { "step": 13728, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6120783856632913, "MicroF1": 0.6120783856632913, "MacroF1": 0.5935956771555828, "Memory in Mb": 0.6579360961914062, "Time in s": 604.039429 }, { "step": 14784, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.6024487587093282, "MicroF1": 0.6024487587093282, "MacroF1": 0.5842148300149193, "Memory in Mb": 0.6579360961914062, "Time in s": 694.113241 }, { "step": 15840, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5677757434181451, "MicroF1": 0.5677757434181451, "MacroF1": 0.5509250187877572, "Memory in Mb": 0.6579360961914062, "Time in s": 790.19156 }, { "step": 16896, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5419354838709678, "MicroF1": 0.5419354838709678, "MacroF1": 0.5257359157219258, "Memory in Mb": 0.6579360961914062, "Time in s": 892.361186 }, { "step": 17952, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5233691716338923, "MicroF1": 0.5233691716338923, "MacroF1": 0.5068581838352059, "Memory in Mb": 0.6579360961914062, "Time in s": 1000.471748 }, { "step": 19008, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5121271110643447, "MicroF1": 0.5121271110643447, "MacroF1": 0.4929289906509415, "Memory in Mb": 0.6579360961914062, "Time in s": 1114.494528 }, { "step": 20064, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5120370831879579, "MicroF1": 0.5120370831879579, "MacroF1": 0.4920970323041603, "Memory in Mb": 1.3099584579467771, "Time in s": 1234.20565 }, { "step": 21120, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5173066906577016, "MicroF1": 0.5173066906577016, "MacroF1": 0.4973447169836249, "Memory in Mb": 1.310713768005371, "Time in s": 1358.925583 }, { "step": 22176, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5229312288613304, "MicroF1": 0.5229312288613304, "MacroF1": 0.5026343687424488, "Memory in Mb": 1.310713768005371, "Time in s": 1488.370808 }, { "step": 23232, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5301536739701261, "MicroF1": 0.5301536739701261, "MacroF1": 0.5095132087733324, "Memory in Mb": 1.310713768005371, "Time in s": 1622.41448 }, { "step": 24288, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5351422571746202, "MicroF1": 0.5351422571746202, "MacroF1": 0.5135975374357353, "Memory in Mb": 1.310713768005371, "Time in s": 1760.8970379999998 }, { "step": 25344, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5403069881229531, "MicroF1": 0.5403069881229531, "MacroF1": 0.5180803411538233, "Memory in Mb": 1.310713768005371, "Time in s": 1903.591145 }, { "step": 26400, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5441493995984696, "MicroF1": 0.5441493995984696, "MacroF1": 0.5209012984387186, "Memory in Mb": 1.310713768005371, "Time in s": 2050.469487 }, { "step": 27456, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5475869604807867, "MicroF1": 0.5475869604807867, "MacroF1": 0.5230407124785976, "Memory in Mb": 1.310713768005371, "Time in s": 2201.55681 }, { "step": 28512, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5442460804601733, "MicroF1": 0.5442460804601733, "MacroF1": 0.5199893698637053, "Memory in Mb": 1.310713768005371, "Time in s": 2356.711105 }, { "step": 29568, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5439848479724017, "MicroF1": 0.5439848479724017, "MacroF1": 0.5225387960194383, "Memory in Mb": 1.310713768005371, "Time in s": 2516.62263 }, { "step": 30624, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5449825294713124, "MicroF1": 0.5449825294713124, "MacroF1": 0.5260472440529832, "Memory in Mb": 1.310713768005371, "Time in s": 2681.546079 }, { "step": 31680, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5469238296663405, "MicroF1": 0.5469238296663405, "MacroF1": 0.5300194392617626, "Memory in Mb": 1.310713768005371, "Time in s": 2851.622305 }, { "step": 32736, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5492286543455017, "MicroF1": 0.5492286543455017, "MacroF1": 0.5337692045397758, "Memory in Mb": 1.310713768005371, "Time in s": 3026.797274 }, { "step": 33792, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5448196265277737, "MicroF1": 0.5448196265277737, "MacroF1": 0.5298516474077153, "Memory in Mb": 1.310713768005371, "Time in s": 3207.119826 }, { "step": 34848, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.539357763939507, "MicroF1": 0.539357763939507, "MacroF1": 0.5246413689313029, "Memory in Mb": 1.310713768005371, "Time in s": 3392.401024 }, { "step": 35904, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5352756037099964, "MicroF1": 0.5352756037099964, "MacroF1": 0.5204658240271913, "Memory in Mb": 1.310713768005371, "Time in s": 3582.6817720000004 }, { "step": 36960, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5307232338537298, "MicroF1": 0.5307232338537298, "MacroF1": 0.5158458403074864, "Memory in Mb": 1.310713768005371, "Time in s": 3778.309285 }, { "step": 38016, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5287912666052874, "MicroF1": 0.5287912666052874, "MacroF1": 0.5138605376143625, "Memory in Mb": 1.8479537963867188, "Time in s": 3978.822433 }, { "step": 39072, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5245322617798367, "MicroF1": 0.5245322617798367, "MacroF1": 0.5100329616180462, "Memory in Mb": 1.9625730514526367, "Time in s": 4184.1075280000005 }, { "step": 40128, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5244847608841927, "MicroF1": 0.5244847608841927, "MacroF1": 0.5114466799524962, "Memory in Mb": 1.9625730514526367, "Time in s": 4393.646320000001 }, { "step": 41184, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5269650098341548, "MicroF1": 0.5269650098341548, "MacroF1": 0.5145630920489553, "Memory in Mb": 1.9625730514526367, "Time in s": 4606.675677000001 }, { "step": 42240, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5290608205686688, "MicroF1": 0.5290608205686688, "MacroF1": 0.5171452370879218, "Memory in Mb": 1.9625730514526367, "Time in s": 4823.052294000001 }, { "step": 43296, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5316318281556762, "MicroF1": 0.5316318281556762, "MacroF1": 0.5200714653059241, "Memory in Mb": 1.9625730514526367, "Time in s": 5042.794587000001 }, { "step": 44352, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5332912448422809, "MicroF1": 0.5332912448422809, "MacroF1": 0.521951703681177, "Memory in Mb": 1.9633283615112305, "Time in s": 5266.308108000001 }, { "step": 45408, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5350937080185875, "MicroF1": 0.5350937080185875, "MacroF1": 0.5236272112757866, "Memory in Mb": 1.9633283615112305, "Time in s": 5493.659660000001 }, { "step": 46464, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5374168693368917, "MicroF1": 0.5374168693368917, "MacroF1": 0.5257977177437826, "Memory in Mb": 1.9633283615112305, "Time in s": 5724.562244000002 }, { "step": 47520, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5359540394368568, "MicroF1": 0.5359540394368568, "MacroF1": 0.5247049329892776, "Memory in Mb": 1.9633283615112305, "Time in s": 5959.275286000002 }, { "step": 48576, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5333196088522902, "MicroF1": 0.5333196088522902, "MacroF1": 0.5224640186909637, "Memory in Mb": 1.9633283615112305, "Time in s": 6197.987866000002 }, { "step": 49632, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5314017448771937, "MicroF1": 0.5314017448771937, "MacroF1": 0.5209076603734537, "Memory in Mb": 1.9633283615112305, "Time in s": 6440.583835000002 }, { "step": 50688, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5322271982954209, "MicroF1": 0.5322271982954209, "MacroF1": 0.5219695808096345, "Memory in Mb": 2.081958770751953, "Time in s": 6687.224874000002 }, { "step": 51744, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5377345727924551, "MicroF1": 0.5377345727924551, "MacroF1": 0.5274876060436412, "Memory in Mb": 2.3156700134277344, "Time in s": 6937.746409000002 }, { "step": 52800, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5370366863008769, "MicroF1": 0.5370366863008769, "MacroF1": 0.5270872650003847, "Memory in Mb": 2.519227981567383, "Time in s": 7191.466386000002 }, { "step": 52848, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Insects", "Accuracy": 0.5373058073305959, "MicroF1": 0.5373058073305959, "MacroF1": 0.5273644947479657, "Memory in Mb": 2.519227981567383, "Time in s": 7445.3631460000015 }, { "step": 408, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.9803439803439804, "MicroF1": 0.9803439803439804, "MacroF1": 0.4950372208436724, "Memory in Mb": 0.2240447998046875, "Time in s": 0.863228 }, { "step": 816, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.9423312883435584, "MicroF1": 0.9423312883435584, "MacroF1": 0.7661667470992702, "Memory in Mb": 0.3196687698364258, "Time in s": 3.107641 }, { "step": 1224, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8830744071954211, "MicroF1": 0.883074407195421, "MacroF1": 0.8761191747044462, "Memory in Mb": 0.415292739868164, "Time in s": 7.048775 }, { "step": 1632, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8902513795217658, "MicroF1": 0.8902513795217658, "MacroF1": 0.8767853151263398, "Memory in Mb": 0.5114049911499023, "Time in s": 13.087732 }, { "step": 2040, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8891613536047082, "MicroF1": 0.8891613536047082, "MacroF1": 0.8807858055314012, "Memory in Mb": 0.6185035705566406, "Time in s": 21.551525 }, { "step": 2448, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.848385778504291, "MicroF1": 0.848385778504291, "MacroF1": 0.8522513926518692, "Memory in Mb": 0.7141275405883789, "Time in s": 32.816222999999994 }, { "step": 2856, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8563922942206655, "MicroF1": 0.8563922942206655, "MacroF1": 0.8440193478447516, "Memory in Mb": 0.8097515106201172, "Time in s": 47.080319 }, { "step": 3264, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8482991112473184, "MicroF1": 0.8482991112473184, "MacroF1": 0.8269786301577753, "Memory in Mb": 0.9053754806518556, "Time in s": 64.636989 }, { "step": 3672, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8392808499046581, "MicroF1": 0.8392808499046581, "MacroF1": 0.8374924160046072, "Memory in Mb": 1.0009994506835938, "Time in s": 85.706576 }, { "step": 4080, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8323118411375338, "MicroF1": 0.8323118411375338, "MacroF1": 0.8182261307945194, "Memory in Mb": 1.1217241287231443, "Time in s": 110.709782 }, { "step": 4488, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8159126365054602, "MicroF1": 0.8159126365054602, "MacroF1": 0.8260965842218733, "Memory in Mb": 1.2173480987548828, "Time in s": 139.812165 }, { "step": 4896, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8149131767109296, "MicroF1": 0.8149131767109296, "MacroF1": 0.8221314665977922, "Memory in Mb": 1.312972068786621, "Time in s": 173.369773 }, { "step": 5304, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.8125589289081652, "MicroF1": 0.8125589289081652, "MacroF1": 0.797613058026624, "Memory in Mb": 1.4085960388183594, "Time in s": 211.780209 }, { "step": 5712, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7907546839432674, "MicroF1": 0.7907546839432674, "MacroF1": 0.7936708037520236, "Memory in Mb": 1.5042200088500977, "Time in s": 255.273991 }, { "step": 6120, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7886909625755842, "MicroF1": 0.7886909625755842, "MacroF1": 0.7694478218498494, "Memory in Mb": 1.599843978881836, "Time in s": 304.294734 }, { "step": 6528, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7635973647924008, "MicroF1": 0.7635973647924008, "MacroF1": 0.75687960152136, "Memory in Mb": 1.6954679489135742, "Time in s": 359.144129 }, { "step": 6936, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.75155010814708, "MicroF1": 0.7515501081470799, "MacroF1": 0.7521509466338959, "Memory in Mb": 1.7910919189453125, "Time in s": 420.221142 }, { "step": 7344, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7611330518861501, "MicroF1": 0.7611330518861501, "MacroF1": 0.7576671162861806, "Memory in Mb": 1.8881807327270508, "Time in s": 487.76956500000006 }, { "step": 7752, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7617081666881693, "MicroF1": 0.7617081666881692, "MacroF1": 0.7593340838982119, "Memory in Mb": 1.983804702758789, "Time in s": 562.1432000000001 }, { "step": 8160, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7655349920333374, "MicroF1": 0.7655349920333374, "MacroF1": 0.7610505848438686, "Memory in Mb": 2.079428672790528, "Time in s": 643.5514560000001 }, { "step": 8568, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7644449632310026, "MicroF1": 0.7644449632310025, "MacroF1": 0.7639417799779614, "Memory in Mb": 2.223102569580078, "Time in s": 732.3349550000001 }, { "step": 8976, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7624512534818941, "MicroF1": 0.7624512534818941, "MacroF1": 0.7625605608371232, "Memory in Mb": 2.3187265396118164, "Time in s": 828.9274100000001 }, { "step": 9384, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7605243525524885, "MicroF1": 0.7605243525524885, "MacroF1": 0.7588384348689571, "Memory in Mb": 2.4143505096435547, "Time in s": 933.484588 }, { "step": 9792, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.753344908589521, "MicroF1": 0.753344908589521, "MacroF1": 0.7499438215834663, "Memory in Mb": 2.509974479675293, "Time in s": 1046.19484 }, { "step": 10200, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7450730463770958, "MicroF1": 0.7450730463770959, "MacroF1": 0.7369660419615974, "Memory in Mb": 2.6055984497070312, "Time in s": 1167.344916 }, { "step": 10608, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7240501555576506, "MicroF1": 0.7240501555576506, "MacroF1": 0.7111305646829175, "Memory in Mb": 2.701222419738769, "Time in s": 1296.919782 }, { "step": 11016, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7166591012256015, "MicroF1": 0.7166591012256015, "MacroF1": 0.7122511515574346, "Memory in Mb": 2.796846389770508, "Time in s": 1434.776076 }, { "step": 11424, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.710146196270682, "MicroF1": 0.710146196270682, "MacroF1": 0.6963016796632095, "Memory in Mb": 2.892470359802246, "Time in s": 1580.7280859999998 }, { "step": 11832, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7005324993660722, "MicroF1": 0.7005324993660722, "MacroF1": 0.6925666211338901, "Memory in Mb": 2.9880943298339844, "Time in s": 1735.0271709999995 }, { "step": 12240, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7043876133671052, "MicroF1": 0.7043876133671052, "MacroF1": 0.7007845610449206, "Memory in Mb": 3.0837182998657227, "Time in s": 1897.652612 }, { "step": 12648, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.7004032576895707, "MicroF1": 0.7004032576895707, "MacroF1": 0.6915775762792657, "Memory in Mb": 3.179342269897461, "Time in s": 2069.0860809999995 }, { "step": 13056, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6877058598238223, "MicroF1": 0.6877058598238223, "MacroF1": 0.6789768292873962, "Memory in Mb": 3.274966239929199, "Time in s": 2249.389177 }, { "step": 13464, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6838743222164451, "MicroF1": 0.6838743222164451, "MacroF1": 0.6791243465680947, "Memory in Mb": 3.370590209960937, "Time in s": 2438.693149 }, { "step": 13872, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6822146925239708, "MicroF1": 0.6822146925239708, "MacroF1": 0.6786558938530485, "Memory in Mb": 3.466214179992676, "Time in s": 2637.684102 }, { "step": 14280, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6777085230058127, "MicroF1": 0.6777085230058127, "MacroF1": 0.6725285130045525, "Memory in Mb": 3.561838150024414, "Time in s": 2845.828808 }, { "step": 14688, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6807380676788997, "MicroF1": 0.6807380676788997, "MacroF1": 0.6786761142186741, "Memory in Mb": 3.657462120056152, "Time in s": 3062.994215 }, { "step": 15096, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6873799271281882, "MicroF1": 0.6873799271281882, "MacroF1": 0.6854839306484398, "Memory in Mb": 3.75308609008789, "Time in s": 3290.055422 }, { "step": 15504, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6858027478552539, "MicroF1": 0.6858027478552539, "MacroF1": 0.6816808496509055, "Memory in Mb": 3.848710060119629, "Time in s": 3526.69202 }, { "step": 15912, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6765759537426937, "MicroF1": 0.6765759537426937, "MacroF1": 0.6694713281964946, "Memory in Mb": 3.944334030151367, "Time in s": 3772.997519 }, { "step": 16320, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6673815797536614, "MicroF1": 0.6673815797536614, "MacroF1": 0.6617321933140904, "Memory in Mb": 4.0399580001831055, "Time in s": 4029.133223 }, { "step": 16728, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6643151790518323, "MicroF1": 0.6643151790518323, "MacroF1": 0.661178029358405, "Memory in Mb": 4.135581970214844, "Time in s": 4295.086238 }, { "step": 17136, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6598774438284214, "MicroF1": 0.6598774438284214, "MacroF1": 0.655734247886306, "Memory in Mb": 4.32945728302002, "Time in s": 4570.827071 }, { "step": 17544, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6518269395200365, "MicroF1": 0.6518269395200365, "MacroF1": 0.6481085155228206, "Memory in Mb": 4.425081253051758, "Time in s": 4856.254143 }, { "step": 17952, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6507158375577963, "MicroF1": 0.6507158375577963, "MacroF1": 0.6489368995854258, "Memory in Mb": 4.520705223083496, "Time in s": 5151.869359 }, { "step": 18360, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6566806470940683, "MicroF1": 0.6566806470940683, "MacroF1": 0.6555764711123695, "Memory in Mb": 4.616329193115234, "Time in s": 5457.498716 }, { "step": 18768, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.662279533223211, "MicroF1": 0.662279533223211, "MacroF1": 0.6615432060687808, "Memory in Mb": 4.711953163146973, "Time in s": 5772.982264 }, { "step": 19176, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6534028683181226, "MicroF1": 0.6534028683181226, "MacroF1": 0.6508089832432514, "Memory in Mb": 4.807577133178711, "Time in s": 6098.679956 }, { "step": 19584, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6577643874789358, "MicroF1": 0.6577643874789358, "MacroF1": 0.6564201177589184, "Memory in Mb": 4.903201103210449, "Time in s": 6434.678037 }, { "step": 19992, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6518433294982742, "MicroF1": 0.6518433294982742, "MacroF1": 0.6501496360982542, "Memory in Mb": 4.998825073242188, "Time in s": 6781.324361 }, { "step": 20400, "track": "Multiclass classification", "model": "Hoeffding Tree", "dataset": "Keystroke", "Accuracy": 0.6482180499044071, "MicroF1": 0.6482180499044071, "MacroF1": 0.6472493759146578, "Memory in Mb": 5.094449043273926, "Time in s": 7138.730487 }, { "step": 46, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.3777777777777777, "MicroF1": 0.3777777777777777, "MacroF1": 0.2811210847975554, "Memory in Mb": 0.4234571456909179, "Time in s": 0.325579 }, { "step": 92, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.5164835164835165, "MicroF1": 0.5164835164835165, "MacroF1": 0.5335477748411618, "Memory in Mb": 0.4235143661499023, "Time in s": 1.056326 }, { "step": 138, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.5474452554744526, "MicroF1": 0.5474452554744526, "MacroF1": 0.5743273066802479, "Memory in Mb": 0.4236364364624023, "Time in s": 2.202996 }, { "step": 184, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.6120218579234973, "MicroF1": 0.6120218579234973, "MacroF1": 0.6355989308336889, "Memory in Mb": 0.4237203598022461, "Time in s": 3.699294 }, { "step": 230, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.6375545851528385, "MicroF1": 0.6375545851528385, "MacroF1": 0.6557923943920432, "Memory in Mb": 0.4237203598022461, "Time in s": 5.564336 }, { "step": 276, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.6509090909090909, "MicroF1": 0.6509090909090909, "MacroF1": 0.66910740948952, "Memory in Mb": 0.4237699508666992, "Time in s": 7.749814 }, { "step": 322, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.67601246105919, "MicroF1": 0.67601246105919, "MacroF1": 0.678427291711157, "Memory in Mb": 0.4238309860229492, "Time in s": 10.278631 }, { "step": 368, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7002724795640327, "MicroF1": 0.7002724795640327, "MacroF1": 0.6988359939675117, "Memory in Mb": 0.4238042831420898, "Time in s": 13.125556 }, { "step": 414, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.711864406779661, "MicroF1": 0.711864406779661, "MacroF1": 0.7104564330601258, "Memory in Mb": 0.4237241744995117, "Time in s": 16.369918000000002 }, { "step": 460, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7124183006535948, "MicroF1": 0.7124183006535948, "MacroF1": 0.7087721216219991, "Memory in Mb": 0.4238004684448242, "Time in s": 19.921878000000003 }, { "step": 506, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7207920792079208, "MicroF1": 0.7207920792079208, "MacroF1": 0.7145025942185106, "Memory in Mb": 0.4238004684448242, "Time in s": 23.844357 }, { "step": 552, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7223230490018149, "MicroF1": 0.7223230490018149, "MacroF1": 0.7174926871575792, "Memory in Mb": 0.4236936569213867, "Time in s": 28.111685 }, { "step": 598, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7269681742043551, "MicroF1": 0.7269681742043551, "MacroF1": 0.7216367248754637, "Memory in Mb": 0.4237165451049804, "Time in s": 32.752989 }, { "step": 644, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7262830482115086, "MicroF1": 0.7262830482115085, "MacroF1": 0.7230014848259525, "Memory in Mb": 0.4237508773803711, "Time in s": 37.712808 }, { "step": 690, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7300435413642961, "MicroF1": 0.7300435413642961, "MacroF1": 0.7265684058467008, "Memory in Mb": 0.4237508773803711, "Time in s": 43.006145 }, { "step": 736, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7319727891156462, "MicroF1": 0.7319727891156461, "MacroF1": 0.7296570819427115, "Memory in Mb": 0.4237775802612304, "Time in s": 48.68780100000001 }, { "step": 782, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.737516005121639, "MicroF1": 0.737516005121639, "MacroF1": 0.7350906419548328, "Memory in Mb": 0.4237775802612304, "Time in s": 54.69172 }, { "step": 828, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7363966142684402, "MicroF1": 0.7363966142684402, "MacroF1": 0.7359651798179677, "Memory in Mb": 0.4237775802612304, "Time in s": 60.98272 }, { "step": 874, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7422680412371134, "MicroF1": 0.7422680412371134, "MacroF1": 0.7398886847335938, "Memory in Mb": 0.4237775802612304, "Time in s": 67.641769 }, { "step": 920, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7421109902067464, "MicroF1": 0.7421109902067464, "MacroF1": 0.738912026501458, "Memory in Mb": 0.4237508773803711, "Time in s": 74.649906 }, { "step": 966, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7419689119170985, "MicroF1": 0.7419689119170985, "MacroF1": 0.7379593683174607, "Memory in Mb": 0.4237508773803711, "Time in s": 81.98079 }, { "step": 1012, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7418397626112759, "MicroF1": 0.741839762611276, "MacroF1": 0.7380802548116379, "Memory in Mb": 0.4237508773803711, "Time in s": 89.699811 }, { "step": 1058, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7436140018921475, "MicroF1": 0.7436140018921475, "MacroF1": 0.7390703652035102, "Memory in Mb": 0.4237508773803711, "Time in s": 97.738161 }, { "step": 1104, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7461468721668177, "MicroF1": 0.7461468721668177, "MacroF1": 0.7413714574148674, "Memory in Mb": 0.4238004684448242, "Time in s": 106.141078 }, { "step": 1150, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7476066144473456, "MicroF1": 0.7476066144473456, "MacroF1": 0.742441565911322, "Memory in Mb": 0.4238004684448242, "Time in s": 114.875735 }, { "step": 1196, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7506276150627615, "MicroF1": 0.7506276150627615, "MacroF1": 0.7460917536510117, "Memory in Mb": 0.4234342575073242, "Time in s": 123.973121 }, { "step": 1242, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7510072522159549, "MicroF1": 0.7510072522159549, "MacroF1": 0.7470578866974922, "Memory in Mb": 0.4235563278198242, "Time in s": 133.391788 }, { "step": 1288, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.756021756021756, "MicroF1": 0.7560217560217559, "MacroF1": 0.7510482446555896, "Memory in Mb": 0.4236173629760742, "Time in s": 143.113173 }, { "step": 1334, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7569392348087022, "MicroF1": 0.7569392348087022, "MacroF1": 0.7522366633133313, "Memory in Mb": 0.4236173629760742, "Time in s": 153.228885 }, { "step": 1380, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7585206671501088, "MicroF1": 0.7585206671501088, "MacroF1": 0.7544196711061472, "Memory in Mb": 0.4236783981323242, "Time in s": 163.64661999999998 }, { "step": 1426, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7614035087719299, "MicroF1": 0.7614035087719299, "MacroF1": 0.7567964121564391, "Memory in Mb": 0.4236783981323242, "Time in s": 174.36664399999998 }, { "step": 1472, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7654656696125085, "MicroF1": 0.7654656696125085, "MacroF1": 0.7591802078998249, "Memory in Mb": 0.4236783981323242, "Time in s": 185.463757 }, { "step": 1518, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7673038892551087, "MicroF1": 0.7673038892551087, "MacroF1": 0.7600352016074767, "Memory in Mb": 0.4237394332885742, "Time in s": 196.90308 }, { "step": 1564, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7677543186180422, "MicroF1": 0.7677543186180422, "MacroF1": 0.7612494392404334, "Memory in Mb": 0.4237394332885742, "Time in s": 208.647576 }, { "step": 1610, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7675574891236793, "MicroF1": 0.7675574891236793, "MacroF1": 0.7602773300593106, "Memory in Mb": 0.4237623214721679, "Time in s": 220.786107 }, { "step": 1656, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.76797583081571, "MicroF1": 0.76797583081571, "MacroF1": 0.7607906010792568, "Memory in Mb": 0.4237623214721679, "Time in s": 233.2194 }, { "step": 1702, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7677836566725456, "MicroF1": 0.7677836566725456, "MacroF1": 0.7627036277641847, "Memory in Mb": 0.4237623214721679, "Time in s": 245.952092 }, { "step": 1748, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7710360618202633, "MicroF1": 0.7710360618202633, "MacroF1": 0.7657334796773966, "Memory in Mb": 0.4237623214721679, "Time in s": 259.02703 }, { "step": 1794, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7724484104852203, "MicroF1": 0.7724484104852203, "MacroF1": 0.7657758298578787, "Memory in Mb": 0.4237356185913086, "Time in s": 272.394107 }, { "step": 1840, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7737901033170201, "MicroF1": 0.77379010331702, "MacroF1": 0.767302943564198, "Memory in Mb": 0.4237966537475586, "Time in s": 286.067762 }, { "step": 1886, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7724137931034483, "MicroF1": 0.7724137931034483, "MacroF1": 0.7666353585191567, "Memory in Mb": 0.4237966537475586, "Time in s": 300.095471 }, { "step": 1932, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7731745209735889, "MicroF1": 0.7731745209735889, "MacroF1": 0.7666634536176192, "Memory in Mb": 0.4237966537475586, "Time in s": 314.417396 }, { "step": 1978, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7738998482549317, "MicroF1": 0.7738998482549316, "MacroF1": 0.7665909326930368, "Memory in Mb": 0.4237966537475586, "Time in s": 329.067854 }, { "step": 2024, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7750865051903114, "MicroF1": 0.7750865051903113, "MacroF1": 0.7662611838286661, "Memory in Mb": 0.4237966537475586, "Time in s": 344.01511700000003 }, { "step": 2070, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7747704204929918, "MicroF1": 0.7747704204929918, "MacroF1": 0.7660645062500586, "Memory in Mb": 0.4237966537475586, "Time in s": 359.290159 }, { "step": 2116, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7754137115839244, "MicroF1": 0.7754137115839244, "MacroF1": 0.7658988206988366, "Memory in Mb": 0.4237966537475586, "Time in s": 374.882405 }, { "step": 2162, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7760296159185562, "MicroF1": 0.7760296159185563, "MacroF1": 0.7660708746783081, "Memory in Mb": 0.4237966537475586, "Time in s": 390.75768 }, { "step": 2208, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.777979157227005, "MicroF1": 0.7779791572270048, "MacroF1": 0.7670029065892423, "Memory in Mb": 0.4237966537475586, "Time in s": 407.002801 }, { "step": 2254, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7749667110519307, "MicroF1": 0.7749667110519308, "MacroF1": 0.7639707440456852, "Memory in Mb": 0.4237966537475586, "Time in s": 423.546299 }, { "step": 2300, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7742496737712049, "MicroF1": 0.7742496737712049, "MacroF1": 0.7632394528829524, "Memory in Mb": 0.4237966537475586, "Time in s": 440.393364 }, { "step": 2310, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "ImageSegments", "Accuracy": 0.7743611953226505, "MicroF1": 0.7743611953226506, "MacroF1": 0.7633622232911937, "Memory in Mb": 0.4237966537475586, "Time in s": 457.310729 }, { "step": 1056, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6161137440758294, "MicroF1": 0.6161137440758294, "MacroF1": 0.581384151333148, "Memory in Mb": 0.6645784378051758, "Time in s": 11.249192 }, { "step": 2112, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6120322122216959, "MicroF1": 0.6120322122216959, "MacroF1": 0.5792161554760864, "Memory in Mb": 0.6646394729614258, "Time in s": 32.358705 }, { "step": 3168, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6049889485317335, "MicroF1": 0.6049889485317335, "MacroF1": 0.5721633809277145, "Memory in Mb": 0.6647005081176758, "Time in s": 62.851539 }, { "step": 4224, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.603125739995264, "MicroF1": 0.603125739995264, "MacroF1": 0.5703574432462961, "Memory in Mb": 0.6647005081176758, "Time in s": 102.700179 }, { "step": 5280, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6061754120098504, "MicroF1": 0.6061754120098504, "MacroF1": 0.5722430970062696, "Memory in Mb": 0.6647615432739258, "Time in s": 151.914202 }, { "step": 6336, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5995264404104184, "MicroF1": 0.5995264404104184, "MacroF1": 0.5671511237518188, "Memory in Mb": 0.6647615432739258, "Time in s": 210.432187 }, { "step": 7392, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5972128264104992, "MicroF1": 0.5972128264104992, "MacroF1": 0.5650210504998666, "Memory in Mb": 0.6647615432739258, "Time in s": 278.267755 }, { "step": 8448, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5989108559251806, "MicroF1": 0.5989108559251806, "MacroF1": 0.566418690076869, "Memory in Mb": 0.6647615432739258, "Time in s": 355.204938 }, { "step": 9504, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5962327685993897, "MicroF1": 0.5962327685993897, "MacroF1": 0.5633780031885509, "Memory in Mb": 0.6647615432739258, "Time in s": 441.186739 }, { "step": 10560, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5964579979164694, "MicroF1": 0.5964579979164694, "MacroF1": 0.5634236596216465, "Memory in Mb": 0.6648225784301758, "Time in s": 536.283653 }, { "step": 11616, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.594317692638829, "MicroF1": 0.594317692638829, "MacroF1": 0.5620068495149612, "Memory in Mb": 0.6648225784301758, "Time in s": 640.2689049999999 }, { "step": 12672, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5975061163286244, "MicroF1": 0.5975061163286244, "MacroF1": 0.567518061449456, "Memory in Mb": 0.6648225784301758, "Time in s": 753.0441599999999 }, { "step": 13728, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6097472135207984, "MicroF1": 0.6097472135207984, "MacroF1": 0.5927729676671933, "Memory in Mb": 0.6648225784301758, "Time in s": 874.528885 }, { "step": 14784, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6001488195900697, "MicroF1": 0.6001488195900697, "MacroF1": 0.5832911478837771, "Memory in Mb": 0.6645174026489258, "Time in s": 1004.55011 }, { "step": 15840, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5673969316244712, "MicroF1": 0.5673969316244712, "MacroF1": 0.5522471754341495, "Memory in Mb": 0.8876123428344727, "Time in s": 1142.6522839999998 }, { "step": 16896, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5712340929269014, "MicroF1": 0.5712340929269014, "MacroF1": 0.5590383236849579, "Memory in Mb": 1.4319400787353516, "Time in s": 1288.8770269999998 }, { "step": 17952, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5741184335134533, "MicroF1": 0.5741184335134533, "MacroF1": 0.5632919959429028, "Memory in Mb": 1.8629226684570312, "Time in s": 1445.4718369999998 }, { "step": 19008, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5867312042931552, "MicroF1": 0.5867312042931552, "MacroF1": 0.5723846445183198, "Memory in Mb": 0.4819307327270508, "Time in s": 1609.073978 }, { "step": 20064, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5966704879629168, "MicroF1": 0.5966704879629168, "MacroF1": 0.5796820575913003, "Memory in Mb": 0.6649179458618164, "Time in s": 1780.2710459999998 }, { "step": 21120, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5984658364505895, "MicroF1": 0.5984658364505895, "MacroF1": 0.5810209140208816, "Memory in Mb": 0.6650400161743164, "Time in s": 1958.819581 }, { "step": 22176, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6001803833145434, "MicroF1": 0.6001803833145434, "MacroF1": 0.5822125955100945, "Memory in Mb": 1.2073478698730469, "Time in s": 2144.726031 }, { "step": 23232, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6020403770823468, "MicroF1": 0.6020403770823468, "MacroF1": 0.5837921358595156, "Memory in Mb": 1.321575164794922, "Time in s": 2339.531046 }, { "step": 24288, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6047268085807221, "MicroF1": 0.6047268085807221, "MacroF1": 0.5859785990228289, "Memory in Mb": 1.321636199951172, "Time in s": 2543.839083 }, { "step": 25344, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6069131515605887, "MicroF1": 0.6069131515605887, "MacroF1": 0.587737290445056, "Memory in Mb": 1.321758270263672, "Time in s": 2757.206681 }, { "step": 26400, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6094927838175689, "MicroF1": 0.6094927838175689, "MacroF1": 0.5895162861993263, "Memory in Mb": 1.321758270263672, "Time in s": 2979.334505 }, { "step": 27456, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6105991622655254, "MicroF1": 0.6105991622655254, "MacroF1": 0.5896134687358237, "Memory in Mb": 1.321941375732422, "Time in s": 3211.082358 }, { "step": 28512, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6106064326049595, "MicroF1": 0.6106064326049595, "MacroF1": 0.5910741826972655, "Memory in Mb": 1.321941375732422, "Time in s": 3451.544855 }, { "step": 29568, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6099029323231981, "MicroF1": 0.6099029323231981, "MacroF1": 0.5935355609859342, "Memory in Mb": 1.321941375732422, "Time in s": 3700.712954 }, { "step": 30624, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6088887437546942, "MicroF1": 0.6088887437546942, "MacroF1": 0.5952474102625339, "Memory in Mb": 1.321453094482422, "Time in s": 3958.532225 }, { "step": 31680, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6088891694813598, "MicroF1": 0.6088891694813598, "MacroF1": 0.5975058139751561, "Memory in Mb": 1.321697235107422, "Time in s": 4224.837575 }, { "step": 32736, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6095921796242554, "MicroF1": 0.6095921796242554, "MacroF1": 0.5998546240309938, "Memory in Mb": 1.321758270263672, "Time in s": 4499.473663 }, { "step": 33792, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6043917019324673, "MicroF1": 0.6043917019324673, "MacroF1": 0.595080118632132, "Memory in Mb": 0.6649713516235352, "Time in s": 4783.331389999999 }, { "step": 34848, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6034378856142566, "MicroF1": 0.6034378856142566, "MacroF1": 0.5941773754098104, "Memory in Mb": 0.6650934219360352, "Time in s": 5073.360361999999 }, { "step": 35904, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6029022644347269, "MicroF1": 0.6029022644347269, "MacroF1": 0.5935512429191343, "Memory in Mb": 0.6651544570922852, "Time in s": 5369.406481999999 }, { "step": 36960, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6013690846613815, "MicroF1": 0.6013690846613815, "MacroF1": 0.5919623858291095, "Memory in Mb": 0.6651544570922852, "Time in s": 5671.388488999999 }, { "step": 38016, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6010259108246745, "MicroF1": 0.6010259108246745, "MacroF1": 0.5912597483191937, "Memory in Mb": 0.6651544570922852, "Time in s": 5979.127636999999 }, { "step": 39072, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6003429653707353, "MicroF1": 0.6003429653707353, "MacroF1": 0.5902279082897147, "Memory in Mb": 0.6648492813110352, "Time in s": 6292.481400999999 }, { "step": 40128, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5961322800109652, "MicroF1": 0.5961322800109652, "MacroF1": 0.5867765456240649, "Memory in Mb": 0.6648492813110352, "Time in s": 6611.499413 }, { "step": 41184, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5939829541315591, "MicroF1": 0.5939829541315591, "MacroF1": 0.585290407267574, "Memory in Mb": 0.6650323867797852, "Time in s": 6936.132393 }, { "step": 42240, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5925803167688629, "MicroF1": 0.5925803167688629, "MacroF1": 0.5844470095695741, "Memory in Mb": 0.6650934219360352, "Time in s": 7266.407125 }, { "step": 43296, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5911306155445202, "MicroF1": 0.5911306155445202, "MacroF1": 0.5835517912214992, "Memory in Mb": 0.6651544570922852, "Time in s": 7602.391688 }, { "step": 44352, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.58959211742689, "MicroF1": 0.58959211742689, "MacroF1": 0.58246410272577, "Memory in Mb": 1.1046571731567385, "Time in s": 7943.862096 }, { "step": 45408, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5875746030347744, "MicroF1": 0.5875746030347744, "MacroF1": 0.5808874407233396, "Memory in Mb": 1.3207244873046875, "Time in s": 8291.951918 }, { "step": 46464, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5862083808621914, "MicroF1": 0.5862083808621914, "MacroF1": 0.5791892600330408, "Memory in Mb": 1.3209075927734375, "Time in s": 8644.890712 }, { "step": 47520, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5879332477535302, "MicroF1": 0.5879332477535302, "MacroF1": 0.5810233099134106, "Memory in Mb": 1.3210525512695312, "Time in s": 9004.012781000001 }, { "step": 48576, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5928152341739578, "MicroF1": 0.5928152341739578, "MacroF1": 0.5858160887305829, "Memory in Mb": 1.3216018676757812, "Time in s": 9370.107000000002 }, { "step": 49632, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.5979327436481231, "MicroF1": 0.5979327436481231, "MacroF1": 0.5906079347867982, "Memory in Mb": 1.3215408325195312, "Time in s": 9743.028377000002 }, { "step": 50688, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6027383747311934, "MicroF1": 0.6027383747311934, "MacroF1": 0.594893758427483, "Memory in Mb": 1.3217239379882812, "Time in s": 10122.858893000002 }, { "step": 51744, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6077923583866417, "MicroF1": 0.6077923583866417, "MacroF1": 0.5993180348311721, "Memory in Mb": 1.3217239379882812, "Time in s": 10509.572003000005 }, { "step": 52800, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.612985094414667, "MicroF1": 0.612985094414667, "MacroF1": 0.6039181082054342, "Memory in Mb": 0.1438255310058593, "Time in s": 10901.200853000002 }, { "step": 52848, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Insects", "Accuracy": 0.6133366132420005, "MicroF1": 0.6133366132420005, "MacroF1": 0.604218855594392, "Memory in Mb": 0.1438255310058593, "Time in s": 11292.868844000002 }, { "step": 408, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.9803439803439804, "MicroF1": 0.9803439803439804, "MacroF1": 0.4950372208436724, "Memory in Mb": 0.230626106262207, "Time in s": 0.871514 }, { "step": 816, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.943558282208589, "MicroF1": 0.943558282208589, "MacroF1": 0.7669956277713079, "Memory in Mb": 0.3262500762939453, "Time in s": 3.583779 }, { "step": 1224, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8863450531479967, "MicroF1": 0.8863450531479967, "MacroF1": 0.8786592421362933, "Memory in Mb": 0.4218740463256836, "Time in s": 8.686347999999999 }, { "step": 1632, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.891477621091355, "MicroF1": 0.891477621091355, "MacroF1": 0.8818548670971931, "Memory in Mb": 0.5179252624511719, "Time in s": 16.685395 }, { "step": 2040, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.889651790093183, "MicroF1": 0.889651790093183, "MacroF1": 0.8812768038030504, "Memory in Mb": 0.6251459121704102, "Time in s": 28.245741 }, { "step": 2448, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8414384961176952, "MicroF1": 0.8414384961176952, "MacroF1": 0.8420581397672002, "Memory in Mb": 0.7206478118896484, "Time in s": 43.571154 }, { "step": 2856, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8500875656742557, "MicroF1": 0.8500875656742557, "MacroF1": 0.8345582037188519, "Memory in Mb": 0.8163328170776367, "Time in s": 63.099422 }, { "step": 3264, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8406374501992032, "MicroF1": 0.8406374501992032, "MacroF1": 0.8151418555553325, "Memory in Mb": 0.911895751953125, "Time in s": 87.33095300000001 }, { "step": 3672, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8321983110868973, "MicroF1": 0.8321983110868973, "MacroF1": 0.8307198315203921, "Memory in Mb": 1.0075807571411133, "Time in s": 116.498805 }, { "step": 4080, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.826182887962736, "MicroF1": 0.826182887962736, "MacroF1": 0.8123767856033619, "Memory in Mb": 1.128366470336914, "Time in s": 151.118073 }, { "step": 4488, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.809226654780477, "MicroF1": 0.809226654780477, "MacroF1": 0.8196273526663149, "Memory in Mb": 1.2239294052124023, "Time in s": 191.820305 }, { "step": 4896, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8081716036772216, "MicroF1": 0.8081716036772216, "MacroF1": 0.815232111826365, "Memory in Mb": 1.3194313049316406, "Time in s": 239.061616 }, { "step": 5304, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.8057703186875353, "MicroF1": 0.8057703186875353, "MacroF1": 0.7903391475861199, "Memory in Mb": 1.415055274963379, "Time in s": 293.29488000000003 }, { "step": 5712, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7860269655051655, "MicroF1": 0.7860269655051656, "MacroF1": 0.7895763142947654, "Memory in Mb": 1.5108013153076172, "Time in s": 355.22640600000005 }, { "step": 6120, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.784441902271613, "MicroF1": 0.784441902271613, "MacroF1": 0.7657785418705475, "Memory in Mb": 1.6062421798706057, "Time in s": 425.240619 }, { "step": 6528, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7585414432357898, "MicroF1": 0.7585414432357898, "MacroF1": 0.751418836389106, "Memory in Mb": 1.7020492553710938, "Time in s": 503.467226 }, { "step": 6936, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7473684210526316, "MicroF1": 0.7473684210526316, "MacroF1": 0.7484284412750404, "Memory in Mb": 1.797490119934082, "Time in s": 590.6999010000001 }, { "step": 7344, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7565027917744791, "MicroF1": 0.7565027917744791, "MacroF1": 0.7526701844923946, "Memory in Mb": 1.8947620391845703, "Time in s": 687.248946 }, { "step": 7752, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7577086827506129, "MicroF1": 0.7577086827506129, "MacroF1": 0.755735065870518, "Memory in Mb": 1.9903860092163088, "Time in s": 793.498598 }, { "step": 8160, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7617355068023042, "MicroF1": 0.7617355068023042, "MacroF1": 0.7576049653668414, "Memory in Mb": 2.085948944091797, "Time in s": 909.902095 }, { "step": 8568, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7604762460604646, "MicroF1": 0.7604762460604646, "MacroF1": 0.7596175662696861, "Memory in Mb": 2.2296838760375977, "Time in s": 1036.556796 }, { "step": 8976, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.756991643454039, "MicroF1": 0.7569916434540391, "MacroF1": 0.7575313939177277, "Memory in Mb": 2.325368881225586, "Time in s": 1173.436632 }, { "step": 9384, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7558350207822658, "MicroF1": 0.7558350207822658, "MacroF1": 0.7548436696787698, "Memory in Mb": 2.420870780944824, "Time in s": 1320.145727 }, { "step": 9792, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.748340312531917, "MicroF1": 0.7483403125319169, "MacroF1": 0.744390859626019, "Memory in Mb": 2.5164337158203125, "Time in s": 1476.992513 }, { "step": 10200, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7393862143347387, "MicroF1": 0.7393862143347387, "MacroF1": 0.7315892779928432, "Memory in Mb": 2.612057685852051, "Time in s": 1644.1937280000002 }, { "step": 10608, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7196191194494201, "MicroF1": 0.7196191194494201, "MacroF1": 0.7089541376321258, "Memory in Mb": 2.707803726196289, "Time in s": 1822.193822 }, { "step": 11016, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7123921924648207, "MicroF1": 0.7123921924648208, "MacroF1": 0.7092068316988943, "Memory in Mb": 2.8033666610717773, "Time in s": 2011.0989090000005 }, { "step": 11424, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7062943184802591, "MicroF1": 0.7062943184802591, "MacroF1": 0.6946713230955313, "Memory in Mb": 2.898990631103516, "Time in s": 2211.8042590000005 }, { "step": 11832, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6967289324655566, "MicroF1": 0.6967289324655566, "MacroF1": 0.690232830798306, "Memory in Mb": 2.994553565979004, "Time in s": 2423.5715250000003 }, { "step": 12240, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7007108423890841, "MicroF1": 0.7007108423890841, "MacroF1": 0.6983689907908355, "Memory in Mb": 3.090177536010742, "Time in s": 2646.6754960000003 }, { "step": 12648, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6969241717403337, "MicroF1": 0.6969241717403337, "MacroF1": 0.6892508246262707, "Memory in Mb": 3.1858625411987305, "Time in s": 2881.7592360000003 }, { "step": 13056, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6836461126005362, "MicroF1": 0.6836461126005362, "MacroF1": 0.6755391962059192, "Memory in Mb": 3.2815475463867188, "Time in s": 3128.5577150000004 }, { "step": 13464, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6793433855752804, "MicroF1": 0.6793433855752804, "MacroF1": 0.6754035266161623, "Memory in Mb": 3.377110481262207, "Time in s": 3387.355816 }, { "step": 13872, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6769519140653161, "MicroF1": 0.6769519140653161, "MacroF1": 0.6742482232309566, "Memory in Mb": 3.4728565216064453, "Time in s": 3658.0697 }, { "step": 14280, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6728762518383641, "MicroF1": 0.6728762518383641, "MacroF1": 0.6689356443053495, "Memory in Mb": 3.5684194564819336, "Time in s": 3940.688111 }, { "step": 14688, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6762442976782188, "MicroF1": 0.6762442976782188, "MacroF1": 0.6753292472514647, "Memory in Mb": 3.663982391357422, "Time in s": 4235.610853 }, { "step": 15096, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6830076184166942, "MicroF1": 0.6830076184166942, "MacroF1": 0.6822311287838643, "Memory in Mb": 3.75966739654541, "Time in s": 4542.8267670000005 }, { "step": 15504, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6818035218989873, "MicroF1": 0.6818035218989873, "MacroF1": 0.6788656596145114, "Memory in Mb": 3.8552303314208975, "Time in s": 4862.152597 }, { "step": 15912, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6816039218150964, "MicroF1": 0.6816039218150964, "MacroF1": 0.6801525397911032, "Memory in Mb": 0.2705574035644531, "Time in s": 5190.397888 }, { "step": 16320, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6858263373981249, "MicroF1": 0.6858263373981249, "MacroF1": 0.685191280018575, "Memory in Mb": 0.4621334075927734, "Time in s": 5522.880902000001 }, { "step": 16728, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6896634184253004, "MicroF1": 0.6896634184253004, "MacroF1": 0.6890226069872224, "Memory in Mb": 0.6535873413085938, "Time in s": 5860.018685000001 }, { "step": 17136, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6925007295010213, "MicroF1": 0.6925007295010213, "MacroF1": 0.6918635442211969, "Memory in Mb": 0.9691534042358398, "Time in s": 6202.345681000001 }, { "step": 17544, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.6990252522373597, "MicroF1": 0.6990252522373597, "MacroF1": 0.6986638608261282, "Memory in Mb": 0.2649049758911133, "Time in s": 6547.073149000001 }, { "step": 17952, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7038605091638349, "MicroF1": 0.7038605091638349, "MacroF1": 0.7032543903990934, "Memory in Mb": 0.579315185546875, "Time in s": 6893.121988000001 }, { "step": 18360, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.710114930007081, "MicroF1": 0.7101149300070809, "MacroF1": 0.70950849929648, "Memory in Mb": 0.2349414825439453, "Time in s": 7240.035665000001 }, { "step": 18768, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.715351414717323, "MicroF1": 0.715351414717323, "MacroF1": 0.7146010079934133, "Memory in Mb": 0.3305654525756836, "Time in s": 7588.155090000001 }, { "step": 19176, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7179139504563233, "MicroF1": 0.7179139504563233, "MacroF1": 0.7169858006379833, "Memory in Mb": 0.4260063171386719, "Time in s": 7937.751954000001 }, { "step": 19584, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7223612316805392, "MicroF1": 0.7223612316805392, "MacroF1": 0.7214649429496548, "Memory in Mb": 0.5217523574829102, "Time in s": 8289.115139000001 }, { "step": 19992, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7219248661897854, "MicroF1": 0.7219248661897855, "MacroF1": 0.7206428236711905, "Memory in Mb": 0.6287288665771484, "Time in s": 8642.591702000002 }, { "step": 20400, "track": "Multiclass classification", "model": "Hoeffding Adaptive Tree", "dataset": "Keystroke", "Accuracy": 0.7231236825334575, "MicroF1": 0.7231236825334575, "MacroF1": 0.7218249685926471, "Memory in Mb": 0.7244749069213867, "Time in s": 8998.461289 }, { "step": 46, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.4222222222222222, "MicroF1": 0.4222222222222222, "MacroF1": 0.3590236094437775, "Memory in Mb": 0.9685115814208984, "Time in s": 1.326052 }, { "step": 92, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.5604395604395604, "MicroF1": 0.5604395604395604, "MacroF1": 0.5746538615446178, "Memory in Mb": 1.0556058883666992, "Time in s": 4.053487 }, { "step": 138, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.5766423357664233, "MicroF1": 0.5766423357664233, "MacroF1": 0.598257695340355, "Memory in Mb": 1.344954490661621, "Time in s": 8.154789999999998 }, { "step": 184, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.6229508196721312, "MicroF1": 0.6229508196721312, "MacroF1": 0.6451744040758778, "Memory in Mb": 1.4133405685424805, "Time in s": 13.553012999999998 }, { "step": 230, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.6506550218340611, "MicroF1": 0.6506550218340611, "MacroF1": 0.6680655280025949, "Memory in Mb": 1.5576086044311523, "Time in s": 20.188933 }, { "step": 276, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.6727272727272727, "MicroF1": 0.6727272727272727, "MacroF1": 0.6900672130049011, "Memory in Mb": 1.7550430297851562, "Time in s": 28.051384 }, { "step": 322, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7040498442367601, "MicroF1": 0.7040498442367601, "MacroF1": 0.7087861936875776, "Memory in Mb": 1.832967758178711, "Time in s": 37.15395 }, { "step": 368, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7302452316076294, "MicroF1": 0.7302452316076294, "MacroF1": 0.7285991575377422, "Memory in Mb": 1.971024513244629, "Time in s": 47.432602 }, { "step": 414, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7457627118644068, "MicroF1": 0.7457627118644068, "MacroF1": 0.7430362907281778, "Memory in Mb": 1.991847038269043, "Time in s": 58.97377399999999 }, { "step": 460, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7342047930283224, "MicroF1": 0.7342047930283224, "MacroF1": 0.7271744800226857, "Memory in Mb": 1.8101978302001955, "Time in s": 71.823928 }, { "step": 506, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7405940594059406, "MicroF1": 0.7405940594059406, "MacroF1": 0.7304322149686578, "Memory in Mb": 1.7132930755615234, "Time in s": 85.827474 }, { "step": 552, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7368421052631579, "MicroF1": 0.7368421052631579, "MacroF1": 0.7267508109083203, "Memory in Mb": 1.5079193115234375, "Time in s": 101.049314 }, { "step": 598, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7403685092127303, "MicroF1": 0.7403685092127302, "MacroF1": 0.7318978254380314, "Memory in Mb": 1.6471452713012695, "Time in s": 117.420156 }, { "step": 644, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7325038880248833, "MicroF1": 0.7325038880248833, "MacroF1": 0.7248107612258207, "Memory in Mb": 1.7740907669067385, "Time in s": 135.017443 }, { "step": 690, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7242380261248186, "MicroF1": 0.7242380261248187, "MacroF1": 0.7153272190465999, "Memory in Mb": 1.913142204284668, "Time in s": 153.656893 }, { "step": 736, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7251700680272108, "MicroF1": 0.725170068027211, "MacroF1": 0.7148466398758337, "Memory in Mb": 2.0619029998779297, "Time in s": 173.429455 }, { "step": 782, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7259923175416133, "MicroF1": 0.7259923175416134, "MacroF1": 0.7134712280209221, "Memory in Mb": 2.0208959579467773, "Time in s": 194.315292 }, { "step": 828, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.727932285368803, "MicroF1": 0.727932285368803, "MacroF1": 0.7177600265828429, "Memory in Mb": 2.224555015563965, "Time in s": 216.352158 }, { "step": 874, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7353951890034365, "MicroF1": 0.7353951890034366, "MacroF1": 0.7262567978322628, "Memory in Mb": 2.300021171569824, "Time in s": 239.599524 }, { "step": 920, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7431991294885746, "MicroF1": 0.7431991294885745, "MacroF1": 0.7345004589126253, "Memory in Mb": 2.4412155151367188, "Time in s": 263.99359400000003 }, { "step": 966, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7471502590673575, "MicroF1": 0.7471502590673575, "MacroF1": 0.7368855656689403, "Memory in Mb": 2.474191665649414, "Time in s": 289.66420500000004 }, { "step": 1012, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7546983184965381, "MicroF1": 0.754698318496538, "MacroF1": 0.7446216664767904, "Memory in Mb": 2.5655078887939453, "Time in s": 316.44421900000003 }, { "step": 1058, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.760643330179754, "MicroF1": 0.760643330179754, "MacroF1": 0.7502594177262459, "Memory in Mb": 2.798956871032715, "Time in s": 344.45448600000003 }, { "step": 1104, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7624660018132366, "MicroF1": 0.7624660018132366, "MacroF1": 0.7523020427630668, "Memory in Mb": 2.48898983001709, "Time in s": 373.71735 }, { "step": 1150, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7650130548302873, "MicroF1": 0.7650130548302874, "MacroF1": 0.7555087521342715, "Memory in Mb": 2.3284912109375, "Time in s": 404.061966 }, { "step": 1196, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7690376569037657, "MicroF1": 0.7690376569037657, "MacroF1": 0.7603504370239861, "Memory in Mb": 2.0560731887817383, "Time in s": 435.510035 }, { "step": 1242, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7719580983078163, "MicroF1": 0.7719580983078163, "MacroF1": 0.7638249032322542, "Memory in Mb": 2.11933708190918, "Time in s": 467.969641 }, { "step": 1288, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7746697746697747, "MicroF1": 0.7746697746697747, "MacroF1": 0.7668828628349821, "Memory in Mb": 2.277647018432617, "Time in s": 501.448754 }, { "step": 1334, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7771942985746436, "MicroF1": 0.7771942985746436, "MacroF1": 0.7696789046658701, "Memory in Mb": 2.3871631622314453, "Time in s": 535.887669 }, { "step": 1380, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7817258883248731, "MicroF1": 0.7817258883248731, "MacroF1": 0.7754511149783997, "Memory in Mb": 2.3104944229125977, "Time in s": 571.357393 }, { "step": 1426, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7866666666666666, "MicroF1": 0.7866666666666666, "MacroF1": 0.7797171864703156, "Memory in Mb": 2.4089183807373047, "Time in s": 607.784244 }, { "step": 1472, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7912984364377974, "MicroF1": 0.7912984364377974, "MacroF1": 0.7836430453045393, "Memory in Mb": 2.5425024032592773, "Time in s": 645.2286509999999 }, { "step": 1518, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7963085036255768, "MicroF1": 0.7963085036255768, "MacroF1": 0.7883976288226553, "Memory in Mb": 2.6389265060424805, "Time in s": 683.7451019999999 }, { "step": 1564, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7978246960972489, "MicroF1": 0.7978246960972489, "MacroF1": 0.790949738475821, "Memory in Mb": 2.283763885498047, "Time in s": 723.3862519999999 }, { "step": 1610, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.798011187072716, "MicroF1": 0.7980111870727161, "MacroF1": 0.7914720525222512, "Memory in Mb": 2.519012451171875, "Time in s": 764.1312649999999 }, { "step": 1656, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.7981873111782477, "MicroF1": 0.7981873111782477, "MacroF1": 0.7919320984228655, "Memory in Mb": 2.307619094848633, "Time in s": 806.0160599999999 }, { "step": 1702, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.798941798941799, "MicroF1": 0.7989417989417988, "MacroF1": 0.7945012991620244, "Memory in Mb": 2.40640926361084, "Time in s": 848.960292 }, { "step": 1748, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8019461934745278, "MicroF1": 0.8019461934745278, "MacroF1": 0.797056036319667, "Memory in Mb": 2.447686195373535, "Time in s": 893.037184 }, { "step": 1794, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8047964305633017, "MicroF1": 0.8047964305633019, "MacroF1": 0.7993493873930555, "Memory in Mb": 2.5208606719970703, "Time in s": 938.202728 }, { "step": 1840, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8069603045133225, "MicroF1": 0.8069603045133223, "MacroF1": 0.8019867749609348, "Memory in Mb": 2.8025121688842773, "Time in s": 984.592034 }, { "step": 1886, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8084880636604774, "MicroF1": 0.8084880636604774, "MacroF1": 0.8043300839686539, "Memory in Mb": 2.9287471771240234, "Time in s": 1032.221691 }, { "step": 1932, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8114966338684619, "MicroF1": 0.8114966338684619, "MacroF1": 0.8071482324590065, "Memory in Mb": 2.977842330932617, "Time in s": 1081.048247 }, { "step": 1978, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8148710166919575, "MicroF1": 0.8148710166919576, "MacroF1": 0.8107088256390683, "Memory in Mb": 3.110445022583008, "Time in s": 1130.994965 }, { "step": 2024, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8161146811665843, "MicroF1": 0.8161146811665844, "MacroF1": 0.8110472160986095, "Memory in Mb": 3.3117494583129883, "Time in s": 1182.226115 }, { "step": 2070, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8173030449492509, "MicroF1": 0.8173030449492509, "MacroF1": 0.8127793203399477, "Memory in Mb": 2.7790603637695312, "Time in s": 1234.703432 }, { "step": 2116, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8193853427895981, "MicroF1": 0.8193853427895981, "MacroF1": 0.8144282151100146, "Memory in Mb": 2.8652515411376958, "Time in s": 1288.356269 }, { "step": 2162, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8199907450254512, "MicroF1": 0.8199907450254512, "MacroF1": 0.8150157846003385, "Memory in Mb": 2.925917625427246, "Time in s": 1343.2838700000002 }, { "step": 2208, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8205709107385591, "MicroF1": 0.8205709107385591, "MacroF1": 0.8153449009635614, "Memory in Mb": 2.785597801208496, "Time in s": 1399.325285 }, { "step": 2254, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8175765645805593, "MicroF1": 0.8175765645805593, "MacroF1": 0.813116129924445, "Memory in Mb": 2.868098258972168, "Time in s": 1456.6402850000002 }, { "step": 2300, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8186167899086559, "MicroF1": 0.8186167899086559, "MacroF1": 0.8144518819207099, "Memory in Mb": 3.062863349914551, "Time in s": 1515.2003170000005 }, { "step": 2310, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "ImageSegments", "Accuracy": 0.8185361628410567, "MicroF1": 0.8185361628410566, "MacroF1": 0.8145347387119569, "Memory in Mb": 3.063481330871582, "Time in s": 1574.1800910000002 }, { "step": 1056, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.6682464454976303, "MicroF1": 0.6682464454976303, "MacroF1": 0.6049011732627783, "Memory in Mb": 7.181946754455566, "Time in s": 32.418226 }, { "step": 2112, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.6944576030317385, "MicroF1": 0.6944576030317385, "MacroF1": 0.6288311688548281, "Memory in Mb": 9.89784336090088, "Time in s": 94.873564 }, { "step": 3168, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.6984527944426903, "MicroF1": 0.6984527944426903, "MacroF1": 0.625371849015863, "Memory in Mb": 13.448436737060549, "Time in s": 186.837042 }, { "step": 4224, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.706369879232773, "MicroF1": 0.706369879232773, "MacroF1": 0.6266042661686886, "Memory in Mb": 17.43436622619629, "Time in s": 307.272577 }, { "step": 5280, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7107406705815495, "MicroF1": 0.7107406705815495, "MacroF1": 0.6273487761971507, "Memory in Mb": 20.93905258178711, "Time in s": 452.99825 }, { "step": 6336, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7108129439621153, "MicroF1": 0.7108129439621153, "MacroF1": 0.6274052515282983, "Memory in Mb": 25.022296905517575, "Time in s": 622.602665 }, { "step": 7392, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7127587606548504, "MicroF1": 0.7127587606548504, "MacroF1": 0.6273117178459473, "Memory in Mb": 28.81925773620605, "Time in s": 816.020547 }, { "step": 8448, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7164673848703682, "MicroF1": 0.7164673848703682, "MacroF1": 0.6293431255193823, "Memory in Mb": 32.80279922485352, "Time in s": 1032.257355 }, { "step": 9504, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.721666842049879, "MicroF1": 0.721666842049879, "MacroF1": 0.63170101976307, "Memory in Mb": 32.88048076629639, "Time in s": 1271.699652 }, { "step": 10560, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.724405720238659, "MicroF1": 0.724405720238659, "MacroF1": 0.6339052025360064, "Memory in Mb": 29.71586036682129, "Time in s": 1533.827375 }, { "step": 11616, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7244080929832114, "MicroF1": 0.7244080929832114, "MacroF1": 0.6334336343217646, "Memory in Mb": 33.71169948577881, "Time in s": 1818.162347 }, { "step": 12672, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7225949017441402, "MicroF1": 0.7225949017441402, "MacroF1": 0.6332595599893077, "Memory in Mb": 29.64934635162353, "Time in s": 2125.062078 }, { "step": 13728, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7416769869600058, "MicroF1": 0.7416769869600057, "MacroF1": 0.7385871869253197, "Memory in Mb": 11.750191688537598, "Time in s": 2443.236189 }, { "step": 14784, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7472096326861936, "MicroF1": 0.7472096326861937, "MacroF1": 0.7473000008879964, "Memory in Mb": 7.712667465209961, "Time in s": 2772.229259 }, { "step": 15840, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7404507860344719, "MicroF1": 0.7404507860344719, "MacroF1": 0.7427443120881612, "Memory in Mb": 5.854048728942871, "Time in s": 3118.280673 }, { "step": 16896, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.73666765315182, "MicroF1": 0.73666765315182, "MacroF1": 0.7407696345938622, "Memory in Mb": 9.543391227722168, "Time in s": 3480.1200929999995 }, { "step": 17952, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7295972369227341, "MicroF1": 0.7295972369227341, "MacroF1": 0.7347001031972082, "Memory in Mb": 14.625198364257812, "Time in s": 3856.632275 }, { "step": 19008, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.739780081022781, "MicroF1": 0.7397800810227809, "MacroF1": 0.7407912307996387, "Memory in Mb": 5.110816955566406, "Time in s": 4245.133706999999 }, { "step": 20064, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7434581069630664, "MicroF1": 0.7434581069630664, "MacroF1": 0.7402037922066672, "Memory in Mb": 3.8148155212402335, "Time in s": 4646.574114999999 }, { "step": 21120, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.745111037454425, "MicroF1": 0.7451110374544251, "MacroF1": 0.7386209934273732, "Memory in Mb": 7.313493728637695, "Time in s": 5063.578879 }, { "step": 22176, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7462006764374295, "MicroF1": 0.7462006764374295, "MacroF1": 0.7365944363606786, "Memory in Mb": 12.210733413696287, "Time in s": 5495.973683 }, { "step": 23232, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7483965391072274, "MicroF1": 0.7483965391072274, "MacroF1": 0.7360584061499352, "Memory in Mb": 11.241872787475586, "Time in s": 5944.2105440000005 }, { "step": 24288, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7495779635195784, "MicroF1": 0.7495779635195785, "MacroF1": 0.7345443205753824, "Memory in Mb": 12.262273788452148, "Time in s": 6407.867088000001 }, { "step": 25344, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7508582251509293, "MicroF1": 0.7508582251509293, "MacroF1": 0.7336140903014292, "Memory in Mb": 15.815716743469238, "Time in s": 6885.995097000001 }, { "step": 26400, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7510890564036516, "MicroF1": 0.7510890564036516, "MacroF1": 0.7317409587301968, "Memory in Mb": 20.072275161743164, "Time in s": 7378.034229000001 }, { "step": 27456, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7520670187579676, "MicroF1": 0.7520670187579677, "MacroF1": 0.7304776676466566, "Memory in Mb": 23.249674797058105, "Time in s": 7884.702304 }, { "step": 28512, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7487285609063169, "MicroF1": 0.7487285609063169, "MacroF1": 0.7285292321096271, "Memory in Mb": 2.702430725097656, "Time in s": 8406.670172 }, { "step": 29568, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7464741096492712, "MicroF1": 0.7464741096492712, "MacroF1": 0.7309964825863351, "Memory in Mb": 6.2935638427734375, "Time in s": 8940.901067 }, { "step": 30624, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7457793162002416, "MicroF1": 0.7457793162002416, "MacroF1": 0.7347045068936117, "Memory in Mb": 9.350909233093262, "Time in s": 9487.04409 }, { "step": 31680, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.745036143817671, "MicroF1": 0.745036143817671, "MacroF1": 0.7375864352537521, "Memory in Mb": 14.599569320678713, "Time in s": 10044.836672 }, { "step": 32736, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7451962731021842, "MicroF1": 0.7451962731021842, "MacroF1": 0.7406480970104784, "Memory in Mb": 19.12519836425781, "Time in s": 10615.117300000002 }, { "step": 33792, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7402858749371134, "MicroF1": 0.7402858749371134, "MacroF1": 0.7370798749337869, "Memory in Mb": 6.808139801025391, "Time in s": 11202.653786000004 }, { "step": 34848, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7366200820730623, "MicroF1": 0.7366200820730623, "MacroF1": 0.7333315604235389, "Memory in Mb": 5.8602495193481445, "Time in s": 11807.700361000005 }, { "step": 35904, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.733921956382475, "MicroF1": 0.7339219563824751, "MacroF1": 0.7303171015411175, "Memory in Mb": 9.36469554901123, "Time in s": 12429.747970000002 }, { "step": 36960, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7304039611461349, "MicroF1": 0.7304039611461349, "MacroF1": 0.7265687877692525, "Memory in Mb": 14.848862648010254, "Time in s": 13069.446785000002 }, { "step": 38016, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7276864395633302, "MicroF1": 0.7276864395633302, "MacroF1": 0.7236022807953257, "Memory in Mb": 19.807891845703125, "Time in s": 13727.939023000004 }, { "step": 39072, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7250134370760922, "MicroF1": 0.7250134370760921, "MacroF1": 0.7209989950382084, "Memory in Mb": 16.71243381500244, "Time in s": 14405.601845000005 }, { "step": 40128, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7235028783612032, "MicroF1": 0.7235028783612032, "MacroF1": 0.7198278735760195, "Memory in Mb": 8.331427574157715, "Time in s": 15101.835691000002 }, { "step": 41184, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.723623825364835, "MicroF1": 0.723623825364835, "MacroF1": 0.7203262236880287, "Memory in Mb": 6.9819841384887695, "Time in s": 15814.868539000005 }, { "step": 42240, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7240464973129098, "MicroF1": 0.7240464973129098, "MacroF1": 0.7211005399097123, "Memory in Mb": 10.71219539642334, "Time in s": 16543.112989 }, { "step": 43296, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7245409400623629, "MicroF1": 0.7245409400623629, "MacroF1": 0.721844297210525, "Memory in Mb": 10.330558776855469, "Time in s": 17285.760894000003 }, { "step": 44352, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7248765529525828, "MicroF1": 0.7248765529525828, "MacroF1": 0.7223628081683402, "Memory in Mb": 13.299851417541504, "Time in s": 18041.694028 }, { "step": 45408, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7254167859581122, "MicroF1": 0.7254167859581122, "MacroF1": 0.7228420559832612, "Memory in Mb": 15.662115097045898, "Time in s": 18810.181113 }, { "step": 46464, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7263844349267159, "MicroF1": 0.7263844349267159, "MacroF1": 0.7236482152790997, "Memory in Mb": 19.25161361694336, "Time in s": 19591.516438 }, { "step": 47520, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7265304404553968, "MicroF1": 0.7265304404553967, "MacroF1": 0.7240124567772878, "Memory in Mb": 14.065608024597168, "Time in s": 20387.990038000004 }, { "step": 48576, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7304374678332476, "MicroF1": 0.7304374678332476, "MacroF1": 0.7281756207358935, "Memory in Mb": 7.354809761047363, "Time in s": 21197.413376000004 }, { "step": 49632, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7344603171404969, "MicroF1": 0.7344603171404969, "MacroF1": 0.7322565876518081, "Memory in Mb": 7.006095886230469, "Time in s": 22016.972025000003 }, { "step": 50688, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7380590684001815, "MicroF1": 0.7380590684001815, "MacroF1": 0.7356981427827818, "Memory in Mb": 10.14159107208252, "Time in s": 22847.182754 }, { "step": 51744, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7420134124422627, "MicroF1": 0.7420134124422627, "MacroF1": 0.7394134340953542, "Memory in Mb": 13.563420295715332, "Time in s": 23688.037606 }, { "step": 52800, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7451466883842497, "MicroF1": 0.7451466883842497, "MacroF1": 0.7430487162081567, "Memory in Mb": 0.3614501953125, "Time in s": 24535.706056000003 }, { "step": 52848, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Insects", "Accuracy": 0.7453781671618067, "MicroF1": 0.7453781671618067, "MacroF1": 0.7433023109254195, "Memory in Mb": 0.3617935180664062, "Time in s": 25383.518073000003 }, { "step": 408, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9803439803439804, "MicroF1": 0.9803439803439804, "MacroF1": 0.4950372208436724, "Memory in Mb": 0.3354053497314453, "Time in s": 3.23067 }, { "step": 816, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9730061349693252, "MicroF1": 0.9730061349693252, "MacroF1": 0.8116978142719798, "Memory in Mb": 0.988037109375, "Time in s": 11.21298 }, { "step": 1224, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9730171708912512, "MicroF1": 0.9730171708912512, "MacroF1": 0.9579161898493525, "Memory in Mb": 2.195523262023926, "Time in s": 25.427007 }, { "step": 1632, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9693439607602696, "MicroF1": 0.9693439607602696, "MacroF1": 0.9069773132409142, "Memory in Mb": 3.526730537414551, "Time in s": 46.453054 }, { "step": 2040, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9666503187837177, "MicroF1": 0.9666503187837177, "MacroF1": 0.9303026980117672, "Memory in Mb": 5.496582984924316, "Time in s": 74.431187 }, { "step": 2448, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9660809154066204, "MicroF1": 0.9660809154066204, "MacroF1": 0.955517866483744, "Memory in Mb": 2.29970645904541, "Time in s": 107.969459 }, { "step": 2856, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9691768826619964, "MicroF1": 0.9691768826619964, "MacroF1": 0.9674134048328416, "Memory in Mb": 3.376467704772949, "Time in s": 146.96126800000002 }, { "step": 3264, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9672080907140668, "MicroF1": 0.9672080907140668, "MacroF1": 0.9546197483047236, "Memory in Mb": 4.62060546875, "Time in s": 192.073824 }, { "step": 3672, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9684009806592208, "MicroF1": 0.968400980659221, "MacroF1": 0.9654409635782653, "Memory in Mb": 3.119338035583496, "Time in s": 243.354323 }, { "step": 4080, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9644520715861732, "MicroF1": 0.9644520715861732, "MacroF1": 0.95030552665756, "Memory in Mb": 4.705347061157227, "Time in s": 301.433133 }, { "step": 4488, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9661243592600848, "MicroF1": 0.9661243592600848, "MacroF1": 0.9659906155964958, "Memory in Mb": 1.508072853088379, "Time in s": 365.412759 }, { "step": 4896, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9677221654749744, "MicroF1": 0.9677221654749744, "MacroF1": 0.96768641848376, "Memory in Mb": 2.487558364868164, "Time in s": 434.672843 }, { "step": 5304, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9685083914765228, "MicroF1": 0.9685083914765228, "MacroF1": 0.9677400809149086, "Memory in Mb": 2.8771514892578125, "Time in s": 509.854138 }, { "step": 5712, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9690071791279986, "MicroF1": 0.9690071791279986, "MacroF1": 0.968698427792926, "Memory in Mb": 4.140267372131348, "Time in s": 591.7133210000001 }, { "step": 6120, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9671514953423762, "MicroF1": 0.9671514953423762, "MacroF1": 0.9635575047511442, "Memory in Mb": 5.121949195861816, "Time in s": 681.1937680000001 }, { "step": 6528, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9675195342423778, "MicroF1": 0.9675195342423778, "MacroF1": 0.9673223823066148, "Memory in Mb": 2.1385393142700195, "Time in s": 777.2102420000001 }, { "step": 6936, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.968565248738284, "MicroF1": 0.968565248738284, "MacroF1": 0.9688652926813892, "Memory in Mb": 2.7864933013916016, "Time in s": 879.0640510000001 }, { "step": 7344, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9686776521857552, "MicroF1": 0.9686776521857552, "MacroF1": 0.9682274153773373, "Memory in Mb": 3.314570426940918, "Time in s": 987.062921 }, { "step": 7752, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9682621597213262, "MicroF1": 0.9682621597213262, "MacroF1": 0.9674704101631952, "Memory in Mb": 4.690197944641113, "Time in s": 1101.141854 }, { "step": 8160, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.96727540139723, "MicroF1": 0.96727540139723, "MacroF1": 0.9662379529396136, "Memory in Mb": 5.223731994628906, "Time in s": 1221.487909 }, { "step": 8568, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9677833547332788, "MicroF1": 0.9677833547332788, "MacroF1": 0.9678822443058488, "Memory in Mb": 4.885932922363281, "Time in s": 1347.980617 }, { "step": 8976, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9686908077994428, "MicroF1": 0.9686908077994428, "MacroF1": 0.9690861219789196, "Memory in Mb": 6.402636528015137, "Time in s": 1480.694289 }, { "step": 9384, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9683470105509964, "MicroF1": 0.9683470105509964, "MacroF1": 0.9680699356268632, "Memory in Mb": 6.928671836853027, "Time in s": 1620.259773 }, { "step": 9792, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.96864467367991, "MicroF1": 0.96864467367991, "MacroF1": 0.9687197530276812, "Memory in Mb": 5.552419662475586, "Time in s": 1766.078849 }, { "step": 10200, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9684282772820864, "MicroF1": 0.9684282772820866, "MacroF1": 0.9682582636163196, "Memory in Mb": 2.695918083190918, "Time in s": 1917.758924 }, { "step": 10608, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9673800320543038, "MicroF1": 0.9673800320543038, "MacroF1": 0.9668238422002586, "Memory in Mb": 3.239151954650879, "Time in s": 2074.190769 }, { "step": 11016, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9676804357694052, "MicroF1": 0.9676804357694052, "MacroF1": 0.9678040910458204, "Memory in Mb": 4.023995399475098, "Time in s": 2235.420867 }, { "step": 11424, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9677842948437364, "MicroF1": 0.9677842948437364, "MacroF1": 0.9678364439490078, "Memory in Mb": 4.695375442504883, "Time in s": 2402.164192 }, { "step": 11832, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9677119432000676, "MicroF1": 0.9677119432000676, "MacroF1": 0.9677086079179034, "Memory in Mb": 5.258674621582031, "Time in s": 2574.870699 }, { "step": 12240, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.968706593675954, "MicroF1": 0.968706593675954, "MacroF1": 0.9690716756618885, "Memory in Mb": 6.001680374145508, "Time in s": 2753.36713 }, { "step": 12648, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9688463667272872, "MicroF1": 0.9688463667272872, "MacroF1": 0.9689334511448672, "Memory in Mb": 5.217698097229004, "Time in s": 2937.769964 }, { "step": 13056, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9687476062811184, "MicroF1": 0.9687476062811184, "MacroF1": 0.968764477893114, "Memory in Mb": 5.266051292419434, "Time in s": 3127.802403 }, { "step": 13464, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9687291094109782, "MicroF1": 0.9687291094109782, "MacroF1": 0.9687736841624996, "Memory in Mb": 6.279603958129883, "Time in s": 3323.370395 }, { "step": 13872, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9695047220820416, "MicroF1": 0.9695047220820416, "MacroF1": 0.9697384724636318, "Memory in Mb": 4.041820526123047, "Time in s": 3524.041026 }, { "step": 14280, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9682750892919672, "MicroF1": 0.9682750892919672, "MacroF1": 0.9680357071263168, "Memory in Mb": 2.1731691360473637, "Time in s": 3729.110149 }, { "step": 14688, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9686797848437394, "MicroF1": 0.9686797848437394, "MacroF1": 0.9688099431838716, "Memory in Mb": 2.4900379180908203, "Time in s": 3938.33843 }, { "step": 15096, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9692613448161644, "MicroF1": 0.9692613448161644, "MacroF1": 0.9694122553904638, "Memory in Mb": 2.7789316177368164, "Time in s": 4151.996270000001 }, { "step": 15504, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9694897761723538, "MicroF1": 0.9694897761723538, "MacroF1": 0.969571649124791, "Memory in Mb": 3.946505546569824, "Time in s": 4370.227344000001 }, { "step": 15912, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9694550939601534, "MicroF1": 0.9694550939601534, "MacroF1": 0.9694916672888816, "Memory in Mb": 4.345325469970703, "Time in s": 4594.050341000001 }, { "step": 16320, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9695447024940254, "MicroF1": 0.9695447024940254, "MacroF1": 0.9695954968773725, "Memory in Mb": 3.909954071044922, "Time in s": 4823.361799000001 }, { "step": 16728, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9692114545345848, "MicroF1": 0.9692114545345848, "MacroF1": 0.9692084456743588, "Memory in Mb": 1.764338493347168, "Time in s": 5057.2303470000015 }, { "step": 17136, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9696527575138604, "MicroF1": 0.9696527575138604, "MacroF1": 0.9697329621491684, "Memory in Mb": 1.7167367935180664, "Time in s": 5295.013901000001 }, { "step": 17544, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9696745140511884, "MicroF1": 0.9696745140511884, "MacroF1": 0.9697082565052514, "Memory in Mb": 2.814372062683105, "Time in s": 5537.319837000001 }, { "step": 17952, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.968748259149908, "MicroF1": 0.968748259149908, "MacroF1": 0.968705960089485, "Memory in Mb": 2.951136589050293, "Time in s": 5784.484584000001 }, { "step": 18360, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9690070265264992, "MicroF1": 0.9690070265264992, "MacroF1": 0.9690448168177233, "Memory in Mb": 3.5441465377807617, "Time in s": 6036.117893000001 }, { "step": 18768, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9690946874833484, "MicroF1": 0.9690946874833484, "MacroF1": 0.9691164520527108, "Memory in Mb": 4.379698753356934, "Time in s": 6292.729193000001 }, { "step": 19176, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.968761408083442, "MicroF1": 0.968761408083442, "MacroF1": 0.9687617227117352, "Memory in Mb": 3.8120603561401367, "Time in s": 6554.348831000001 }, { "step": 19584, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9689526630240516, "MicroF1": 0.9689526630240516, "MacroF1": 0.9689629146490384, "Memory in Mb": 2.019772529602051, "Time in s": 6819.891372000001 }, { "step": 19992, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9692861787804512, "MicroF1": 0.9692861787804512, "MacroF1": 0.9692901573177236, "Memory in Mb": 1.256450653076172, "Time in s": 7089.584863000001 }, { "step": 20400, "track": "Multiclass classification", "model": "Adaptive Random Forest", "dataset": "Keystroke", "Accuracy": 0.9691161331437816, "MicroF1": 0.9691161331437816, "MacroF1": 0.9691108096285476, "Memory in Mb": 1.6354646682739258, "Time in s": 7363.046142000001 }, { "step": 46, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.5333333333333333, "MicroF1": 0.5333333333333333, "MacroF1": 0.5005728607232367, "Memory in Mb": 0.8510866165161133, "Time in s": 0.941842 }, { "step": 92, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.6153846153846154, "MicroF1": 0.6153846153846154, "MacroF1": 0.596131344383025, "Memory in Mb": 1.5052366256713867, "Time in s": 2.918201 }, { "step": 138, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.6496350364963503, "MicroF1": 0.6496350364963503, "MacroF1": 0.6567305057749026, "Memory in Mb": 2.146304130554199, "Time in s": 6.147886 }, { "step": 184, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.6994535519125683, "MicroF1": 0.6994535519125683, "MacroF1": 0.7070190759413217, "Memory in Mb": 2.7665939331054688, "Time in s": 10.824064 }, { "step": 230, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.7379912663755459, "MicroF1": 0.7379912663755459, "MacroF1": 0.7433871451842025, "Memory in Mb": 3.2484235763549805, "Time in s": 16.931166 }, { "step": 276, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.7490909090909091, "MicroF1": 0.7490909090909091, "MacroF1": 0.7566070103930901, "Memory in Mb": 3.776392936706543, "Time in s": 24.729994 }, { "step": 322, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.7694704049844237, "MicroF1": 0.7694704049844237, "MacroF1": 0.7681721604320974, "Memory in Mb": 4.142314910888672, "Time in s": 34.173162000000005 }, { "step": 368, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.784741144414169, "MicroF1": 0.7847411444141691, "MacroF1": 0.7789718513534348, "Memory in Mb": 4.497910499572754, "Time in s": 45.384105000000005 }, { "step": 414, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.7990314769975787, "MicroF1": 0.7990314769975787, "MacroF1": 0.7943771701942021, "Memory in Mb": 4.869846343994141, "Time in s": 58.265676000000006 }, { "step": 460, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.7973856209150327, "MicroF1": 0.7973856209150327, "MacroF1": 0.7916511033189314, "Memory in Mb": 5.3911848068237305, "Time in s": 73.08883800000001 }, { "step": 506, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.805940594059406, "MicroF1": 0.805940594059406, "MacroF1": 0.8010859843658406, "Memory in Mb": 5.806554794311523, "Time in s": 89.87625100000001 }, { "step": 552, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8076225045372051, "MicroF1": 0.8076225045372051, "MacroF1": 0.8036838079612314, "Memory in Mb": 6.295863151550293, "Time in s": 108.5993 }, { "step": 598, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8174204355108877, "MicroF1": 0.8174204355108878, "MacroF1": 0.8156009215135775, "Memory in Mb": 6.727802276611328, "Time in s": 129.48595400000002 }, { "step": 644, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8211508553654744, "MicroF1": 0.8211508553654744, "MacroF1": 0.8207645722848749, "Memory in Mb": 7.18087100982666, "Time in s": 152.525841 }, { "step": 690, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8229317851959361, "MicroF1": 0.8229317851959362, "MacroF1": 0.8226135245892084, "Memory in Mb": 7.561182022094727, "Time in s": 177.86541200000002 }, { "step": 736, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8231292517006803, "MicroF1": 0.8231292517006803, "MacroF1": 0.8228959515200417, "Memory in Mb": 7.975464820861816, "Time in s": 205.499576 }, { "step": 782, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8309859154929577, "MicroF1": 0.8309859154929577, "MacroF1": 0.8306123687436626, "Memory in Mb": 8.301925659179688, "Time in s": 235.39408200000003 }, { "step": 828, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8343409915356711, "MicroF1": 0.834340991535671, "MacroF1": 0.835521648488366, "Memory in Mb": 8.722038269042969, "Time in s": 267.718494 }, { "step": 874, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8407789232531501, "MicroF1": 0.8407789232531501, "MacroF1": 0.8414965916969209, "Memory in Mb": 9.057206153869627, "Time in s": 302.46008700000004 }, { "step": 920, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8443960826985855, "MicroF1": 0.8443960826985855, "MacroF1": 0.8446110045111287, "Memory in Mb": 9.38282871246338, "Time in s": 339.623661 }, { "step": 966, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8466321243523316, "MicroF1": 0.8466321243523316, "MacroF1": 0.8462590694093756, "Memory in Mb": 9.696897506713867, "Time in s": 379.342347 }, { "step": 1012, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8516320474777448, "MicroF1": 0.8516320474777448, "MacroF1": 0.8504483916737715, "Memory in Mb": 9.949009895324709, "Time in s": 421.625642 }, { "step": 1058, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8571428571428571, "MicroF1": 0.8571428571428571, "MacroF1": 0.8557487568785946, "Memory in Mb": 10.2299222946167, "Time in s": 466.542637 }, { "step": 1104, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8603807796917498, "MicroF1": 0.8603807796917498, "MacroF1": 0.8594481550185353, "Memory in Mb": 10.524299621582031, "Time in s": 514.218423 }, { "step": 1150, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8624891209747607, "MicroF1": 0.8624891209747607, "MacroF1": 0.8612253786789881, "Memory in Mb": 10.737759590148926, "Time in s": 564.599929 }, { "step": 1196, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8652719665271966, "MicroF1": 0.8652719665271966, "MacroF1": 0.8642881992026393, "Memory in Mb": 11.010127067565918, "Time in s": 617.836337 }, { "step": 1242, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8670427074939565, "MicroF1": 0.8670427074939565, "MacroF1": 0.8663181473795101, "Memory in Mb": 11.261144638061523, "Time in s": 674.05967 }, { "step": 1288, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8694638694638694, "MicroF1": 0.8694638694638694, "MacroF1": 0.8687259920464652, "Memory in Mb": 11.505732536315918, "Time in s": 733.385389 }, { "step": 1334, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8709677419354839, "MicroF1": 0.8709677419354839, "MacroF1": 0.870193396369452, "Memory in Mb": 11.826444625854492, "Time in s": 796.067675 }, { "step": 1380, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8745467730239304, "MicroF1": 0.8745467730239304, "MacroF1": 0.874089581073643, "Memory in Mb": 12.086430549621582, "Time in s": 861.584672 }, { "step": 1426, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8771929824561403, "MicroF1": 0.8771929824561403, "MacroF1": 0.8759011931352845, "Memory in Mb": 12.29430866241455, "Time in s": 930.204519 }, { "step": 1472, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8796736913664174, "MicroF1": 0.8796736913664174, "MacroF1": 0.877566397675441, "Memory in Mb": 12.500163078308104, "Time in s": 1001.8141389999998 }, { "step": 1518, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8826631509558339, "MicroF1": 0.8826631509558339, "MacroF1": 0.8803270226288138, "Memory in Mb": 12.740474700927734, "Time in s": 1076.488215 }, { "step": 1564, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8841970569417786, "MicroF1": 0.8841970569417786, "MacroF1": 0.8822041640143002, "Memory in Mb": 12.987508773803713, "Time in s": 1154.350794 }, { "step": 1610, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.886886264760721, "MicroF1": 0.886886264760721, "MacroF1": 0.8850836875294148, "Memory in Mb": 13.252826690673828, "Time in s": 1235.463166 }, { "step": 1656, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.888821752265861, "MicroF1": 0.888821752265861, "MacroF1": 0.8870702351165313, "Memory in Mb": 13.500110626220703, "Time in s": 1319.86391 }, { "step": 1702, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8912404467960023, "MicroF1": 0.8912404467960025, "MacroF1": 0.8905987472429445, "Memory in Mb": 13.767583847045898, "Time in s": 1407.541035 }, { "step": 1748, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8929593589009731, "MicroF1": 0.892959358900973, "MacroF1": 0.8920318510221457, "Memory in Mb": 14.030475616455078, "Time in s": 1498.676265 }, { "step": 1794, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.894032348020078, "MicroF1": 0.894032348020078, "MacroF1": 0.8925886559949978, "Memory in Mb": 14.271255493164062, "Time in s": 1593.100327 }, { "step": 1840, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8945078847199565, "MicroF1": 0.8945078847199565, "MacroF1": 0.8931986390525462, "Memory in Mb": 14.574835777282717, "Time in s": 1691.005218 }, { "step": 1886, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.896551724137931, "MicroF1": 0.896551724137931, "MacroF1": 0.8956464025201587, "Memory in Mb": 14.834091186523438, "Time in s": 1792.408733 }, { "step": 1932, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8964267219057483, "MicroF1": 0.8964267219057483, "MacroF1": 0.8951782213786073, "Memory in Mb": 15.134613037109377, "Time in s": 1897.156299 }, { "step": 1978, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8973191704602934, "MicroF1": 0.8973191704602934, "MacroF1": 0.8961901832930852, "Memory in Mb": 15.326050758361816, "Time in s": 2005.31409 }, { "step": 2024, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8986653484923381, "MicroF1": 0.8986653484923381, "MacroF1": 0.8970310627029995, "Memory in Mb": 15.549851417541504, "Time in s": 2116.877653 }, { "step": 2070, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.8994683421942967, "MicroF1": 0.8994683421942967, "MacroF1": 0.8980105869909577, "Memory in Mb": 15.81621551513672, "Time in s": 2232.114727 }, { "step": 2116, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.900709219858156, "MicroF1": 0.900709219858156, "MacroF1": 0.8989778942952686, "Memory in Mb": 15.957537651062012, "Time in s": 2350.8625340000003 }, { "step": 2162, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.9000462748727441, "MicroF1": 0.9000462748727441, "MacroF1": 0.8982611856050026, "Memory in Mb": 16.206623077392578, "Time in s": 2473.2186990000005 }, { "step": 2208, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.9012233801540552, "MicroF1": 0.9012233801540552, "MacroF1": 0.8993036839855942, "Memory in Mb": 16.400617599487305, "Time in s": 2599.1257530000003 }, { "step": 2254, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.9014647137150466, "MicroF1": 0.9014647137150466, "MacroF1": 0.8999821457114682, "Memory in Mb": 16.693093299865723, "Time in s": 2728.6827460000004 }, { "step": 2300, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.9016963897346671, "MicroF1": 0.9016963897346671, "MacroF1": 0.9003174232892135, "Memory in Mb": 16.988688468933105, "Time in s": 2861.834306 }, { "step": 2310, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "ImageSegments", "Accuracy": 0.9016890428757036, "MicroF1": 0.9016890428757036, "MacroF1": 0.9003808534937335, "Memory in Mb": 17.050235748291016, "Time in s": 2997.696193 }, { "step": 1056, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6511848341232227, "MicroF1": 0.6511848341232227, "MacroF1": 0.5805974192561721, "Memory in Mb": 27.882014274597168, "Time in s": 41.422615 }, { "step": 2112, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6830885836096636, "MicroF1": 0.6830885836096636, "MacroF1": 0.6159001145696381, "Memory in Mb": 53.9009017944336, "Time in s": 137.16292 }, { "step": 3168, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6889801073571203, "MicroF1": 0.6889801073571203, "MacroF1": 0.6135176771695448, "Memory in Mb": 79.45620250701904, "Time in s": 291.10856 }, { "step": 4224, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6954771489462468, "MicroF1": 0.6954771489462468, "MacroF1": 0.6159765684907534, "Memory in Mb": 104.90542316436768, "Time in s": 501.70617 }, { "step": 5280, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7003220306876302, "MicroF1": 0.7003220306876302, "MacroF1": 0.6217575035584229, "Memory in Mb": 130.7021541595459, "Time in s": 768.289754 }, { "step": 6336, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7021310181531176, "MicroF1": 0.7021310181531176, "MacroF1": 0.622391174421368, "Memory in Mb": 156.0168752670288, "Time in s": 1090.319759 }, { "step": 7392, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7027465836828576, "MicroF1": 0.7027465836828576, "MacroF1": 0.6232948240709647, "Memory in Mb": 180.8397483825684, "Time in s": 1466.44078 }, { "step": 8448, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7040369361903634, "MicroF1": 0.7040369361903634, "MacroF1": 0.6235946437988805, "Memory in Mb": 205.63252925872803, "Time in s": 1896.370643 }, { "step": 9504, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7105124697463959, "MicroF1": 0.7105124697463959, "MacroF1": 0.6284709935917355, "Memory in Mb": 229.19151210784912, "Time in s": 2381.431795 }, { "step": 10560, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7140827729898664, "MicroF1": 0.7140827729898664, "MacroF1": 0.6302854833117341, "Memory in Mb": 253.17632389068604, "Time in s": 2925.98814 }, { "step": 11616, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.71562634524322, "MicroF1": 0.7156263452432199, "MacroF1": 0.6305326785921538, "Memory in Mb": 277.4567346572876, "Time in s": 3530.852036 }, { "step": 12672, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7145450240707126, "MicroF1": 0.7145450240707125, "MacroF1": 0.6284185449457835, "Memory in Mb": 301.7114896774292, "Time in s": 4201.052974 }, { "step": 13728, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.7057623661397247, "MicroF1": 0.7057623661397247, "MacroF1": 0.6885364031919957, "Memory in Mb": 327.2237205505371, "Time in s": 4936.820951 }, { "step": 14784, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6967462625989312, "MicroF1": 0.6967462625989312, "MacroF1": 0.69194472505998, "Memory in Mb": 352.6018476486206, "Time in s": 5738.465999 }, { "step": 15840, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.676684134099375, "MicroF1": 0.676684134099375, "MacroF1": 0.673854549025314, "Memory in Mb": 384.9730758666992, "Time in s": 6613.285946 }, { "step": 16896, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6698431488606097, "MicroF1": 0.6698431488606097, "MacroF1": 0.668750254945471, "Memory in Mb": 415.2214603424072, "Time in s": 7559.921071 }, { "step": 17952, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6646983454960727, "MicroF1": 0.6646983454960727, "MacroF1": 0.6646134205077884, "Memory in Mb": 444.32067584991455, "Time in s": 8589.520858 }, { "step": 19008, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6620192560635555, "MicroF1": 0.6620192560635555, "MacroF1": 0.6605985532750915, "Memory in Mb": 472.75781440734863, "Time in s": 9705.665905 }, { "step": 20064, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6597717190848826, "MicroF1": 0.6597717190848826, "MacroF1": 0.6570293922418718, "Memory in Mb": 499.4876089096069, "Time in s": 10901.076562 }, { "step": 21120, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6539608882996354, "MicroF1": 0.6539608882996354, "MacroF1": 0.6496192149174075, "Memory in Mb": 528.8777961730957, "Time in s": 12166.701144 }, { "step": 22176, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6547463359639233, "MicroF1": 0.6547463359639233, "MacroF1": 0.6484047117859243, "Memory in Mb": 557.1920728683472, "Time in s": 13501.384366 }, { "step": 23232, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6583444535319185, "MicroF1": 0.6583444535319185, "MacroF1": 0.6499882024630633, "Memory in Mb": 584.0554361343384, "Time in s": 14901.095396 }, { "step": 24288, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6611767612302878, "MicroF1": 0.6611767612302878, "MacroF1": 0.6506059068013808, "Memory in Mb": 610.3706150054932, "Time in s": 16366.700533 }, { "step": 25344, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6659827171210986, "MicroF1": 0.6659827171210986, "MacroF1": 0.6532433614752314, "Memory in Mb": 635.6853046417236, "Time in s": 17901.739193 }, { "step": 26400, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6702526610856472, "MicroF1": 0.6702526610856472, "MacroF1": 0.6554263220708306, "Memory in Mb": 660.4025926589966, "Time in s": 19504.786084 }, { "step": 27456, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6745947914769623, "MicroF1": 0.6745947914769623, "MacroF1": 0.6575507550972549, "Memory in Mb": 684.36501121521, "Time in s": 21172.086014 }, { "step": 28512, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6705482094630143, "MicroF1": 0.6705482094630143, "MacroF1": 0.6539581966383304, "Memory in Mb": 712.6770572662354, "Time in s": 22902.746936 }, { "step": 29568, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6644231744850678, "MicroF1": 0.6644231744850678, "MacroF1": 0.6512239029866641, "Memory in Mb": 743.5559530258179, "Time in s": 24691.477434 }, { "step": 30624, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6622799856317148, "MicroF1": 0.6622799856317148, "MacroF1": 0.6527566844616065, "Memory in Mb": 772.5478630065918, "Time in s": 26538.585641 }, { "step": 31680, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6621736797247388, "MicroF1": 0.6621736797247388, "MacroF1": 0.6557760097374935, "Memory in Mb": 800.5439138412476, "Time in s": 28440.416189000003 }, { "step": 32736, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6623797159004124, "MicroF1": 0.6623797159004124, "MacroF1": 0.6584479912704261, "Memory in Mb": 827.4998264312744, "Time in s": 30418.714512 }, { "step": 33792, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6575123553608949, "MicroF1": 0.6575123553608949, "MacroF1": 0.6541419435809196, "Memory in Mb": 857.7161102294922, "Time in s": 32439.386127 }, { "step": 34848, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6519069073377909, "MicroF1": 0.6519069073377909, "MacroF1": 0.6481893367707658, "Memory in Mb": 888.8327789306641, "Time in s": 34499.720344 }, { "step": 35904, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.647550343982397, "MicroF1": 0.647550343982397, "MacroF1": 0.643407015045196, "Memory in Mb": 919.6311988830566, "Time in s": 36599.09766 }, { "step": 36960, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6444438431775752, "MicroF1": 0.6444438431775752, "MacroF1": 0.6400224052225335, "Memory in Mb": 949.7819452285768, "Time in s": 38735.650911 }, { "step": 38016, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6425358411153492, "MicroF1": 0.6425358411153492, "MacroF1": 0.6377821595167165, "Memory in Mb": 979.4456567764282, "Time in s": 40896.763765 }, { "step": 39072, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6414476209976709, "MicroF1": 0.6414476209976709, "MacroF1": 0.6370415360917451, "Memory in Mb": 1009.0255756378174, "Time in s": 43085.847267 }, { "step": 40128, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6409898572033793, "MicroF1": 0.6409898572033793, "MacroF1": 0.636858231937463, "Memory in Mb": 1037.841980934143, "Time in s": 45303.144751 }, { "step": 41184, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6414782798727631, "MicroF1": 0.6414782798727631, "MacroF1": 0.637272014233453, "Memory in Mb": 1065.1163549423218, "Time in s": 47540.369251 }, { "step": 42240, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6428419233409882, "MicroF1": 0.6428419233409882, "MacroF1": 0.6385110475108609, "Memory in Mb": 1091.8334274291992, "Time in s": 49803.522006 }, { "step": 43296, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6441159487238711, "MicroF1": 0.6441159487238711, "MacroF1": 0.6396283228479406, "Memory in Mb": 1118.1560363769531, "Time in s": 52086.93226 }, { "step": 44352, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.645058735992424, "MicroF1": 0.645058735992424, "MacroF1": 0.6403851797193834, "Memory in Mb": 1144.4119939804075, "Time in s": 54391.61903 }, { "step": 45408, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6469266853128373, "MicroF1": 0.6469266853128373, "MacroF1": 0.6418265850265934, "Memory in Mb": 1169.9601306915283, "Time in s": 56719.958571 }, { "step": 46464, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6487742935238792, "MicroF1": 0.6487742935238792, "MacroF1": 0.643191402092947, "Memory in Mb": 1194.640343666077, "Time in s": 59073.094705 }, { "step": 47520, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6459521454576065, "MicroF1": 0.6459521454576065, "MacroF1": 0.6406800374556137, "Memory in Mb": 1224.6073780059814, "Time in s": 61451.967815 }, { "step": 48576, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6443643849716932, "MicroF1": 0.6443643849716932, "MacroF1": 0.6398250343320808, "Memory in Mb": 1254.4350862503052, "Time in s": 63857.884093 }, { "step": 49632, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6446172754931394, "MicroF1": 0.6446172754931394, "MacroF1": 0.6406945505071863, "Memory in Mb": 1282.3891849517822, "Time in s": 66293.298766 }, { "step": 50688, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6461222798745241, "MicroF1": 0.6461222798745241, "MacroF1": 0.6426238276925219, "Memory in Mb": 1309.4736614227295, "Time in s": 68755.018108 }, { "step": 51744, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6489186943161394, "MicroF1": 0.6489186943161394, "MacroF1": 0.6457243405011626, "Memory in Mb": 1334.444143295288, "Time in s": 71244.151045 }, { "step": 52800, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6470577094263149, "MicroF1": 0.6470577094263149, "MacroF1": 0.6443966707674731, "Memory in Mb": 1363.999231338501, "Time in s": 73759.934152 }, { "step": 52848, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Insects", "Accuracy": 0.6469809071470471, "MicroF1": 0.6469809071470471, "MacroF1": 0.6443518314696601, "Memory in Mb": 1365.409776687622, "Time in s": 76295.692169 }, { "step": 408, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9901719901719902, "MicroF1": 0.9901719901719902, "MacroF1": 0.8308395677472984, "Memory in Mb": 0.1227684020996093, "Time in s": 1.485322 }, { "step": 816, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9914110429447852, "MicroF1": 0.9914110429447852, "MacroF1": 0.960934413925625, "Memory in Mb": 0.4158411026000976, "Time in s": 6.729082 }, { "step": 1224, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9893704006541292, "MicroF1": 0.9893704006541292, "MacroF1": 0.9580466011674303, "Memory in Mb": 1.2467107772827148, "Time in s": 20.14849 }, { "step": 1632, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9889638258736972, "MicroF1": 0.9889638258736972, "MacroF1": 0.9786672150923964, "Memory in Mb": 2.28104305267334, "Time in s": 50.264957 }, { "step": 2040, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.988719960765081, "MicroF1": 0.988719960765081, "MacroF1": 0.9803510904896324, "Memory in Mb": 3.352717399597168, "Time in s": 91.643431 }, { "step": 2448, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9885574172456068, "MicroF1": 0.9885574172456068, "MacroF1": 0.983046879237058, "Memory in Mb": 4.983606338500977, "Time in s": 148.278076 }, { "step": 2856, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9852889667250436, "MicroF1": 0.9852889667250436, "MacroF1": 0.9737767108051044, "Memory in Mb": 6.963967323303223, "Time in s": 227.073424 }, { "step": 3264, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9825314128102972, "MicroF1": 0.9825314128102972, "MacroF1": 0.9734338986941852, "Memory in Mb": 9.8344087600708, "Time in s": 324.702985 }, { "step": 3672, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.982293652955598, "MicroF1": 0.982293652955598, "MacroF1": 0.9788760747631072, "Memory in Mb": 12.7888765335083, "Time in s": 446.356435 }, { "step": 4080, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9806325079676392, "MicroF1": 0.9806325079676392, "MacroF1": 0.9749453255203756, "Memory in Mb": 16.445659637451172, "Time in s": 594.71846 }, { "step": 4488, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9801649208825496, "MicroF1": 0.9801649208825496, "MacroF1": 0.9779116862524244, "Memory in Mb": 20.943636894226078, "Time in s": 768.8230350000001 }, { "step": 4896, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9801838610827376, "MicroF1": 0.9801838610827376, "MacroF1": 0.978782474664832, "Memory in Mb": 24.856953620910645, "Time in s": 967.611442 }, { "step": 5304, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9768055817461814, "MicroF1": 0.9768055817461814, "MacroF1": 0.9702080932270808, "Memory in Mb": 28.10527801513672, "Time in s": 1191.0213970000002 }, { "step": 5712, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9746104009805638, "MicroF1": 0.9746104009805638, "MacroF1": 0.9718234131704068, "Memory in Mb": 32.14579772949219, "Time in s": 1440.171835 }, { "step": 6120, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9697663016832816, "MicroF1": 0.9697663016832816, "MacroF1": 0.9621279568251032, "Memory in Mb": 36.40912055969238, "Time in s": 1717.813161 }, { "step": 6528, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9656810173127012, "MicroF1": 0.9656810173127012, "MacroF1": 0.9634765255010708, "Memory in Mb": 42.20043754577637, "Time in s": 2023.330442 }, { "step": 6936, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9653929343907716, "MicroF1": 0.9653929343907716, "MacroF1": 0.9646253117338192, "Memory in Mb": 46.97204208374024, "Time in s": 2355.811343 }, { "step": 7344, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9635026555903582, "MicroF1": 0.9635026555903582, "MacroF1": 0.96110342818104, "Memory in Mb": 50.8284969329834, "Time in s": 2716.693574 }, { "step": 7752, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9610372855115468, "MicroF1": 0.9610372855115468, "MacroF1": 0.9585597537512924, "Memory in Mb": 55.062747955322266, "Time in s": 3108.019641 }, { "step": 8160, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9593087388160314, "MicroF1": 0.9593087388160314, "MacroF1": 0.9577319445930262, "Memory in Mb": 59.75967216491699, "Time in s": 3529.961458 }, { "step": 8568, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9598459203922026, "MicroF1": 0.9598459203922026, "MacroF1": 0.960171378024828, "Memory in Mb": 65.88526916503906, "Time in s": 3981.552133 }, { "step": 8976, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.959108635097493, "MicroF1": 0.959108635097493, "MacroF1": 0.9586518345557712, "Memory in Mb": 71.85272026062012, "Time in s": 4465.222941 }, { "step": 9384, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9573697111797932, "MicroF1": 0.9573697111797932, "MacroF1": 0.956135316427552, "Memory in Mb": 78.18439388275146, "Time in s": 4984.801354 }, { "step": 9792, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9555714431620876, "MicroF1": 0.9555714431620876, "MacroF1": 0.9546392488298882, "Memory in Mb": 85.86389446258545, "Time in s": 5537.4752260000005 }, { "step": 10200, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9486224139621532, "MicroF1": 0.9486224139621532, "MacroF1": 0.9433099305923252, "Memory in Mb": 94.35744285583496, "Time in s": 6127.477763000001 }, { "step": 10608, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.943150749505044, "MicroF1": 0.943150749505044, "MacroF1": 0.9403442056943528, "Memory in Mb": 104.1574821472168, "Time in s": 6756.480909000001 }, { "step": 11016, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9408987743985474, "MicroF1": 0.9408987743985474, "MacroF1": 0.9399975161043574, "Memory in Mb": 113.0038013458252, "Time in s": 7421.284759000001 }, { "step": 11424, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9380197846450145, "MicroF1": 0.9380197846450145, "MacroF1": 0.936341059397272, "Memory in Mb": 121.46645069122314, "Time in s": 8125.715779000001 }, { "step": 11832, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9322965091708224, "MicroF1": 0.9322965091708224, "MacroF1": 0.9294143034054052, "Memory in Mb": 131.1031150817871, "Time in s": 8872.899296000001 }, { "step": 12240, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9326742380913472, "MicroF1": 0.9326742380913472, "MacroF1": 0.9327603226303838, "Memory in Mb": 137.88959789276123, "Time in s": 9652.703167 }, { "step": 12648, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.927571756147703, "MicroF1": 0.927571756147703, "MacroF1": 0.9249549620362734, "Memory in Mb": 145.5888376235962, "Time in s": 10475.658214 }, { "step": 13056, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9247797778628878, "MicroF1": 0.9247797778628878, "MacroF1": 0.92370720847711, "Memory in Mb": 154.53871536254883, "Time in s": 11346.213643 }, { "step": 13464, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9238654088984624, "MicroF1": 0.9238654088984624, "MacroF1": 0.9233692422863464, "Memory in Mb": 161.3583574295044, "Time in s": 12266.045404 }, { "step": 13872, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9202653017086008, "MicroF1": 0.9202653017086008, "MacroF1": 0.9191663953636944, "Memory in Mb": 170.12918186187744, "Time in s": 13231.481182 }, { "step": 14280, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.916310666013026, "MicroF1": 0.916310666013026, "MacroF1": 0.9150341930556872, "Memory in Mb": 179.0350112915039, "Time in s": 14245.599713 }, { "step": 14688, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9161162933206236, "MicroF1": 0.9161162933206236, "MacroF1": 0.9160540991607554, "Memory in Mb": 184.834698677063, "Time in s": 15311.95464 }, { "step": 15096, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9145412388208016, "MicroF1": 0.9145412388208016, "MacroF1": 0.91429667624259, "Memory in Mb": 191.58009719848636, "Time in s": 16433.239395 }, { "step": 15504, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9105979487841064, "MicroF1": 0.9105979487841064, "MacroF1": 0.909716370830996, "Memory in Mb": 200.08039951324463, "Time in s": 17613.909715 }, { "step": 15912, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9068568914587392, "MicroF1": 0.9068568914587392, "MacroF1": 0.9060681758481206, "Memory in Mb": 210.5000762939453, "Time in s": 18848.20155 }, { "step": 16320, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9031190636681168, "MicroF1": 0.9031190636681168, "MacroF1": 0.9023660107991418, "Memory in Mb": 221.55222129821777, "Time in s": 20131.794746000003 }, { "step": 16728, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.9005799007592515, "MicroF1": 0.9005799007592515, "MacroF1": 0.9001704241319546, "Memory in Mb": 231.28063201904297, "Time in s": 21466.799965 }, { "step": 17136, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8989203384884739, "MicroF1": 0.8989203384884739, "MacroF1": 0.8987537815839572, "Memory in Mb": 248.11264038085935, "Time in s": 22840.808564000003 }, { "step": 17544, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.893746793592886, "MicroF1": 0.8937467935928861, "MacroF1": 0.892807745348426, "Memory in Mb": 267.53482723236084, "Time in s": 24265.711089000004 }, { "step": 17952, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8894212021614395, "MicroF1": 0.8894212021614395, "MacroF1": 0.8884694521151855, "Memory in Mb": 281.7739496231079, "Time in s": 25739.620728000005 }, { "step": 18360, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8911705430579008, "MicroF1": 0.8911705430579007, "MacroF1": 0.8908032768807751, "Memory in Mb": 288.0978307723999, "Time in s": 27256.627666000004 }, { "step": 18768, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8911387009111739, "MicroF1": 0.8911387009111739, "MacroF1": 0.8906428613252552, "Memory in Mb": 296.0527210235596, "Time in s": 28820.747713000004 }, { "step": 19176, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8886049543676662, "MicroF1": 0.8886049543676662, "MacroF1": 0.8879368647002966, "Memory in Mb": 307.6826677322388, "Time in s": 30435.23145800001 }, { "step": 19584, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8895470561201042, "MicroF1": 0.8895470561201042, "MacroF1": 0.889061241536932, "Memory in Mb": 313.4344787597656, "Time in s": 32089.799369000008 }, { "step": 19992, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8862488119653844, "MicroF1": 0.8862488119653844, "MacroF1": 0.8855123768505595, "Memory in Mb": 324.9442596435547, "Time in s": 33786.733744000005 }, { "step": 20400, "track": "Multiclass classification", "model": "Aggregated Mondrian Forest", "dataset": "Keystroke", "Accuracy": 0.8810726015981175, "MicroF1": 0.8810726015981175, "MacroF1": 0.8799282628097613, "Memory in Mb": 338.1390075683594, "Time in s": 35528.434162000005 }, { "step": 46, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.3555555555555555, "MicroF1": 0.3555555555555555, "MacroF1": 0.2468487394957983, "Memory in Mb": 2.5926971435546875, "Time in s": 5.672061 }, { "step": 92, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.5274725274725275, "MicroF1": 0.5274725274725275, "MacroF1": 0.5392220990960486, "Memory in Mb": 2.5963096618652344, "Time in s": 17.740863 }, { "step": 138, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.5401459854014599, "MicroF1": 0.5401459854014599, "MacroF1": 0.5661177456005042, "Memory in Mb": 2.5979232788085938, "Time in s": 35.937815 }, { "step": 184, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.5956284153005464, "MicroF1": 0.5956284153005464, "MacroF1": 0.6144104879239446, "Memory in Mb": 2.6004638671875, "Time in s": 59.975895 }, { "step": 230, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6200873362445415, "MicroF1": 0.6200873362445415, "MacroF1": 0.6319742698014011, "Memory in Mb": 2.6008224487304688, "Time in s": 89.681265 }, { "step": 276, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6327272727272727, "MicroF1": 0.6327272727272727, "MacroF1": 0.6440706793955739, "Memory in Mb": 2.601276397705078, "Time in s": 125.043898 }, { "step": 322, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6573208722741433, "MicroF1": 0.6573208722741433, "MacroF1": 0.6535377647060517, "Memory in Mb": 2.6028709411621094, "Time in s": 166.036362 }, { "step": 368, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6784741144414169, "MicroF1": 0.6784741144414169, "MacroF1": 0.6717418242612484, "Memory in Mb": 2.6031723022460938, "Time in s": 212.735146 }, { "step": 414, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6900726392251816, "MicroF1": 0.6900726392251816, "MacroF1": 0.6823551618652942, "Memory in Mb": 2.603717803955078, "Time in s": 265.175489 }, { "step": 460, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6971677559912854, "MicroF1": 0.6971677559912854, "MacroF1": 0.686858403065277, "Memory in Mb": 2.60379409790039, "Time in s": 323.486791 }, { "step": 506, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.699009900990099, "MicroF1": 0.699009900990099, "MacroF1": 0.6869845800125663, "Memory in Mb": 2.604084014892578, "Time in s": 387.600808 }, { "step": 552, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6987295825771325, "MicroF1": 0.6987295825771325, "MacroF1": 0.6895132041566728, "Memory in Mb": 2.6040496826171875, "Time in s": 457.323817 }, { "step": 598, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7035175879396985, "MicroF1": 0.7035175879396985, "MacroF1": 0.6939747146282641, "Memory in Mb": 2.6041183471679688, "Time in s": 532.682096 }, { "step": 644, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.6998444790046656, "MicroF1": 0.6998444790046656, "MacroF1": 0.6913714585468268, "Memory in Mb": 2.6053123474121094, "Time in s": 613.490084 }, { "step": 690, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7024673439767779, "MicroF1": 0.7024673439767779, "MacroF1": 0.6944906634267102, "Memory in Mb": 2.6058921813964844, "Time in s": 699.880084 }, { "step": 736, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7020408163265306, "MicroF1": 0.7020408163265306, "MacroF1": 0.69548275919944, "Memory in Mb": 2.605987548828125, "Time in s": 791.65329 }, { "step": 782, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.706786171574904, "MicroF1": 0.706786171574904, "MacroF1": 0.6991539785967766, "Memory in Mb": 2.6064224243164062, "Time in s": 888.981823 }, { "step": 828, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7085852478839177, "MicroF1": 0.7085852478839177, "MacroF1": 0.70309750989463, "Memory in Mb": 2.6064682006835938, "Time in s": 991.647497 }, { "step": 874, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.715922107674685, "MicroF1": 0.7159221076746849, "MacroF1": 0.7073525059690206, "Memory in Mb": 2.6064682006835938, "Time in s": 1099.573439 }, { "step": 920, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7170837867247007, "MicroF1": 0.7170837867247007, "MacroF1": 0.707165908654469, "Memory in Mb": 2.6064682006835938, "Time in s": 1212.915424 }, { "step": 966, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7160621761658031, "MicroF1": 0.716062176165803, "MacroF1": 0.7063689525089133, "Memory in Mb": 2.6064682006835938, "Time in s": 1331.559339 }, { "step": 1012, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7151335311572701, "MicroF1": 0.7151335311572701, "MacroF1": 0.7047830593764105, "Memory in Mb": 2.6064910888671875, "Time in s": 1455.3800170000002 }, { "step": 1058, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7152317880794702, "MicroF1": 0.7152317880794702, "MacroF1": 0.7037726227430311, "Memory in Mb": 2.606658935546875, "Time in s": 1584.327081 }, { "step": 1104, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.71441523118767, "MicroF1": 0.71441523118767, "MacroF1": 0.7026447500373862, "Memory in Mb": 2.6067771911621094, "Time in s": 1718.245947 }, { "step": 1150, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7162750217580505, "MicroF1": 0.7162750217580505, "MacroF1": 0.7030218527348165, "Memory in Mb": 2.6067771911621094, "Time in s": 1857.022931 }, { "step": 1196, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7179916317991631, "MicroF1": 0.7179916317991631, "MacroF1": 0.705575475090573, "Memory in Mb": 2.379610061645508, "Time in s": 2000.273372 }, { "step": 1242, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7155519742143432, "MicroF1": 0.7155519742143431, "MacroF1": 0.7053749246401603, "Memory in Mb": 3.185004234313965, "Time in s": 2147.034729 }, { "step": 1288, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7156177156177156, "MicroF1": 0.7156177156177156, "MacroF1": 0.7041730806550314, "Memory in Mb": 3.633350372314453, "Time in s": 2296.192092 }, { "step": 1334, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7149287321830458, "MicroF1": 0.7149287321830458, "MacroF1": 0.7045092702498074, "Memory in Mb": 4.368736267089844, "Time in s": 2447.850078 }, { "step": 1380, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7186366932559826, "MicroF1": 0.7186366932559827, "MacroF1": 0.7102131417787841, "Memory in Mb": 4.724300384521484, "Time in s": 2601.871177 }, { "step": 1426, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7256140350877193, "MicroF1": 0.7256140350877193, "MacroF1": 0.7174099613082184, "Memory in Mb": 4.89253044128418, "Time in s": 2758.036552 }, { "step": 1472, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7273963290278722, "MicroF1": 0.7273963290278722, "MacroF1": 0.7183919320082559, "Memory in Mb": 5.412370681762695, "Time in s": 2916.512936 }, { "step": 1518, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7211601845748187, "MicroF1": 0.7211601845748187, "MacroF1": 0.7136134581802791, "Memory in Mb": 6.487729072570801, "Time in s": 3077.492565 }, { "step": 1564, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7172104926423545, "MicroF1": 0.7172104926423546, "MacroF1": 0.7129536273040751, "Memory in Mb": 6.405126571655273, "Time in s": 3241.109 }, { "step": 1610, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7209446861404599, "MicroF1": 0.7209446861404599, "MacroF1": 0.7163536024764182, "Memory in Mb": 6.857941627502441, "Time in s": 3407.317179 }, { "step": 1656, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7238670694864048, "MicroF1": 0.7238670694864048, "MacroF1": 0.7196892738307762, "Memory in Mb": 7.034061431884766, "Time in s": 3576.258732 }, { "step": 1702, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7260435038212816, "MicroF1": 0.7260435038212816, "MacroF1": 0.7238533950478148, "Memory in Mb": 7.623349189758301, "Time in s": 3747.864612 }, { "step": 1748, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7309673726388094, "MicroF1": 0.7309673726388093, "MacroF1": 0.7286270619416129, "Memory in Mb": 8.106144905090332, "Time in s": 3922.063963000001 }, { "step": 1794, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7361963190184049, "MicroF1": 0.7361963190184049, "MacroF1": 0.7329274067865035, "Memory in Mb": 8.185744285583496, "Time in s": 4098.8506050000005 }, { "step": 1840, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7389885807504079, "MicroF1": 0.7389885807504077, "MacroF1": 0.7360694376974826, "Memory in Mb": 8.929247856140137, "Time in s": 4278.2789060000005 }, { "step": 1886, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7411140583554376, "MicroF1": 0.7411140583554376, "MacroF1": 0.7396669191579938, "Memory in Mb": 9.100563049316406, "Time in s": 4460.600751000001 }, { "step": 1932, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7431382703262558, "MicroF1": 0.7431382703262558, "MacroF1": 0.7411378754700444, "Memory in Mb": 9.223885536193848, "Time in s": 4645.683986000001 }, { "step": 1978, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7465857359635811, "MicroF1": 0.746585735963581, "MacroF1": 0.744200926808846, "Memory in Mb": 9.401692390441896, "Time in s": 4833.458731000001 }, { "step": 2024, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7508650519031141, "MicroF1": 0.7508650519031143, "MacroF1": 0.7476945996538615, "Memory in Mb": 9.481804847717283, "Time in s": 5024.230846 }, { "step": 2070, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7549540840985983, "MicroF1": 0.7549540840985983, "MacroF1": 0.7524477298078486, "Memory in Mb": 9.431160926818848, "Time in s": 5217.969956000001 }, { "step": 2116, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7583924349881797, "MicroF1": 0.7583924349881797, "MacroF1": 0.7554386161495508, "Memory in Mb": 9.549637794494627, "Time in s": 5414.604524000001 }, { "step": 2162, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7607589079130033, "MicroF1": 0.7607589079130033, "MacroF1": 0.7577216433051415, "Memory in Mb": 10.151451110839844, "Time in s": 5614.378132000002 }, { "step": 2208, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7648391481649298, "MicroF1": 0.7648391481649298, "MacroF1": 0.7614528787516565, "Memory in Mb": 9.14443588256836, "Time in s": 5817.274926000002 }, { "step": 2254, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7652019529516201, "MicroF1": 0.7652019529516201, "MacroF1": 0.762166830901651, "Memory in Mb": 8.801234245300293, "Time in s": 6023.198429000002 }, { "step": 2300, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7672901261418008, "MicroF1": 0.7672901261418008, "MacroF1": 0.7647372124971393, "Memory in Mb": 8.857858657836914, "Time in s": 6232.074878000002 }, { "step": 2310, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "ImageSegments", "Accuracy": 0.7669987007362494, "MicroF1": 0.7669987007362494, "MacroF1": 0.7647069285577738, "Memory in Mb": 8.926526069641113, "Time in s": 6441.814766000002 }, { "step": 1056, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6388625592417062, "MicroF1": 0.6388625592417062, "MacroF1": 0.6031100134310133, "Memory in Mb": 8.730474472045898, "Time in s": 177.190345 }, { "step": 2112, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.659403126480341, "MicroF1": 0.659403126480341, "MacroF1": 0.6244477305834598, "Memory in Mb": 21.138185501098636, "Time in s": 477.6689290000001 }, { "step": 3168, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6722450268392801, "MicroF1": 0.6722450268392801, "MacroF1": 0.6321534006670183, "Memory in Mb": 28.433568000793457, "Time in s": 884.814326 }, { "step": 4224, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.680322045938906, "MicroF1": 0.680322045938906, "MacroF1": 0.6340126191391743, "Memory in Mb": 39.2259521484375, "Time in s": 1406.7405990000002 }, { "step": 5280, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6878196628149271, "MicroF1": 0.6878196628149271, "MacroF1": 0.6395508722492685, "Memory in Mb": 32.51231288909912, "Time in s": 2046.4837620000003 }, { "step": 6336, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6876085240726125, "MicroF1": 0.6876085240726125, "MacroF1": 0.641396967542699, "Memory in Mb": 34.57641696929932, "Time in s": 2792.1074670000003 }, { "step": 7392, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6924638073332431, "MicroF1": 0.6924638073332431, "MacroF1": 0.6467777725107727, "Memory in Mb": 40.06835174560547, "Time in s": 3634.422347 }, { "step": 8448, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6949212738250267, "MicroF1": 0.6949212738250267, "MacroF1": 0.6476372139610082, "Memory in Mb": 43.01965808868408, "Time in s": 4571.1184410000005 }, { "step": 9504, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.6992528675155214, "MicroF1": 0.6992528675155214, "MacroF1": 0.6494082466298291, "Memory in Mb": 45.71251583099365, "Time in s": 5608.992399000001 }, { "step": 10560, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7013921772895161, "MicroF1": 0.7013921772895161, "MacroF1": 0.6506452100316108, "Memory in Mb": 50.31043148040772, "Time in s": 6744.395149000001 }, { "step": 11616, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7043478260869566, "MicroF1": 0.7043478260869566, "MacroF1": 0.6524912605091605, "Memory in Mb": 59.27919769287109, "Time in s": 7964.619750000001 }, { "step": 12672, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7079946334148843, "MicroF1": 0.7079946334148843, "MacroF1": 0.6596828376773001, "Memory in Mb": 72.61201000213623, "Time in s": 9269.589572 }, { "step": 13728, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7208421359364756, "MicroF1": 0.7208421359364756, "MacroF1": 0.7145906055666686, "Memory in Mb": 38.78250694274902, "Time in s": 10625.218377 }, { "step": 14784, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7285395386592708, "MicroF1": 0.7285395386592708, "MacroF1": 0.7256542392368915, "Memory in Mb": 15.54647731781006, "Time in s": 12027.231464 }, { "step": 15840, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7206263021655408, "MicroF1": 0.7206263021655408, "MacroF1": 0.7196216319492748, "Memory in Mb": 14.88278579711914, "Time in s": 13491.676191 }, { "step": 16896, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7171352471145309, "MicroF1": 0.7171352471145309, "MacroF1": 0.7175260611854538, "Memory in Mb": 21.28149700164795, "Time in s": 15025.812845 }, { "step": 17952, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7121051751991533, "MicroF1": 0.7121051751991533, "MacroF1": 0.7136617513297842, "Memory in Mb": 29.336480140686035, "Time in s": 16621.157643 }, { "step": 19008, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7205240174672489, "MicroF1": 0.720524017467249, "MacroF1": 0.7180961996594418, "Memory in Mb": 20.976608276367188, "Time in s": 18267.655245 }, { "step": 20064, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7261625878482779, "MicroF1": 0.7261625878482779, "MacroF1": 0.7198561207408494, "Memory in Mb": 15.994047164916992, "Time in s": 19960.279521 }, { "step": 21120, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7272598134381363, "MicroF1": 0.7272598134381363, "MacroF1": 0.7183389579277755, "Memory in Mb": 17.52824878692627, "Time in s": 21708.029386999995 }, { "step": 22176, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7281623449830891, "MicroF1": 0.7281623449830891, "MacroF1": 0.7167723651435352, "Memory in Mb": 22.240838050842285, "Time in s": 23503.558300999997 }, { "step": 23232, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7307477078042272, "MicroF1": 0.7307477078042272, "MacroF1": 0.7170791531651185, "Memory in Mb": 26.114503860473636, "Time in s": 25348.434525999997 }, { "step": 24288, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7325318071396221, "MicroF1": 0.7325318071396222, "MacroF1": 0.7165563330554671, "Memory in Mb": 27.97449111938477, "Time in s": 27240.683159999997 }, { "step": 25344, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7353904431203883, "MicroF1": 0.7353904431203884, "MacroF1": 0.7174524973348954, "Memory in Mb": 37.12833023071289, "Time in s": 29182.513668999996 }, { "step": 26400, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7367703322095533, "MicroF1": 0.7367703322095533, "MacroF1": 0.7168965346030137, "Memory in Mb": 31.575971603393555, "Time in s": 31184.058177999992 }, { "step": 27456, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.738371881260244, "MicroF1": 0.738371881260244, "MacroF1": 0.7164257197178175, "Memory in Mb": 35.22733116149902, "Time in s": 33213.34443999999 }, { "step": 28512, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7366279681526429, "MicroF1": 0.7366279681526429, "MacroF1": 0.7161250847684691, "Memory in Mb": 17.50509262084961, "Time in s": 35271.15690999999 }, { "step": 29568, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7354483038522678, "MicroF1": 0.7354483038522677, "MacroF1": 0.719616514898752, "Memory in Mb": 22.40646266937256, "Time in s": 37354.25785299999 }, { "step": 30624, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7348724814681775, "MicroF1": 0.7348724814681775, "MacroF1": 0.7237598149406717, "Memory in Mb": 31.22674369812012, "Time in s": 39459.62893099999 }, { "step": 31680, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7347769815966413, "MicroF1": 0.7347769815966413, "MacroF1": 0.7275990709197302, "Memory in Mb": 35.24118995666504, "Time in s": 41587.29474699999 }, { "step": 32736, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7351458683366427, "MicroF1": 0.7351458683366427, "MacroF1": 0.7308983066693725, "Memory in Mb": 48.40772724151611, "Time in s": 43729.93044799999 }, { "step": 33792, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7303423988636027, "MicroF1": 0.7303423988636027, "MacroF1": 0.7274356410957497, "Memory in Mb": 77.28174114227295, "Time in s": 45887.55412199999 }, { "step": 34848, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.726805750853732, "MicroF1": 0.726805750853732, "MacroF1": 0.723911701718825, "Memory in Mb": 53.16175174713135, "Time in s": 48068.300588999984 }, { "step": 35904, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7248976408656658, "MicroF1": 0.7248976408656659, "MacroF1": 0.7218080521646734, "Memory in Mb": 41.53026580810547, "Time in s": 50265.61973699999 }, { "step": 36960, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7215833761735978, "MicroF1": 0.7215833761735979, "MacroF1": 0.7182506744185386, "Memory in Mb": 35.33352756500244, "Time in s": 52485.18591199999 }, { "step": 38016, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7196369854004998, "MicroF1": 0.7196369854004999, "MacroF1": 0.7160236415660819, "Memory in Mb": 44.00273513793945, "Time in s": 54721.05808499999 }, { "step": 39072, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7175142688950884, "MicroF1": 0.7175142688950884, "MacroF1": 0.713988650041017, "Memory in Mb": 46.12203025817871, "Time in s": 56978.30571199999 }, { "step": 40128, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7158023276098388, "MicroF1": 0.7158023276098388, "MacroF1": 0.7126852582249207, "Memory in Mb": 27.841010093688965, "Time in s": 59249.54765999999 }, { "step": 41184, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7157322196051769, "MicroF1": 0.715732219605177, "MacroF1": 0.7129296468122535, "Memory in Mb": 21.849401473999023, "Time in s": 61534.70422899999 }, { "step": 42240, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7156656170837378, "MicroF1": 0.7156656170837377, "MacroF1": 0.7131576552849198, "Memory in Mb": 28.021278381347656, "Time in s": 63833.59664899999 }, { "step": 43296, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.715925626515764, "MicroF1": 0.715925626515764, "MacroF1": 0.7137513847694824, "Memory in Mb": 36.50454139709473, "Time in s": 66146.66403399999 }, { "step": 44352, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7161958016730176, "MicroF1": 0.7161958016730177, "MacroF1": 0.7143198962298327, "Memory in Mb": 46.888444900512695, "Time in s": 68474.34057599999 }, { "step": 45408, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7170260092056291, "MicroF1": 0.7170260092056291, "MacroF1": 0.7151715877390813, "Memory in Mb": 47.08374786376953, "Time in s": 70816.527322 }, { "step": 46464, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7181843617502098, "MicroF1": 0.7181843617502098, "MacroF1": 0.7162864260409335, "Memory in Mb": 43.18325901031494, "Time in s": 73172.526917 }, { "step": 47520, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7179023127591069, "MicroF1": 0.7179023127591069, "MacroF1": 0.716246618663062, "Memory in Mb": 54.80090522766113, "Time in s": 75543.857611 }, { "step": 48576, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7211528564076171, "MicroF1": 0.7211528564076171, "MacroF1": 0.719707905487922, "Memory in Mb": 60.4919376373291, "Time in s": 77931.086228 }, { "step": 49632, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7250710241582882, "MicroF1": 0.7250710241582882, "MacroF1": 0.7236001513027165, "Memory in Mb": 35.55128765106201, "Time in s": 80332.853368 }, { "step": 50688, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7288259316984631, "MicroF1": 0.7288259316984631, "MacroF1": 0.7271241427068512, "Memory in Mb": 21.017152786254883, "Time in s": 82746.274567 }, { "step": 51744, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7329107318864387, "MicroF1": 0.7329107318864386, "MacroF1": 0.7308784460773333, "Memory in Mb": 26.768343925476078, "Time in s": 85169.877802 }, { "step": 52800, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7359230288452433, "MicroF1": 0.7359230288452432, "MacroF1": 0.7343606492383059, "Memory in Mb": 9.57052230834961, "Time in s": 87600.592492 }, { "step": 52848, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Insects", "Accuracy": 0.7361628853104244, "MicroF1": 0.7361628853104244, "MacroF1": 0.7346220154259927, "Memory in Mb": 9.63199520111084, "Time in s": 90031.55993999999 }, { "step": 408, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9901719901719902, "MicroF1": 0.9901719901719902, "MacroF1": 0.8308395677472984, "Memory in Mb": 1.027322769165039, "Time in s": 17.348128 }, { "step": 816, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9877300613496932, "MicroF1": 0.9877300613496932, "MacroF1": 0.9320293882508496, "Memory in Mb": 2.6651391983032227, "Time in s": 54.406226 }, { "step": 1224, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.982829108748978, "MicroF1": 0.982829108748978, "MacroF1": 0.9464059415055076, "Memory in Mb": 5.679329872131348, "Time in s": 114.007104 }, { "step": 1632, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9828326180257512, "MicroF1": 0.9828326180257512, "MacroF1": 0.963209755030524, "Memory in Mb": 8.335807800292969, "Time in s": 201.582874 }, { "step": 2040, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.974987739087788, "MicroF1": 0.974987739087788, "MacroF1": 0.9373958892668122, "Memory in Mb": 12.631415367126465, "Time in s": 318.920922 }, { "step": 2448, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.970167552104618, "MicroF1": 0.970167552104618, "MacroF1": 0.957381800109682, "Memory in Mb": 16.891732215881348, "Time in s": 465.74626 }, { "step": 2856, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9660245183887916, "MicroF1": 0.9660245183887916, "MacroF1": 0.93947544504001, "Memory in Mb": 22.937668800354004, "Time in s": 641.328845 }, { "step": 3264, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9616916947594238, "MicroF1": 0.9616916947594238, "MacroF1": 0.9454054748805116, "Memory in Mb": 29.12161636352539, "Time in s": 847.207258 }, { "step": 3672, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9607736311631708, "MicroF1": 0.9607736311631708, "MacroF1": 0.953605417859829, "Memory in Mb": 28.669262886047363, "Time in s": 1081.626023 }, { "step": 4080, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9578328021573916, "MicroF1": 0.9578328021573916, "MacroF1": 0.9463612240153172, "Memory in Mb": 34.20732402801514, "Time in s": 1345.493591 }, { "step": 4488, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9589926454201024, "MicroF1": 0.9589926454201024, "MacroF1": 0.9613092683363472, "Memory in Mb": 18.652557373046875, "Time in s": 1636.499529 }, { "step": 4896, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.960776302349336, "MicroF1": 0.960776302349336, "MacroF1": 0.9605208703626084, "Memory in Mb": 20.81053066253662, "Time in s": 1952.783692 }, { "step": 5304, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9615312087497644, "MicroF1": 0.9615312087497644, "MacroF1": 0.960303314983038, "Memory in Mb": 27.91543483734131, "Time in s": 2294.145458 }, { "step": 5712, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9616529504465068, "MicroF1": 0.9616529504465068, "MacroF1": 0.9605387671994152, "Memory in Mb": 32.60424041748047, "Time in s": 2660.691575 }, { "step": 6120, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9597973525085798, "MicroF1": 0.9597973525085798, "MacroF1": 0.9561203427932812, "Memory in Mb": 39.11091995239258, "Time in s": 3053.193204 }, { "step": 6528, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9589397885705532, "MicroF1": 0.9589397885705532, "MacroF1": 0.9571591040678328, "Memory in Mb": 29.255366325378414, "Time in s": 3470.643733 }, { "step": 6936, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.959913482335977, "MicroF1": 0.959913482335977, "MacroF1": 0.9605956598361812, "Memory in Mb": 31.930577278137207, "Time in s": 3910.602191 }, { "step": 7344, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9602342366880022, "MicroF1": 0.9602342366880022, "MacroF1": 0.95986198823556, "Memory in Mb": 26.562703132629395, "Time in s": 4374.151898 }, { "step": 7752, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9601341762353244, "MicroF1": 0.9601341762353244, "MacroF1": 0.959651045460586, "Memory in Mb": 31.588034629821777, "Time in s": 4858.190889 }, { "step": 8160, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9584507905380562, "MicroF1": 0.9584507905380562, "MacroF1": 0.9567204261955368, "Memory in Mb": 39.12565612792969, "Time in s": 5363.543193 }, { "step": 8568, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9579782887825375, "MicroF1": 0.9579782887825375, "MacroF1": 0.957794146577291, "Memory in Mb": 44.816758155822754, "Time in s": 5892.06228 }, { "step": 8976, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9579944289693594, "MicroF1": 0.9579944289693594, "MacroF1": 0.9581242571113368, "Memory in Mb": 49.5586576461792, "Time in s": 6445.036349 }, { "step": 9384, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9570499840136416, "MicroF1": 0.9570499840136416, "MacroF1": 0.9565283447410108, "Memory in Mb": 50.18536758422852, "Time in s": 7025.065903 }, { "step": 9792, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9563885200694516, "MicroF1": 0.9563885200694516, "MacroF1": 0.9560487952418978, "Memory in Mb": 54.40623474121094, "Time in s": 7630.795018999999 }, { "step": 10200, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9532307088930289, "MicroF1": 0.9532307088930289, "MacroF1": 0.9512518567217172, "Memory in Mb": 66.82855319976807, "Time in s": 8267.200675 }, { "step": 10608, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9519185443574998, "MicroF1": 0.9519185443574998, "MacroF1": 0.9512557409849248, "Memory in Mb": 41.17615795135498, "Time in s": 8934.408603 }, { "step": 11016, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9528824330458464, "MicroF1": 0.9528824330458464, "MacroF1": 0.953398407731189, "Memory in Mb": 32.87209510803223, "Time in s": 9625.903537 }, { "step": 11424, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.953689923837871, "MicroF1": 0.953689923837871, "MacroF1": 0.9540175301991308, "Memory in Mb": 28.078542709350582, "Time in s": 10339.782646 }, { "step": 11832, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9542726734849124, "MicroF1": 0.9542726734849124, "MacroF1": 0.9545119777330118, "Memory in Mb": 20.280012130737305, "Time in s": 11070.86282 }, { "step": 12240, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.955470218155078, "MicroF1": 0.955470218155078, "MacroF1": 0.9559406438939212, "Memory in Mb": 21.54300308227539, "Time in s": 11820.445116 }, { "step": 12648, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9559579346880684, "MicroF1": 0.9559579346880684, "MacroF1": 0.9561632451269844, "Memory in Mb": 26.89114284515381, "Time in s": 12588.394717 }, { "step": 13056, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9558789735733436, "MicroF1": 0.9558789735733436, "MacroF1": 0.9559075747932771, "Memory in Mb": 21.382742881774902, "Time in s": 13375.587705000002 }, { "step": 13464, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9563247418851668, "MicroF1": 0.9563247418851668, "MacroF1": 0.9565051554876024, "Memory in Mb": 21.864919662475582, "Time in s": 14180.68998 }, { "step": 13872, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.956960565207988, "MicroF1": 0.956960565207988, "MacroF1": 0.9571856017401092, "Memory in Mb": 25.72835636138916, "Time in s": 15004.794290000002 }, { "step": 14280, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9566496253239022, "MicroF1": 0.9566496253239022, "MacroF1": 0.9566382966080724, "Memory in Mb": 21.764866828918457, "Time in s": 15848.339318000002 }, { "step": 14688, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.957241097569279, "MicroF1": 0.9572410975692792, "MacroF1": 0.957426459656079, "Memory in Mb": 25.14582061767578, "Time in s": 16708.048820000004 }, { "step": 15096, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9580655846306724, "MicroF1": 0.9580655846306724, "MacroF1": 0.958277362015896, "Memory in Mb": 26.658535957336422, "Time in s": 17588.164126000003 }, { "step": 15504, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9584596529703928, "MicroF1": 0.9584596529703928, "MacroF1": 0.9585840009788792, "Memory in Mb": 30.76789283752441, "Time in s": 18489.703328000003 }, { "step": 15912, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.958079316196342, "MicroF1": 0.958079316196342, "MacroF1": 0.9580713134265896, "Memory in Mb": 27.786094665527344, "Time in s": 19412.324967000004 }, { "step": 16320, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.958514614866107, "MicroF1": 0.958514614866107, "MacroF1": 0.9586173296332884, "Memory in Mb": 25.79348850250244, "Time in s": 20355.979039000005 }, { "step": 16728, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9577330065164106, "MicroF1": 0.9577330065164106, "MacroF1": 0.9576699214368118, "Memory in Mb": 33.630208015441895, "Time in s": 21321.132478000007 }, { "step": 17136, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9576305806828128, "MicroF1": 0.9576305806828128, "MacroF1": 0.9576693803774444, "Memory in Mb": 33.920249938964844, "Time in s": 22315.653729000005 }, { "step": 17544, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.956506868836573, "MicroF1": 0.956506868836573, "MacroF1": 0.9564470129227676, "Memory in Mb": 31.50515556335449, "Time in s": 23335.132930000003 }, { "step": 17952, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9563812600969306, "MicroF1": 0.9563812600969306, "MacroF1": 0.9564135249623557, "Memory in Mb": 19.79563045501709, "Time in s": 24372.247222 }, { "step": 18360, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9569148646440436, "MicroF1": 0.9569148646440436, "MacroF1": 0.9569804233582648, "Memory in Mb": 23.70892333984375, "Time in s": 25428.663478 }, { "step": 18768, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9574252677572336, "MicroF1": 0.9574252677572336, "MacroF1": 0.957475477736454, "Memory in Mb": 21.893744468688965, "Time in s": 26504.246634000003 }, { "step": 19176, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9568187744458932, "MicroF1": 0.9568187744458932, "MacroF1": 0.956806677474395, "Memory in Mb": 28.04871368408203, "Time in s": 27598.635240000003 }, { "step": 19584, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9567992646683348, "MicroF1": 0.9567992646683348, "MacroF1": 0.9568012672257532, "Memory in Mb": 32.11082458496094, "Time in s": 28712.463090000005 }, { "step": 19992, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9565304386974138, "MicroF1": 0.9565304386974138, "MacroF1": 0.9565268274864178, "Memory in Mb": 40.13526153564453, "Time in s": 29849.822929000005 }, { "step": 20400, "track": "Multiclass classification", "model": "Streaming Random Patches", "dataset": "Keystroke", "Accuracy": 0.9559292122162852, "MicroF1": 0.9559292122162852, "MacroF1": 0.9559196349550496, "Memory in Mb": 39.63601016998291, "Time in s": 31009.846621000004 }, { "step": 46, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.5111111111111111, "MicroF1": 0.5111111111111111, "MacroF1": 0.4093857832988268, "Memory in Mb": 0.0911636352539062, "Time in s": 0.155273 }, { "step": 92, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.6043956043956044, "MicroF1": 0.6043956043956044, "MacroF1": 0.5940974230447915, "Memory in Mb": 0.16827392578125, "Time in s": 0.72683 }, { "step": 138, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.6715328467153284, "MicroF1": 0.6715328467153284, "MacroF1": 0.6806196928151186, "Memory in Mb": 0.245431900024414, "Time in s": 1.742293 }, { "step": 184, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7049180327868853, "MicroF1": 0.7049180327868853, "MacroF1": 0.7184732466987995, "Memory in Mb": 0.3220462799072265, "Time in s": 3.340711 }, { "step": 230, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.74235807860262, "MicroF1": 0.74235807860262, "MacroF1": 0.7523809662907407, "Memory in Mb": 0.3991765975952148, "Time in s": 5.610709 }, { "step": 276, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7490909090909091, "MicroF1": 0.7490909090909091, "MacroF1": 0.7611097615339608, "Memory in Mb": 0.4767560958862304, "Time in s": 8.7745 }, { "step": 322, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7663551401869159, "MicroF1": 0.766355140186916, "MacroF1": 0.7725898650917747, "Memory in Mb": 0.5538606643676758, "Time in s": 12.918764 }, { "step": 368, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.784741144414169, "MicroF1": 0.7847411444141691, "MacroF1": 0.7844949397573193, "Memory in Mb": 0.6304874420166016, "Time in s": 18.189003 }, { "step": 414, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7990314769975787, "MicroF1": 0.7990314769975787, "MacroF1": 0.7976353129150817, "Memory in Mb": 0.7076187133789062, "Time in s": 24.731741 }, { "step": 460, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7952069716775599, "MicroF1": 0.7952069716775599, "MacroF1": 0.7930763833747545, "Memory in Mb": 0.7847471237182617, "Time in s": 32.681045 }, { "step": 506, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.7960396039603961, "MicroF1": 0.7960396039603961, "MacroF1": 0.7941234022368324, "Memory in Mb": 3.003793716430664, "Time in s": 61.21191 }, { "step": 552, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8021778584392014, "MicroF1": 0.8021778584392014, "MacroF1": 0.8007250644998717, "Memory in Mb": 3.2264842987060547, "Time in s": 91.162029 }, { "step": 598, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8090452261306532, "MicroF1": 0.8090452261306531, "MacroF1": 0.8095532779239047, "Memory in Mb": 3.4499826431274414, "Time in s": 122.67972799999998 }, { "step": 644, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8164852255054432, "MicroF1": 0.8164852255054433, "MacroF1": 0.8176018556357175, "Memory in Mb": 3.6760778427124015, "Time in s": 155.77468699999997 }, { "step": 690, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8214804063860668, "MicroF1": 0.8214804063860668, "MacroF1": 0.8221151176242331, "Memory in Mb": 3.8941650390625, "Time in s": 190.537277 }, { "step": 736, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8272108843537415, "MicroF1": 0.8272108843537415, "MacroF1": 0.8281233770721121, "Memory in Mb": 4.128121376037598, "Time in s": 227.085503 }, { "step": 782, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8361075544174136, "MicroF1": 0.8361075544174136, "MacroF1": 0.8364659566156888, "Memory in Mb": 4.367749214172363, "Time in s": 265.419762 }, { "step": 828, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8403869407496977, "MicroF1": 0.8403869407496977, "MacroF1": 0.8412749002251585, "Memory in Mb": 4.601743698120117, "Time in s": 305.543518 }, { "step": 874, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.845360824742268, "MicroF1": 0.845360824742268, "MacroF1": 0.8465057584066101, "Memory in Mb": 4.840575218200684, "Time in s": 347.501906 }, { "step": 920, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8487486398258978, "MicroF1": 0.8487486398258978, "MacroF1": 0.8489576083149123, "Memory in Mb": 5.074535369873047, "Time in s": 391.430234 }, { "step": 966, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8538860103626943, "MicroF1": 0.8538860103626943, "MacroF1": 0.8530581393966605, "Memory in Mb": 5.3079938888549805, "Time in s": 437.316456 }, { "step": 1012, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8585558852621167, "MicroF1": 0.8585558852621167, "MacroF1": 0.8570252804249208, "Memory in Mb": 5.479596138000488, "Time in s": 485.23685 }, { "step": 1058, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8628192999053926, "MicroF1": 0.8628192999053927, "MacroF1": 0.8611045332429007, "Memory in Mb": 5.435150146484375, "Time in s": 535.278485 }, { "step": 1104, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8631006346328196, "MicroF1": 0.8631006346328196, "MacroF1": 0.8616288881212748, "Memory in Mb": 5.355225563049316, "Time in s": 587.436372 }, { "step": 1150, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8668407310704961, "MicroF1": 0.8668407310704961, "MacroF1": 0.8650902600877293, "Memory in Mb": 5.281754493713379, "Time in s": 641.538536 }, { "step": 1196, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8719665271966527, "MicroF1": 0.8719665271966527, "MacroF1": 0.8702683106604537, "Memory in Mb": 5.235520362854004, "Time in s": 697.554251 }, { "step": 1242, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8759065269943593, "MicroF1": 0.8759065269943593, "MacroF1": 0.8740479640614998, "Memory in Mb": 5.142333984375, "Time in s": 755.471933 }, { "step": 1288, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8787878787878788, "MicroF1": 0.8787878787878788, "MacroF1": 0.8772603222806128, "Memory in Mb": 5.092559814453125, "Time in s": 815.138635 }, { "step": 1334, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8777194298574643, "MicroF1": 0.8777194298574643, "MacroF1": 0.8760741143565023, "Memory in Mb": 5.055940628051758, "Time in s": 876.491339 }, { "step": 1380, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8796229151559101, "MicroF1": 0.8796229151559101, "MacroF1": 0.8783130803325612, "Memory in Mb": 4.964084625244141, "Time in s": 939.483975 }, { "step": 1426, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8785964912280702, "MicroF1": 0.8785964912280702, "MacroF1": 0.8768931648451159, "Memory in Mb": 4.951287269592285, "Time in s": 1004.010152 }, { "step": 1472, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8769544527532291, "MicroF1": 0.8769544527532291, "MacroF1": 0.8748964905672628, "Memory in Mb": 4.969002723693848, "Time in s": 1070.168576 }, { "step": 1518, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8727752142386289, "MicroF1": 0.8727752142386289, "MacroF1": 0.8705110235515202, "Memory in Mb": 5.101251602172852, "Time in s": 1138.304608 }, { "step": 1564, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8688419705694178, "MicroF1": 0.8688419705694178, "MacroF1": 0.8667015278861958, "Memory in Mb": 5.262187957763672, "Time in s": 1208.4659419999998 }, { "step": 1610, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8651336233685519, "MicroF1": 0.8651336233685519, "MacroF1": 0.8631350462642483, "Memory in Mb": 5.320252418518066, "Time in s": 1280.5305069999995 }, { "step": 1656, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8640483383685801, "MicroF1": 0.8640483383685801, "MacroF1": 0.8620479268968886, "Memory in Mb": 5.35189151763916, "Time in s": 1354.3819709999998 }, { "step": 1702, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8647854203409759, "MicroF1": 0.8647854203409759, "MacroF1": 0.8635043959538364, "Memory in Mb": 5.359102249145508, "Time in s": 1430.0286029999995 }, { "step": 1748, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.866056096164854, "MicroF1": 0.866056096164854, "MacroF1": 0.864439618601765, "Memory in Mb": 5.402237892150879, "Time in s": 1507.5136589999995 }, { "step": 1794, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8683770217512549, "MicroF1": 0.8683770217512549, "MacroF1": 0.8664209902402824, "Memory in Mb": 5.3993330001831055, "Time in s": 1586.7199259999998 }, { "step": 1840, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8694942903752039, "MicroF1": 0.8694942903752039, "MacroF1": 0.867597342266498, "Memory in Mb": 5.4049272537231445, "Time in s": 1667.658732 }, { "step": 1886, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8710875331564987, "MicroF1": 0.8710875331564986, "MacroF1": 0.8694766742923737, "Memory in Mb": 5.4121294021606445, "Time in s": 1750.3169159999998 }, { "step": 1932, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8705334023821854, "MicroF1": 0.8705334023821854, "MacroF1": 0.8686918451193435, "Memory in Mb": 5.405803680419922, "Time in s": 1834.60998 }, { "step": 1978, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8715225088517956, "MicroF1": 0.8715225088517956, "MacroF1": 0.8698703895904014, "Memory in Mb": 5.395906448364258, "Time in s": 1920.517128 }, { "step": 2024, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8729609490855166, "MicroF1": 0.8729609490855166, "MacroF1": 0.870902914954928, "Memory in Mb": 5.386837959289551, "Time in s": 2008.106455 }, { "step": 2070, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8733687771870469, "MicroF1": 0.8733687771870469, "MacroF1": 0.8714525187304558, "Memory in Mb": 5.375288963317871, "Time in s": 2097.403794 }, { "step": 2116, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.875177304964539, "MicroF1": 0.875177304964539, "MacroF1": 0.8730645404016979, "Memory in Mb": 5.353263854980469, "Time in s": 2188.326937 }, { "step": 2162, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8745950948634891, "MicroF1": 0.8745950948634891, "MacroF1": 0.872417325547954, "Memory in Mb": 5.322790145874023, "Time in s": 2280.882375 }, { "step": 2208, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8753964657906661, "MicroF1": 0.8753964657906661, "MacroF1": 0.8732500176589647, "Memory in Mb": 5.30323600769043, "Time in s": 2374.975797 }, { "step": 2254, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8748335552596538, "MicroF1": 0.8748335552596538, "MacroF1": 0.8732733602208504, "Memory in Mb": 5.278659820556641, "Time in s": 2470.732765 }, { "step": 2300, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8742931709438887, "MicroF1": 0.8742931709438887, "MacroF1": 0.8727466012343671, "Memory in Mb": 5.262259483337402, "Time in s": 2568.119206 }, { "step": 2310, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "ImageSegments", "Accuracy": 0.8735383282806409, "MicroF1": 0.8735383282806409, "MacroF1": 0.8721361121313428, "Memory in Mb": 5.268708229064941, "Time in s": 2666.293295 }, { "step": 1056, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6597156398104266, "MicroF1": 0.6597156398104266, "MacroF1": 0.5853273709738578, "Memory in Mb": 6.371035575866699, "Time in s": 65.756564 }, { "step": 2112, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6807200378967314, "MicroF1": 0.6807200378967314, "MacroF1": 0.5992086579995298, "Memory in Mb": 6.278300285339356, "Time in s": 182.184591 }, { "step": 3168, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6842437638143354, "MicroF1": 0.6842437638143354, "MacroF1": 0.6001715208792017, "Memory in Mb": 6.298460006713867, "Time in s": 341.998975 }, { "step": 4224, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6848212171442103, "MicroF1": 0.6848212171442103, "MacroF1": 0.6051604277089342, "Memory in Mb": 6.265153884887695, "Time in s": 541.5068689999999 }, { "step": 5280, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6872513733661678, "MicroF1": 0.6872513733661678, "MacroF1": 0.611100448555976, "Memory in Mb": 6.2555742263793945, "Time in s": 777.52113 }, { "step": 6336, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6842936069455406, "MicroF1": 0.6842936069455406, "MacroF1": 0.6118525331169307, "Memory in Mb": 6.314010620117188, "Time in s": 1048.588472 }, { "step": 7392, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6852929238262752, "MicroF1": 0.6852929238262752, "MacroF1": 0.6157762907660722, "Memory in Mb": 6.288516998291016, "Time in s": 1352.458798 }, { "step": 8448, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6828459808215934, "MicroF1": 0.6828459808215934, "MacroF1": 0.6148503710479976, "Memory in Mb": 6.31680965423584, "Time in s": 1687.096094 }, { "step": 9504, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6851520572450805, "MicroF1": 0.6851520572450805, "MacroF1": 0.6155258331015067, "Memory in Mb": 6.223039627075195, "Time in s": 2051.649807 }, { "step": 10560, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6861445212614831, "MicroF1": 0.6861445212614831, "MacroF1": 0.6169474950376627, "Memory in Mb": 6.253497123718262, "Time in s": 2444.130945 }, { "step": 11616, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6873009040034438, "MicroF1": 0.6873009040034438, "MacroF1": 0.6200568175672779, "Memory in Mb": 6.251482009887695, "Time in s": 2863.128904 }, { "step": 12672, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6866072133217583, "MicroF1": 0.6866072133217583, "MacroF1": 0.623883491026523, "Memory in Mb": 6.276742935180664, "Time in s": 3309.082968 }, { "step": 13728, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7020470605376266, "MicroF1": 0.7020470605376266, "MacroF1": 0.6991473808978487, "Memory in Mb": 6.26933479309082, "Time in s": 3781.277509 }, { "step": 14784, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7077724413177299, "MicroF1": 0.7077724413177299, "MacroF1": 0.7078402863830927, "Memory in Mb": 6.244691848754883, "Time in s": 4278.402760999999 }, { "step": 15840, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7016857124818486, "MicroF1": 0.7016857124818486, "MacroF1": 0.704840832390747, "Memory in Mb": 6.350223541259766, "Time in s": 4805.403565999999 }, { "step": 16896, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6992009470257473, "MicroF1": 0.6992009470257473, "MacroF1": 0.7048178275842342, "Memory in Mb": 6.243149757385254, "Time in s": 5357.683726999999 }, { "step": 17952, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6922734109520361, "MicroF1": 0.6922734109520361, "MacroF1": 0.6995766929659905, "Memory in Mb": 6.218992233276367, "Time in s": 5935.240105999998 }, { "step": 19008, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6974272636397116, "MicroF1": 0.6974272636397116, "MacroF1": 0.7006862112488368, "Memory in Mb": 6.24652099609375, "Time in s": 6538.276384999998 }, { "step": 20064, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.699845486716842, "MicroF1": 0.699845486716842, "MacroF1": 0.6985118222305657, "Memory in Mb": 6.205791473388672, "Time in s": 7167.459726999999 }, { "step": 21120, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7016904209479615, "MicroF1": 0.7016904209479615, "MacroF1": 0.6971610909052677, "Memory in Mb": 6.218420028686523, "Time in s": 7825.840650999999 }, { "step": 22176, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7039909808342728, "MicroF1": 0.7039909808342728, "MacroF1": 0.6964197759629052, "Memory in Mb": 6.236072540283203, "Time in s": 8511.079801999998 }, { "step": 23232, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7076320433902974, "MicroF1": 0.7076320433902974, "MacroF1": 0.697368621848442, "Memory in Mb": 6.279313087463379, "Time in s": 9222.986801999998 }, { "step": 24288, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7098447729237863, "MicroF1": 0.7098447729237863, "MacroF1": 0.6967477548491564, "Memory in Mb": 6.2948198318481445, "Time in s": 9960.927248999997 }, { "step": 25344, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7127017322337529, "MicroF1": 0.712701732233753, "MacroF1": 0.6972185032799825, "Memory in Mb": 6.224791526794434, "Time in s": 10724.419586999997 }, { "step": 26400, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7145346414636918, "MicroF1": 0.7145346414636918, "MacroF1": 0.6967850611237018, "Memory in Mb": 6.263523101806641, "Time in s": 11512.986172999998 }, { "step": 27456, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7156437807321071, "MicroF1": 0.7156437807321071, "MacroF1": 0.6955595874776194, "Memory in Mb": 6.272575378417969, "Time in s": 12326.628602999996 }, { "step": 28512, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7130931921012942, "MicroF1": 0.7130931921012942, "MacroF1": 0.6943090782068162, "Memory in Mb": 6.22489070892334, "Time in s": 13165.433758999998 }, { "step": 29568, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7117732607298678, "MicroF1": 0.7117732607298677, "MacroF1": 0.6978751959025926, "Memory in Mb": 6.217726707458496, "Time in s": 14028.837757999998 }, { "step": 30624, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7122097769650263, "MicroF1": 0.7122097769650264, "MacroF1": 0.7026862643890369, "Memory in Mb": 6.243690490722656, "Time in s": 14916.319239 }, { "step": 31680, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7113545250797058, "MicroF1": 0.7113545250797058, "MacroF1": 0.7052714328980031, "Memory in Mb": 6.277059555053711, "Time in s": 15827.904481999998 }, { "step": 32736, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7111959676187567, "MicroF1": 0.7111959676187566, "MacroF1": 0.7078689284492299, "Memory in Mb": 6.295280456542969, "Time in s": 16762.400180999997 }, { "step": 33792, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7067562368678051, "MicroF1": 0.7067562368678051, "MacroF1": 0.704703743720216, "Memory in Mb": 6.183221817016602, "Time in s": 17721.950532 }, { "step": 34848, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7030734353028956, "MicroF1": 0.7030734353028956, "MacroF1": 0.7010614031639846, "Memory in Mb": 6.343389511108398, "Time in s": 18710.094933 }, { "step": 35904, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6998022449377489, "MicroF1": 0.6998022449377489, "MacroF1": 0.6976694331042329, "Memory in Mb": 6.273009300231934, "Time in s": 19725.980479 }, { "step": 36960, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6967179847939609, "MicroF1": 0.6967179847939609, "MacroF1": 0.6945045780432343, "Memory in Mb": 6.264690399169922, "Time in s": 20767.047301 }, { "step": 38016, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6941470472182033, "MicroF1": 0.6941470472182033, "MacroF1": 0.6917813776610243, "Memory in Mb": 6.265054702758789, "Time in s": 21835.556239 }, { "step": 39072, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.691996621535154, "MicroF1": 0.691996621535154, "MacroF1": 0.6898060776768534, "Memory in Mb": 6.200959205627441, "Time in s": 22932.108791 }, { "step": 40128, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6904328756199068, "MicroF1": 0.6904328756199068, "MacroF1": 0.6882031611963276, "Memory in Mb": 6.413609504699707, "Time in s": 24054.967875 }, { "step": 41184, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6916446106403128, "MicroF1": 0.6916446106403128, "MacroF1": 0.6892941373261507, "Memory in Mb": 6.310104370117188, "Time in s": 25204.026441 }, { "step": 42240, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.692535334643339, "MicroF1": 0.692535334643339, "MacroF1": 0.6900712004452627, "Memory in Mb": 6.22797966003418, "Time in s": 26378.286294 }, { "step": 43296, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6935904838895947, "MicroF1": 0.6935904838895947, "MacroF1": 0.6909354899104013, "Memory in Mb": 6.220904350280762, "Time in s": 27574.213319 }, { "step": 44352, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6941895334941715, "MicroF1": 0.6941895334941715, "MacroF1": 0.691322114366645, "Memory in Mb": 6.22946834564209, "Time in s": 28791.926615000004 }, { "step": 45408, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6950690422181602, "MicroF1": 0.6950690422181602, "MacroF1": 0.6917362410920441, "Memory in Mb": 6.2850341796875, "Time in s": 30030.670852000003 }, { "step": 46464, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6964466349568473, "MicroF1": 0.6964466349568473, "MacroF1": 0.6926338572817136, "Memory in Mb": 6.233500480651856, "Time in s": 31290.345387 }, { "step": 47520, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.6963530377322755, "MicroF1": 0.6963530377322755, "MacroF1": 0.6929015597977773, "Memory in Mb": 6.243911743164063, "Time in s": 32571.46119 }, { "step": 48576, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7006073082861555, "MicroF1": 0.7006073082861555, "MacroF1": 0.697843135408715, "Memory in Mb": 6.247167587280273, "Time in s": 33874.398319 }, { "step": 49632, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7046805424029337, "MicroF1": 0.7046805424029337, "MacroF1": 0.7023003034160373, "Memory in Mb": 6.246943473815918, "Time in s": 35198.416197 }, { "step": 50688, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7083867658373942, "MicroF1": 0.7083867658373942, "MacroF1": 0.7061355873839065, "Memory in Mb": 6.210485458374023, "Time in s": 36536.506394 }, { "step": 51744, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7126567844925884, "MicroF1": 0.7126567844925883, "MacroF1": 0.7104085577951368, "Memory in Mb": 6.270394325256348, "Time in s": 37890.628371 }, { "step": 52800, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7128544101214038, "MicroF1": 0.7128544101214038, "MacroF1": 0.7110869129037599, "Memory in Mb": 6.247260093688965, "Time in s": 39264.666928 }, { "step": 52848, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Insects", "Accuracy": 0.7131152194069673, "MicroF1": 0.7131152194069672, "MacroF1": 0.7113808258412672, "Memory in Mb": 6.272693634033203, "Time in s": 40639.937472 }, { "step": 408, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9803439803439804, "MicroF1": 0.9803439803439804, "MacroF1": 0.4950372208436724, "Memory in Mb": 1.0294876098632812, "Time in s": 8.610537 }, { "step": 816, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9251533742331288, "MicroF1": 0.9251533742331288, "MacroF1": 0.8588670451436246, "Memory in Mb": 5.3865966796875, "Time in s": 60.879099 }, { "step": 1224, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9247751430907604, "MicroF1": 0.9247751430907604, "MacroF1": 0.888226412135106, "Memory in Mb": 6.246823310852051, "Time in s": 137.71097600000002 }, { "step": 1632, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.927038626609442, "MicroF1": 0.927038626609442, "MacroF1": 0.893336805209695, "Memory in Mb": 6.212030410766602, "Time in s": 236.990146 }, { "step": 2040, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9298675821481118, "MicroF1": 0.9298675821481118, "MacroF1": 0.911424130088645, "Memory in Mb": 6.329436302185059, "Time in s": 359.011082 }, { "step": 2448, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9239885574172456, "MicroF1": 0.9239885574172456, "MacroF1": 0.912155547295492, "Memory in Mb": 6.208271026611328, "Time in s": 503.2068 }, { "step": 2856, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9169877408056042, "MicroF1": 0.9169877408056042, "MacroF1": 0.8816257260944811, "Memory in Mb": 6.284844398498535, "Time in s": 667.387655 }, { "step": 3264, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.908979466748391, "MicroF1": 0.908979466748391, "MacroF1": 0.9011431783951356, "Memory in Mb": 6.232160568237305, "Time in s": 850.70223 }, { "step": 3672, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.913375102152002, "MicroF1": 0.913375102152002, "MacroF1": 0.9125908871445696, "Memory in Mb": 6.234919548034668, "Time in s": 1054.346916 }, { "step": 4080, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9141946555528316, "MicroF1": 0.9141946555528316, "MacroF1": 0.9054789816810688, "Memory in Mb": 6.308258056640625, "Time in s": 1277.35851 }, { "step": 4488, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9057276576777356, "MicroF1": 0.9057276576777356, "MacroF1": 0.9087691557812896, "Memory in Mb": 6.274983406066895, "Time in s": 1518.241674 }, { "step": 4896, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.908682328907048, "MicroF1": 0.908682328907048, "MacroF1": 0.9101970481905532, "Memory in Mb": 6.210176467895508, "Time in s": 1774.8436390000002 }, { "step": 5304, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9092966245521404, "MicroF1": 0.9092966245521404, "MacroF1": 0.9045962329696908, "Memory in Mb": 6.311163902282715, "Time in s": 2048.2991580000003 }, { "step": 5712, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9110488530905272, "MicroF1": 0.9110488530905272, "MacroF1": 0.9114244990736602, "Memory in Mb": 6.304790496826172, "Time in s": 2337.0378760000003 }, { "step": 6120, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9089720542572316, "MicroF1": 0.9089720542572316, "MacroF1": 0.9032533666541098, "Memory in Mb": 6.217576026916504, "Time in s": 2640.3521840000003 }, { "step": 6528, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.907767734027884, "MicroF1": 0.907767734027884, "MacroF1": 0.9071900335968284, "Memory in Mb": 6.258184432983398, "Time in s": 2958.617579 }, { "step": 6936, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9105984138428262, "MicroF1": 0.9105984138428262, "MacroF1": 0.9126270814361048, "Memory in Mb": 6.1720380783081055, "Time in s": 3289.9253120000003 }, { "step": 7344, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9120250578782514, "MicroF1": 0.9120250578782514, "MacroF1": 0.9125633522308232, "Memory in Mb": 6.2164154052734375, "Time in s": 3633.832057000001 }, { "step": 7752, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9133015094826474, "MicroF1": 0.9133015094826474, "MacroF1": 0.9136330015220732, "Memory in Mb": 6.260525703430176, "Time in s": 3992.050824 }, { "step": 8160, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9148179924010296, "MicroF1": 0.9148179924010296, "MacroF1": 0.9154195917586072, "Memory in Mb": 6.291139602661133, "Time in s": 4363.477247000001 }, { "step": 8568, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9166569394186996, "MicroF1": 0.9166569394186996, "MacroF1": 0.917708642296068, "Memory in Mb": 6.216147422790527, "Time in s": 4747.269196000001 }, { "step": 8976, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9179944289693592, "MicroF1": 0.9179944289693592, "MacroF1": 0.9193727618453186, "Memory in Mb": 6.204837799072266, "Time in s": 5142.613476000001 }, { "step": 9384, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9180432697431524, "MicroF1": 0.9180432697431524, "MacroF1": 0.9181590265081532, "Memory in Mb": 6.197464942932129, "Time in s": 5549.1165660000015 }, { "step": 9792, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9166581554488816, "MicroF1": 0.9166581554488816, "MacroF1": 0.9168210748678532, "Memory in Mb": 6.232473373413086, "Time in s": 5968.023607000002 }, { "step": 10200, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9154819099911756, "MicroF1": 0.9154819099911756, "MacroF1": 0.9145218669909496, "Memory in Mb": 6.197787284851074, "Time in s": 6399.011787000002 }, { "step": 10608, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9126048835674556, "MicroF1": 0.9126048835674556, "MacroF1": 0.9111025938131312, "Memory in Mb": 6.2185258865356445, "Time in s": 6842.990199000003 }, { "step": 11016, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9106672719019518, "MicroF1": 0.9106672719019518, "MacroF1": 0.911227786024665, "Memory in Mb": 6.261377334594727, "Time in s": 7300.041981000002 }, { "step": 11424, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.910356298695614, "MicroF1": 0.910356298695614, "MacroF1": 0.9101104800687124, "Memory in Mb": 6.227293968200684, "Time in s": 7769.979179000002 }, { "step": 11832, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9092215366410278, "MicroF1": 0.9092215366410278, "MacroF1": 0.909418612123662, "Memory in Mb": 6.287784576416016, "Time in s": 8252.975566000001 }, { "step": 12240, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9110221423318898, "MicroF1": 0.9110221423318898, "MacroF1": 0.9118339797691072, "Memory in Mb": 6.31197452545166, "Time in s": 8747.696417000001 }, { "step": 12648, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.912627500593026, "MicroF1": 0.912627500593026, "MacroF1": 0.9131272841889786, "Memory in Mb": 6.279851913452148, "Time in s": 9255.008595 }, { "step": 13056, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9129069322098812, "MicroF1": 0.9129069322098812, "MacroF1": 0.913006147591119, "Memory in Mb": 6.346117973327637, "Time in s": 9774.692327 }, { "step": 13464, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9136150932184506, "MicroF1": 0.9136150932184506, "MacroF1": 0.9138210444048112, "Memory in Mb": 6.238006591796875, "Time in s": 10306.725428000002 }, { "step": 13872, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9137769447047798, "MicroF1": 0.9137769447047795, "MacroF1": 0.913931693448659, "Memory in Mb": 6.288792610168457, "Time in s": 10851.686584 }, { "step": 14280, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.91217872400028, "MicroF1": 0.91217872400028, "MacroF1": 0.9118234284090696, "Memory in Mb": 6.252389907836914, "Time in s": 11409.551357 }, { "step": 14688, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9133247089262612, "MicroF1": 0.9133247089262612, "MacroF1": 0.9136581918124824, "Memory in Mb": 6.268362998962402, "Time in s": 11980.223294 }, { "step": 15096, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9134150380920836, "MicroF1": 0.9134150380920836, "MacroF1": 0.9134700562544148, "Memory in Mb": 6.304409027099609, "Time in s": 12563.090191 }, { "step": 15504, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9127910726956072, "MicroF1": 0.9127910726956072, "MacroF1": 0.9127632118282708, "Memory in Mb": 6.222077369689941, "Time in s": 13158.500652 }, { "step": 15912, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9127019043429074, "MicroF1": 0.9127019043429074, "MacroF1": 0.9127365496247324, "Memory in Mb": 6.263586044311523, "Time in s": 13766.752283999998 }, { "step": 16320, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9113303511244562, "MicroF1": 0.9113303511244562, "MacroF1": 0.9110956080213112, "Memory in Mb": 6.256609916687012, "Time in s": 14388.121762 }, { "step": 16728, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.910384408441442, "MicroF1": 0.910384408441442, "MacroF1": 0.910332436025812, "Memory in Mb": 6.208023071289063, "Time in s": 15023.088924 }, { "step": 17136, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9113510358914504, "MicroF1": 0.9113510358914504, "MacroF1": 0.9114963483082136, "Memory in Mb": 6.223179817199707, "Time in s": 15670.063673 }, { "step": 17544, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9113606566721768, "MicroF1": 0.9113606566721768, "MacroF1": 0.9113826667045092, "Memory in Mb": 6.23558235168457, "Time in s": 16331.265293 }, { "step": 17952, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9114255473232687, "MicroF1": 0.911425547323269, "MacroF1": 0.9114384409485988, "Memory in Mb": 6.255133628845215, "Time in s": 17006.553944 }, { "step": 18360, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9126858761370444, "MicroF1": 0.9126858761370444, "MacroF1": 0.9127656000580756, "Memory in Mb": 6.270404815673828, "Time in s": 17693.792261 }, { "step": 18768, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9125059945649278, "MicroF1": 0.9125059945649276, "MacroF1": 0.9124701420883568, "Memory in Mb": 6.180520057678223, "Time in s": 18393.849908 }, { "step": 19176, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.912594524119948, "MicroF1": 0.912594524119948, "MacroF1": 0.9125632790621416, "Memory in Mb": 6.265439987182617, "Time in s": 19106.227212 }, { "step": 19584, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.913547464637696, "MicroF1": 0.913547464637696, "MacroF1": 0.9135225066457016, "Memory in Mb": 6.303133964538574, "Time in s": 19831.701162 }, { "step": 19992, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9111099994997748, "MicroF1": 0.9111099994997748, "MacroF1": 0.910917465793804, "Memory in Mb": 6.225028991699219, "Time in s": 20571.760391 }, { "step": 20400, "track": "Multiclass classification", "model": "k-Nearest Neighbors", "dataset": "Keystroke", "Accuracy": 0.9104858081278494, "MicroF1": 0.9104858081278494, "MacroF1": 0.910327982122686, "Memory in Mb": 6.325108528137207, "Time in s": 21326.45228 }, { "step": 46, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.3111111111111111, "MicroF1": 0.3111111111111111, "MacroF1": 0.245764972655729, "Memory in Mb": 4.105147361755371, "Time in s": 2.153154 }, { "step": 92, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.4835164835164835, "MicroF1": 0.4835164835164835, "MacroF1": 0.4934752395581889, "Memory in Mb": 4.108363151550293, "Time in s": 6.907408 }, { "step": 138, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.5328467153284672, "MicroF1": 0.5328467153284672, "MacroF1": 0.5528821792646677, "Memory in Mb": 4.108027458190918, "Time in s": 14.639156 }, { "step": 184, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.5956284153005464, "MicroF1": 0.5956284153005464, "MacroF1": 0.614143164890895, "Memory in Mb": 4.108977317810059, "Time in s": 25.443956 }, { "step": 230, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.62882096069869, "MicroF1": 0.62882096069869, "MacroF1": 0.6441389332893815, "Memory in Mb": 3.881842613220215, "Time in s": 39.254234 }, { "step": 276, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.64, "MicroF1": 0.64, "MacroF1": 0.6559607038460422, "Memory in Mb": 3.996514320373535, "Time in s": 55.768073 }, { "step": 322, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.6697819314641744, "MicroF1": 0.6697819314641744, "MacroF1": 0.6706320385346652, "Memory in Mb": 4.112936019897461, "Time in s": 74.877199 }, { "step": 368, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.6948228882833788, "MicroF1": 0.6948228882833788, "MacroF1": 0.6897433526546475, "Memory in Mb": 4.112924575805664, "Time in s": 96.687005 }, { "step": 414, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.711864406779661, "MicroF1": 0.711864406779661, "MacroF1": 0.706570530482581, "Memory in Mb": 4.117301940917969, "Time in s": 121.290167 }, { "step": 460, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7145969498910676, "MicroF1": 0.7145969498910676, "MacroF1": 0.7071122267088654, "Memory in Mb": 4.116390228271484, "Time in s": 148.551711 }, { "step": 506, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7247524752475247, "MicroF1": 0.7247524752475247, "MacroF1": 0.7147973207987898, "Memory in Mb": 4.115703582763672, "Time in s": 178.365171 }, { "step": 552, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7295825771324864, "MicroF1": 0.7295825771324864, "MacroF1": 0.7210771168277493, "Memory in Mb": 4.115436553955078, "Time in s": 210.796119 }, { "step": 598, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7336683417085427, "MicroF1": 0.7336683417085426, "MacroF1": 0.7250288715672424, "Memory in Mb": 4.115207672119141, "Time in s": 245.953277 }, { "step": 644, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7325038880248833, "MicroF1": 0.7325038880248833, "MacroF1": 0.7258924883659029, "Memory in Mb": 4.118658065795898, "Time in s": 283.80303000000004 }, { "step": 690, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.737300435413643, "MicroF1": 0.737300435413643, "MacroF1": 0.7302536378735861, "Memory in Mb": 4.118425369262695, "Time in s": 324.296282 }, { "step": 736, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7387755102040816, "MicroF1": 0.7387755102040816, "MacroF1": 0.7329631379486719, "Memory in Mb": 4.118097305297852, "Time in s": 367.43284 }, { "step": 782, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7439180537772087, "MicroF1": 0.7439180537772088, "MacroF1": 0.7387105187530085, "Memory in Mb": 4.117616653442383, "Time in s": 413.28289 }, { "step": 828, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7460701330108828, "MicroF1": 0.7460701330108827, "MacroF1": 0.7425025596154723, "Memory in Mb": 4.117326736450195, "Time in s": 461.953497 }, { "step": 874, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7514318442153494, "MicroF1": 0.7514318442153494, "MacroF1": 0.7467163857842193, "Memory in Mb": 4.117303848266602, "Time in s": 513.2937440000001 }, { "step": 920, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.750816104461371, "MicroF1": 0.750816104461371, "MacroF1": 0.7453933609147309, "Memory in Mb": 4.117105484008789, "Time in s": 567.431634 }, { "step": 966, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7512953367875648, "MicroF1": 0.7512953367875648, "MacroF1": 0.7451117895470661, "Memory in Mb": 4.116701126098633, "Time in s": 624.2209760000001 }, { "step": 1012, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7507418397626113, "MicroF1": 0.7507418397626113, "MacroF1": 0.744963080481548, "Memory in Mb": 4.116399765014648, "Time in s": 683.8404210000001 }, { "step": 1058, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7511825922421949, "MicroF1": 0.7511825922421949, "MacroF1": 0.7446315489945475, "Memory in Mb": 4.117582321166992, "Time in s": 746.2097300000001 }, { "step": 1104, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7533998186763372, "MicroF1": 0.7533998186763373, "MacroF1": 0.7466082689908061, "Memory in Mb": 4.117956161499023, "Time in s": 811.1743250000002 }, { "step": 1150, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7563098346388164, "MicroF1": 0.7563098346388164, "MacroF1": 0.7491651771194966, "Memory in Mb": 4.117490768432617, "Time in s": 878.6809830000002 }, { "step": 1196, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7589958158995815, "MicroF1": 0.7589958158995815, "MacroF1": 0.7526420027035883, "Memory in Mb": 4.117303848266602, "Time in s": 948.8627130000002 }, { "step": 1242, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.75825946817083, "MicroF1": 0.7582594681708301, "MacroF1": 0.7524016178277559, "Memory in Mb": 4.11713981628418, "Time in s": 1021.5806660000002 }, { "step": 1288, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7637917637917638, "MicroF1": 0.7637917637917638, "MacroF1": 0.75666252908711, "Memory in Mb": 4.117353439331055, "Time in s": 1096.9757510000002 }, { "step": 1334, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7636909227306826, "MicroF1": 0.7636909227306825, "MacroF1": 0.7569484848610158, "Memory in Mb": 4.11726188659668, "Time in s": 1175.015685 }, { "step": 1380, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7650471356055112, "MicroF1": 0.7650471356055112, "MacroF1": 0.7590436403579585, "Memory in Mb": 4.11729621887207, "Time in s": 1255.693831 }, { "step": 1426, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.767719298245614, "MicroF1": 0.767719298245614, "MacroF1": 0.761211289695921, "Memory in Mb": 4.117136001586914, "Time in s": 1338.965745 }, { "step": 1472, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7722637661454793, "MicroF1": 0.7722637661454793, "MacroF1": 0.764056696643358, "Memory in Mb": 4.117197036743164, "Time in s": 1424.822234 }, { "step": 1518, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7732366512854317, "MicroF1": 0.7732366512854317, "MacroF1": 0.764234133414765, "Memory in Mb": 4.117246627807617, "Time in s": 1513.291691 }, { "step": 1564, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7735124760076776, "MicroF1": 0.7735124760076776, "MacroF1": 0.7653316001442944, "Memory in Mb": 4.117277145385742, "Time in s": 1604.2857379999998 }, { "step": 1610, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7737725295214419, "MicroF1": 0.7737725295214419, "MacroF1": 0.7647353044337893, "Memory in Mb": 4.11713981628418, "Time in s": 1697.9838939999995 }, { "step": 1656, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7734138972809668, "MicroF1": 0.7734138972809667, "MacroF1": 0.7645730180903108, "Memory in Mb": 4.116628646850586, "Time in s": 1794.3974679999997 }, { "step": 1702, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7724867724867724, "MicroF1": 0.7724867724867724, "MacroF1": 0.7656182355666586, "Memory in Mb": 4.116819381713867, "Time in s": 1893.301291 }, { "step": 1748, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7750429307384087, "MicroF1": 0.7750429307384087, "MacroF1": 0.7677424040514297, "Memory in Mb": 4.116933822631836, "Time in s": 1994.662727 }, { "step": 1794, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7763524818739542, "MicroF1": 0.7763524818739542, "MacroF1": 0.7677176136548693, "Memory in Mb": 4.116861343383789, "Time in s": 2098.663831 }, { "step": 1840, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7775965198477434, "MicroF1": 0.7775965198477434, "MacroF1": 0.7691578918725354, "Memory in Mb": 4.11646842956543, "Time in s": 2205.226802 }, { "step": 1886, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7761273209549071, "MicroF1": 0.7761273209549071, "MacroF1": 0.7681560201617949, "Memory in Mb": 4.116430282592773, "Time in s": 2314.321902 }, { "step": 1932, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7762817193164163, "MicroF1": 0.7762817193164163, "MacroF1": 0.7674170460709655, "Memory in Mb": 4.116365432739258, "Time in s": 2425.9767019999995 }, { "step": 1978, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7769347496206374, "MicroF1": 0.7769347496206374, "MacroF1": 0.7672843880004774, "Memory in Mb": 4.116201400756836, "Time in s": 2540.253238 }, { "step": 2024, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7790410281759763, "MicroF1": 0.7790410281759763, "MacroF1": 0.7681802739952505, "Memory in Mb": 4.116155624389648, "Time in s": 2657.1841359999994 }, { "step": 2070, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.778153697438376, "MicroF1": 0.7781536974383759, "MacroF1": 0.767530439166732, "Memory in Mb": 4.116151809692383, "Time in s": 2776.607733 }, { "step": 2116, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7787234042553192, "MicroF1": 0.778723404255319, "MacroF1": 0.7673415220519754, "Memory in Mb": 4.116128921508789, "Time in s": 2898.5867789999998 }, { "step": 2162, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7797316057380842, "MicroF1": 0.7797316057380842, "MacroF1": 0.7679341969633587, "Memory in Mb": 4.116201400756836, "Time in s": 3023.0016299999997 }, { "step": 2208, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7816039873130947, "MicroF1": 0.7816039873130947, "MacroF1": 0.7687944234581563, "Memory in Mb": 4.11619758605957, "Time in s": 3150.038225 }, { "step": 2254, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7785175321793165, "MicroF1": 0.7785175321793165, "MacroF1": 0.7657018899401807, "Memory in Mb": 4.116170883178711, "Time in s": 3279.4760369999995 }, { "step": 2300, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7777294475859069, "MicroF1": 0.7777294475859068, "MacroF1": 0.7649119672933203, "Memory in Mb": 4.116254806518555, "Time in s": 3411.201767 }, { "step": 2310, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "ImageSegments", "Accuracy": 0.7778258986574275, "MicroF1": 0.7778258986574276, "MacroF1": 0.765010539660814, "Memory in Mb": 4.116277694702148, "Time in s": 3543.54869 }, { "step": 1056, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6360189573459716, "MicroF1": 0.6360189573459716, "MacroF1": 0.5970323052762562, "Memory in Mb": 6.48949146270752, "Time in s": 90.340432 }, { "step": 2112, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.62482235907153, "MicroF1": 0.62482235907153, "MacroF1": 0.5890580890213498, "Memory in Mb": 6.490170478820801, "Time in s": 257.284509 }, { "step": 3168, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6157246605620461, "MicroF1": 0.6157246605620461, "MacroF1": 0.5802533923244894, "Memory in Mb": 6.491124153137207, "Time in s": 490.807794 }, { "step": 4224, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6107032914989344, "MicroF1": 0.6107032914989344, "MacroF1": 0.574850135712032, "Memory in Mb": 6.49120044708252, "Time in s": 783.3577379999999 }, { "step": 5280, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.614889183557492, "MicroF1": 0.614889183557492, "MacroF1": 0.5777842549225517, "Memory in Mb": 6.491948127746582, "Time in s": 1129.937274 }, { "step": 6336, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.608997632202052, "MicroF1": 0.608997632202052, "MacroF1": 0.5733157350789626, "Memory in Mb": 6.490735054016113, "Time in s": 1525.7763839999998 }, { "step": 7392, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6057367068055743, "MicroF1": 0.6057367068055743, "MacroF1": 0.5703382690867537, "Memory in Mb": 6.490704536437988, "Time in s": 1967.928226 }, { "step": 8448, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6069610512608027, "MicroF1": 0.6069610512608027, "MacroF1": 0.5711427916016896, "Memory in Mb": 6.490643501281738, "Time in s": 2456.105543 }, { "step": 9504, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6039145532989583, "MicroF1": 0.6039145532989583, "MacroF1": 0.5678102867297488, "Memory in Mb": 6.491009712219238, "Time in s": 2990.761064 }, { "step": 10560, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6034662373330808, "MicroF1": 0.6034662373330808, "MacroF1": 0.567425153452482, "Memory in Mb": 6.491185188293457, "Time in s": 3571.580702 }, { "step": 11616, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6005165733964701, "MicroF1": 0.6005165733964701, "MacroF1": 0.56512832395729, "Memory in Mb": 6.491345405578613, "Time in s": 4198.711386999999 }, { "step": 12672, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6031883829216321, "MicroF1": 0.6031883829216321, "MacroF1": 0.5703828979306638, "Memory in Mb": 6.491543769836426, "Time in s": 4874.277407999999 }, { "step": 13728, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6152108982297662, "MicroF1": 0.6152108982297662, "MacroF1": 0.5959760515786451, "Memory in Mb": 5.97607421875, "Time in s": 5593.125681999999 }, { "step": 14784, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.6060339579246432, "MicroF1": 0.6060339579246432, "MacroF1": 0.5869142505177357, "Memory in Mb": 6.496403694152832, "Time in s": 6355.050274999999 }, { "step": 15840, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5713744554580465, "MicroF1": 0.5713744554580465, "MacroF1": 0.5537658591956377, "Memory in Mb": 6.4967546463012695, "Time in s": 7160.569073999999 }, { "step": 16896, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.545546019532406, "MicroF1": 0.545546019532406, "MacroF1": 0.5286479939306438, "Memory in Mb": 6.381303787231445, "Time in s": 8010.073855999999 }, { "step": 17952, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.526767311013314, "MicroF1": 0.526767311013314, "MacroF1": 0.509587529402725, "Memory in Mb": 6.497265815734863, "Time in s": 8901.233847 }, { "step": 19008, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.517756615983585, "MicroF1": 0.517756615983585, "MacroF1": 0.4976462434137419, "Memory in Mb": 4.685893058776856, "Time in s": 9829.81162 }, { "step": 20064, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5296815032647162, "MicroF1": 0.5296815032647162, "MacroF1": 0.5080882715573688, "Memory in Mb": 10.369908332824709, "Time in s": 10791.950057 }, { "step": 21120, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.539750935176855, "MicroF1": 0.539750935176855, "MacroF1": 0.5184934777423561, "Memory in Mb": 10.92272663116455, "Time in s": 11801.930673 }, { "step": 22176, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5468771138669674, "MicroF1": 0.5468771138669674, "MacroF1": 0.525970977438283, "Memory in Mb": 10.920933723449709, "Time in s": 12856.592968 }, { "step": 23232, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5551633593043778, "MicroF1": 0.5551633593043778, "MacroF1": 0.5340735310276195, "Memory in Mb": 12.231526374816896, "Time in s": 13957.460176 }, { "step": 24288, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5615761518507844, "MicroF1": 0.5615761518507844, "MacroF1": 0.5396852076547556, "Memory in Mb": 12.87682819366455, "Time in s": 15100.290122 }, { "step": 25344, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5679280274632048, "MicroF1": 0.5679280274632048, "MacroF1": 0.5455634192548013, "Memory in Mb": 13.528642654418944, "Time in s": 16285.362621 }, { "step": 26400, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5727868479866661, "MicroF1": 0.5727868479866661, "MacroF1": 0.5496374434570932, "Memory in Mb": 13.632143020629885, "Time in s": 17508.053461 }, { "step": 27456, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5754143143325442, "MicroF1": 0.5754143143325442, "MacroF1": 0.5513680135969626, "Memory in Mb": 13.630533218383787, "Time in s": 18766.96928 }, { "step": 28512, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5772859598049875, "MicroF1": 0.5772859598049875, "MacroF1": 0.5551350356863173, "Memory in Mb": 13.627862930297852, "Time in s": 20061.957755000003 }, { "step": 29568, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.577772516657084, "MicroF1": 0.577772516657084, "MacroF1": 0.5590861332292512, "Memory in Mb": 13.626611709594728, "Time in s": 21394.440888000005 }, { "step": 30624, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.578225516768442, "MicroF1": 0.578225516768442, "MacroF1": 0.5625516131192055, "Memory in Mb": 12.769641876220703, "Time in s": 22755.311286000004 }, { "step": 31680, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5795637488557088, "MicroF1": 0.5795637488557088, "MacroF1": 0.5663363640160616, "Memory in Mb": 12.768932342529297, "Time in s": 24150.336726000005 }, { "step": 32736, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5811211241790133, "MicroF1": 0.5811211241790133, "MacroF1": 0.5696723582178381, "Memory in Mb": 12.768062591552734, "Time in s": 25577.802283000005 }, { "step": 33792, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.575804208221124, "MicroF1": 0.575804208221124, "MacroF1": 0.5647934119551398, "Memory in Mb": 12.981294631958008, "Time in s": 27039.45595800001 }, { "step": 34848, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5701495107182828, "MicroF1": 0.5701495107182828, "MacroF1": 0.559068023359177, "Memory in Mb": 12.981256484985352, "Time in s": 28537.493337000007 }, { "step": 35904, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5657744478177311, "MicroF1": 0.5657744478177311, "MacroF1": 0.5542573482740075, "Memory in Mb": 12.983362197875977, "Time in s": 30069.70246600001 }, { "step": 36960, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5611894261208366, "MicroF1": 0.5611894261208366, "MacroF1": 0.5493152777162592, "Memory in Mb": 13.52482795715332, "Time in s": 31635.746830000007 }, { "step": 38016, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.558779429172695, "MicroF1": 0.558779429172695, "MacroF1": 0.5463982360776033, "Memory in Mb": 13.526559829711914, "Time in s": 33235.41425300001 }, { "step": 39072, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5546825010877633, "MicroF1": 0.5546825010877633, "MacroF1": 0.5426283860139581, "Memory in Mb": 14.304903030395508, "Time in s": 34865.73115700001 }, { "step": 40128, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5542153662122761, "MicroF1": 0.5542153662122761, "MacroF1": 0.5429626632180721, "Memory in Mb": 15.152182579040527, "Time in s": 36525.24862800001 }, { "step": 41184, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5541364155112547, "MicroF1": 0.5541364155112547, "MacroF1": 0.5435420562964655, "Memory in Mb": 15.252725601196287, "Time in s": 38211.297236000006 }, { "step": 42240, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5542981604678141, "MicroF1": 0.5542981604678141, "MacroF1": 0.544391400018036, "Memory in Mb": 15.251314163208008, "Time in s": 39923.86574200001 }, { "step": 43296, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.554151749624668, "MicroF1": 0.554151749624668, "MacroF1": 0.5448486588729107, "Memory in Mb": 13.424749374389648, "Time in s": 41664.47056700001 }, { "step": 44352, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5536290049829767, "MicroF1": 0.5536290049829767, "MacroF1": 0.5448029815059025, "Memory in Mb": 13.64866542816162, "Time in s": 43429.160590000014 }, { "step": 45408, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5541436342414165, "MicroF1": 0.5541436342414165, "MacroF1": 0.5454957405719211, "Memory in Mb": 14.18911075592041, "Time in s": 45215.90786900002 }, { "step": 46464, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5553020683124207, "MicroF1": 0.5553020683124207, "MacroF1": 0.546961663735647, "Memory in Mb": 15.156656265258787, "Time in s": 47024.86244100002 }, { "step": 47520, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5579662871693428, "MicroF1": 0.5579662871693428, "MacroF1": 0.5498636684303295, "Memory in Mb": 14.218542098999023, "Time in s": 48856.78116300002 }, { "step": 48576, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5627586206896552, "MicroF1": 0.5627586206896552, "MacroF1": 0.5545030394801858, "Memory in Mb": 14.845645904541016, "Time in s": 50711.77001700002 }, { "step": 49632, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5677701436602124, "MicroF1": 0.5677701436602124, "MacroF1": 0.5591808574875289, "Memory in Mb": 15.233248710632324, "Time in s": 52589.43568900003 }, { "step": 50688, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5730463432438297, "MicroF1": 0.5730463432438297, "MacroF1": 0.5639878919164368, "Memory in Mb": 15.890131950378418, "Time in s": 54487.48381000003 }, { "step": 51744, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5791894555785324, "MicroF1": 0.5791894555785324, "MacroF1": 0.5695807960578061, "Memory in Mb": 16.1916446685791, "Time in s": 56406.77001200003 }, { "step": 52800, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5794427924771303, "MicroF1": 0.5794427924771303, "MacroF1": 0.5701512686040561, "Memory in Mb": 15.30721950531006, "Time in s": 58342.70756100003 }, { "step": 52848, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Insects", "Accuracy": 0.5794652487369197, "MicroF1": 0.5794652487369197, "MacroF1": 0.5701984940722999, "Memory in Mb": 15.30735683441162, "Time in s": 60279.413314000034 }, { "step": 408, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.9828009828009828, "MicroF1": 0.9828009828009828, "MacroF1": 0.6067632850241546, "Memory in Mb": 2.100947380065918, "Time in s": 5.705318 }, { "step": 816, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.943558282208589, "MicroF1": 0.943558282208589, "MacroF1": 0.7669956277713079, "Memory in Mb": 3.048105239868164, "Time in s": 25.352994 }, { "step": 1224, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8912510220768601, "MicroF1": 0.8912510220768601, "MacroF1": 0.8617021305177772, "Memory in Mb": 3.9921913146972656, "Time in s": 63.032035 }, { "step": 1632, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.9031269160024524, "MicroF1": 0.9031269160024524, "MacroF1": 0.8868998230762756, "Memory in Mb": 4.944231986999512, "Time in s": 123.600275 }, { "step": 2040, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.898970083374203, "MicroF1": 0.898970083374203, "MacroF1": 0.888705938214812, "Memory in Mb": 5.993730545043945, "Time in s": 211.611387 }, { "step": 2448, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8598283612586841, "MicroF1": 0.8598283612586841, "MacroF1": 0.8569666636755086, "Memory in Mb": 6.37155818939209, "Time in s": 330.620683 }, { "step": 2856, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8669001751313485, "MicroF1": 0.8669001751313484, "MacroF1": 0.8547854134985733, "Memory in Mb": 7.318934440612793, "Time in s": 479.663409 }, { "step": 3264, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8581060373889059, "MicroF1": 0.8581060373889059, "MacroF1": 0.8327540420876277, "Memory in Mb": 8.264909744262695, "Time in s": 660.474615 }, { "step": 3672, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8490874421138654, "MicroF1": 0.8490874421138654, "MacroF1": 0.8463961237855363, "Memory in Mb": 8.926459312438965, "Time in s": 875.371562 }, { "step": 4080, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8421181662172101, "MicroF1": 0.84211816621721, "MacroF1": 0.8299816031455575, "Memory in Mb": 10.074895858764648, "Time in s": 1125.854174 }, { "step": 4488, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8301760641854246, "MicroF1": 0.8301760641854244, "MacroF1": 0.8400819204125556, "Memory in Mb": 11.044804573059082, "Time in s": 1412.144879 }, { "step": 4896, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8314606741573034, "MicroF1": 0.8314606741573034, "MacroF1": 0.8387821748480373, "Memory in Mb": 8.862092971801758, "Time in s": 1728.261118 }, { "step": 5304, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8333019045823119, "MicroF1": 0.8333019045823119, "MacroF1": 0.8299513887279447, "Memory in Mb": 9.715648651123049, "Time in s": 2074.079546 }, { "step": 5712, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8255997198389073, "MicroF1": 0.8255997198389075, "MacroF1": 0.831498100235552, "Memory in Mb": 10.513428688049316, "Time in s": 2449.732459 }, { "step": 6120, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8241542735741134, "MicroF1": 0.8241542735741134, "MacroF1": 0.813971923025991, "Memory in Mb": 11.555256843566896, "Time in s": 2856.066254 }, { "step": 6528, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8043511567335683, "MicroF1": 0.8043511567335683, "MacroF1": 0.8048077550156274, "Memory in Mb": 12.298343658447266, "Time in s": 3295.046229 }, { "step": 6936, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8002883922134102, "MicroF1": 0.8002883922134101, "MacroF1": 0.8062362865697692, "Memory in Mb": 11.726844787597656, "Time in s": 3768.473318 }, { "step": 7344, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8093422306959008, "MicroF1": 0.8093422306959008, "MacroF1": 0.813125473572493, "Memory in Mb": 9.433514595031738, "Time in s": 4267.304275 }, { "step": 7752, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8157657076506257, "MicroF1": 0.8157657076506257, "MacroF1": 0.8184378776785012, "Memory in Mb": 10.539642333984377, "Time in s": 4791.9677950000005 }, { "step": 8160, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8199534256649099, "MicroF1": 0.81995342566491, "MacroF1": 0.8213128379144453, "Memory in Mb": 11.364830017089844, "Time in s": 5345.1630700000005 }, { "step": 8568, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8247928096183028, "MicroF1": 0.8247928096183028, "MacroF1": 0.8275146627418534, "Memory in Mb": 12.672901153564451, "Time in s": 5929.400246 }, { "step": 8976, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8295264623955432, "MicroF1": 0.8295264623955433, "MacroF1": 0.8318915513040454, "Memory in Mb": 13.833264350891112, "Time in s": 6547.972923 }, { "step": 9384, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8319300863263348, "MicroF1": 0.8319300863263348, "MacroF1": 0.8336463894938194, "Memory in Mb": 14.741169929504396, "Time in s": 7204.877164 }, { "step": 9792, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8342355224185476, "MicroF1": 0.8342355224185476, "MacroF1": 0.8362542817352725, "Memory in Mb": 16.02083969116211, "Time in s": 7900.921468 }, { "step": 10200, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8343955289734287, "MicroF1": 0.8343955289734286, "MacroF1": 0.833886744496364, "Memory in Mb": 17.251243591308594, "Time in s": 8638.28045 }, { "step": 10608, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8258697086829452, "MicroF1": 0.8258697086829452, "MacroF1": 0.823298887298616, "Memory in Mb": 18.484009742736816, "Time in s": 9418.818077 }, { "step": 11016, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.825692237857467, "MicroF1": 0.825692237857467, "MacroF1": 0.827229896548608, "Memory in Mb": 17.053231239318848, "Time in s": 10241.512178 }, { "step": 11424, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8263153287227524, "MicroF1": 0.8263153287227524, "MacroF1": 0.8251000136898328, "Memory in Mb": 18.097841262817383, "Time in s": 11105.510711 }, { "step": 11832, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8257966359563857, "MicroF1": 0.8257966359563859, "MacroF1": 0.8251092059206939, "Memory in Mb": 19.1904354095459, "Time in s": 12012.672379 }, { "step": 12240, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8289892965111528, "MicroF1": 0.8289892965111528, "MacroF1": 0.8300645161883343, "Memory in Mb": 17.2155818939209, "Time in s": 12963.554855000002 }, { "step": 12648, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8324503834901558, "MicroF1": 0.8324503834901558, "MacroF1": 0.8328446288662702, "Memory in Mb": 17.090572357177734, "Time in s": 13955.688030000005 }, { "step": 13056, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8295672156261968, "MicroF1": 0.8295672156261968, "MacroF1": 0.8279815503081916, "Memory in Mb": 18.284998893737797, "Time in s": 14990.870602000005 }, { "step": 13464, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.828121518235163, "MicroF1": 0.828121518235163, "MacroF1": 0.8279872572314477, "Memory in Mb": 18.759904861450195, "Time in s": 16071.989638000005 }, { "step": 13872, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8300771393554899, "MicroF1": 0.8300771393554899, "MacroF1": 0.8300312724960401, "Memory in Mb": 19.937789916992188, "Time in s": 17198.739284000003 }, { "step": 14280, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8329714966034036, "MicroF1": 0.8329714966034036, "MacroF1": 0.8330653900337638, "Memory in Mb": 21.17230033874512, "Time in s": 18373.548754000003 }, { "step": 14688, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8360454823994008, "MicroF1": 0.8360454823994008, "MacroF1": 0.8362319050195895, "Memory in Mb": 22.12139320373535, "Time in s": 19591.296889000005 }, { "step": 15096, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8391520370983769, "MicroF1": 0.8391520370983769, "MacroF1": 0.8393677597260801, "Memory in Mb": 22.688467979431152, "Time in s": 20852.364231000003 }, { "step": 15504, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8400309617493389, "MicroF1": 0.8400309617493388, "MacroF1": 0.8398031059873, "Memory in Mb": 23.806550979614254, "Time in s": 22157.639176000004 }, { "step": 15912, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8335114072025642, "MicroF1": 0.8335114072025642, "MacroF1": 0.8310693286634668, "Memory in Mb": 25.06292724609375, "Time in s": 23499.792247000005 }, { "step": 16320, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8283595808566702, "MicroF1": 0.8283595808566702, "MacroF1": 0.826721014765785, "Memory in Mb": 26.060873985290527, "Time in s": 24886.958001000006 }, { "step": 16728, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.826747175225683, "MicroF1": 0.8267471752256829, "MacroF1": 0.8259678903415486, "Memory in Mb": 27.245673179626465, "Time in s": 26317.085564000008 }, { "step": 17136, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.821943390720747, "MicroF1": 0.821943390720747, "MacroF1": 0.8202405231953956, "Memory in Mb": 28.675668716430664, "Time in s": 27793.820666000007 }, { "step": 17544, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8182180926865417, "MicroF1": 0.8182180926865417, "MacroF1": 0.8170173651382093, "Memory in Mb": 29.74225902557373, "Time in s": 29319.213378000008 }, { "step": 17952, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.81878446883182, "MicroF1": 0.81878446883182, "MacroF1": 0.8179349229322325, "Memory in Mb": 30.87984085083008, "Time in s": 30892.43160700001 }, { "step": 18360, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.821123154855929, "MicroF1": 0.821123154855929, "MacroF1": 0.8204502524156659, "Memory in Mb": 32.019548416137695, "Time in s": 32513.434007000007 }, { "step": 18768, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8235200085256035, "MicroF1": 0.8235200085256035, "MacroF1": 0.8229965581236837, "Memory in Mb": 33.157379150390625, "Time in s": 34181.929457000006 }, { "step": 19176, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.819973924380704, "MicroF1": 0.819973924380704, "MacroF1": 0.8189812465563673, "Memory in Mb": 34.295823097229004, "Time in s": 35895.74071300001 }, { "step": 19584, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.821733135883164, "MicroF1": 0.821733135883164, "MacroF1": 0.8211010404575377, "Memory in Mb": 35.31475067138672, "Time in s": 37655.039070000006 }, { "step": 19992, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.8188684908208694, "MicroF1": 0.8188684908208694, "MacroF1": 0.8180458262517715, "Memory in Mb": 36.57470226287842, "Time in s": 39458.702899 }, { "step": 20400, "track": "Multiclass classification", "model": "ADWIN Bagging", "dataset": "Keystroke", "Accuracy": 0.816559635276239, "MicroF1": 0.816559635276239, "MacroF1": 0.8159075588016685, "Memory in Mb": 37.85576725006104, "Time in s": 41308.014952000005 }, { "step": 46, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.1111111111111111, "MicroF1": 0.1111111111111111, "MacroF1": 0.0815018315018315, "Memory in Mb": 3.4160032272338867, "Time in s": 1.208286 }, { "step": 92, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.2307692307692307, "MicroF1": 0.2307692307692307, "MacroF1": 0.2226391771283412, "Memory in Mb": 4.099128723144531, "Time in s": 4.553382 }, { "step": 138, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.4233576642335766, "MicroF1": 0.4233576642335766, "MacroF1": 0.4463537718619156, "Memory in Mb": 4.099002838134766, "Time in s": 10.351245 }, { "step": 184, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.5355191256830601, "MicroF1": 0.5355191256830601, "MacroF1": 0.5617062146473912, "Memory in Mb": 4.099178314208984, "Time in s": 18.765494 }, { "step": 230, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.5938864628820961, "MicroF1": 0.5938864628820961, "MacroF1": 0.6236530662596055, "Memory in Mb": 4.099166870117188, "Time in s": 30.180838 }, { "step": 276, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.6290909090909091, "MicroF1": 0.6290909090909091, "MacroF1": 0.6558170665459355, "Memory in Mb": 4.099109649658203, "Time in s": 44.412895 }, { "step": 322, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.660436137071651, "MicroF1": 0.660436137071651, "MacroF1": 0.678574720261515, "Memory in Mb": 4.098438262939453, "Time in s": 61.214822 }, { "step": 368, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.6920980926430518, "MicroF1": 0.6920980926430518, "MacroF1": 0.7041680355881775, "Memory in Mb": 4.0984954833984375, "Time in s": 80.427396 }, { "step": 414, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7167070217917676, "MicroF1": 0.7167070217917676, "MacroF1": 0.7259075149442813, "Memory in Mb": 4.097980499267578, "Time in s": 102.254145 }, { "step": 460, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7254901960784313, "MicroF1": 0.7254901960784313, "MacroF1": 0.7325011710849479, "Memory in Mb": 4.098300933837891, "Time in s": 127.091256 }, { "step": 506, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7386138613861386, "MicroF1": 0.7386138613861386, "MacroF1": 0.7428621938273078, "Memory in Mb": 4.098552703857422, "Time in s": 154.35838199999998 }, { "step": 552, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7422867513611615, "MicroF1": 0.7422867513611615, "MacroF1": 0.7453719085253248, "Memory in Mb": 4.098358154296875, "Time in s": 184.303693 }, { "step": 598, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7487437185929648, "MicroF1": 0.7487437185929648, "MacroF1": 0.7504522188790486, "Memory in Mb": 4.098468780517578, "Time in s": 216.734559 }, { "step": 644, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7465007776049767, "MicroF1": 0.7465007776049767, "MacroF1": 0.7482323503576439, "Memory in Mb": 4.098541259765625, "Time in s": 252.139078 }, { "step": 690, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7489114658925979, "MicroF1": 0.748911465892598, "MacroF1": 0.7488472102580618, "Memory in Mb": 4.098594665527344, "Time in s": 290.044846 }, { "step": 736, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7523809523809524, "MicroF1": 0.7523809523809524, "MacroF1": 0.7518283723099097, "Memory in Mb": 4.098430633544922, "Time in s": 330.661237 }, { "step": 782, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7541613316261203, "MicroF1": 0.7541613316261204, "MacroF1": 0.7531089046321314, "Memory in Mb": 4.098361968994141, "Time in s": 373.819675 }, { "step": 828, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7557436517533253, "MicroF1": 0.7557436517533253, "MacroF1": 0.7552013614952863, "Memory in Mb": 4.098308563232422, "Time in s": 419.6867600000001 }, { "step": 874, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7617411225658648, "MicroF1": 0.7617411225658649, "MacroF1": 0.7601066395856337, "Memory in Mb": 4.098381042480469, "Time in s": 467.91378800000007 }, { "step": 920, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.763873775843308, "MicroF1": 0.763873775843308, "MacroF1": 0.7623480483274478, "Memory in Mb": 4.098400115966797, "Time in s": 518.622959 }, { "step": 966, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7678756476683938, "MicroF1": 0.7678756476683938, "MacroF1": 0.7646598072570266, "Memory in Mb": 4.098423004150391, "Time in s": 571.868767 }, { "step": 1012, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7705242334322453, "MicroF1": 0.7705242334322453, "MacroF1": 0.7668271197983111, "Memory in Mb": 4.098529815673828, "Time in s": 627.754669 }, { "step": 1058, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7757805108798487, "MicroF1": 0.7757805108798487, "MacroF1": 0.7714920336037777, "Memory in Mb": 4.098388671875, "Time in s": 686.3790640000001 }, { "step": 1104, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7760652765185857, "MicroF1": 0.7760652765185856, "MacroF1": 0.7719206139767609, "Memory in Mb": 4.098537445068359, "Time in s": 747.748718 }, { "step": 1150, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7789382071366405, "MicroF1": 0.7789382071366405, "MacroF1": 0.7750313949659527, "Memory in Mb": 4.098442077636719, "Time in s": 811.629001 }, { "step": 1196, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7849372384937239, "MicroF1": 0.7849372384937239, "MacroF1": 0.7820003890472508, "Memory in Mb": 4.098487854003906, "Time in s": 878.060098 }, { "step": 1242, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7856567284448026, "MicroF1": 0.7856567284448026, "MacroF1": 0.7827470902102026, "Memory in Mb": 4.098438262939453, "Time in s": 947.241797 }, { "step": 1288, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7894327894327894, "MicroF1": 0.7894327894327894, "MacroF1": 0.785982924599392, "Memory in Mb": 4.0983428955078125, "Time in s": 1018.793017 }, { "step": 1334, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7906976744186046, "MicroF1": 0.7906976744186046, "MacroF1": 0.7876424482584368, "Memory in Mb": 4.098438262939453, "Time in s": 1093.078269 }, { "step": 1380, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7933284989122552, "MicroF1": 0.7933284989122552, "MacroF1": 0.7906471924204205, "Memory in Mb": 4.098392486572266, "Time in s": 1169.7117919999998 }, { "step": 1426, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.7978947368421052, "MicroF1": 0.7978947368421052, "MacroF1": 0.7945020166797493, "Memory in Mb": 4.098480224609375, "Time in s": 1248.577134 }, { "step": 1472, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8028552005438477, "MicroF1": 0.8028552005438477, "MacroF1": 0.7982243751921434, "Memory in Mb": 4.098472595214844, "Time in s": 1329.680821 }, { "step": 1518, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8035596572181938, "MicroF1": 0.8035596572181938, "MacroF1": 0.7981876534181912, "Memory in Mb": 4.098491668701172, "Time in s": 1413.4983189999998 }, { "step": 1564, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8035828534868842, "MicroF1": 0.8035828534868842, "MacroF1": 0.798634974540431, "Memory in Mb": 4.098518371582031, "Time in s": 1499.905218 }, { "step": 1610, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8048477315102548, "MicroF1": 0.8048477315102549, "MacroF1": 0.7997380784882049, "Memory in Mb": 4.098381042480469, "Time in s": 1588.836817 }, { "step": 1656, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8066465256797583, "MicroF1": 0.8066465256797583, "MacroF1": 0.80161945439383, "Memory in Mb": 4.098377227783203, "Time in s": 1680.249514 }, { "step": 1702, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8059964726631393, "MicroF1": 0.8059964726631393, "MacroF1": 0.8024858564723997, "Memory in Mb": 4.098514556884766, "Time in s": 1774.345382 }, { "step": 1748, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8070978820835718, "MicroF1": 0.8070978820835718, "MacroF1": 0.8029124203507955, "Memory in Mb": 4.098423004150391, "Time in s": 1871.065136 }, { "step": 1794, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8081427774679308, "MicroF1": 0.8081427774679307, "MacroF1": 0.8029834045630979, "Memory in Mb": 4.098461151123047, "Time in s": 1970.03779 }, { "step": 1840, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8069603045133225, "MicroF1": 0.8069603045133223, "MacroF1": 0.801927622716254, "Memory in Mb": 4.098594665527344, "Time in s": 2071.588776 }, { "step": 1886, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8053050397877984, "MicroF1": 0.8053050397877984, "MacroF1": 0.8006727596367825, "Memory in Mb": 4.098400115966797, "Time in s": 2175.772942 }, { "step": 1932, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8047643707923355, "MicroF1": 0.8047643707923355, "MacroF1": 0.7995493059800365, "Memory in Mb": 4.098396301269531, "Time in s": 2282.41088 }, { "step": 1978, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8057663125948407, "MicroF1": 0.8057663125948407, "MacroF1": 0.8003960406612564, "Memory in Mb": 4.098434448242188, "Time in s": 2391.59611 }, { "step": 2024, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8072170044488384, "MicroF1": 0.8072170044488384, "MacroF1": 0.8005625942078284, "Memory in Mb": 4.098430633544922, "Time in s": 2503.16971 }, { "step": 2070, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8066698888351861, "MicroF1": 0.8066698888351861, "MacroF1": 0.8002110568368, "Memory in Mb": 4.098316192626953, "Time in s": 2617.3694960000003 }, { "step": 2116, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.807565011820331, "MicroF1": 0.807565011820331, "MacroF1": 0.8005131307885663, "Memory in Mb": 4.0983428955078125, "Time in s": 2733.922308 }, { "step": 2162, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8079592781119852, "MicroF1": 0.8079592781119852, "MacroF1": 0.8006755955605837, "Memory in Mb": 4.098320007324219, "Time in s": 2852.747139 }, { "step": 2208, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8087902129587675, "MicroF1": 0.8087902129587675, "MacroF1": 0.8009921695193862, "Memory in Mb": 4.098320007324219, "Time in s": 2973.740681 }, { "step": 2254, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8060363959165557, "MicroF1": 0.8060363959165557, "MacroF1": 0.7987732120640717, "Memory in Mb": 4.0983428955078125, "Time in s": 3097.6149410000003 }, { "step": 2300, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8051326663766856, "MicroF1": 0.8051326663766856, "MacroF1": 0.798077892809675, "Memory in Mb": 4.0983428955078125, "Time in s": 3223.9293610000004 }, { "step": 2310, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "ImageSegments", "Accuracy": 0.8046773495019489, "MicroF1": 0.8046773495019489, "MacroF1": 0.7977695866822911, "Memory in Mb": 4.098388671875, "Time in s": 3350.8763620000004 }, { "step": 1056, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6360189573459716, "MicroF1": 0.6360189573459716, "MacroF1": 0.5992691812827112, "Memory in Mb": 6.474042892456055, "Time in s": 88.969298 }, { "step": 2112, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6110847939365229, "MicroF1": 0.6110847939365229, "MacroF1": 0.5773210074897359, "Memory in Mb": 6.473905563354492, "Time in s": 256.045675 }, { "step": 3168, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6043574360593622, "MicroF1": 0.6043574360593622, "MacroF1": 0.5704368753709179, "Memory in Mb": 6.473470687866211, "Time in s": 489.83548 }, { "step": 4224, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6014681506038362, "MicroF1": 0.6014681506038362, "MacroF1": 0.5676969561642586, "Memory in Mb": 6.473196029663086, "Time in s": 783.3519140000001 }, { "step": 5280, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6057965523773442, "MicroF1": 0.6057965523773442, "MacroF1": 0.5710016183775801, "Memory in Mb": 6.473196029663086, "Time in s": 1130.801617 }, { "step": 6336, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5966850828729282, "MicroF1": 0.5966850828729282, "MacroF1": 0.5635903588556204, "Memory in Mb": 6.473356246948242, "Time in s": 1527.884634 }, { "step": 7392, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5957245298335814, "MicroF1": 0.5957245298335814, "MacroF1": 0.5625002603439991, "Memory in Mb": 6.473814010620117, "Time in s": 1971.450931 }, { "step": 8448, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5982005445720374, "MicroF1": 0.5982005445720374, "MacroF1": 0.5646892369665863, "Memory in Mb": 6.474157333374023, "Time in s": 2461.351589 }, { "step": 9504, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.596337998526781, "MicroF1": 0.596337998526781, "MacroF1": 0.5627085514562804, "Memory in Mb": 6.47450065612793, "Time in s": 2997.75158 }, { "step": 10560, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5965527038545316, "MicroF1": 0.5965527038545316, "MacroF1": 0.5631320282838163, "Memory in Mb": 6.47468376159668, "Time in s": 3580.189969 }, { "step": 11616, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5953508394317693, "MicroF1": 0.5953508394317693, "MacroF1": 0.562671447170627, "Memory in Mb": 6.47468376159668, "Time in s": 4209.202801 }, { "step": 12672, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5979796385447084, "MicroF1": 0.5979796385447084, "MacroF1": 0.5680559575776837, "Memory in Mb": 6.474340438842773, "Time in s": 4886.872526 }, { "step": 13728, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.610767101333139, "MicroF1": 0.610767101333139, "MacroF1": 0.5941277335666079, "Memory in Mb": 6.473836898803711, "Time in s": 5609.570035 }, { "step": 14784, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.6019752418318338, "MicroF1": 0.6019752418318338, "MacroF1": 0.5851264744797859, "Memory in Mb": 6.473745346069336, "Time in s": 6378.998584999999 }, { "step": 15840, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5705536965717533, "MicroF1": 0.5705536965717533, "MacroF1": 0.5545059657048704, "Memory in Mb": 6.473974227905273, "Time in s": 7193.860588999999 }, { "step": 16896, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.548091151228174, "MicroF1": 0.548091151228174, "MacroF1": 0.5320735507355622, "Memory in Mb": 6.474386215209961, "Time in s": 8051.816493999999 }, { "step": 17952, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5307225224221492, "MicroF1": 0.5307225224221492, "MacroF1": 0.5138536287616571, "Memory in Mb": 6.474637985229492, "Time in s": 8952.059017 }, { "step": 19008, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5182827379386542, "MicroF1": 0.5182827379386542, "MacroF1": 0.4990809738484312, "Memory in Mb": 6.47486686706543, "Time in s": 9893.706361 }, { "step": 20064, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5182176145142801, "MicroF1": 0.5182176145142801, "MacroF1": 0.497867701567998, "Memory in Mb": 8.642622947692871, "Time in s": 10881.966771 }, { "step": 21120, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5272503432927695, "MicroF1": 0.5272503432927695, "MacroF1": 0.5067114684709674, "Memory in Mb": 15.437758445739746, "Time in s": 11917.076256 }, { "step": 22176, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.533032694475761, "MicroF1": 0.533032694475761, "MacroF1": 0.5127471323280748, "Memory in Mb": 16.81709384918213, "Time in s": 12999.258268 }, { "step": 23232, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5410442942619775, "MicroF1": 0.5410442942619775, "MacroF1": 0.5207771198745245, "Memory in Mb": 17.041016578674316, "Time in s": 14124.681759 }, { "step": 24288, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5459710956478775, "MicroF1": 0.5459710956478775, "MacroF1": 0.5251711652768184, "Memory in Mb": 17.038064002990723, "Time in s": 15290.808705 }, { "step": 25344, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5532099593576135, "MicroF1": 0.5532099593576135, "MacroF1": 0.5314216535856217, "Memory in Mb": 17.036622047424316, "Time in s": 16491.42669 }, { "step": 26400, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5607788173794462, "MicroF1": 0.5607788173794462, "MacroF1": 0.5375130024626694, "Memory in Mb": 17.14900016784668, "Time in s": 17723.115047 }, { "step": 27456, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5667091604443635, "MicroF1": 0.5667091604443635, "MacroF1": 0.5418496825562071, "Memory in Mb": 17.261820793151855, "Time in s": 18986.675501 }, { "step": 28512, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5692890463329943, "MicroF1": 0.5692890463329943, "MacroF1": 0.5455529487931667, "Memory in Mb": 17.26294231414795, "Time in s": 20283.404341 }, { "step": 29568, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5688436432509216, "MicroF1": 0.5688436432509216, "MacroF1": 0.5481992899375988, "Memory in Mb": 17.26337718963623, "Time in s": 21617.011828 }, { "step": 30624, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5687228553701467, "MicroF1": 0.5687228553701467, "MacroF1": 0.5505043481720591, "Memory in Mb": 17.26330852508545, "Time in s": 22980.237824 }, { "step": 31680, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5691467533697402, "MicroF1": 0.5691467533697402, "MacroF1": 0.5529220328647554, "Memory in Mb": 17.262804985046387, "Time in s": 24378.053405 }, { "step": 32736, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5703986558729189, "MicroF1": 0.5703986558729189, "MacroF1": 0.5556828084411201, "Memory in Mb": 17.262507438659668, "Time in s": 25809.039082 }, { "step": 33792, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5650025154626972, "MicroF1": 0.5650025154626972, "MacroF1": 0.5507695387439543, "Memory in Mb": 17.487704277038574, "Time in s": 27274.413314 }, { "step": 34848, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5587281545039745, "MicroF1": 0.5587281545039745, "MacroF1": 0.5445349362041821, "Memory in Mb": 17.929275512695312, "Time in s": 28775.770082 }, { "step": 35904, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5541876723393588, "MicroF1": 0.5541876723393588, "MacroF1": 0.5396635045593164, "Memory in Mb": 18.030207633972168, "Time in s": 30311.158157 }, { "step": 36960, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.549122000054114, "MicroF1": 0.549122000054114, "MacroF1": 0.5343517375956978, "Memory in Mb": 19.681435585021973, "Time in s": 31880.342243 }, { "step": 38016, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5473628830724714, "MicroF1": 0.5473628830724714, "MacroF1": 0.5321033552605493, "Memory in Mb": 21.71814346313477, "Time in s": 33482.866823 }, { "step": 39072, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5426787131120269, "MicroF1": 0.5426787131120269, "MacroF1": 0.52803892360078, "Memory in Mb": 22.487850189208984, "Time in s": 35116.535538 }, { "step": 40128, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5419293742367982, "MicroF1": 0.5419293742367982, "MacroF1": 0.5284857300708793, "Memory in Mb": 23.76238250732422, "Time in s": 36778.160189 }, { "step": 41184, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5417769467984362, "MicroF1": 0.5417769467984362, "MacroF1": 0.5296361895775551, "Memory in Mb": 23.860816955566406, "Time in s": 38464.674338 }, { "step": 42240, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5422240109851085, "MicroF1": 0.5422240109851085, "MacroF1": 0.5313111510734391, "Memory in Mb": 24.196860313415527, "Time in s": 40175.576413 }, { "step": 43296, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5444970550871925, "MicroF1": 0.5444970550871925, "MacroF1": 0.5344195798463859, "Memory in Mb": 24.296037673950195, "Time in s": 41906.99288399999 }, { "step": 44352, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5463461928705102, "MicroF1": 0.5463461928705102, "MacroF1": 0.5369578677381479, "Memory in Mb": 24.84640598297119, "Time in s": 43659.477485 }, { "step": 45408, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5482855066399454, "MicroF1": 0.5482855066399454, "MacroF1": 0.5392181145139481, "Memory in Mb": 25.28636360168457, "Time in s": 45430.571796 }, { "step": 46464, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5506532079288896, "MicroF1": 0.5506532079288896, "MacroF1": 0.5419048601727473, "Memory in Mb": 25.498303413391117, "Time in s": 47220.970484 }, { "step": 47520, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5514846692901787, "MicroF1": 0.5514846692901787, "MacroF1": 0.5429796926051395, "Memory in Mb": 25.82335567474365, "Time in s": 49033.125826 }, { "step": 48576, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5515388574369532, "MicroF1": 0.5515388574369532, "MacroF1": 0.543031483592694, "Memory in Mb": 25.821112632751465, "Time in s": 50867.580247 }, { "step": 49632, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.551953416211642, "MicroF1": 0.551953416211642, "MacroF1": 0.5433574148660688, "Memory in Mb": 26.09889411926269, "Time in s": 52723.913942 }, { "step": 50688, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5563359441276856, "MicroF1": 0.5563359441276856, "MacroF1": 0.5472854805195191, "Memory in Mb": 26.366034507751465, "Time in s": 54600.511787 }, { "step": 51744, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5623562607502464, "MicroF1": 0.5623562607502464, "MacroF1": 0.552981536157949, "Memory in Mb": 27.10032081604004, "Time in s": 56496.789585 }, { "step": 52800, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5634576412432054, "MicroF1": 0.5634576412432054, "MacroF1": 0.5545218292020726, "Memory in Mb": 27.943178176879883, "Time in s": 58415.671716 }, { "step": 52848, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Insects", "Accuracy": 0.5635324616345299, "MicroF1": 0.5635324616345299, "MacroF1": 0.5546220283668154, "Memory in Mb": 27.942995071411133, "Time in s": 60335.727696 }, { "step": 408, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9877149877149876, "MicroF1": 0.9877149877149876, "MacroF1": 0.7696139476961394, "Memory in Mb": 2.1207275390625, "Time in s": 4.211814 }, { "step": 816, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.988957055214724, "MicroF1": 0.988957055214724, "MacroF1": 0.9592655637573824, "Memory in Mb": 2.9369373321533203, "Time in s": 23.739993 }, { "step": 1224, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.983646770237122, "MicroF1": 0.983646770237122, "MacroF1": 0.9326470331192014, "Memory in Mb": 4.590028762817383, "Time in s": 86.527265 }, { "step": 1632, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9828326180257512, "MicroF1": 0.9828326180257512, "MacroF1": 0.9594506659780556, "Memory in Mb": 5.819695472717285, "Time in s": 184.232691 }, { "step": 2040, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9705738106915156, "MicroF1": 0.9705738106915156, "MacroF1": 0.9304838721924584, "Memory in Mb": 8.549582481384277, "Time in s": 323.308574 }, { "step": 2448, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9607682876992236, "MicroF1": 0.9607682876992236, "MacroF1": 0.9455756842664336, "Memory in Mb": 10.061903953552246, "Time in s": 491.40663400000005 }, { "step": 2856, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9541155866900176, "MicroF1": 0.9541155866900176, "MacroF1": 0.9254688528922778, "Memory in Mb": 12.678574562072754, "Time in s": 687.150288 }, { "step": 3264, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.943610174685872, "MicroF1": 0.943610174685872, "MacroF1": 0.9191430707434156, "Memory in Mb": 16.086813926696777, "Time in s": 906.458431 }, { "step": 3672, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9403432307273224, "MicroF1": 0.9403432307273224, "MacroF1": 0.9284235615798526, "Memory in Mb": 18.255277633666992, "Time in s": 1151.002639 }, { "step": 4080, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9338073057121844, "MicroF1": 0.9338073057121844, "MacroF1": 0.918242970538206, "Memory in Mb": 21.65336036682129, "Time in s": 1427.8669570000002 }, { "step": 4488, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9318029864051705, "MicroF1": 0.9318029864051705, "MacroF1": 0.9319119487505448, "Memory in Mb": 22.76876544952393, "Time in s": 1733.8095280000002 }, { "step": 4896, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9317671092951992, "MicroF1": 0.9317671092951992, "MacroF1": 0.9296889978700974, "Memory in Mb": 24.966033935546875, "Time in s": 2062.8329900000003 }, { "step": 5304, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9281538751650008, "MicroF1": 0.9281538751650008, "MacroF1": 0.919765356403914, "Memory in Mb": 29.062508583068848, "Time in s": 2423.731892 }, { "step": 5712, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9227805988443356, "MicroF1": 0.9227805988443356, "MacroF1": 0.9201475418022376, "Memory in Mb": 32.12655830383301, "Time in s": 2815.063536 }, { "step": 6120, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9177970256577872, "MicroF1": 0.9177970256577872, "MacroF1": 0.9072843264203106, "Memory in Mb": 37.27707767486572, "Time in s": 3238.118927 }, { "step": 6528, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9115979776313774, "MicroF1": 0.9115979776313774, "MacroF1": 0.909931232789514, "Memory in Mb": 41.43412208557129, "Time in s": 3706.915394 }, { "step": 6936, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.912905551550108, "MicroF1": 0.912905551550108, "MacroF1": 0.9153430596364792, "Memory in Mb": 44.48411560058594, "Time in s": 4207.758914 }, { "step": 7344, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9135230832084978, "MicroF1": 0.9135230832084978, "MacroF1": 0.9124682676754272, "Memory in Mb": 47.44067192077637, "Time in s": 4740.722969 }, { "step": 7752, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9121403689846472, "MicroF1": 0.9121403689846472, "MacroF1": 0.9121831707972876, "Memory in Mb": 51.03960132598877, "Time in s": 5307.755902000001 }, { "step": 8160, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.908689790415492, "MicroF1": 0.908689790415492, "MacroF1": 0.9062633734460516, "Memory in Mb": 56.064818382263184, "Time in s": 5918.019803000001 }, { "step": 8568, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.905918057663126, "MicroF1": 0.905918057663126, "MacroF1": 0.9058259471519292, "Memory in Mb": 61.820496559143066, "Time in s": 6575.962782000001 }, { "step": 8976, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.9042896935933148, "MicroF1": 0.9042896935933148, "MacroF1": 0.9043251050138336, "Memory in Mb": 64.74030494689941, "Time in s": 7280.842530000002 }, { "step": 9384, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.901843759991474, "MicroF1": 0.901843759991474, "MacroF1": 0.9009662752730246, "Memory in Mb": 68.81300067901611, "Time in s": 8035.1031440000015 }, { "step": 9792, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8971504442855683, "MicroF1": 0.8971504442855683, "MacroF1": 0.8956423708961025, "Memory in Mb": 74.25286674499512, "Time in s": 8855.073479000002 }, { "step": 10200, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8926365329934307, "MicroF1": 0.8926365329934307, "MacroF1": 0.8903074227158838, "Memory in Mb": 79.6785535812378, "Time in s": 9744.976722000005 }, { "step": 10608, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8846987838220043, "MicroF1": 0.8846987838220043, "MacroF1": 0.8819820059100918, "Memory in Mb": 85.28873825073242, "Time in s": 10726.537155000004 }, { "step": 11016, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8791647753064004, "MicroF1": 0.8791647753064004, "MacroF1": 0.8795835231396919, "Memory in Mb": 89.59383392333984, "Time in s": 11788.438997000005 }, { "step": 11424, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8759520266129738, "MicroF1": 0.8759520266129738, "MacroF1": 0.8744149508862001, "Memory in Mb": 94.86630344390868, "Time in s": 12917.703791000004 }, { "step": 11832, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.872200152142676, "MicroF1": 0.872200152142676, "MacroF1": 0.8717012117300328, "Memory in Mb": 100.15169906616212, "Time in s": 14117.771334000005 }, { "step": 12240, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8736824903995425, "MicroF1": 0.8736824903995425, "MacroF1": 0.8749440738646468, "Memory in Mb": 101.9357843399048, "Time in s": 15365.994884000003 }, { "step": 12648, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8717482406894915, "MicroF1": 0.8717482406894915, "MacroF1": 0.8710221211412438, "Memory in Mb": 107.46908473968506, "Time in s": 16670.526324000002 }, { "step": 13056, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8661815396399847, "MicroF1": 0.8661815396399847, "MacroF1": 0.8651994621744733, "Memory in Mb": 112.71690273284912, "Time in s": 18043.485216 }, { "step": 13464, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8642204560647702, "MicroF1": 0.8642204560647702, "MacroF1": 0.8645487273027374, "Memory in Mb": 116.56386756896973, "Time in s": 19480.298866 }, { "step": 13872, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8619421815298104, "MicroF1": 0.8619421815298104, "MacroF1": 0.862314869215492, "Memory in Mb": 121.52821636199953, "Time in s": 20980.471725 }, { "step": 14280, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.859163806989285, "MicroF1": 0.859163806989285, "MacroF1": 0.8592780138529494, "Memory in Mb": 125.80194187164308, "Time in s": 22534.622977 }, { "step": 14688, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8591952066453326, "MicroF1": 0.8591952066453326, "MacroF1": 0.8604793833246808, "Memory in Mb": 129.6016607284546, "Time in s": 24135.768584 }, { "step": 15096, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8607485922490891, "MicroF1": 0.8607485922490891, "MacroF1": 0.8621609789956539, "Memory in Mb": 132.68816757202148, "Time in s": 25779.863983 }, { "step": 15504, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8604141133974069, "MicroF1": 0.8604141133974069, "MacroF1": 0.8613237595899307, "Memory in Mb": 136.05841445922852, "Time in s": 27480.057181 }, { "step": 15912, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8536861290930803, "MicroF1": 0.8536861290930803, "MacroF1": 0.853192144751886, "Memory in Mb": 141.70578575134277, "Time in s": 29254.423593 }, { "step": 16320, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8493167473497151, "MicroF1": 0.849316747349715, "MacroF1": 0.8496464102754333, "Memory in Mb": 147.49746799468994, "Time in s": 31089.50572 }, { "step": 16728, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.846296407006636, "MicroF1": 0.846296407006636, "MacroF1": 0.8470383589757107, "Memory in Mb": 153.1935510635376, "Time in s": 32973.577156 }, { "step": 17136, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8411438576014006, "MicroF1": 0.8411438576014006, "MacroF1": 0.8410396667771575, "Memory in Mb": 156.28132915496826, "Time in s": 34948.88082 }, { "step": 17544, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8365729920766117, "MicroF1": 0.8365729920766117, "MacroF1": 0.8367907010021001, "Memory in Mb": 161.03080940246582, "Time in s": 36967.519165 }, { "step": 17952, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8355523369171634, "MicroF1": 0.8355523369171634, "MacroF1": 0.8362918425397341, "Memory in Mb": 166.63249397277832, "Time in s": 39016.229589 }, { "step": 18360, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.837572852551882, "MicroF1": 0.8375728525518821, "MacroF1": 0.8385662484273668, "Memory in Mb": 171.47760772705078, "Time in s": 41092.028593 }, { "step": 18768, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8390259498055097, "MicroF1": 0.8390259498055097, "MacroF1": 0.8401126675526959, "Memory in Mb": 175.70373821258545, "Time in s": 43194.947864 }, { "step": 19176, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8376531942633637, "MicroF1": 0.8376531942633637, "MacroF1": 0.838676297522501, "Memory in Mb": 180.87701034545896, "Time in s": 45330.650988 }, { "step": 19584, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8390951335341879, "MicroF1": 0.8390951335341879, "MacroF1": 0.8403338496937821, "Memory in Mb": 185.05438709259036, "Time in s": 47482.84587799999 }, { "step": 19992, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8372767745485469, "MicroF1": 0.8372767745485468, "MacroF1": 0.8385640183306876, "Memory in Mb": 190.1383810043335, "Time in s": 49661.2352 }, { "step": 20400, "track": "Multiclass classification", "model": "AdaBoost", "dataset": "Keystroke", "Accuracy": 0.8347958233246727, "MicroF1": 0.8347958233246727, "MacroF1": 0.8360623278174891, "Memory in Mb": 194.794171333313, "Time in s": 51861.27850099999 }, { "step": 46, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.3111111111111111, "MicroF1": 0.3111111111111111, "MacroF1": 0.2457649726557289, "Memory in Mb": 4.149084091186523, "Time in s": 2.196675 }, { "step": 92, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.4835164835164835, "MicroF1": 0.4835164835164835, "MacroF1": 0.4934752395581889, "Memory in Mb": 4.152299880981445, "Time in s": 7.023639 }, { "step": 138, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.5328467153284672, "MicroF1": 0.5328467153284672, "MacroF1": 0.5528821792646678, "Memory in Mb": 4.15202522277832, "Time in s": 15.046926 }, { "step": 184, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.5956284153005464, "MicroF1": 0.5956284153005464, "MacroF1": 0.6141431648908949, "Memory in Mb": 4.152608871459961, "Time in s": 26.297795 }, { "step": 230, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.62882096069869, "MicroF1": 0.62882096069869, "MacroF1": 0.6441389332893815, "Memory in Mb": 4.151983261108398, "Time in s": 40.50873 }, { "step": 276, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.64, "MicroF1": 0.64, "MacroF1": 0.6559607038460421, "Memory in Mb": 4.152521133422852, "Time in s": 57.698206 }, { "step": 322, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.6666666666666666, "MicroF1": 0.6666666666666666, "MacroF1": 0.6673617488913626, "Memory in Mb": 4.152231216430664, "Time in s": 77.585785 }, { "step": 368, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.6948228882833788, "MicroF1": 0.6948228882833788, "MacroF1": 0.6911959597548878, "Memory in Mb": 4.152448654174805, "Time in s": 100.185488 }, { "step": 414, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.711864406779661, "MicroF1": 0.711864406779661, "MacroF1": 0.7079630503641953, "Memory in Mb": 4.152788162231445, "Time in s": 125.717288 }, { "step": 460, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7124183006535948, "MicroF1": 0.7124183006535948, "MacroF1": 0.7065500352371009, "Memory in Mb": 4.152704238891602, "Time in s": 154.000542 }, { "step": 506, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7207920792079208, "MicroF1": 0.7207920792079208, "MacroF1": 0.7127593158348896, "Memory in Mb": 4.152563095092773, "Time in s": 184.883226 }, { "step": 552, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7259528130671506, "MicroF1": 0.7259528130671506, "MacroF1": 0.7192025503807162, "Memory in Mb": 4.152528762817383, "Time in s": 218.482328 }, { "step": 598, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7319932998324958, "MicroF1": 0.7319932998324957, "MacroF1": 0.7251188986558661, "Memory in Mb": 4.152769088745117, "Time in s": 254.840787 }, { "step": 644, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7309486780715396, "MicroF1": 0.7309486780715396, "MacroF1": 0.7259740406437201, "Memory in Mb": 4.152563095092773, "Time in s": 294.12903800000004 }, { "step": 690, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7358490566037735, "MicroF1": 0.7358490566037735, "MacroF1": 0.7304359912942561, "Memory in Mb": 4.152692794799805, "Time in s": 336.073433 }, { "step": 736, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7374149659863946, "MicroF1": 0.7374149659863947, "MacroF1": 0.733149934717071, "Memory in Mb": 4.152753829956055, "Time in s": 380.701162 }, { "step": 782, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7426376440460948, "MicroF1": 0.7426376440460948, "MacroF1": 0.7385597120510639, "Memory in Mb": 4.152643203735352, "Time in s": 428.175969 }, { "step": 828, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7436517533252721, "MicroF1": 0.7436517533252721, "MacroF1": 0.7412375783772316, "Memory in Mb": 4.152631759643555, "Time in s": 478.460063 }, { "step": 874, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7491408934707904, "MicroF1": 0.7491408934707904, "MacroF1": 0.7454343548790067, "Memory in Mb": 4.153181076049805, "Time in s": 531.417765 }, { "step": 920, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7486398258977149, "MicroF1": 0.7486398258977149, "MacroF1": 0.7441307384051415, "Memory in Mb": 4.153326034545898, "Time in s": 587.1362770000001 }, { "step": 966, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7492227979274612, "MicroF1": 0.749222797927461, "MacroF1": 0.7439306216964366, "Memory in Mb": 4.153120040893555, "Time in s": 645.6842 }, { "step": 1012, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7487636003956478, "MicroF1": 0.7487636003956478, "MacroF1": 0.7437900284473965, "Memory in Mb": 4.153234481811523, "Time in s": 707.105172 }, { "step": 1058, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.750236518448439, "MicroF1": 0.7502365184484389, "MacroF1": 0.7448138061687654, "Memory in Mb": 4.153268814086914, "Time in s": 771.2868930000001 }, { "step": 1104, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7524932003626473, "MicroF1": 0.7524932003626473, "MacroF1": 0.7468314646869904, "Memory in Mb": 4.153234481811523, "Time in s": 838.222518 }, { "step": 1150, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7554395126196692, "MicroF1": 0.7554395126196692, "MacroF1": 0.7493227137357602, "Memory in Mb": 4.153413772583008, "Time in s": 907.556087 }, { "step": 1196, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7581589958158996, "MicroF1": 0.7581589958158996, "MacroF1": 0.7527652773681007, "Memory in Mb": 4.153318405151367, "Time in s": 979.579718 }, { "step": 1242, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7574536663980661, "MicroF1": 0.7574536663980661, "MacroF1": 0.7525915384194216, "Memory in Mb": 4.153432846069336, "Time in s": 1054.216781 }, { "step": 1288, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7622377622377622, "MicroF1": 0.7622377622377621, "MacroF1": 0.7563448085202398, "Memory in Mb": 4.153615951538086, "Time in s": 1131.5718310000002 }, { "step": 1334, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7621905476369092, "MicroF1": 0.7621905476369092, "MacroF1": 0.7566636999776912, "Memory in Mb": 4.153776168823242, "Time in s": 1211.5912470000003 }, { "step": 1380, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7635968092820885, "MicroF1": 0.7635968092820886, "MacroF1": 0.7587252257765656, "Memory in Mb": 4.153825759887695, "Time in s": 1294.4019940000005 }, { "step": 1426, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7663157894736842, "MicroF1": 0.7663157894736842, "MacroF1": 0.7609139797315134, "Memory in Mb": 4.153848648071289, "Time in s": 1379.8910190000004 }, { "step": 1472, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7709041468388851, "MicroF1": 0.7709041468388851, "MacroF1": 0.7637689949207689, "Memory in Mb": 4.153989791870117, "Time in s": 1467.9946540000003 }, { "step": 1518, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7719182597231378, "MicroF1": 0.7719182597231378, "MacroF1": 0.7639714255563932, "Memory in Mb": 4.154367446899414, "Time in s": 1558.8129900000004 }, { "step": 1564, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7722328854766475, "MicroF1": 0.7722328854766475, "MacroF1": 0.7650721335080709, "Memory in Mb": 4.154550552368164, "Time in s": 1652.2028900000005 }, { "step": 1610, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7725295214418894, "MicroF1": 0.7725295214418892, "MacroF1": 0.764505787280341, "Memory in Mb": 4.154642105102539, "Time in s": 1748.3782850000002 }, { "step": 1656, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7716012084592145, "MicroF1": 0.7716012084592145, "MacroF1": 0.7634170612719108, "Memory in Mb": 4.15452766418457, "Time in s": 1847.3163560000005 }, { "step": 1702, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7713109935332157, "MicroF1": 0.7713109935332157, "MacroF1": 0.7652815676598499, "Memory in Mb": 4.154825210571289, "Time in s": 1948.702894 }, { "step": 1748, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.77389811104751, "MicroF1": 0.77389811104751, "MacroF1": 0.7674409436090757, "Memory in Mb": 4.155008316040039, "Time in s": 2052.533374 }, { "step": 1794, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7752370329057445, "MicroF1": 0.7752370329057446, "MacroF1": 0.7674318582149376, "Memory in Mb": 4.155046463012695, "Time in s": 2159.053176 }, { "step": 1840, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7765089722675367, "MicroF1": 0.7765089722675368, "MacroF1": 0.7688731808749575, "Memory in Mb": 4.154977798461914, "Time in s": 2268.233507 }, { "step": 1886, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7750663129973475, "MicroF1": 0.7750663129973475, "MacroF1": 0.7678921362145585, "Memory in Mb": 4.154905319213867, "Time in s": 2379.837789 }, { "step": 1932, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7752459865354738, "MicroF1": 0.7752459865354739, "MacroF1": 0.7671636716269125, "Memory in Mb": 4.155000686645508, "Time in s": 2494.085284 }, { "step": 1978, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7759231158320687, "MicroF1": 0.7759231158320687, "MacroF1": 0.7670573130332384, "Memory in Mb": 4.154901504516602, "Time in s": 2611.052254 }, { "step": 2024, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7775580820563519, "MicroF1": 0.7775580820563519, "MacroF1": 0.7671264358471986, "Memory in Mb": 4.154878616333008, "Time in s": 2730.562491 }, { "step": 2070, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.77670372160464, "MicroF1": 0.7767037216046399, "MacroF1": 0.7665050383810529, "Memory in Mb": 4.15495491027832, "Time in s": 2852.439553 }, { "step": 2116, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7773049645390071, "MicroF1": 0.7773049645390071, "MacroF1": 0.766340416614934, "Memory in Mb": 4.15495491027832, "Time in s": 2976.99213 }, { "step": 2162, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7783433595557612, "MicroF1": 0.7783433595557612, "MacroF1": 0.766965714748886, "Memory in Mb": 4.155027389526367, "Time in s": 3104.012504 }, { "step": 2208, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.780244676030811, "MicroF1": 0.780244676030811, "MacroF1": 0.7678552364681828, "Memory in Mb": 4.155023574829102, "Time in s": 3233.660984 }, { "step": 2254, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7776298268974701, "MicroF1": 0.7776298268974701, "MacroF1": 0.7652407320979201, "Memory in Mb": 4.154973983764648, "Time in s": 3365.640643 }, { "step": 2300, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7768595041322314, "MicroF1": 0.7768595041322314, "MacroF1": 0.764461061100325, "Memory in Mb": 4.15504264831543, "Time in s": 3499.962334 }, { "step": 2310, "track": "Multiclass classification", "model": "Bagging", "dataset": "ImageSegments", "Accuracy": 0.7769597228237333, "MicroF1": 0.7769597228237333, "MacroF1": 0.7645642360301897, "Memory in Mb": 4.155065536499023, "Time in s": 3634.881072 }, { "step": 1056, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6360189573459716, "MicroF1": 0.6360189573459716, "MacroF1": 0.5970323052762561, "Memory in Mb": 6.533428192138672, "Time in s": 93.097088 }, { "step": 2112, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.62482235907153, "MicroF1": 0.62482235907153, "MacroF1": 0.5890580890213498, "Memory in Mb": 6.533924102783203, "Time in s": 264.682132 }, { "step": 3168, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6157246605620461, "MicroF1": 0.6157246605620461, "MacroF1": 0.5802533923244892, "Memory in Mb": 6.534633636474609, "Time in s": 504.284209 }, { "step": 4224, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6107032914989344, "MicroF1": 0.6107032914989344, "MacroF1": 0.5748501357120321, "Memory in Mb": 6.535015106201172, "Time in s": 804.5259470000001 }, { "step": 5280, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.614889183557492, "MicroF1": 0.614889183557492, "MacroF1": 0.5777842549225517, "Memory in Mb": 6.535823822021484, "Time in s": 1159.582019 }, { "step": 6336, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.608997632202052, "MicroF1": 0.608997632202052, "MacroF1": 0.5733157350789625, "Memory in Mb": 6.535648345947266, "Time in s": 1564.000203 }, { "step": 7392, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6057367068055743, "MicroF1": 0.6057367068055743, "MacroF1": 0.5703382690867537, "Memory in Mb": 6.535068511962891, "Time in s": 2016.310233 }, { "step": 8448, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6069610512608027, "MicroF1": 0.6069610512608027, "MacroF1": 0.5711427916016896, "Memory in Mb": 6.534946441650391, "Time in s": 2516.339397 }, { "step": 9504, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6039145532989583, "MicroF1": 0.6039145532989583, "MacroF1": 0.5678102867297489, "Memory in Mb": 6.535068511962891, "Time in s": 3064.243813 }, { "step": 10560, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6034662373330808, "MicroF1": 0.6034662373330808, "MacroF1": 0.567425153452482, "Memory in Mb": 6.535427093505859, "Time in s": 3659.768381 }, { "step": 11616, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6005165733964701, "MicroF1": 0.6005165733964701, "MacroF1": 0.56512832395729, "Memory in Mb": 6.535404205322266, "Time in s": 4303.846419 }, { "step": 12672, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6031883829216321, "MicroF1": 0.6031883829216321, "MacroF1": 0.5703828979306639, "Memory in Mb": 6.535358428955078, "Time in s": 4997.310473 }, { "step": 13728, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6147009543235958, "MicroF1": 0.6147009543235958, "MacroF1": 0.5955104002005771, "Memory in Mb": 6.534030914306641, "Time in s": 5738.022631999999 }, { "step": 14784, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6051545694378678, "MicroF1": 0.6051545694378678, "MacroF1": 0.586271708420286, "Memory in Mb": 6.533008575439453, "Time in s": 6524.316427 }, { "step": 15840, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5703642906749163, "MicroF1": 0.5703642906749163, "MacroF1": 0.5530031721301686, "Memory in Mb": 6.534244537353516, "Time in s": 7355.370967999999 }, { "step": 16896, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5440662918023084, "MicroF1": 0.5440662918023084, "MacroF1": 0.5274181049148582, "Memory in Mb": 6.532741546630859, "Time in s": 8230.882624 }, { "step": 17952, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.524650437301543, "MicroF1": 0.524650437301543, "MacroF1": 0.5077439094080566, "Memory in Mb": 6.533657073974609, "Time in s": 9149.482306 }, { "step": 19008, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5142842110801283, "MicroF1": 0.5142842110801283, "MacroF1": 0.4945495171544722, "Memory in Mb": 5.423342704772949, "Time in s": 10110.1367 }, { "step": 20064, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5202611772915317, "MicroF1": 0.5202611772915317, "MacroF1": 0.499632175624185, "Memory in Mb": 13.463048934936523, "Time in s": 11121.939621 }, { "step": 21120, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5284814621904447, "MicroF1": 0.5284814621904447, "MacroF1": 0.5082299437323158, "Memory in Mb": 14.233846664428713, "Time in s": 12202.11771 }, { "step": 22176, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5344757609921083, "MicroF1": 0.5344757609921083, "MacroF1": 0.5148729059414189, "Memory in Mb": 14.772774696350098, "Time in s": 13344.394485 }, { "step": 23232, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5430674529723215, "MicroF1": 0.5430674529723215, "MacroF1": 0.5233933209280776, "Memory in Mb": 14.684733390808104, "Time in s": 14542.607494 }, { "step": 24288, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5502120475974801, "MicroF1": 0.5502120475974801, "MacroF1": 0.5298443248135049, "Memory in Mb": 16.20911407470703, "Time in s": 15791.070918 }, { "step": 25344, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5564061081955569, "MicroF1": 0.5564061081955569, "MacroF1": 0.5355525016331893, "Memory in Mb": 16.199478149414062, "Time in s": 17093.843057 }, { "step": 26400, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.561460661388689, "MicroF1": 0.561460661388689, "MacroF1": 0.5398397773012414, "Memory in Mb": 16.192718505859375, "Time in s": 18441.382026 }, { "step": 27456, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.564742305590967, "MicroF1": 0.564742305590967, "MacroF1": 0.5421523628031605, "Memory in Mb": 15.229331016540527, "Time in s": 19838.570208 }, { "step": 28512, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5680614499666795, "MicroF1": 0.5680614499666795, "MacroF1": 0.5472893783055924, "Memory in Mb": 13.71937370300293, "Time in s": 21280.868604 }, { "step": 29568, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5701288598775662, "MicroF1": 0.5701288598775662, "MacroF1": 0.55295508639855, "Memory in Mb": 11.343052864074709, "Time in s": 22768.358846 }, { "step": 30624, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5724128922705156, "MicroF1": 0.5724128922705156, "MacroF1": 0.5585792537754973, "Memory in Mb": 9.387857437133787, "Time in s": 24294.822849 }, { "step": 31680, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5749865841724802, "MicroF1": 0.5749865841724802, "MacroF1": 0.5636037623129485, "Memory in Mb": 9.38664436340332, "Time in s": 25857.719223 }, { "step": 32736, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5781884832747823, "MicroF1": 0.5781884832747823, "MacroF1": 0.5684564968293649, "Memory in Mb": 9.385660171508787, "Time in s": 27456.12944 }, { "step": 33792, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.575656239827173, "MicroF1": 0.575656239827173, "MacroF1": 0.5663415557568727, "Memory in Mb": 7.860757827758789, "Time in s": 29092.739018 }, { "step": 34848, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5754584325766924, "MicroF1": 0.5754584325766924, "MacroF1": 0.565994999425249, "Memory in Mb": 7.205549240112305, "Time in s": 30762.023764 }, { "step": 35904, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5763863743976827, "MicroF1": 0.5763863743976827, "MacroF1": 0.5665127709334143, "Memory in Mb": 6.54947566986084, "Time in s": 32461.363070000003 }, { "step": 36960, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5758813820720258, "MicroF1": 0.5758813820720258, "MacroF1": 0.56571927622701, "Memory in Mb": 6.547377586364746, "Time in s": 34189.07998 }, { "step": 38016, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5767460213073786, "MicroF1": 0.5767460213073786, "MacroF1": 0.5661110063916132, "Memory in Mb": 6.546515464782715, "Time in s": 35945.284935 }, { "step": 39072, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5764633615725219, "MicroF1": 0.5764633615725219, "MacroF1": 0.5659285794545608, "Memory in Mb": 6.543356895446777, "Time in s": 37730.818682000005 }, { "step": 40128, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.573454282652578, "MicroF1": 0.573454282652578, "MacroF1": 0.5636611811263741, "Memory in Mb": 8.510072708129883, "Time in s": 39542.33547700001 }, { "step": 41184, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5726391957846685, "MicroF1": 0.5726391957846685, "MacroF1": 0.5633960246210544, "Memory in Mb": 8.712862014770508, "Time in s": 41378.34519600001 }, { "step": 42240, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5723146854802433, "MicroF1": 0.5723146854802433, "MacroF1": 0.5635786987292998, "Memory in Mb": 10.13754653930664, "Time in s": 43237.00688100001 }, { "step": 43296, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5717981291142165, "MicroF1": 0.5717981291142165, "MacroF1": 0.5635967907133216, "Memory in Mb": 10.13637924194336, "Time in s": 45117.76335600001 }, { "step": 44352, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.571103244571712, "MicroF1": 0.571103244571712, "MacroF1": 0.5633625241299441, "Memory in Mb": 10.135028839111328, "Time in s": 47020.66134100001 }, { "step": 45408, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5712335102517233, "MicroF1": 0.5712335102517233, "MacroF1": 0.563808836162261, "Memory in Mb": 11.334146499633787, "Time in s": 48947.97157600001 }, { "step": 46464, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5728213847577642, "MicroF1": 0.5728213847577642, "MacroF1": 0.5658781423773395, "Memory in Mb": 12.350201606750488, "Time in s": 50897.74209700001 }, { "step": 47520, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.576863991245607, "MicroF1": 0.576863991245607, "MacroF1": 0.5703778478941884, "Memory in Mb": 16.125893592834473, "Time in s": 52890.49897200001 }, { "step": 48576, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5828512609366958, "MicroF1": 0.5828512609366958, "MacroF1": 0.5764029561430954, "Memory in Mb": 15.266244888305664, "Time in s": 54904.91240000001 }, { "step": 49632, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5890270194031956, "MicroF1": 0.5890270194031956, "MacroF1": 0.5823661991476956, "Memory in Mb": 14.839654922485352, "Time in s": 56940.07330000001 }, { "step": 50688, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.5947087024286306, "MicroF1": 0.5947087024286306, "MacroF1": 0.5876086024291545, "Memory in Mb": 12.465810775756836, "Time in s": 58994.29364000001 }, { "step": 51744, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.600718937827339, "MicroF1": 0.600718937827339, "MacroF1": 0.5930357853224563, "Memory in Mb": 11.884730339050291, "Time in s": 61065.77177200001 }, { "step": 52800, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6060342051932802, "MicroF1": 0.6060342051932802, "MacroF1": 0.5982060206393416, "Memory in Mb": 3.691446304321289, "Time in s": 63151.215841000005 }, { "step": 52848, "track": "Multiclass classification", "model": "Bagging", "dataset": "Insects", "Accuracy": 0.6063920373909588, "MicroF1": 0.6063920373909588, "MacroF1": 0.5985419438128344, "Memory in Mb": 3.691621780395508, "Time in s": 65236.99615100001 }, { "step": 408, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.9828009828009828, "MicroF1": 0.9828009828009828, "MacroF1": 0.6067632850241546, "Memory in Mb": 2.1448841094970703, "Time in s": 5.867596 }, { "step": 816, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.943558282208589, "MicroF1": 0.943558282208589, "MacroF1": 0.7669956277713079, "Memory in Mb": 3.0916757583618164, "Time in s": 25.808269 }, { "step": 1224, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8912510220768601, "MicroF1": 0.8912510220768601, "MacroF1": 0.8617021305177773, "Memory in Mb": 4.035944938659668, "Time in s": 63.939426 }, { "step": 1632, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.9031269160024524, "MicroF1": 0.9031269160024524, "MacroF1": 0.8868998230762758, "Memory in Mb": 4.988290786743164, "Time in s": 125.34339 }, { "step": 2040, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.898970083374203, "MicroF1": 0.898970083374203, "MacroF1": 0.888705938214812, "Memory in Mb": 6.037667274475098, "Time in s": 214.307845 }, { "step": 2448, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8594196975888844, "MicroF1": 0.8594196975888844, "MacroF1": 0.8547805855679916, "Memory in Mb": 6.993380546569824, "Time in s": 335.016386 }, { "step": 2856, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8651488616462347, "MicroF1": 0.8651488616462347, "MacroF1": 0.8483773016417727, "Memory in Mb": 7.939821243286133, "Time in s": 488.1215580000001 }, { "step": 3264, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8553478394115844, "MicroF1": 0.8553478394115844, "MacroF1": 0.8302147847543373, "Memory in Mb": 8.885003089904785, "Time in s": 675.394352 }, { "step": 3672, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8452737673658404, "MicroF1": 0.8452737673658404, "MacroF1": 0.8411086163638233, "Memory in Mb": 9.830622673034668, "Time in s": 899.024814 }, { "step": 4080, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8374601618043638, "MicroF1": 0.8374601618043638, "MacroF1": 0.8238000521910981, "Memory in Mb": 11.003908157348633, "Time in s": 1161.3046 }, { "step": 4488, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8250501448629374, "MicroF1": 0.8250501448629373, "MacroF1": 0.8343531144302688, "Memory in Mb": 11.974610328674316, "Time in s": 1461.738376 }, { "step": 4896, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8232890704800817, "MicroF1": 0.8232890704800817, "MacroF1": 0.8292209535545839, "Memory in Mb": 12.919659614562988, "Time in s": 1801.820426 }, { "step": 5304, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.8199132566471808, "MicroF1": 0.819913256647181, "MacroF1": 0.8044565992905442, "Memory in Mb": 13.86521053314209, "Time in s": 2181.861898 }, { "step": 5712, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7998599194536858, "MicroF1": 0.7998599194536857, "MacroF1": 0.8029484507582976, "Memory in Mb": 14.811628341674805, "Time in s": 2601.779179 }, { "step": 6120, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7970256577872201, "MicroF1": 0.7970256577872201, "MacroF1": 0.7783451709211457, "Memory in Mb": 15.75713062286377, "Time in s": 3063.5971010000003 }, { "step": 6528, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7720239007200858, "MicroF1": 0.7720239007200858, "MacroF1": 0.767005590841987, "Memory in Mb": 16.704151153564453, "Time in s": 3570.6766780000003 }, { "step": 6936, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7645277577505407, "MicroF1": 0.7645277577505407, "MacroF1": 0.766187831914561, "Memory in Mb": 17.649503707885742, "Time in s": 4126.519897 }, { "step": 7344, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.773389622769985, "MicroF1": 0.7733896227699851, "MacroF1": 0.770832075885354, "Memory in Mb": 18.61162567138672, "Time in s": 4733.5217410000005 }, { "step": 7752, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7737066185008385, "MicroF1": 0.7737066185008385, "MacroF1": 0.7718493223486268, "Memory in Mb": 19.557814598083496, "Time in s": 5395.069721000001 }, { "step": 8160, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7765657556073048, "MicroF1": 0.7765657556073047, "MacroF1": 0.7724710929560354, "Memory in Mb": 20.503721237182617, "Time in s": 6113.943535 }, { "step": 8568, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7730827594257033, "MicroF1": 0.7730827594257033, "MacroF1": 0.7727491763630034, "Memory in Mb": 21.88267517089844, "Time in s": 6890.839823 }, { "step": 8976, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7714763231197772, "MicroF1": 0.7714763231197772, "MacroF1": 0.7717207236627096, "Memory in Mb": 22.87528133392334, "Time in s": 7728.212391 }, { "step": 9384, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7702227432590856, "MicroF1": 0.7702227432590856, "MacroF1": 0.7694267539223918, "Memory in Mb": 23.822596549987797, "Time in s": 8626.275614 }, { "step": 9792, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7656010621999796, "MicroF1": 0.7656010621999795, "MacroF1": 0.7644081311179032, "Memory in Mb": 24.768078804016117, "Time in s": 9586.24664 }, { "step": 10200, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.757623296401608, "MicroF1": 0.757623296401608, "MacroF1": 0.749720417225094, "Memory in Mb": 25.71299648284912, "Time in s": 10618.940127 }, { "step": 10608, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.737154709154332, "MicroF1": 0.737154709154332, "MacroF1": 0.7245707699101513, "Memory in Mb": 26.660439491271973, "Time in s": 11726.561153 }, { "step": 11016, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.729822968679074, "MicroF1": 0.7298229686790739, "MacroF1": 0.7256689004292383, "Memory in Mb": 27.605186462402344, "Time in s": 12907.41343 }, { "step": 11424, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7229274271207213, "MicroF1": 0.7229274271207213, "MacroF1": 0.7092514304350318, "Memory in Mb": 28.551199913024902, "Time in s": 14153.769988 }, { "step": 11832, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7133801031189249, "MicroF1": 0.7133801031189249, "MacroF1": 0.7054771135814562, "Memory in Mb": 29.4963436126709, "Time in s": 15465.906612 }, { "step": 12240, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7177874009314487, "MicroF1": 0.7177874009314487, "MacroF1": 0.7138351093258007, "Memory in Mb": 30.441871643066406, "Time in s": 16835.329364 }, { "step": 12648, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7147149521625682, "MicroF1": 0.7147149521625682, "MacroF1": 0.7065885995198201, "Memory in Mb": 31.388431549072266, "Time in s": 18265.757575 }, { "step": 13056, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7031788586748372, "MicroF1": 0.7031788586748372, "MacroF1": 0.6954173783902821, "Memory in Mb": 32.33424186706543, "Time in s": 19760.458564 }, { "step": 13464, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7011067369828419, "MicroF1": 0.7011067369828419, "MacroF1": 0.6966368809795416, "Memory in Mb": 33.27959156036377, "Time in s": 21319.158047 }, { "step": 13872, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7007425564126595, "MicroF1": 0.7007425564126595, "MacroF1": 0.6971102154727419, "Memory in Mb": 34.22630214691162, "Time in s": 22941.129728 }, { "step": 14280, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6961972126899643, "MicroF1": 0.6961972126899643, "MacroF1": 0.691133802747568, "Memory in Mb": 35.17108726501465, "Time in s": 24623.129677 }, { "step": 14688, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.698781235105876, "MicroF1": 0.698781235105876, "MacroF1": 0.696592906911097, "Memory in Mb": 36.11711597442627, "Time in s": 26362.470984 }, { "step": 15096, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7048029148724744, "MicroF1": 0.7048029148724744, "MacroF1": 0.702773358939844, "Memory in Mb": 37.0643196105957, "Time in s": 28156.052692 }, { "step": 15504, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.7047668193252918, "MicroF1": 0.7047668193252918, "MacroF1": 0.7013012225519919, "Memory in Mb": 38.00920104980469, "Time in s": 30004.434818 }, { "step": 15912, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6956822324178241, "MicroF1": 0.6956822324178241, "MacroF1": 0.6887843659114408, "Memory in Mb": 38.955204010009766, "Time in s": 31904.325566000003 }, { "step": 16320, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6869906244255163, "MicroF1": 0.6869906244255163, "MacroF1": 0.6817298949676788, "Memory in Mb": 39.901418685913086, "Time in s": 33880.147234000004 }, { "step": 16728, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6840437615830693, "MicroF1": 0.6840437615830693, "MacroF1": 0.6809878840610977, "Memory in Mb": 40.84670162200928, "Time in s": 35894.19480500001 }, { "step": 17136, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6798949518529326, "MicroF1": 0.6798949518529326, "MacroF1": 0.6760668667678135, "Memory in Mb": 42.678324699401855, "Time in s": 37945.35177200001 }, { "step": 17544, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6725759562218548, "MicroF1": 0.6725759562218548, "MacroF1": 0.6693298574086026, "Memory in Mb": 43.72208595275879, "Time in s": 40033.19473500001 }, { "step": 17952, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6715503314578575, "MicroF1": 0.6715503314578575, "MacroF1": 0.6700615486077944, "Memory in Mb": 44.66869449615479, "Time in s": 42156.41544100001 }, { "step": 18360, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6768887194291628, "MicroF1": 0.6768887194291628, "MacroF1": 0.6760264883444682, "Memory in Mb": 45.61451721191406, "Time in s": 44306.462280000014 }, { "step": 18768, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6818884211648105, "MicroF1": 0.6818884211648105, "MacroF1": 0.6814185274246665, "Memory in Mb": 46.56109237670898, "Time in s": 46484.07667300002 }, { "step": 19176, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6739504563233377, "MicroF1": 0.6739504563233377, "MacroF1": 0.6724064481498903, "Memory in Mb": 47.50611400604248, "Time in s": 48682.185033000016 }, { "step": 19584, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.677883878874534, "MicroF1": 0.677883878874534, "MacroF1": 0.6774885006147249, "Memory in Mb": 48.45180988311768, "Time in s": 50904.928535000014 }, { "step": 19992, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6733530088539843, "MicroF1": 0.6733530088539843, "MacroF1": 0.6729949515014169, "Memory in Mb": 49.39821243286133, "Time in s": 53145.742009000016 }, { "step": 20400, "track": "Multiclass classification", "model": "Bagging", "dataset": "Keystroke", "Accuracy": 0.6697387126819943, "MicroF1": 0.6697387126819943, "MacroF1": 0.6699810213452306, "Memory in Mb": 50.34487438201904, "Time in s": 55411.38251600001 }, { "step": 46, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.3777777777777777, "MicroF1": 0.3777777777777777, "MacroF1": 0.2811210847975554, "Memory in Mb": 4.09740161895752, "Time in s": 6.997987 }, { "step": 92, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.5164835164835165, "MicroF1": 0.5164835164835165, "MacroF1": 0.5316649744849407, "Memory in Mb": 4.097981452941895, "Time in s": 22.017115 }, { "step": 138, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.5547445255474452, "MicroF1": 0.5547445255474452, "MacroF1": 0.5804654781117263, "Memory in Mb": 4.0981035232543945, "Time in s": 44.610384 }, { "step": 184, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.6174863387978142, "MicroF1": 0.6174863387978142, "MacroF1": 0.6394923756219437, "Memory in Mb": 4.098713874816895, "Time in s": 74.61421299999999 }, { "step": 230, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.6506550218340611, "MicroF1": 0.6506550218340611, "MacroF1": 0.66859135700569, "Memory in Mb": 4.098713874816895, "Time in s": 111.653321 }, { "step": 276, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.6618181818181819, "MicroF1": 0.6618181818181819, "MacroF1": 0.6795855359270878, "Memory in Mb": 4.098832130432129, "Time in s": 156.076644 }, { "step": 322, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.6853582554517134, "MicroF1": 0.6853582554517134, "MacroF1": 0.6872635633687633, "Memory in Mb": 4.099373817443848, "Time in s": 207.574915 }, { "step": 368, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7111716621253406, "MicroF1": 0.7111716621253404, "MacroF1": 0.7098417316927395, "Memory in Mb": 4.099347114562988, "Time in s": 266.341739 }, { "step": 414, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7215496368038741, "MicroF1": 0.7215496368038742, "MacroF1": 0.7201557312728714, "Memory in Mb": 4.09926700592041, "Time in s": 332.356571 }, { "step": 460, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7211328976034859, "MicroF1": 0.721132897603486, "MacroF1": 0.7175330036146421, "Memory in Mb": 4.099320411682129, "Time in s": 405.380301 }, { "step": 506, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7287128712871287, "MicroF1": 0.7287128712871287, "MacroF1": 0.7233455022590812, "Memory in Mb": 4.099320411682129, "Time in s": 485.520305 }, { "step": 552, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7295825771324864, "MicroF1": 0.7295825771324864, "MacroF1": 0.7255599965917697, "Memory in Mb": 4.099240303039551, "Time in s": 572.983507 }, { "step": 598, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7353433835845896, "MicroF1": 0.7353433835845896, "MacroF1": 0.7308494254186014, "Memory in Mb": 4.0992631912231445, "Time in s": 667.526521 }, { "step": 644, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7340590979782271, "MicroF1": 0.7340590979782271, "MacroF1": 0.7314183982762247, "Memory in Mb": 4.099823951721191, "Time in s": 768.914228 }, { "step": 690, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.737300435413643, "MicroF1": 0.737300435413643, "MacroF1": 0.7343909641298695, "Memory in Mb": 4.099823951721191, "Time in s": 877.069835 }, { "step": 736, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7387755102040816, "MicroF1": 0.7387755102040816, "MacroF1": 0.7369557659594496, "Memory in Mb": 4.099850654602051, "Time in s": 992.190131 }, { "step": 782, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7439180537772087, "MicroF1": 0.7439180537772088, "MacroF1": 0.7419020281650245, "Memory in Mb": 4.099850654602051, "Time in s": 1114.103609 }, { "step": 828, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7436517533252721, "MicroF1": 0.7436517533252721, "MacroF1": 0.7432199627682998, "Memory in Mb": 4.099850654602051, "Time in s": 1242.576589 }, { "step": 874, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7502863688430699, "MicroF1": 0.7502863688430699, "MacroF1": 0.7482089866208982, "Memory in Mb": 4.099850654602051, "Time in s": 1377.530874 }, { "step": 920, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.750816104461371, "MicroF1": 0.750816104461371, "MacroF1": 0.7477650187313974, "Memory in Mb": 4.099823951721191, "Time in s": 1518.374517 }, { "step": 966, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7512953367875648, "MicroF1": 0.7512953367875648, "MacroF1": 0.747322646811651, "Memory in Mb": 4.099823951721191, "Time in s": 1664.895359 }, { "step": 1012, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7507418397626113, "MicroF1": 0.7507418397626113, "MacroF1": 0.7469783619055548, "Memory in Mb": 4.099823951721191, "Time in s": 1817.198797 }, { "step": 1058, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7530747398297067, "MicroF1": 0.7530747398297066, "MacroF1": 0.7482363934596314, "Memory in Mb": 4.099823951721191, "Time in s": 1975.112421 }, { "step": 1104, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7552130553037172, "MicroF1": 0.7552130553037172, "MacroF1": 0.750118495060715, "Memory in Mb": 4.0998735427856445, "Time in s": 2138.658016 }, { "step": 1150, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7571801566579635, "MicroF1": 0.7571801566579635, "MacroF1": 0.7516199800653577, "Memory in Mb": 4.0998735427856445, "Time in s": 2307.825702 }, { "step": 1196, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7598326359832636, "MicroF1": 0.7598326359832636, "MacroF1": 0.7548841797367702, "Memory in Mb": 4.0998735427856445, "Time in s": 2482.820129 }, { "step": 1242, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7598710717163578, "MicroF1": 0.7598710717163577, "MacroF1": 0.7553301531902636, "Memory in Mb": 4.0998735427856445, "Time in s": 2663.447895 }, { "step": 1288, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7645687645687645, "MicroF1": 0.7645687645687647, "MacroF1": 0.7590078532621816, "Memory in Mb": 4.1004838943481445, "Time in s": 2849.419913 }, { "step": 1334, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7644411102775694, "MicroF1": 0.7644411102775694, "MacroF1": 0.7591993978414527, "Memory in Mb": 4.100506782531738, "Time in s": 3040.9965970000003 }, { "step": 1380, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7650471356055112, "MicroF1": 0.7650471356055112, "MacroF1": 0.7601575050520947, "Memory in Mb": 4.100506782531738, "Time in s": 3238.5768190000003 }, { "step": 1426, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7670175438596492, "MicroF1": 0.7670175438596492, "MacroF1": 0.7613339877221927, "Memory in Mb": 4.100506782531738, "Time in s": 3441.4807240000005 }, { "step": 1472, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7715839564921821, "MicroF1": 0.7715839564921821, "MacroF1": 0.7641396475218201, "Memory in Mb": 4.100552558898926, "Time in s": 3649.5015090000006 }, { "step": 1518, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7732366512854317, "MicroF1": 0.7732366512854317, "MacroF1": 0.7648275341801108, "Memory in Mb": 4.100552558898926, "Time in s": 3862.69427 }, { "step": 1564, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7735124760076776, "MicroF1": 0.7735124760076776, "MacroF1": 0.7657569341108763, "Memory in Mb": 4.100552558898926, "Time in s": 4080.891056 }, { "step": 1610, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7737725295214419, "MicroF1": 0.7737725295214419, "MacroF1": 0.7651494083475014, "Memory in Mb": 4.10057544708252, "Time in s": 4304.577590000001 }, { "step": 1656, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7740181268882175, "MicroF1": 0.7740181268882175, "MacroF1": 0.7654813489818475, "Memory in Mb": 4.100529670715332, "Time in s": 4533.710142000001 }, { "step": 1702, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7730746619635509, "MicroF1": 0.7730746619635509, "MacroF1": 0.766493027961906, "Memory in Mb": 4.100529670715332, "Time in s": 4767.793233000001 }, { "step": 1748, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7756153405838581, "MicroF1": 0.7756153405838581, "MacroF1": 0.7686072256536652, "Memory in Mb": 4.100529670715332, "Time in s": 5007.029776000001 }, { "step": 1794, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7769102063580591, "MicroF1": 0.7769102063580591, "MacroF1": 0.7685414235990152, "Memory in Mb": 4.100502967834473, "Time in s": 5251.440116000002 }, { "step": 1840, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7781402936378466, "MicroF1": 0.7781402936378466, "MacroF1": 0.7699957723931323, "Memory in Mb": 4.100502967834473, "Time in s": 5500.964415000001 }, { "step": 1886, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7761273209549071, "MicroF1": 0.7761273209549071, "MacroF1": 0.7684985598909853, "Memory in Mb": 4.100502967834473, "Time in s": 5755.503987000001 }, { "step": 1932, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7762817193164163, "MicroF1": 0.7762817193164163, "MacroF1": 0.7677434418046419, "Memory in Mb": 4.100502967834473, "Time in s": 6014.862306000001 }, { "step": 1978, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7774405665149215, "MicroF1": 0.7774405665149215, "MacroF1": 0.7684788817649146, "Memory in Mb": 4.100502967834473, "Time in s": 6279.121569000001 }, { "step": 2024, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7790410281759763, "MicroF1": 0.7790410281759763, "MacroF1": 0.7689103339153599, "Memory in Mb": 4.100502967834473, "Time in s": 6548.278113000001 }, { "step": 2070, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7786370227162881, "MicroF1": 0.7786370227162881, "MacroF1": 0.7686288077529282, "Memory in Mb": 4.100502967834473, "Time in s": 6822.363214000001 }, { "step": 2116, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7791962174940898, "MicroF1": 0.7791962174940898, "MacroF1": 0.768391950800897, "Memory in Mb": 4.100502967834473, "Time in s": 7101.096348000001 }, { "step": 2162, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7801943544655252, "MicroF1": 0.7801943544655253, "MacroF1": 0.768962628827985, "Memory in Mb": 4.100525856018066, "Time in s": 7384.333285000001 }, { "step": 2208, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7820570910738559, "MicroF1": 0.7820570910738559, "MacroF1": 0.7698068761587117, "Memory in Mb": 4.100499153137207, "Time in s": 7672.298476000001 }, { "step": 2254, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7789613848202397, "MicroF1": 0.7789613848202397, "MacroF1": 0.7667173742344939, "Memory in Mb": 4.100499153137207, "Time in s": 7965.117559000001 }, { "step": 2300, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7781644193127447, "MicroF1": 0.7781644193127447, "MacroF1": 0.7659138381656089, "Memory in Mb": 4.100499153137207, "Time in s": 8262.647904000001 }, { "step": 2310, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "ImageSegments", "Accuracy": 0.7782589865742746, "MicroF1": 0.7782589865742745, "MacroF1": 0.7660163657276376, "Memory in Mb": 4.100499153137207, "Time in s": 8561.303246000001 }, { "step": 1056, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6218009478672986, "MicroF1": 0.6218009478672986, "MacroF1": 0.5857016652718549, "Memory in Mb": 6.471495628356934, "Time in s": 220.837673 }, { "step": 2112, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6196115585030791, "MicroF1": 0.6196115585030791, "MacroF1": 0.5856756432415233, "Memory in Mb": 10.302834510803224, "Time in s": 598.297395 }, { "step": 3168, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.628986422481844, "MicroF1": 0.628986422481844, "MacroF1": 0.5949930595607559, "Memory in Mb": 19.024110794067383, "Time in s": 1103.516793 }, { "step": 4224, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6294103717736207, "MicroF1": 0.6294103717736207, "MacroF1": 0.5952675443708706, "Memory in Mb": 19.52926254272461, "Time in s": 1735.893967 }, { "step": 5280, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6364841826103429, "MicroF1": 0.6364841826103429, "MacroF1": 0.5994911272790603, "Memory in Mb": 18.82306957244873, "Time in s": 2497.807238 }, { "step": 6336, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6352012628255722, "MicroF1": 0.6352012628255722, "MacroF1": 0.5993891820807258, "Memory in Mb": 20.00343894958496, "Time in s": 3379.788115 }, { "step": 7392, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.638749830875389, "MicroF1": 0.638749830875389, "MacroF1": 0.6030343276880051, "Memory in Mb": 20.9547061920166, "Time in s": 4385.582643 }, { "step": 8448, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6405824553095774, "MicroF1": 0.6405824553095774, "MacroF1": 0.6028521616895871, "Memory in Mb": 23.98197650909424, "Time in s": 5520.259032 }, { "step": 9504, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6449542249815847, "MicroF1": 0.6449542249815847, "MacroF1": 0.6055705492028415, "Memory in Mb": 24.687146186828613, "Time in s": 6764.141036999999 }, { "step": 10560, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6485462638507434, "MicroF1": 0.6485462638507434, "MacroF1": 0.6081614166360887, "Memory in Mb": 28.76917839050293, "Time in s": 8102.806145 }, { "step": 11616, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6490744726646578, "MicroF1": 0.6490744726646578, "MacroF1": 0.6078786452761632, "Memory in Mb": 30.803756713867188, "Time in s": 9530.02909 }, { "step": 12672, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6514876489621971, "MicroF1": 0.6514876489621971, "MacroF1": 0.6111938480023122, "Memory in Mb": 35.14385414123535, "Time in s": 11044.69783 }, { "step": 13728, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6707947840023312, "MicroF1": 0.6707947840023312, "MacroF1": 0.6607574394823457, "Memory in Mb": 17.51351547241211, "Time in s": 12617.098737 }, { "step": 14784, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6821348846648176, "MicroF1": 0.6821348846648176, "MacroF1": 0.6733632096765088, "Memory in Mb": 9.275564193725586, "Time in s": 14250.678949 }, { "step": 15840, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6778205694803965, "MicroF1": 0.6778205694803965, "MacroF1": 0.670556396248407, "Memory in Mb": 11.964457511901855, "Time in s": 15956.730999 }, { "step": 16896, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6754661142349808, "MicroF1": 0.6754661142349808, "MacroF1": 0.6690281338426608, "Memory in Mb": 12.60369873046875, "Time in s": 17732.973803 }, { "step": 17952, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6721631106902123, "MicroF1": 0.6721631106902123, "MacroF1": 0.6660357480506892, "Memory in Mb": 12.93508529663086, "Time in s": 19577.321708 }, { "step": 19008, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6856947440416689, "MicroF1": 0.6856947440416689, "MacroF1": 0.6751812770122833, "Memory in Mb": 14.563780784606934, "Time in s": 21465.395048 }, { "step": 20064, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6926680954991776, "MicroF1": 0.6926680954991776, "MacroF1": 0.6785701715539604, "Memory in Mb": 23.61655616760254, "Time in s": 23398.659989 }, { "step": 21120, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6942090061082438, "MicroF1": 0.6942090061082438, "MacroF1": 0.6784920731228882, "Memory in Mb": 30.02095413208008, "Time in s": 25401.280766 }, { "step": 22176, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6958737316798196, "MicroF1": 0.6958737316798196, "MacroF1": 0.6784853924286285, "Memory in Mb": 31.29345321655273, "Time in s": 27443.688764 }, { "step": 23232, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6989798114588266, "MicroF1": 0.6989798114588266, "MacroF1": 0.6799590657327791, "Memory in Mb": 29.59604263305664, "Time in s": 29526.276677 }, { "step": 24288, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7011981718614897, "MicroF1": 0.7011981718614897, "MacroF1": 0.680282364066019, "Memory in Mb": 32.615909576416016, "Time in s": 31645.669428 }, { "step": 25344, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7031527443475516, "MicroF1": 0.7031527443475516, "MacroF1": 0.6805566439417602, "Memory in Mb": 33.91432285308838, "Time in s": 33792.819539 }, { "step": 26400, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7051782264479716, "MicroF1": 0.7051782264479716, "MacroF1": 0.6809495737401271, "Memory in Mb": 35.12977695465088, "Time in s": 35966.301701 }, { "step": 27456, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7065743944636678, "MicroF1": 0.7065743944636678, "MacroF1": 0.6805936316849747, "Memory in Mb": 38.84447956085205, "Time in s": 38159.78466 }, { "step": 28512, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7054820946301428, "MicroF1": 0.7054820946301428, "MacroF1": 0.681225779493031, "Memory in Mb": 34.570815086364746, "Time in s": 40377.715599 }, { "step": 29568, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7045692833226231, "MicroF1": 0.7045692833226231, "MacroF1": 0.6849598194839713, "Memory in Mb": 20.38253498077393, "Time in s": 42611.23284999999 }, { "step": 30624, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7031316330862424, "MicroF1": 0.7031316330862424, "MacroF1": 0.6877640955933652, "Memory in Mb": 22.55568027496338, "Time in s": 44864.71640799999 }, { "step": 31680, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7032418952618454, "MicroF1": 0.7032418952618454, "MacroF1": 0.6917227552448634, "Memory in Mb": 26.177990913391117, "Time in s": 47133.482559 }, { "step": 32736, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7037421719871697, "MicroF1": 0.7037421719871697, "MacroF1": 0.6952024388211077, "Memory in Mb": 25.7611780166626, "Time in s": 49415.922785 }, { "step": 33792, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.7002160338551685, "MicroF1": 0.7002160338551685, "MacroF1": 0.6931280234945141, "Memory in Mb": 25.958494186401367, "Time in s": 51714.47139399999 }, { "step": 34848, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6973627571957414, "MicroF1": 0.6973627571957414, "MacroF1": 0.6902163957562899, "Memory in Mb": 18.894118309021, "Time in s": 54032.337052 }, { "step": 35904, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6951786758766677, "MicroF1": 0.6951786758766677, "MacroF1": 0.6877287571005829, "Memory in Mb": 18.049145698547363, "Time in s": 56371.370632 }, { "step": 36960, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6919830081982737, "MicroF1": 0.6919830081982737, "MacroF1": 0.6843647347906762, "Memory in Mb": 22.045016288757324, "Time in s": 58731.919307 }, { "step": 38016, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6900697093252663, "MicroF1": 0.6900697093252663, "MacroF1": 0.68217396069655, "Memory in Mb": 25.079078674316406, "Time in s": 61114.705624 }, { "step": 39072, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.688720534411712, "MicroF1": 0.688720534411712, "MacroF1": 0.6808510434728485, "Memory in Mb": 19.794261932373047, "Time in s": 63520.517783 }, { "step": 40128, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6867695068158597, "MicroF1": 0.6867695068158597, "MacroF1": 0.6796002866264578, "Memory in Mb": 10.854747772216797, "Time in s": 65948.78476699999 }, { "step": 41184, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6843843333414273, "MicroF1": 0.6843843333414273, "MacroF1": 0.6779529807793833, "Memory in Mb": 10.474969863891602, "Time in s": 68395.63477799999 }, { "step": 42240, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6822131205757712, "MicroF1": 0.6822131205757712, "MacroF1": 0.6764872431583758, "Memory in Mb": 14.707494735717772, "Time in s": 70864.05938699999 }, { "step": 43296, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6795472918350849, "MicroF1": 0.6795472918350849, "MacroF1": 0.674587653669649, "Memory in Mb": 12.672552108764648, "Time in s": 73351.02096199998 }, { "step": 44352, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6769633153705666, "MicroF1": 0.6769633153705666, "MacroF1": 0.6725984110786069, "Memory in Mb": 13.144417762756348, "Time in s": 75857.66838799998 }, { "step": 45408, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6748959411544475, "MicroF1": 0.6748959411544475, "MacroF1": 0.6710316194917795, "Memory in Mb": 14.719610214233398, "Time in s": 78383.45415699997 }, { "step": 46464, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6743215031315241, "MicroF1": 0.6743215031315241, "MacroF1": 0.670959098678123, "Memory in Mb": 15.027325630187988, "Time in s": 80927.72302099997 }, { "step": 47520, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6765293882447021, "MicroF1": 0.6765293882447021, "MacroF1": 0.6733002712216741, "Memory in Mb": 17.283148765563965, "Time in s": 83488.02074099997 }, { "step": 48576, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6805970149253732, "MicroF1": 0.6805970149253732, "MacroF1": 0.6770692638556323, "Memory in Mb": 17.906007766723633, "Time in s": 86063.52222099998 }, { "step": 49632, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6848340754770205, "MicroF1": 0.6848340754770205, "MacroF1": 0.6808344811077705, "Memory in Mb": 18.8202543258667, "Time in s": 88653.18323199998 }, { "step": 50688, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6890524197525992, "MicroF1": 0.6890524197525992, "MacroF1": 0.6843657264244208, "Memory in Mb": 21.50714492797852, "Time in s": 91255.74433499998 }, { "step": 51744, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6932531936687089, "MicroF1": 0.6932531936687089, "MacroF1": 0.6877873898777546, "Memory in Mb": 23.154582023620605, "Time in s": 93870.637319 }, { "step": 52800, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6956002954601412, "MicroF1": 0.6956002954601412, "MacroF1": 0.6902433463100389, "Memory in Mb": 14.128369331359863, "Time in s": 96495.216564 }, { "step": 52848, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Insects", "Accuracy": 0.6958578538043787, "MicroF1": 0.6958578538043787, "MacroF1": 0.6905081705907102, "Memory in Mb": 13.83100128173828, "Time in s": 99120.191439 }, { "step": 408, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9828009828009828, "MicroF1": 0.9828009828009828, "MacroF1": 0.6067632850241546, "Memory in Mb": 2.0028390884399414, "Time in s": 23.27864 }, { "step": 816, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9521472392638036, "MicroF1": 0.9521472392638036, "MacroF1": 0.8408896590786493, "Memory in Mb": 4.076430320739746, "Time in s": 76.761208 }, { "step": 1224, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9533932951757972, "MicroF1": 0.9533932951757972, "MacroF1": 0.9542235338779168, "Memory in Mb": 5.6716413497924805, "Time in s": 164.877928 }, { "step": 1632, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9589209074187616, "MicroF1": 0.9589209074187616, "MacroF1": 0.936122253486076, "Memory in Mb": 8.122180938720703, "Time in s": 291.606081 }, { "step": 2040, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9573320255026974, "MicroF1": 0.9573320255026974, "MacroF1": 0.9445755787125868, "Memory in Mb": 10.5212984085083, "Time in s": 455.912148 }, { "step": 2448, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9607682876992236, "MicroF1": 0.9607682876992236, "MacroF1": 0.9588299190873342, "Memory in Mb": 9.06541347503662, "Time in s": 649.921126 }, { "step": 2856, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9618213660245184, "MicroF1": 0.9618213660245184, "MacroF1": 0.9516555143941908, "Memory in Mb": 13.188368797302246, "Time in s": 870.236672 }, { "step": 3264, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9589334967821024, "MicroF1": 0.9589334967821024, "MacroF1": 0.9492703335352553, "Memory in Mb": 13.21088695526123, "Time in s": 1122.958204 }, { "step": 3672, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9585943884500135, "MicroF1": 0.9585943884500135, "MacroF1": 0.9531276848185062, "Memory in Mb": 16.65507411956787, "Time in s": 1406.732623 }, { "step": 4080, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9541554302525128, "MicroF1": 0.9541554302525128, "MacroF1": 0.9416377826660955, "Memory in Mb": 17.091320037841797, "Time in s": 1722.764314 }, { "step": 4488, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9529752618676176, "MicroF1": 0.9529752618676176, "MacroF1": 0.9549694463549354, "Memory in Mb": 10.336687088012695, "Time in s": 2070.686487 }, { "step": 4896, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9550561797752808, "MicroF1": 0.9550561797752808, "MacroF1": 0.95517907029875, "Memory in Mb": 11.520882606506348, "Time in s": 2449.358224 }, { "step": 5304, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9568168960965492, "MicroF1": 0.9568168960965492, "MacroF1": 0.9575833276239932, "Memory in Mb": 13.737529754638672, "Time in s": 2856.6015070000003 }, { "step": 5712, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9574505340570828, "MicroF1": 0.9574505340570828, "MacroF1": 0.9570632809827344, "Memory in Mb": 15.842782020568848, "Time in s": 3290.691514 }, { "step": 6120, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9557117176009152, "MicroF1": 0.9557117176009152, "MacroF1": 0.9522483041543378, "Memory in Mb": 20.04281044006348, "Time in s": 3760.43818 }, { "step": 6528, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9566416424084572, "MicroF1": 0.9566416424084572, "MacroF1": 0.9568246790885272, "Memory in Mb": 11.687369346618652, "Time in s": 4258.095146 }, { "step": 6936, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.95746214852199, "MicroF1": 0.95746214852199, "MacroF1": 0.9579855320572276, "Memory in Mb": 12.48728847503662, "Time in s": 4780.363237 }, { "step": 7344, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9568296336647149, "MicroF1": 0.9568296336647149, "MacroF1": 0.9563404233689646, "Memory in Mb": 15.327423095703123, "Time in s": 5334.336646 }, { "step": 7752, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9565217391304348, "MicroF1": 0.9565217391304348, "MacroF1": 0.9563017119581124, "Memory in Mb": 18.70553493499756, "Time in s": 5920.99825 }, { "step": 8160, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.954528741267312, "MicroF1": 0.954528741267312, "MacroF1": 0.9527980459948604, "Memory in Mb": 24.08679676055908, "Time in s": 6539.621381999999 }, { "step": 8568, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.95459320649002, "MicroF1": 0.95459320649002, "MacroF1": 0.9549210113442088, "Memory in Mb": 21.21516990661621, "Time in s": 7187.28418 }, { "step": 8976, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9550974930362116, "MicroF1": 0.9550974930362116, "MacroF1": 0.955362716075958, "Memory in Mb": 17.566545486450195, "Time in s": 7867.802732999999 }, { "step": 9384, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9555579239049344, "MicroF1": 0.9555579239049344, "MacroF1": 0.9558253322166266, "Memory in Mb": 15.710055351257324, "Time in s": 8578.363562999999 }, { "step": 9792, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9552650393218262, "MicroF1": 0.9552650393218262, "MacroF1": 0.955371511778808, "Memory in Mb": 18.71725273132324, "Time in s": 9321.146736 }, { "step": 10200, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9533287577213452, "MicroF1": 0.9533287577213452, "MacroF1": 0.9523119157834916, "Memory in Mb": 15.605277061462402, "Time in s": 10099.276789999998 }, { "step": 10608, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9521070990855096, "MicroF1": 0.9521070990855096, "MacroF1": 0.9515822083565744, "Memory in Mb": 11.186952590942385, "Time in s": 10903.979313999998 }, { "step": 11016, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.953427144802542, "MicroF1": 0.953427144802542, "MacroF1": 0.9541201209142028, "Memory in Mb": 7.581887245178223, "Time in s": 11728.435273 }, { "step": 11424, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.953689923837871, "MicroF1": 0.953689923837871, "MacroF1": 0.9538275342826804, "Memory in Mb": 10.15964126586914, "Time in s": 12573.844722999998 }, { "step": 11832, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9535964838137098, "MicroF1": 0.9535964838137098, "MacroF1": 0.9538502960885475, "Memory in Mb": 11.061944961547852, "Time in s": 13441.174569 }, { "step": 12240, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9541629218073372, "MicroF1": 0.9541629218073372, "MacroF1": 0.9544632162431566, "Memory in Mb": 11.249642372131348, "Time in s": 14331.138910999998 }, { "step": 12648, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9548509527951292, "MicroF1": 0.9548509527951292, "MacroF1": 0.9551609875055332, "Memory in Mb": 13.203255653381348, "Time in s": 15243.410521999998 }, { "step": 13056, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9551895825354272, "MicroF1": 0.955189582535427, "MacroF1": 0.9553883557595892, "Memory in Mb": 9.36058521270752, "Time in s": 16176.429406999998 }, { "step": 13464, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.955953353635891, "MicroF1": 0.955953353635891, "MacroF1": 0.9562606797905644, "Memory in Mb": 11.575583457946776, "Time in s": 17130.275872 }, { "step": 13872, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9561675437964098, "MicroF1": 0.9561675437964098, "MacroF1": 0.9563487774281332, "Memory in Mb": 11.42638874053955, "Time in s": 18106.07239 }, { "step": 14280, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9549688353526156, "MicroF1": 0.9549688353526156, "MacroF1": 0.954852939557476, "Memory in Mb": 10.249165534973145, "Time in s": 19109.380901 }, { "step": 14688, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9552665622659496, "MicroF1": 0.9552665622659496, "MacroF1": 0.955472434271787, "Memory in Mb": 8.168793678283691, "Time in s": 20137.264239 }, { "step": 15096, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9560781715799934, "MicroF1": 0.9560781715799934, "MacroF1": 0.9563263247313608, "Memory in Mb": 9.020037651062012, "Time in s": 21191.151533 }, { "step": 15504, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9563955363478036, "MicroF1": 0.9563955363478036, "MacroF1": 0.9565429512012836, "Memory in Mb": 8.031278610229492, "Time in s": 22273.408126999995 }, { "step": 15912, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9566337753755264, "MicroF1": 0.9566337753755264, "MacroF1": 0.9567672375037608, "Memory in Mb": 10.967172622680664, "Time in s": 23379.117397999995 }, { "step": 16320, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9563085973405232, "MicroF1": 0.9563085973405232, "MacroF1": 0.9563585840602682, "Memory in Mb": 11.29026985168457, "Time in s": 24508.785403999995 }, { "step": 16728, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.955580797513003, "MicroF1": 0.955580797513003, "MacroF1": 0.9555776398983684, "Memory in Mb": 9.525394439697266, "Time in s": 25660.924918999997 }, { "step": 17136, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9564050189670266, "MicroF1": 0.9564050189670268, "MacroF1": 0.9565585833577668, "Memory in Mb": 10.421767234802246, "Time in s": 26839.493165999997 }, { "step": 17544, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9566778772159836, "MicroF1": 0.9566778772159836, "MacroF1": 0.9567660151847868, "Memory in Mb": 11.633780479431152, "Time in s": 28038.177978999996 }, { "step": 17952, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9564369672998718, "MicroF1": 0.9564369672998718, "MacroF1": 0.9564736297242662, "Memory in Mb": 8.448995590209961, "Time in s": 29257.620389999996 }, { "step": 18360, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9567514570510376, "MicroF1": 0.9567514570510376, "MacroF1": 0.9568227044222712, "Memory in Mb": 7.821832656860352, "Time in s": 30499.29393699999 }, { "step": 18768, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9568924175414292, "MicroF1": 0.9568924175414292, "MacroF1": 0.9569505378685396, "Memory in Mb": 9.859258651733398, "Time in s": 31763.565401999997 }, { "step": 19176, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9567144719687092, "MicroF1": 0.9567144719687092, "MacroF1": 0.956766336746882, "Memory in Mb": 11.256629943847656, "Time in s": 33053.804573999994 }, { "step": 19584, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9568503293673084, "MicroF1": 0.9568503293673084, "MacroF1": 0.9569026376832064, "Memory in Mb": 11.690522193908691, "Time in s": 34367.36625199999 }, { "step": 19992, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9564303936771548, "MicroF1": 0.9564303936771548, "MacroF1": 0.956465338137946, "Memory in Mb": 12.451186180114746, "Time in s": 35701.899461999994 }, { "step": 20400, "track": "Multiclass classification", "model": "Leveraging Bagging", "dataset": "Keystroke", "Accuracy": 0.9566155203686456, "MicroF1": 0.9566155203686456, "MacroF1": 0.9566498206969932, "Memory in Mb": 7.4099931716918945, "Time in s": 37049.10208799999 }, { "step": 46, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.4, "MicroF1": 0.4000000000000001, "MacroF1": 0.3289160825620571, "Memory in Mb": 1.89190673828125, "Time in s": 1.901401 }, { "step": 92, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.5494505494505495, "MicroF1": 0.5494505494505495, "MacroF1": 0.5607526488856412, "Memory in Mb": 2.084074020385742, "Time in s": 6.467373 }, { "step": 138, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.5693430656934306, "MicroF1": 0.5693430656934306, "MacroF1": 0.5872103411959265, "Memory in Mb": 2.357966423034668, "Time in s": 13.822826 }, { "step": 184, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.6174863387978142, "MicroF1": 0.6174863387978142, "MacroF1": 0.6372989403156369, "Memory in Mb": 2.7369613647460938, "Time in s": 24.259991 }, { "step": 230, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.6375545851528385, "MicroF1": 0.6375545851528385, "MacroF1": 0.6548159763148107, "Memory in Mb": 2.862431526184082, "Time in s": 37.817905 }, { "step": 276, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.6618181818181819, "MicroF1": 0.6618181818181819, "MacroF1": 0.6802187985971371, "Memory in Mb": 2.982741355895996, "Time in s": 54.565381 }, { "step": 322, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.6915887850467289, "MicroF1": 0.6915887850467289, "MacroF1": 0.6955507555363084, "Memory in Mb": 3.080752372741699, "Time in s": 74.633343 }, { "step": 368, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7111716621253406, "MicroF1": 0.7111716621253404, "MacroF1": 0.7105739026832886, "Memory in Mb": 3.232259750366211, "Time in s": 98.204704 }, { "step": 414, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7263922518159807, "MicroF1": 0.7263922518159807, "MacroF1": 0.7261041400072307, "Memory in Mb": 3.505929946899414, "Time in s": 125.527545 }, { "step": 460, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7276688453159041, "MicroF1": 0.7276688453159043, "MacroF1": 0.72519869331257, "Memory in Mb": 3.787288665771485, "Time in s": 156.78717 }, { "step": 506, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7425742574257426, "MicroF1": 0.7425742574257425, "MacroF1": 0.7379486431795568, "Memory in Mb": 6.240692138671875, "Time in s": 210.523476 }, { "step": 552, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7422867513611615, "MicroF1": 0.7422867513611615, "MacroF1": 0.7388440561615693, "Memory in Mb": 6.313092231750488, "Time in s": 268.009607 }, { "step": 598, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7520938023450586, "MicroF1": 0.7520938023450586, "MacroF1": 0.749839509127547, "Memory in Mb": 6.682056427001953, "Time in s": 329.26112900000004 }, { "step": 644, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7573872472783826, "MicroF1": 0.7573872472783826, "MacroF1": 0.7582793237949303, "Memory in Mb": 7.269444465637207, "Time in s": 394.37227100000007 }, { "step": 690, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7634252539912917, "MicroF1": 0.7634252539912917, "MacroF1": 0.7648953830992049, "Memory in Mb": 7.531791687011719, "Time in s": 463.2777280000001 }, { "step": 736, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7673469387755102, "MicroF1": 0.7673469387755102, "MacroF1": 0.7694390547687558, "Memory in Mb": 7.987269401550293, "Time in s": 536.1609010000001 }, { "step": 782, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7772087067861716, "MicroF1": 0.7772087067861717, "MacroF1": 0.7788980835102386, "Memory in Mb": 8.317158699035645, "Time in s": 613.0067590000001 }, { "step": 828, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7823458282950423, "MicroF1": 0.7823458282950423, "MacroF1": 0.7854763667551727, "Memory in Mb": 8.613452911376953, "Time in s": 693.8523060000001 }, { "step": 874, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7915234822451317, "MicroF1": 0.7915234822451317, "MacroF1": 0.7933203073280156, "Memory in Mb": 8.694649696350098, "Time in s": 778.7710210000001 }, { "step": 920, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.7986942328618063, "MicroF1": 0.7986942328618062, "MacroF1": 0.7996826842527437, "Memory in Mb": 8.824880599975586, "Time in s": 867.8856220000001 }, { "step": 966, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8041450777202073, "MicroF1": 0.8041450777202073, "MacroF1": 0.8044659150084363, "Memory in Mb": 9.089361190795898, "Time in s": 961.208295 }, { "step": 1012, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8100890207715133, "MicroF1": 0.8100890207715133, "MacroF1": 0.8093994872208631, "Memory in Mb": 9.280214309692385, "Time in s": 1058.9817440000002 }, { "step": 1058, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8145695364238411, "MicroF1": 0.814569536423841, "MacroF1": 0.8133421993203876, "Memory in Mb": 9.165953636169434, "Time in s": 1161.0697040000002 }, { "step": 1104, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8213961922030825, "MicroF1": 0.8213961922030824, "MacroF1": 0.8206569542548617, "Memory in Mb": 8.760258674621582, "Time in s": 1267.2341280000005 }, { "step": 1150, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.824194952132289, "MicroF1": 0.824194952132289, "MacroF1": 0.8228781271733864, "Memory in Mb": 8.742037773132324, "Time in s": 1377.3471480000003 }, { "step": 1196, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8292887029288702, "MicroF1": 0.8292887029288704, "MacroF1": 0.8281638601893785, "Memory in Mb": 8.87535572052002, "Time in s": 1491.4919770000004 }, { "step": 1242, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8340048348106366, "MicroF1": 0.8340048348106366, "MacroF1": 0.833490204478907, "Memory in Mb": 8.332135200500488, "Time in s": 1609.3898390000004 }, { "step": 1288, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8360528360528361, "MicroF1": 0.8360528360528361, "MacroF1": 0.8353480055004047, "Memory in Mb": 8.416248321533203, "Time in s": 1730.8650650000004 }, { "step": 1334, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8394598649662416, "MicroF1": 0.8394598649662416, "MacroF1": 0.8389194005130135, "Memory in Mb": 8.469959259033203, "Time in s": 1855.8596220000004 }, { "step": 1380, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8419144307469181, "MicroF1": 0.8419144307469181, "MacroF1": 0.8414934007209077, "Memory in Mb": 8.578604698181152, "Time in s": 1984.2269550000003 }, { "step": 1426, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8449122807017544, "MicroF1": 0.8449122807017544, "MacroF1": 0.8435602800871403, "Memory in Mb": 8.689190864562988, "Time in s": 2115.814455 }, { "step": 1472, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8484024473147519, "MicroF1": 0.8484024473147518, "MacroF1": 0.8459519552383536, "Memory in Mb": 8.800261497497559, "Time in s": 2250.613689 }, { "step": 1518, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8503625576796309, "MicroF1": 0.8503625576796308, "MacroF1": 0.8475723684173131, "Memory in Mb": 9.025433540344238, "Time in s": 2388.852428 }, { "step": 1564, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8522072936660269, "MicroF1": 0.8522072936660269, "MacroF1": 0.8497128793769615, "Memory in Mb": 8.811847686767578, "Time in s": 2530.498155 }, { "step": 1610, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8527035425730267, "MicroF1": 0.8527035425730267, "MacroF1": 0.8503048238231962, "Memory in Mb": 8.729784965515137, "Time in s": 2675.5358680000004 }, { "step": 1656, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8531722054380665, "MicroF1": 0.8531722054380665, "MacroF1": 0.8508343416398155, "Memory in Mb": 8.761359214782715, "Time in s": 2823.7565440000003 }, { "step": 1702, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8571428571428571, "MicroF1": 0.8571428571428571, "MacroF1": 0.8561317791292776, "Memory in Mb": 8.798370361328125, "Time in s": 2975.2442650000003 }, { "step": 1748, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8580423583285632, "MicroF1": 0.8580423583285632, "MacroF1": 0.8567712479140972, "Memory in Mb": 8.86152172088623, "Time in s": 3129.874549 }, { "step": 1794, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8611266034578918, "MicroF1": 0.8611266034578918, "MacroF1": 0.8591986188286931, "Memory in Mb": 8.932531356811523, "Time in s": 3287.541657 }, { "step": 1840, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8618814573137574, "MicroF1": 0.8618814573137574, "MacroF1": 0.8601172531559075, "Memory in Mb": 8.819746017456055, "Time in s": 3448.3205970000004 }, { "step": 1886, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8636604774535809, "MicroF1": 0.8636604774535809, "MacroF1": 0.8623243992773615, "Memory in Mb": 9.007128715515137, "Time in s": 3612.136702 }, { "step": 1932, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8648368720870016, "MicroF1": 0.8648368720870016, "MacroF1": 0.8630569076841595, "Memory in Mb": 9.368453979492188, "Time in s": 3779.147863 }, { "step": 1978, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8649468892261002, "MicroF1": 0.8649468892261002, "MacroF1": 0.8631362872103546, "Memory in Mb": 8.952109336853027, "Time in s": 3949.363777 }, { "step": 2024, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8665348492338112, "MicroF1": 0.8665348492338112, "MacroF1": 0.8639071890295129, "Memory in Mb": 9.146061897277832, "Time in s": 4122.536804 }, { "step": 2070, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8680521991300145, "MicroF1": 0.8680521991300145, "MacroF1": 0.8658036637930728, "Memory in Mb": 8.80567455291748, "Time in s": 4298.84894 }, { "step": 2116, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8695035460992908, "MicroF1": 0.8695035460992909, "MacroF1": 0.8667661913422944, "Memory in Mb": 8.892473220825195, "Time in s": 4478.129032 }, { "step": 2162, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8690421101341971, "MicroF1": 0.869042110134197, "MacroF1": 0.8663186552920692, "Memory in Mb": 8.910783767700195, "Time in s": 4660.403073 }, { "step": 2208, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8699592206615315, "MicroF1": 0.8699592206615315, "MacroF1": 0.8669965232275297, "Memory in Mb": 8.99278450012207, "Time in s": 4845.573407999999 }, { "step": 2254, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.869063470927652, "MicroF1": 0.8690634709276521, "MacroF1": 0.8666022158227548, "Memory in Mb": 9.09610366821289, "Time in s": 5033.674223999999 }, { "step": 2300, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8686385384949978, "MicroF1": 0.8686385384949978, "MacroF1": 0.8662053097556822, "Memory in Mb": 9.110825538635254, "Time in s": 5224.692184 }, { "step": 2310, "track": "Multiclass classification", "model": "Stacking", "dataset": "ImageSegments", "Accuracy": 0.8679081853616284, "MicroF1": 0.8679081853616284, "MacroF1": 0.8656034675726049, "Memory in Mb": 9.181622505187988, "Time in s": 5416.881651 }, { "step": 1056, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.6511848341232227, "MicroF1": 0.6511848341232227, "MacroF1": 0.5864257754346489, "Memory in Mb": 12.51792049407959, "Time in s": 137.265242 }, { "step": 2112, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.6873519658929418, "MicroF1": 0.6873519658929418, "MacroF1": 0.6004104483953082, "Memory in Mb": 15.371862411499023, "Time in s": 366.367491 }, { "step": 3168, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.6978212819703189, "MicroF1": 0.6978212819703189, "MacroF1": 0.602242348585179, "Memory in Mb": 17.772335052490234, "Time in s": 671.574116 }, { "step": 4224, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7054226852948141, "MicroF1": 0.7054226852948141, "MacroF1": 0.6059831617919115, "Memory in Mb": 20.14197826385498, "Time in s": 1043.757912 }, { "step": 5280, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7080886531540065, "MicroF1": 0.7080886531540066, "MacroF1": 0.6082411118035554, "Memory in Mb": 23.246225357055664, "Time in s": 1476.569185 }, { "step": 6336, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.708602999210734, "MicroF1": 0.708602999210734, "MacroF1": 0.6091818949546898, "Memory in Mb": 28.13547992706299, "Time in s": 1970.150117 }, { "step": 7392, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7104586659450683, "MicroF1": 0.7104586659450683, "MacroF1": 0.6104104212994758, "Memory in Mb": 30.16471099853516, "Time in s": 2526.789716 }, { "step": 8448, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7130342133301764, "MicroF1": 0.7130342133301764, "MacroF1": 0.6119778058667307, "Memory in Mb": 27.69899654388428, "Time in s": 3146.1270590000004 }, { "step": 9504, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.717773334736399, "MicroF1": 0.717773334736399, "MacroF1": 0.6149023583636667, "Memory in Mb": 27.04288387298584, "Time in s": 3829.1831980000006 }, { "step": 10560, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7215645420967894, "MicroF1": 0.7215645420967894, "MacroF1": 0.617635708330779, "Memory in Mb": 23.96706485748291, "Time in s": 4572.729772000001 }, { "step": 11616, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7213086526043909, "MicroF1": 0.721308652604391, "MacroF1": 0.6182075626749539, "Memory in Mb": 26.15617847442627, "Time in s": 5374.612830000001 }, { "step": 12672, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7240943887617394, "MicroF1": 0.7240943887617394, "MacroF1": 0.6351065980046956, "Memory in Mb": 25.05154228210449, "Time in s": 6233.453892000001 }, { "step": 13728, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7432796678079697, "MicroF1": 0.7432796678079697, "MacroF1": 0.7402334392509421, "Memory in Mb": 15.30208683013916, "Time in s": 7142.743199000001 }, { "step": 14784, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7491713454643848, "MicroF1": 0.7491713454643848, "MacroF1": 0.7487081677599373, "Memory in Mb": 11.128735542297363, "Time in s": 8102.097506000001 }, { "step": 15840, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7424079803017867, "MicroF1": 0.7424079803017867, "MacroF1": 0.7445532404968841, "Memory in Mb": 16.950417518615723, "Time in s": 9128.379042 }, { "step": 16896, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7382657591003255, "MicroF1": 0.7382657591003255, "MacroF1": 0.7427378731329454, "Memory in Mb": 18.26229953765869, "Time in s": 10214.572621 }, { "step": 17952, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7309342097933262, "MicroF1": 0.7309342097933262, "MacroF1": 0.7368436311738037, "Memory in Mb": 23.77636337280273, "Time in s": 11358.099531000002 }, { "step": 19008, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7429368127531962, "MicroF1": 0.7429368127531962, "MacroF1": 0.7441354243297112, "Memory in Mb": 12.95803928375244, "Time in s": 12553.803014 }, { "step": 20064, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7475950755121368, "MicroF1": 0.7475950755121367, "MacroF1": 0.7439196968116685, "Memory in Mb": 12.612845420837402, "Time in s": 13796.415893 }, { "step": 21120, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7492305506889531, "MicroF1": 0.7492305506889531, "MacroF1": 0.7418613509588597, "Memory in Mb": 16.95127773284912, "Time in s": 15088.238885 }, { "step": 22176, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7509808342728298, "MicroF1": 0.7509808342728299, "MacroF1": 0.7400929587109365, "Memory in Mb": 17.926865577697754, "Time in s": 16424.025269 }, { "step": 23232, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7532176832680471, "MicroF1": 0.7532176832680472, "MacroF1": 0.7391930166872092, "Memory in Mb": 20.93969821929932, "Time in s": 17798.240955 }, { "step": 24288, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7550129699015935, "MicroF1": 0.7550129699015935, "MacroF1": 0.7379653286035112, "Memory in Mb": 25.43882942199707, "Time in s": 19212.969178 }, { "step": 25344, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7569743124334136, "MicroF1": 0.7569743124334136, "MacroF1": 0.7375346698329149, "Memory in Mb": 29.94521999359131, "Time in s": 20668.368585 }, { "step": 26400, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7580590173870222, "MicroF1": 0.7580590173870221, "MacroF1": 0.7363169253318035, "Memory in Mb": 34.1699275970459, "Time in s": 22166.950006 }, { "step": 27456, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7593880896011656, "MicroF1": 0.7593880896011656, "MacroF1": 0.7352131419868576, "Memory in Mb": 32.93678665161133, "Time in s": 23706.536377 }, { "step": 28512, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7573217354705202, "MicroF1": 0.7573217354705202, "MacroF1": 0.7350502568377754, "Memory in Mb": 21.273219108581543, "Time in s": 25286.984696 }, { "step": 29568, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7555382690161329, "MicroF1": 0.7555382690161329, "MacroF1": 0.7386915112539557, "Memory in Mb": 20.747055053710938, "Time in s": 26906.631088 }, { "step": 30624, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7544982529471312, "MicroF1": 0.7544982529471312, "MacroF1": 0.7426503125712552, "Memory in Mb": 24.91079425811768, "Time in s": 28562.795387 }, { "step": 31680, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7531487736355315, "MicroF1": 0.7531487736355315, "MacroF1": 0.7453200395899969, "Memory in Mb": 32.13512706756592, "Time in s": 30253.076649 }, { "step": 32736, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7530471971895525, "MicroF1": 0.7530471971895525, "MacroF1": 0.7484606399297139, "Memory in Mb": 36.17057991027832, "Time in s": 31977.334616 }, { "step": 33792, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7480986061377289, "MicroF1": 0.748098606137729, "MacroF1": 0.7448942365218528, "Memory in Mb": 13.298456192016602, "Time in s": 33736.870240000004 }, { "step": 34848, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7436795133010016, "MicroF1": 0.7436795133010016, "MacroF1": 0.7403442775964885, "Memory in Mb": 15.221885681152344, "Time in s": 35530.857132000005 }, { "step": 35904, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7404952232403977, "MicroF1": 0.7404952232403977, "MacroF1": 0.7368033013057004, "Memory in Mb": 16.932289123535156, "Time in s": 37356.72126300001 }, { "step": 36960, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7371411564165697, "MicroF1": 0.7371411564165696, "MacroF1": 0.7332530467261859, "Memory in Mb": 22.237309455871586, "Time in s": 39213.91358200001 }, { "step": 38016, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7341049585689859, "MicroF1": 0.7341049585689859, "MacroF1": 0.7299460315219516, "Memory in Mb": 22.86026954650879, "Time in s": 41100.10013700001 }, { "step": 39072, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7343042154027284, "MicroF1": 0.7343042154027284, "MacroF1": 0.7301016033872143, "Memory in Mb": 21.91624164581299, "Time in s": 43017.482867000006 }, { "step": 40128, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7327734443143021, "MicroF1": 0.7327734443143021, "MacroF1": 0.728948208474553, "Memory in Mb": 20.388718605041504, "Time in s": 44961.93393100001 }, { "step": 41184, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7327538061821626, "MicroF1": 0.7327538061821626, "MacroF1": 0.7292630064673854, "Memory in Mb": 15.630711555480955, "Time in s": 46951.12268600001 }, { "step": 42240, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7331849712351145, "MicroF1": 0.7331849712351144, "MacroF1": 0.7301128191332076, "Memory in Mb": 20.110919952392575, "Time in s": 48959.16072000001 }, { "step": 43296, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7337567848481349, "MicroF1": 0.7337567848481349, "MacroF1": 0.7309969621648841, "Memory in Mb": 24.057676315307617, "Time in s": 50985.068017000005 }, { "step": 44352, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7342111790038556, "MicroF1": 0.7342111790038556, "MacroF1": 0.731637560144403, "Memory in Mb": 28.52964782714844, "Time in s": 53028.942305 }, { "step": 45408, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7351289448763406, "MicroF1": 0.7351289448763407, "MacroF1": 0.7324911060941295, "Memory in Mb": 28.861422538757324, "Time in s": 55091.119898 }, { "step": 46464, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7357682457008803, "MicroF1": 0.7357682457008803, "MacroF1": 0.7329742877599967, "Memory in Mb": 33.07672500610352, "Time in s": 57170.52325500001 }, { "step": 47520, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7366947957659041, "MicroF1": 0.736694795765904, "MacroF1": 0.7341498113226347, "Memory in Mb": 21.3528356552124, "Time in s": 59267.07909500001 }, { "step": 48576, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7403602676273804, "MicroF1": 0.7403602676273804, "MacroF1": 0.7381372580344014, "Memory in Mb": 19.381468772888184, "Time in s": 61379.50627500001 }, { "step": 49632, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7442122866756664, "MicroF1": 0.7442122866756663, "MacroF1": 0.742109373234967, "Memory in Mb": 21.8067569732666, "Time in s": 63507.849119000006 }, { "step": 50688, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7475289521968157, "MicroF1": 0.7475289521968157, "MacroF1": 0.7453466445950636, "Memory in Mb": 21.65154266357422, "Time in s": 65647.81315 }, { "step": 51744, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7510581141410433, "MicroF1": 0.7510581141410433, "MacroF1": 0.7487124138061083, "Memory in Mb": 22.87060165405273, "Time in s": 67797.610737 }, { "step": 52800, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7545218659444307, "MicroF1": 0.7545218659444307, "MacroF1": 0.752582163258218, "Memory in Mb": 10.55445957183838, "Time in s": 69956.07865499999 }, { "step": 52848, "track": "Multiclass classification", "model": "Stacking", "dataset": "Insects", "Accuracy": 0.7547448294132117, "MicroF1": 0.7547448294132117, "MacroF1": 0.7528178949021433, "Memory in Mb": 10.58643913269043, "Time in s": 72115.038215 }, { "step": 408, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9803439803439804, "MicroF1": 0.9803439803439804, "MacroF1": 0.4950372208436724, "Memory in Mb": 1.786503791809082, "Time in s": 20.578742 }, { "step": 816, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.98159509202454, "MicroF1": 0.98159509202454, "MacroF1": 0.9278568842209168, "Memory in Mb": 6.9002227783203125, "Time in s": 101.280083 }, { "step": 1224, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9803761242845462, "MicroF1": 0.9803761242845462, "MacroF1": 0.9574942570636208, "Memory in Mb": 9.112634658813477, "Time in s": 223.840162 }, { "step": 1632, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9779276517473944, "MicroF1": 0.9779276517473944, "MacroF1": 0.9432755457272628, "Memory in Mb": 10.40715503692627, "Time in s": 381.844655 }, { "step": 2040, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.973516429622364, "MicroF1": 0.973516429622364, "MacroF1": 0.9361356188587968, "Memory in Mb": 12.656171798706056, "Time in s": 575.269036 }, { "step": 2448, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9726195341234164, "MicroF1": 0.9726195341234164, "MacroF1": 0.9612590316809274, "Memory in Mb": 8.745987892150879, "Time in s": 802.257021 }, { "step": 2856, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754816112084064, "MicroF1": 0.9754816112084064, "MacroF1": 0.975146989141396, "Memory in Mb": 9.931495666503906, "Time in s": 1061.688609 }, { "step": 3264, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754826846460312, "MicroF1": 0.9754826846460312, "MacroF1": 0.9697604489278108, "Memory in Mb": 10.511832237243652, "Time in s": 1352.298412 }, { "step": 3672, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9733042767638246, "MicroF1": 0.9733042767638246, "MacroF1": 0.9642745555297418, "Memory in Mb": 11.800049781799316, "Time in s": 1675.333833 }, { "step": 4080, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9722971316499142, "MicroF1": 0.9722971316499142, "MacroF1": 0.9666413905932107, "Memory in Mb": 12.42660903930664, "Time in s": 2030.177258 }, { "step": 4488, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9734789391575664, "MicroF1": 0.9734789391575664, "MacroF1": 0.9728883985144964, "Memory in Mb": 9.746350288391112, "Time in s": 2413.735444 }, { "step": 4896, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9740551583248211, "MicroF1": 0.9740551583248211, "MacroF1": 0.9730015599884004, "Memory in Mb": 10.666529655456545, "Time in s": 2823.505547 }, { "step": 5304, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9741655666603808, "MicroF1": 0.9741655666603808, "MacroF1": 0.9728266773902404, "Memory in Mb": 11.775634765625, "Time in s": 3261.739577 }, { "step": 5712, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9747855016634565, "MicroF1": 0.9747855016634565, "MacroF1": 0.9744326987999562, "Memory in Mb": 12.58005428314209, "Time in s": 3727.994683 }, { "step": 6120, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9751593397613988, "MicroF1": 0.9751593397613988, "MacroF1": 0.9747223863351728, "Memory in Mb": 13.55466365814209, "Time in s": 4223.159482999999 }, { "step": 6528, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9751800214493642, "MicroF1": 0.9751800214493642, "MacroF1": 0.974525548169428, "Memory in Mb": 11.360074043273926, "Time in s": 4747.988555 }, { "step": 6936, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9763518385003604, "MicroF1": 0.9763518385003604, "MacroF1": 0.9769458779347456, "Memory in Mb": 11.155635833740234, "Time in s": 5300.577354999999 }, { "step": 7344, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9765763311997822, "MicroF1": 0.9765763311997822, "MacroF1": 0.976392359672136, "Memory in Mb": 12.33658504486084, "Time in s": 5881.207234 }, { "step": 7752, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9771642368726616, "MicroF1": 0.9771642368726616, "MacroF1": 0.9773496343719736, "Memory in Mb": 13.116165161132812, "Time in s": 6492.775159 }, { "step": 8160, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.976590268415247, "MicroF1": 0.976590268415247, "MacroF1": 0.975927508407602, "Memory in Mb": 13.303799629211426, "Time in s": 7137.299991 }, { "step": 8568, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9768880588303958, "MicroF1": 0.9768880588303958, "MacroF1": 0.9769304999907084, "Memory in Mb": 13.133574485778809, "Time in s": 7814.540539 }, { "step": 8976, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9774930362116993, "MicroF1": 0.9774930362116993, "MacroF1": 0.9777587646121524, "Memory in Mb": 13.50635814666748, "Time in s": 8523.072866 }, { "step": 9384, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9767664925929872, "MicroF1": 0.9767664925929872, "MacroF1": 0.9763135719034828, "Memory in Mb": 15.166536331176758, "Time in s": 9263.702674 }, { "step": 9792, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9765090389132876, "MicroF1": 0.9765090389132876, "MacroF1": 0.9763153416047448, "Memory in Mb": 16.169885635375977, "Time in s": 10037.443626 }, { "step": 10200, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9758799882341406, "MicroF1": 0.9758799882341406, "MacroF1": 0.9755246287395946, "Memory in Mb": 14.205968856811523, "Time in s": 10844.068015 }, { "step": 10608, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9755821627227302, "MicroF1": 0.9755821627227302, "MacroF1": 0.9754319444516872, "Memory in Mb": 12.997503280639648, "Time in s": 11685.064117 }, { "step": 11016, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9759418974126192, "MicroF1": 0.9759418974126192, "MacroF1": 0.9761027289556774, "Memory in Mb": 12.962043762207031, "Time in s": 12559.39796 }, { "step": 11424, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9760133064869124, "MicroF1": 0.9760133064869124, "MacroF1": 0.9760613734021468, "Memory in Mb": 14.09043312072754, "Time in s": 13467.395857 }, { "step": 11832, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754881244188996, "MicroF1": 0.9754881244188996, "MacroF1": 0.9753195915858492, "Memory in Mb": 14.295487403869627, "Time in s": 14408.853786 }, { "step": 12240, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9759784296102624, "MicroF1": 0.9759784296102624, "MacroF1": 0.9761779987511396, "Memory in Mb": 15.044499397277832, "Time in s": 15385.688043 }, { "step": 12648, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9762789594370206, "MicroF1": 0.9762789594370206, "MacroF1": 0.9764127823145236, "Memory in Mb": 15.120206832885742, "Time in s": 16404.149055 }, { "step": 13056, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9758713136729222, "MicroF1": 0.975871313672922, "MacroF1": 0.975797420384815, "Memory in Mb": 15.049361228942873, "Time in s": 17460.942559000003 }, { "step": 13464, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9757112084973631, "MicroF1": 0.9757112084973631, "MacroF1": 0.9757165619520196, "Memory in Mb": 15.162266731262209, "Time in s": 18558.798501 }, { "step": 13872, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9759930790858626, "MicroF1": 0.9759930790858626, "MacroF1": 0.9761084708221816, "Memory in Mb": 15.711796760559082, "Time in s": 19695.838422 }, { "step": 14280, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754884795854052, "MicroF1": 0.9754884795854052, "MacroF1": 0.975424480421301, "Memory in Mb": 16.988737106323242, "Time in s": 20872.643227 }, { "step": 14688, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.975624702117519, "MicroF1": 0.975624702117519, "MacroF1": 0.9757017096421696, "Memory in Mb": 17.869779586791992, "Time in s": 22084.930025 }, { "step": 15096, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9757535607817158, "MicroF1": 0.9757535607817158, "MacroF1": 0.9758249143111628, "Memory in Mb": 17.579912185668945, "Time in s": 23330.568569000003 }, { "step": 15504, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9755531187512094, "MicroF1": 0.9755531187512094, "MacroF1": 0.9755669148190674, "Memory in Mb": 16.59157657623291, "Time in s": 24610.336028 }, { "step": 15912, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9756772044497516, "MicroF1": 0.9756772044497516, "MacroF1": 0.97573890775282, "Memory in Mb": 16.193113327026367, "Time in s": 25925.188427 }, { "step": 16320, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9759176420123782, "MicroF1": 0.9759176420123782, "MacroF1": 0.9759886766110538, "Memory in Mb": 16.353660583496094, "Time in s": 27266.573062 }, { "step": 16728, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9756680815448078, "MicroF1": 0.9756680815448078, "MacroF1": 0.9756766431570708, "Memory in Mb": 17.00908374786377, "Time in s": 28641.859399 }, { "step": 17136, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9758389261744966, "MicroF1": 0.9758389261744966, "MacroF1": 0.975891563489883, "Memory in Mb": 18.364989280700684, "Time in s": 30047.550521 }, { "step": 17544, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9753747933648748, "MicroF1": 0.9753747933648748, "MacroF1": 0.975363882573194, "Memory in Mb": 17.298136711120605, "Time in s": 31485.782589 }, { "step": 17952, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9753217090969862, "MicroF1": 0.9753217090969862, "MacroF1": 0.9753429667022142, "Memory in Mb": 16.72727108001709, "Time in s": 32956.927282000004 }, { "step": 18360, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754888610490768, "MicroF1": 0.9754888610490768, "MacroF1": 0.9755190387029732, "Memory in Mb": 17.51059913635254, "Time in s": 34461.639008000006 }, { "step": 18768, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9757553151809026, "MicroF1": 0.9757553151809026, "MacroF1": 0.9757835195290104, "Memory in Mb": 18.871691703796387, "Time in s": 35998.873267 }, { "step": 19176, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754367666232072, "MicroF1": 0.9754367666232072, "MacroF1": 0.9754369138844644, "Memory in Mb": 17.42948341369629, "Time in s": 37568.082084 }, { "step": 19584, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754889444926722, "MicroF1": 0.9754889444926722, "MacroF1": 0.9754964783302286, "Memory in Mb": 17.978480339050293, "Time in s": 39170.395427 }, { "step": 19992, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9756390375669052, "MicroF1": 0.9756390375669052, "MacroF1": 0.975642520227376, "Memory in Mb": 19.26256561279297, "Time in s": 40805.125646 }, { "step": 20400, "track": "Multiclass classification", "model": "Stacking", "dataset": "Keystroke", "Accuracy": 0.9754889945585568, "MicroF1": 0.9754889945585568, "MacroF1": 0.9754863274548964, "Memory in Mb": 18.711057662963867, "Time in s": 42471.761869 }, { "step": 46, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.4666666666666667, "MicroF1": 0.4666666666666667, "MacroF1": 0.3890768588137009, "Memory in Mb": 0.9137420654296876, "Time in s": 0.663852 }, { "step": 92, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.6153846153846154, "MicroF1": 0.6153846153846154, "MacroF1": 0.617040786788686, "Memory in Mb": 0.9906883239746094, "Time in s": 2.032737 }, { "step": 138, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.6715328467153284, "MicroF1": 0.6715328467153284, "MacroF1": 0.6884491245817251, "Memory in Mb": 1.067914962768555, "Time in s": 4.226265 }, { "step": 184, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7049180327868853, "MicroF1": 0.7049180327868853, "MacroF1": 0.7194266051408907, "Memory in Mb": 1.1443958282470703, "Time in s": 7.386208 }, { "step": 230, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7292576419213974, "MicroF1": 0.7292576419213974, "MacroF1": 0.7448338459304749, "Memory in Mb": 1.2214689254760742, "Time in s": 11.723904 }, { "step": 276, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7381818181818182, "MicroF1": 0.7381818181818182, "MacroF1": 0.7559766728000937, "Memory in Mb": 1.2995519638061523, "Time in s": 17.331033 }, { "step": 322, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7538940809968847, "MicroF1": 0.7538940809968847, "MacroF1": 0.7616248500949714, "Memory in Mb": 1.3766565322875977, "Time in s": 24.26159 }, { "step": 368, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.773841961852861, "MicroF1": 0.7738419618528611, "MacroF1": 0.7772939373537765, "Memory in Mb": 1.4532833099365234, "Time in s": 32.770568000000004 }, { "step": 414, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7820823244552058, "MicroF1": 0.7820823244552059, "MacroF1": 0.7854200812154107, "Memory in Mb": 1.530414581298828, "Time in s": 42.983195 }, { "step": 460, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7777777777777778, "MicroF1": 0.7777777777777778, "MacroF1": 0.7796254955467015, "Memory in Mb": 1.6075658798217771, "Time in s": 54.886431 }, { "step": 506, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7861386138613862, "MicroF1": 0.7861386138613862, "MacroF1": 0.7886239053396241, "Memory in Mb": 3.8640270233154297, "Time in s": 87.00222099999999 }, { "step": 552, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7858439201451906, "MicroF1": 0.7858439201451906, "MacroF1": 0.7889431335032357, "Memory in Mb": 4.088808059692383, "Time in s": 121.00394599999998 }, { "step": 598, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7906197654941374, "MicroF1": 0.7906197654941374, "MacroF1": 0.7944387660679091, "Memory in Mb": 4.304059028625488, "Time in s": 157.00397999999998 }, { "step": 644, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7853810264385692, "MicroF1": 0.7853810264385692, "MacroF1": 0.7901251252871709, "Memory in Mb": 4.532710075378418, "Time in s": 195.073691 }, { "step": 690, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7895500725689405, "MicroF1": 0.7895500725689405, "MacroF1": 0.7935315861788143, "Memory in Mb": 4.759090423583984, "Time in s": 235.272046 }, { "step": 736, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7863945578231293, "MicroF1": 0.7863945578231294, "MacroF1": 0.7911065855691086, "Memory in Mb": 4.991429328918457, "Time in s": 277.59962 }, { "step": 782, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7887323943661971, "MicroF1": 0.7887323943661971, "MacroF1": 0.792926322670609, "Memory in Mb": 5.219735145568848, "Time in s": 322.071315 }, { "step": 828, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7896009673518742, "MicroF1": 0.7896009673518742, "MacroF1": 0.7950712422059908, "Memory in Mb": 5.452417373657227, "Time in s": 368.82718 }, { "step": 874, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7938144329896907, "MicroF1": 0.7938144329896907, "MacroF1": 0.7979586706142276, "Memory in Mb": 5.699496269226074, "Time in s": 417.885664 }, { "step": 920, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.794341675734494, "MicroF1": 0.794341675734494, "MacroF1": 0.7973145688626199, "Memory in Mb": 5.9376373291015625, "Time in s": 469.16999 }, { "step": 966, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7937823834196891, "MicroF1": 0.7937823834196891, "MacroF1": 0.7958827691316667, "Memory in Mb": 6.182188987731934, "Time in s": 522.9385980000001 }, { "step": 1012, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7912957467853611, "MicroF1": 0.7912957467853611, "MacroF1": 0.7931630938612351, "Memory in Mb": 6.34267520904541, "Time in s": 579.2700850000001 }, { "step": 1058, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.793755912961211, "MicroF1": 0.7937559129612108, "MacroF1": 0.7947921362588558, "Memory in Mb": 6.295009613037109, "Time in s": 638.2805060000001 }, { "step": 1104, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7941976427923844, "MicroF1": 0.7941976427923844, "MacroF1": 0.7951664828862093, "Memory in Mb": 6.2213640213012695, "Time in s": 699.725726 }, { "step": 1150, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7954743255004352, "MicroF1": 0.7954743255004351, "MacroF1": 0.7958304956922065, "Memory in Mb": 6.151959419250488, "Time in s": 763.5071 }, { "step": 1196, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.796652719665272, "MicroF1": 0.796652719665272, "MacroF1": 0.7972397572733622, "Memory in Mb": 6.087224006652832, "Time in s": 829.5043310000001 }, { "step": 1242, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7953263497179693, "MicroF1": 0.7953263497179693, "MacroF1": 0.795947547023496, "Memory in Mb": 6.001987457275391, "Time in s": 897.6078460000001 }, { "step": 1288, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7995337995337995, "MicroF1": 0.7995337995337995, "MacroF1": 0.799082939294124, "Memory in Mb": 5.924266815185547, "Time in s": 967.722432 }, { "step": 1334, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7981995498874719, "MicroF1": 0.7981995498874719, "MacroF1": 0.7978549794399667, "Memory in Mb": 5.872907638549805, "Time in s": 1039.926656 }, { "step": 1380, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.7991298042059464, "MicroF1": 0.7991298042059464, "MacroF1": 0.799072028035076, "Memory in Mb": 5.784454345703125, "Time in s": 1114.0085680000002 }, { "step": 1426, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8007017543859649, "MicroF1": 0.8007017543859649, "MacroF1": 0.799801266098334, "Memory in Mb": 5.781437873840332, "Time in s": 1190.125915 }, { "step": 1472, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8042148198504419, "MicroF1": 0.8042148198504419, "MacroF1": 0.8016037490391381, "Memory in Mb": 5.805401802062988, "Time in s": 1268.322504 }, { "step": 1518, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8048780487804879, "MicroF1": 0.8048780487804877, "MacroF1": 0.8013581039030082, "Memory in Mb": 5.915700912475586, "Time in s": 1348.933518 }, { "step": 1564, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8048624440179143, "MicroF1": 0.8048624440179143, "MacroF1": 0.8017038254481382, "Memory in Mb": 6.069503784179688, "Time in s": 1431.999326 }, { "step": 1610, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8048477315102548, "MicroF1": 0.8048477315102549, "MacroF1": 0.8009666848419111, "Memory in Mb": 6.138180732727051, "Time in s": 1517.316045 }, { "step": 1656, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.804833836858006, "MicroF1": 0.804833836858006, "MacroF1": 0.8009346118743482, "Memory in Mb": 6.15428638458252, "Time in s": 1604.689641 }, { "step": 1702, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8048206937095826, "MicroF1": 0.8048206937095828, "MacroF1": 0.802987300619633, "Memory in Mb": 6.14796257019043, "Time in s": 1694.105126 }, { "step": 1748, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8065254722381225, "MicroF1": 0.8065254722381225, "MacroF1": 0.8041280306488863, "Memory in Mb": 6.185528755187988, "Time in s": 1785.64513 }, { "step": 1794, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8070273284997211, "MicroF1": 0.8070273284997211, "MacroF1": 0.8033862119520573, "Memory in Mb": 6.18717098236084, "Time in s": 1879.221363 }, { "step": 1840, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8085916258836324, "MicroF1": 0.8085916258836324, "MacroF1": 0.8051706679397826, "Memory in Mb": 6.228180885314941, "Time in s": 1974.88599 }, { "step": 1886, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8074270557029177, "MicroF1": 0.8074270557029178, "MacroF1": 0.8044133208197751, "Memory in Mb": 6.244633674621582, "Time in s": 2072.712055 }, { "step": 1932, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8073537027446919, "MicroF1": 0.8073537027446919, "MacroF1": 0.8036280810428232, "Memory in Mb": 6.232837677001953, "Time in s": 2172.610836 }, { "step": 1978, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.808295397066262, "MicroF1": 0.808295397066262, "MacroF1": 0.8041943782356388, "Memory in Mb": 6.225313186645508, "Time in s": 2274.502409 }, { "step": 2024, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8096885813148789, "MicroF1": 0.809688581314879, "MacroF1": 0.8043903689108628, "Memory in Mb": 6.209332466125488, "Time in s": 2378.336668 }, { "step": 2070, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8086031899468342, "MicroF1": 0.8086031899468342, "MacroF1": 0.8034099584264852, "Memory in Mb": 6.192641258239746, "Time in s": 2484.108554 }, { "step": 2116, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.808983451536643, "MicroF1": 0.808983451536643, "MacroF1": 0.8029929757635029, "Memory in Mb": 6.163993835449219, "Time in s": 2591.83622 }, { "step": 2162, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8093475242943082, "MicroF1": 0.8093475242943081, "MacroF1": 0.8028985652670257, "Memory in Mb": 6.160528182983398, "Time in s": 2701.493184 }, { "step": 2208, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8110557317625736, "MicroF1": 0.8110557317625736, "MacroF1": 0.8037088502350873, "Memory in Mb": 6.127141952514648, "Time in s": 2812.975729 }, { "step": 2254, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8078118064802485, "MicroF1": 0.8078118064802485, "MacroF1": 0.8004652010359966, "Memory in Mb": 6.094814300537109, "Time in s": 2926.384262 }, { "step": 2300, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8064375815571988, "MicroF1": 0.8064375815571988, "MacroF1": 0.7990276111502428, "Memory in Mb": 6.073050498962402, "Time in s": 3041.734776 }, { "step": 2310, "track": "Multiclass classification", "model": "Voting", "dataset": "ImageSegments", "Accuracy": 0.8064097011693374, "MicroF1": 0.8064097011693374, "MacroF1": 0.7989986920740723, "Memory in Mb": 6.073922157287598, "Time in s": 3157.943153 }, { "step": 1056, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6293838862559241, "MicroF1": 0.6293838862559241, "MacroF1": 0.5938169901557457, "Memory in Mb": 7.681754112243652, "Time in s": 78.197886 }, { "step": 2112, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6290857413548081, "MicroF1": 0.6290857413548081, "MacroF1": 0.5936238360694311, "Memory in Mb": 7.563845634460449, "Time in s": 217.436369 }, { "step": 3168, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.625197347647616, "MicroF1": 0.625197347647616, "MacroF1": 0.5890732389154221, "Memory in Mb": 7.54627799987793, "Time in s": 406.781755 }, { "step": 4224, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.624437603599337, "MicroF1": 0.624437603599337, "MacroF1": 0.5890978975177876, "Memory in Mb": 7.509035110473633, "Time in s": 643.136123 }, { "step": 5280, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6309907179390036, "MicroF1": 0.6309907179390036, "MacroF1": 0.5943307513870396, "Memory in Mb": 7.529419898986816, "Time in s": 922.055301 }, { "step": 6336, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6249408050513023, "MicroF1": 0.6249408050513023, "MacroF1": 0.5899587518293812, "Memory in Mb": 7.541637420654297, "Time in s": 1240.879558 }, { "step": 7392, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6242727641726424, "MicroF1": 0.6242727641726424, "MacroF1": 0.589208790087756, "Memory in Mb": 7.519943237304687, "Time in s": 1598.2590730000002 }, { "step": 8448, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6266129986977625, "MicroF1": 0.6266129986977625, "MacroF1": 0.5910042020201396, "Memory in Mb": 7.600367546081543, "Time in s": 1990.9287910000005 }, { "step": 9504, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6255919183415763, "MicroF1": 0.6255919183415763, "MacroF1": 0.5892477749449755, "Memory in Mb": 7.551809310913086, "Time in s": 2416.671036 }, { "step": 10560, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6269533099725353, "MicroF1": 0.6269533099725353, "MacroF1": 0.5906555376897765, "Memory in Mb": 7.57810115814209, "Time in s": 2875.240995 }, { "step": 11616, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6254842875591907, "MicroF1": 0.6254842875591907, "MacroF1": 0.5899069142128334, "Memory in Mb": 7.574300765991211, "Time in s": 3366.8452850000003 }, { "step": 12672, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6276536974193039, "MicroF1": 0.6276536974193039, "MacroF1": 0.5948280902959312, "Memory in Mb": 7.593076705932617, "Time in s": 3891.533291 }, { "step": 13728, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6419465287389816, "MicroF1": 0.6419465287389816, "MacroF1": 0.6240594787506325, "Memory in Mb": 7.568525314331055, "Time in s": 4449.097087 }, { "step": 14784, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6349861327200162, "MicroF1": 0.6349861327200162, "MacroF1": 0.6168664949740267, "Memory in Mb": 7.497129440307617, "Time in s": 5038.3500540000005 }, { "step": 15840, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6042048109097796, "MicroF1": 0.6042048109097796, "MacroF1": 0.5876183517420878, "Memory in Mb": 7.622871398925781, "Time in s": 5663.9066330000005 }, { "step": 16896, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5831311038768866, "MicroF1": 0.5831311038768866, "MacroF1": 0.5677288238088704, "Memory in Mb": 7.5406084060668945, "Time in s": 6323.428796 }, { "step": 17952, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5683805916104953, "MicroF1": 0.5683805916104953, "MacroF1": 0.5530005563922373, "Memory in Mb": 7.511743545532227, "Time in s": 7015.247243 }, { "step": 19008, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5655811016993739, "MicroF1": 0.5655811016993739, "MacroF1": 0.5465928919365096, "Memory in Mb": 7.569133758544922, "Time in s": 7739.601247 }, { "step": 20064, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5718985196630614, "MicroF1": 0.5718985196630614, "MacroF1": 0.5506497035356593, "Memory in Mb": 8.179316520690918, "Time in s": 8496.204598999999 }, { "step": 21120, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5817510298783086, "MicroF1": 0.5817510298783086, "MacroF1": 0.55937505855693, "Memory in Mb": 8.13927173614502, "Time in s": 9285.092110999998 }, { "step": 22176, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.5905298759864712, "MicroF1": 0.5905298759864712, "MacroF1": 0.5668099949242361, "Memory in Mb": 8.13715648651123, "Time in s": 10104.551326 }, { "step": 23232, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6004907236020834, "MicroF1": 0.6004907236020834, "MacroF1": 0.5756153967719769, "Memory in Mb": 8.254791259765625, "Time in s": 10955.282648 }, { "step": 24288, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6088854119487792, "MicroF1": 0.6088854119487792, "MacroF1": 0.5822871692574689, "Memory in Mb": 8.217899322509766, "Time in s": 11836.441737999998 }, { "step": 25344, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.617014560233595, "MicroF1": 0.617014560233595, "MacroF1": 0.5890646667396601, "Memory in Mb": 8.13050651550293, "Time in s": 12747.590801999995 }, { "step": 26400, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6237357475661957, "MicroF1": 0.6237357475661957, "MacroF1": 0.5942060376379845, "Memory in Mb": 8.178851127624512, "Time in s": 13688.250944999996 }, { "step": 27456, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6299763248952832, "MicroF1": 0.6299763248952832, "MacroF1": 0.5983574644866619, "Memory in Mb": 8.215079307556152, "Time in s": 14661.447404999995 }, { "step": 28512, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6312651257409421, "MicroF1": 0.6312651257409421, "MacroF1": 0.6016879522351425, "Memory in Mb": 8.160200119018555, "Time in s": 15669.084531999995 }, { "step": 29568, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6310751851726587, "MicroF1": 0.6310751851726587, "MacroF1": 0.6062390002054064, "Memory in Mb": 8.153844833374023, "Time in s": 16709.899933999994 }, { "step": 30624, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6313228619011854, "MicroF1": 0.6313228619011854, "MacroF1": 0.610710416812842, "Memory in Mb": 8.221953392028809, "Time in s": 17785.196262999994 }, { "step": 31680, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6320590927743931, "MicroF1": 0.6320590927743931, "MacroF1": 0.614817700164209, "Memory in Mb": 8.237210273742676, "Time in s": 18894.010558999995 }, { "step": 32736, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6331144035436077, "MicroF1": 0.6331144035436077, "MacroF1": 0.6184679282473909, "Memory in Mb": 8.208189964294434, "Time in s": 20033.816622999995 }, { "step": 33792, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6291616110798733, "MicroF1": 0.6291616110798733, "MacroF1": 0.6151628967287334, "Memory in Mb": 8.149331092834473, "Time in s": 21206.789184999998 }, { "step": 34848, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6245587855482538, "MicroF1": 0.6245587855482538, "MacroF1": 0.6103108800280445, "Memory in Mb": 8.270771980285645, "Time in s": 22409.569843999994 }, { "step": 35904, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6211737180736986, "MicroF1": 0.6211737180736986, "MacroF1": 0.6063163580543118, "Memory in Mb": 8.246885299682617, "Time in s": 23639.112909 }, { "step": 36960, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6171433209772992, "MicroF1": 0.6171433209772992, "MacroF1": 0.6018416894357856, "Memory in Mb": 8.222872734069824, "Time in s": 24895.212451 }, { "step": 38016, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6153360515585953, "MicroF1": 0.6153360515585953, "MacroF1": 0.5996210858832133, "Memory in Mb": 8.711487770080566, "Time in s": 26177.407049999994 }, { "step": 39072, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.613472908295155, "MicroF1": 0.613472908295155, "MacroF1": 0.5980758777202522, "Memory in Mb": 8.84398365020752, "Time in s": 27486.887242999997 }, { "step": 40128, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6139008647544048, "MicroF1": 0.6139008647544048, "MacroF1": 0.5993833357378361, "Memory in Mb": 9.00393295288086, "Time in s": 28821.579146999997 }, { "step": 41184, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6157395041643396, "MicroF1": 0.6157395041643396, "MacroF1": 0.6018873090815099, "Memory in Mb": 8.895415306091309, "Time in s": 30174.675792999995 }, { "step": 42240, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6179833802883591, "MicroF1": 0.6179833802883591, "MacroF1": 0.6047393094362844, "Memory in Mb": 8.820836067199707, "Time in s": 31551.592344999997 }, { "step": 43296, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6202101859337106, "MicroF1": 0.6202101859337106, "MacroF1": 0.60743097275183, "Memory in Mb": 8.80302619934082, "Time in s": 32950.21258099999 }, { "step": 44352, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6221054767648982, "MicroF1": 0.6221054767648982, "MacroF1": 0.6097047537791253, "Memory in Mb": 8.807188034057617, "Time in s": 34370.71930599999 }, { "step": 45408, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.623736428304006, "MicroF1": 0.623736428304006, "MacroF1": 0.6112415003179203, "Memory in Mb": 8.906554222106934, "Time in s": 35814.22252799999 }, { "step": 46464, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6259389191399608, "MicroF1": 0.6259389191399608, "MacroF1": 0.6133867892257391, "Memory in Mb": 8.822076797485352, "Time in s": 37279.498287 }, { "step": 47520, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6274542814453166, "MicroF1": 0.6274542814453166, "MacroF1": 0.6153714367024555, "Memory in Mb": 8.875716209411621, "Time in s": 38770.246246 }, { "step": 48576, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6317858980957283, "MicroF1": 0.6317858980957283, "MacroF1": 0.6202967225132047, "Memory in Mb": 8.86828327178955, "Time in s": 40284.403256 }, { "step": 49632, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6360137817090125, "MicroF1": 0.6360137817090125, "MacroF1": 0.6247992459885968, "Memory in Mb": 8.835649490356445, "Time in s": 41820.805008 }, { "step": 50688, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6403811628228145, "MicroF1": 0.6403811628228145, "MacroF1": 0.6293790828873279, "Memory in Mb": 8.924153327941895, "Time in s": 43378.957976 }, { "step": 51744, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6455559206076185, "MicroF1": 0.6455559206076185, "MacroF1": 0.6346828420183047, "Memory in Mb": 9.21804904937744, "Time in s": 44959.107881 }, { "step": 52800, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.648269853595712, "MicroF1": 0.648269853595712, "MacroF1": 0.6377385869395499, "Memory in Mb": 9.400546073913574, "Time in s": 46560.782 }, { "step": 52848, "track": "Multiclass classification", "model": "Voting", "dataset": "Insects", "Accuracy": 0.6485325562472799, "MicroF1": 0.6485325562472799, "MacroF1": 0.637999701607352, "Memory in Mb": 9.406517028808594, "Time in s": 48163.738895 }, { "step": 408, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9828009828009828, "MicroF1": 0.9828009828009828, "MacroF1": 0.6067632850241546, "Memory in Mb": 1.4587059020996094, "Time in s": 10.139614 }, { "step": 816, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9496932515337424, "MicroF1": 0.9496932515337424, "MacroF1": 0.7435135353411919, "Memory in Mb": 6.019382476806641, "Time in s": 66.737739 }, { "step": 1224, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9149632052330336, "MicroF1": 0.9149632052330336, "MacroF1": 0.9012024099743488, "Memory in Mb": 7.076447486877441, "Time in s": 151.07716299999998 }, { "step": 1632, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9258123850398527, "MicroF1": 0.9258123850398527, "MacroF1": 0.913338738884437, "Memory in Mb": 7.232892990112305, "Time in s": 261.540164 }, { "step": 2040, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9230014713094654, "MicroF1": 0.9230014713094654, "MacroF1": 0.9086113906821328, "Memory in Mb": 7.553393363952637, "Time in s": 397.836215 }, { "step": 2448, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8961994278708623, "MicroF1": 0.8961994278708623, "MacroF1": 0.8992132713257572, "Memory in Mb": 7.640434265136719, "Time in s": 558.733108 }, { "step": 2856, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.9001751313485113, "MicroF1": 0.9001751313485113, "MacroF1": 0.8860451027148403, "Memory in Mb": 7.9326982498168945, "Time in s": 743.600486 }, { "step": 3264, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8924302788844621, "MicroF1": 0.8924302788844621, "MacroF1": 0.8761196773917237, "Memory in Mb": 8.074724197387695, "Time in s": 952.077233 }, { "step": 3672, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8874965949332607, "MicroF1": 0.8874965949332607, "MacroF1": 0.8846937712308092, "Memory in Mb": 8.20841121673584, "Time in s": 1184.393658 }, { "step": 4080, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8815886246629075, "MicroF1": 0.8815886246629075, "MacroF1": 0.868452721773406, "Memory in Mb": 8.525882720947266, "Time in s": 1441.208937 }, { "step": 4488, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8760864720303098, "MicroF1": 0.8760864720303098, "MacroF1": 0.8834419600614621, "Memory in Mb": 8.681946754455566, "Time in s": 1719.7568239999998 }, { "step": 4896, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8737487231869254, "MicroF1": 0.8737487231869254, "MacroF1": 0.8797220914000274, "Memory in Mb": 8.834684371948242, "Time in s": 2018.974207 }, { "step": 5304, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8693192532528757, "MicroF1": 0.8693192532528757, "MacroF1": 0.8538682361373632, "Memory in Mb": 9.067034721374512, "Time in s": 2339.699668 }, { "step": 5712, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8607949571003327, "MicroF1": 0.8607949571003327, "MacroF1": 0.8654889627515672, "Memory in Mb": 9.271133422851562, "Time in s": 2680.904224 }, { "step": 6120, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8561856512502043, "MicroF1": 0.8561856512502043, "MacroF1": 0.84095068957581, "Memory in Mb": 9.378315925598145, "Time in s": 3042.663698 }, { "step": 6528, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8434196414891987, "MicroF1": 0.8434196414891987, "MacroF1": 0.8427350578509161, "Memory in Mb": 9.608606338500977, "Time in s": 3424.478417 }, { "step": 6936, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8392213410237923, "MicroF1": 0.8392213410237923, "MacroF1": 0.8447429510460126, "Memory in Mb": 9.751982688903809, "Time in s": 3824.86879 }, { "step": 7344, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8454310227427482, "MicroF1": 0.8454310227427482, "MacroF1": 0.847842289102327, "Memory in Mb": 9.957889556884766, "Time in s": 4243.00141 }, { "step": 7752, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8456973293768546, "MicroF1": 0.8456973293768547, "MacroF1": 0.8480563212460421, "Memory in Mb": 10.19985294342041, "Time in s": 4680.993142 }, { "step": 8160, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8469175144012747, "MicroF1": 0.8469175144012746, "MacroF1": 0.8472851046009279, "Memory in Mb": 10.418806076049805, "Time in s": 5138.9878340000005 }, { "step": 8568, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8469709349830746, "MicroF1": 0.8469709349830746, "MacroF1": 0.8501227536717817, "Memory in Mb": 10.607142448425291, "Time in s": 5616.664707000001 }, { "step": 8976, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8475766016713092, "MicroF1": 0.8475766016713092, "MacroF1": 0.8507851780426926, "Memory in Mb": 10.772598266601562, "Time in s": 6113.940894000001 }, { "step": 9384, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8459980816370031, "MicroF1": 0.8459980816370031, "MacroF1": 0.8471668648040658, "Memory in Mb": 10.97368335723877, "Time in s": 6631.342845000001 }, { "step": 9792, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8418956184250843, "MicroF1": 0.8418956184250843, "MacroF1": 0.8426049398612477, "Memory in Mb": 11.192140579223633, "Time in s": 7169.901201000001 }, { "step": 10200, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8344935778017453, "MicroF1": 0.8344935778017454, "MacroF1": 0.8308153568434791, "Memory in Mb": 11.354521751403809, "Time in s": 7729.92345 }, { "step": 10608, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.817384745922504, "MicroF1": 0.817384745922504, "MacroF1": 0.8105787344487394, "Memory in Mb": 11.59365177154541, "Time in s": 8312.440227000001 }, { "step": 11016, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8127099409895597, "MicroF1": 0.8127099409895597, "MacroF1": 0.8142119266109252, "Memory in Mb": 11.793928146362305, "Time in s": 8918.030696000002 }, { "step": 11424, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8079313665411888, "MicroF1": 0.8079313665411888, "MacroF1": 0.8037472320719128, "Memory in Mb": 11.945178031921388, "Time in s": 9547.170938 }, { "step": 11832, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8040740427689967, "MicroF1": 0.8040740427689967, "MacroF1": 0.8039730126613296, "Memory in Mb": 12.203582763671877, "Time in s": 10200.281645 }, { "step": 12240, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8072554947299616, "MicroF1": 0.8072554947299616, "MacroF1": 0.8097160881214022, "Memory in Mb": 12.414502143859863, "Time in s": 10877.318664 }, { "step": 12648, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8043014153554202, "MicroF1": 0.8043014153554202, "MacroF1": 0.8038043720799647, "Memory in Mb": 12.561456680297852, "Time in s": 11578.515438 }, { "step": 13056, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7996936039831483, "MicroF1": 0.7996936039831483, "MacroF1": 0.8010057260657798, "Memory in Mb": 12.889472007751465, "Time in s": 12304.325005 }, { "step": 13464, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7974448488449826, "MicroF1": 0.7974448488449826, "MacroF1": 0.7996515087686575, "Memory in Mb": 12.99599838256836, "Time in s": 13054.609905 }, { "step": 13872, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7978516329031793, "MicroF1": 0.7978516329031793, "MacroF1": 0.8006715750629478, "Memory in Mb": 13.20394229888916, "Time in s": 13829.291085 }, { "step": 14280, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.797674907206387, "MicroF1": 0.7976749072063871, "MacroF1": 0.8002875748518964, "Memory in Mb": 13.36452293395996, "Time in s": 14628.347686 }, { "step": 14688, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8007761966364813, "MicroF1": 0.8007761966364813, "MacroF1": 0.8043248634763072, "Memory in Mb": 13.53370189666748, "Time in s": 15451.756014 }, { "step": 15096, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8051010268300762, "MicroF1": 0.8051010268300763, "MacroF1": 0.8085780284871096, "Memory in Mb": 13.774932861328123, "Time in s": 16299.960754 }, { "step": 15504, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.8052634973876024, "MicroF1": 0.8052634973876024, "MacroF1": 0.8077470357827514, "Memory in Mb": 13.933537483215332, "Time in s": 17172.988913 }, { "step": 15912, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7978756834894098, "MicroF1": 0.7978756834894098, "MacroF1": 0.7983136026998061, "Memory in Mb": 14.138628005981444, "Time in s": 18070.675966000003 }, { "step": 16320, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.793369691770329, "MicroF1": 0.7933696917703291, "MacroF1": 0.7956625263629296, "Memory in Mb": 14.30509090423584, "Time in s": 18993.33345 }, { "step": 16728, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7901596221677527, "MicroF1": 0.7901596221677527, "MacroF1": 0.7932579365729884, "Memory in Mb": 14.447582244873049, "Time in s": 19941.842904 }, { "step": 17136, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7861686606361249, "MicroF1": 0.7861686606361248, "MacroF1": 0.7888822346867281, "Memory in Mb": 14.767212867736816, "Time in s": 20916.572711 }, { "step": 17544, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.780425240836801, "MicroF1": 0.780425240836801, "MacroF1": 0.7838193866310822, "Memory in Mb": 14.989240646362305, "Time in s": 21922.215184 }, { "step": 17952, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7802907915993538, "MicroF1": 0.7802907915993537, "MacroF1": 0.7845235361146662, "Memory in Mb": 15.200251579284668, "Time in s": 22957.213951 }, { "step": 18360, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.783975162045863, "MicroF1": 0.783975162045863, "MacroF1": 0.7883700169311393, "Memory in Mb": 15.375930786132812, "Time in s": 24020.765336 }, { "step": 18768, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7869664837214259, "MicroF1": 0.7869664837214259, "MacroF1": 0.7913854757843782, "Memory in Mb": 15.5132417678833, "Time in s": 25114.453204 }, { "step": 19176, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7816427640156454, "MicroF1": 0.7816427640156454, "MacroF1": 0.7858184292134073, "Memory in Mb": 15.77665901184082, "Time in s": 26236.293864000003 }, { "step": 19584, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7846090997293571, "MicroF1": 0.7846090997293571, "MacroF1": 0.7893723685613512, "Memory in Mb": 15.996115684509276, "Time in s": 27388.205854000003 }, { "step": 19992, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7807013155920164, "MicroF1": 0.7807013155920164, "MacroF1": 0.785620728786203, "Memory in Mb": 16.12063980102539, "Time in s": 28569.915626 }, { "step": 20400, "track": "Multiclass classification", "model": "Voting", "dataset": "Keystroke", "Accuracy": 0.7791068189617139, "MicroF1": 0.7791068189617139, "MacroF1": 0.7841355172773921, "Memory in Mb": 16.39253330230713, "Time in s": 29779.243894000003 }, { "step": 46, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1777777777777777, "MicroF1": 0.1777777777777777, "MacroF1": 0.1526026604973973, "Memory in Mb": 0.0013666152954101, "Time in s": 0.110776 }, { "step": 92, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1318681318681318, "MicroF1": 0.1318681318681318, "MacroF1": 0.1213108980966124, "Memory in Mb": 0.0013637542724609, "Time in s": 0.225611 }, { "step": 138, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1240875912408759, "MicroF1": 0.1240875912408759, "MacroF1": 0.1187445506554449, "Memory in Mb": 0.0013694763183593, "Time in s": 0.343639 }, { "step": 184, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1256830601092896, "MicroF1": 0.1256830601092896, "MacroF1": 0.1226298342307158, "Memory in Mb": 0.0013647079467773, "Time in s": 0.484524 }, { "step": 230, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1266375545851528, "MicroF1": 0.1266375545851528, "MacroF1": 0.1250385204120806, "Memory in Mb": 0.0013637542724609, "Time in s": 0.6292090000000001 }, { "step": 276, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1272727272727272, "MicroF1": 0.1272727272727272, "MacroF1": 0.1242790791814499, "Memory in Mb": 0.0013666152954101, "Time in s": 0.7861950000000001 }, { "step": 322, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1339563862928348, "MicroF1": 0.1339563862928348, "MacroF1": 0.1321003659624602, "Memory in Mb": 0.0013666152954101, "Time in s": 1.0166240000000002 }, { "step": 368, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1389645776566757, "MicroF1": 0.1389645776566757, "MacroF1": 0.1374501146297296, "Memory in Mb": 0.0013675689697265, "Time in s": 1.2507780000000002 }, { "step": 414, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1404358353510895, "MicroF1": 0.1404358353510895, "MacroF1": 0.1403581309694754, "Memory in Mb": 0.0013666152954101, "Time in s": 1.5223060000000002 }, { "step": 460, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1459694989106753, "MicroF1": 0.1459694989106753, "MacroF1": 0.1456314871072794, "Memory in Mb": 0.0013656616210937, "Time in s": 1.7974560000000002 }, { "step": 506, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1386138613861386, "MicroF1": 0.1386138613861386, "MacroF1": 0.1383381610231494, "Memory in Mb": 0.0013666152954101, "Time in s": 2.07562 }, { "step": 552, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1397459165154265, "MicroF1": 0.1397459165154265, "MacroF1": 0.1393865249177789, "Memory in Mb": 0.0013666152954101, "Time in s": 2.402759 }, { "step": 598, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1373534338358459, "MicroF1": 0.1373534338358459, "MacroF1": 0.1372798104345861, "Memory in Mb": 0.0013675689697265, "Time in s": 2.771723 }, { "step": 644, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1399688958009331, "MicroF1": 0.1399688958009331, "MacroF1": 0.1401757170901796, "Memory in Mb": 0.0013666152954101, "Time in s": 3.149556 }, { "step": 690, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1378809869375907, "MicroF1": 0.1378809869375907, "MacroF1": 0.1380151778455332, "Memory in Mb": 0.0013694763183593, "Time in s": 3.580436 }, { "step": 736, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1401360544217687, "MicroF1": 0.1401360544217687, "MacroF1": 0.1403108892795828, "Memory in Mb": 0.0013675689697265, "Time in s": 4.0152470000000005 }, { "step": 782, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1421254801536491, "MicroF1": 0.1421254801536491, "MacroF1": 0.1420930265541123, "Memory in Mb": 0.0013647079467773, "Time in s": 4.453992 }, { "step": 828, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1426844014510278, "MicroF1": 0.1426844014510278, "MacroF1": 0.1422987455304691, "Memory in Mb": 0.0013666152954101, "Time in s": 4.959761 }, { "step": 874, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.138602520045819, "MicroF1": 0.138602520045819, "MacroF1": 0.1384535269459527, "Memory in Mb": 0.0013647079467773, "Time in s": 5.469480000000001 }, { "step": 920, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1349292709466811, "MicroF1": 0.1349292709466811, "MacroF1": 0.1348083913046733, "Memory in Mb": 0.0013666152954101, "Time in s": 6.0005820000000005 }, { "step": 966, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1336787564766839, "MicroF1": 0.1336787564766839, "MacroF1": 0.1334917777444527, "Memory in Mb": 0.0013637542724609, "Time in s": 6.535053 }, { "step": 1012, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1325420375865479, "MicroF1": 0.1325420375865479, "MacroF1": 0.1324936677659038, "Memory in Mb": 0.0013675689697265, "Time in s": 7.07275 }, { "step": 1058, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1333964049195837, "MicroF1": 0.1333964049195837, "MacroF1": 0.1331834965440007, "Memory in Mb": 0.0013656616210937, "Time in s": 7.645426 }, { "step": 1104, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1341795104261106, "MicroF1": 0.1341795104261106, "MacroF1": 0.1340282652950153, "Memory in Mb": 0.0013666152954101, "Time in s": 8.221471000000001 }, { "step": 1150, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.134029590948651, "MicroF1": 0.134029590948651, "MacroF1": 0.1340639115051912, "Memory in Mb": 0.0013637542724609, "Time in s": 8.800858000000002 }, { "step": 1196, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1364016736401673, "MicroF1": 0.1364016736401673, "MacroF1": 0.1363948420172951, "Memory in Mb": 0.0013694763183593, "Time in s": 9.430169 }, { "step": 1242, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1394037066881547, "MicroF1": 0.1394037066881547, "MacroF1": 0.1391977238389222, "Memory in Mb": 0.0013637542724609, "Time in s": 10.062783 }, { "step": 1288, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1414141414141414, "MicroF1": 0.1414141414141414, "MacroF1": 0.1411871502321015, "Memory in Mb": 0.0013666152954101, "Time in s": 10.698372 }, { "step": 1334, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1432858214553638, "MicroF1": 0.1432858214553638, "MacroF1": 0.1430255327815666, "Memory in Mb": 0.0013637542724609, "Time in s": 11.387531 }, { "step": 1380, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1435823060188542, "MicroF1": 0.1435823060188542, "MacroF1": 0.1433209000486506, "Memory in Mb": 0.0013694763183593, "Time in s": 12.080639 }, { "step": 1426, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1417543859649122, "MicroF1": 0.1417543859649122, "MacroF1": 0.1414546655929112, "Memory in Mb": 0.0013694763183593, "Time in s": 12.777602000000002 }, { "step": 1472, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1393609789259007, "MicroF1": 0.1393609789259007, "MacroF1": 0.1390762971394262, "Memory in Mb": 0.0013647079467773, "Time in s": 13.546128 }, { "step": 1518, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1397495056031641, "MicroF1": 0.1397495056031641, "MacroF1": 0.1395136668589845, "Memory in Mb": 0.0013666152954101, "Time in s": 14.318195 }, { "step": 1564, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1369161868202175, "MicroF1": 0.1369161868202175, "MacroF1": 0.1366417047439511, "Memory in Mb": 0.0013666152954101, "Time in s": 15.093811 }, { "step": 1610, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1361093847110006, "MicroF1": 0.1361093847110006, "MacroF1": 0.1359768388190307, "Memory in Mb": 0.0013637542724609, "Time in s": 15.942934 }, { "step": 1656, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1365558912386707, "MicroF1": 0.1365558912386707, "MacroF1": 0.1363322462377459, "Memory in Mb": 0.0013694763183593, "Time in s": 16.795246000000002 }, { "step": 1702, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1393298059964726, "MicroF1": 0.1393298059964726, "MacroF1": 0.1390129627439909, "Memory in Mb": 0.0013675689697265, "Time in s": 17.650687 }, { "step": 1748, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1419576416714367, "MicroF1": 0.1419576416714367, "MacroF1": 0.1414719731272364, "Memory in Mb": 0.0013656616210937, "Time in s": 18.510738 }, { "step": 1794, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1422197434467373, "MicroF1": 0.1422197434467373, "MacroF1": 0.1419410396611007, "Memory in Mb": 0.0013647079467773, "Time in s": 19.374685 }, { "step": 1840, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1413811854268624, "MicroF1": 0.1413811854268624, "MacroF1": 0.1411432976659866, "Memory in Mb": 0.0013675689697265, "Time in s": 20.24245 }, { "step": 1886, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.140053050397878, "MicroF1": 0.140053050397878, "MacroF1": 0.1397325871382075, "Memory in Mb": 0.0013666152954101, "Time in s": 21.182873 }, { "step": 1932, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1429311237700673, "MicroF1": 0.1429311237700673, "MacroF1": 0.1427522922982585, "Memory in Mb": 0.0013666152954101, "Time in s": 22.12686 }, { "step": 1978, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1461810824481537, "MicroF1": 0.1461810824481537, "MacroF1": 0.1459715815160596, "Memory in Mb": 0.0013694763183593, "Time in s": 23.074113 }, { "step": 2024, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1443400889767671, "MicroF1": 0.1443400889767671, "MacroF1": 0.1441662523776106, "Memory in Mb": 0.0013694763183593, "Time in s": 24.067371 }, { "step": 2070, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1440309328177863, "MicroF1": 0.1440309328177863, "MacroF1": 0.1438554349712762, "Memory in Mb": 0.0013666152954101, "Time in s": 25.063921 }, { "step": 2116, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1446808510638297, "MicroF1": 0.1446808510638297, "MacroF1": 0.1446036231777657, "Memory in Mb": 0.0013637542724609, "Time in s": 26.06363 }, { "step": 2162, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1453031004164738, "MicroF1": 0.1453031004164738, "MacroF1": 0.1452046591382179, "Memory in Mb": 0.0013694763183593, "Time in s": 27.083891999999995 }, { "step": 2208, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1449932034435885, "MicroF1": 0.1449932034435885, "MacroF1": 0.1449110985199169, "Memory in Mb": 0.0013694763183593, "Time in s": 28.107944 }, { "step": 2254, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1464713715046604, "MicroF1": 0.1464713715046604, "MacroF1": 0.146404255341296, "Memory in Mb": 0.0013666152954101, "Time in s": 29.207951 }, { "step": 2300, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.1478903871248368, "MicroF1": 0.1478903871248368, "MacroF1": 0.1478868852481029, "Memory in Mb": 0.0013675689697265, "Time in s": 30.311507 }, { "step": 2310, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "ImageSegments", "Accuracy": 0.148116067561715, "MicroF1": 0.148116067561715, "MacroF1": 0.1481156678425267, "Memory in Mb": 0.0013694763183593, "Time in s": 31.415921 }, { "step": 1056, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1582938388625592, "MicroF1": 0.1582938388625592, "MacroF1": 0.1376212379233521, "Memory in Mb": 0.0013856887817382, "Time in s": 0.57267 }, { "step": 2112, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1657981999052581, "MicroF1": 0.1657981999052581, "MacroF1": 0.1511045106411843, "Memory in Mb": 0.0013856887817382, "Time in s": 1.690872 }, { "step": 3168, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1701926113040732, "MicroF1": 0.1701926113040732, "MacroF1": 0.1568151235503963, "Memory in Mb": 0.0013885498046875, "Time in s": 3.298143 }, { "step": 4224, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1659957376272791, "MicroF1": 0.1659957376272791, "MacroF1": 0.1525443315605066, "Memory in Mb": 0.0013856887817382, "Time in s": 5.473684 }, { "step": 5280, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1708656942602765, "MicroF1": 0.1708656942602765, "MacroF1": 0.1567667911399358, "Memory in Mb": 0.0013837814331054, "Time in s": 8.202311 }, { "step": 6336, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1737963693764798, "MicroF1": 0.1737963693764798, "MacroF1": 0.1613756819597299, "Memory in Mb": 0.0013837814331054, "Time in s": 11.448991 }, { "step": 7392, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1752130970098769, "MicroF1": 0.1752130970098769, "MacroF1": 0.1618940790413477, "Memory in Mb": 0.0013837814331054, "Time in s": 15.242684 }, { "step": 8448, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1772226826092103, "MicroF1": 0.1772226826092103, "MacroF1": 0.163740045170864, "Memory in Mb": 0.0013818740844726, "Time in s": 19.537217 }, { "step": 9504, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1773124276544249, "MicroF1": 0.1773124276544249, "MacroF1": 0.1637492974453096, "Memory in Mb": 0.0013885498046875, "Time in s": 24.318802 }, { "step": 10560, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1790889288758405, "MicroF1": 0.1790889288758405, "MacroF1": 0.1656421076747495, "Memory in Mb": 0.0013837814331054, "Time in s": 29.683683 }, { "step": 11616, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1789926818768833, "MicroF1": 0.1789926818768833, "MacroF1": 0.1655925383533761, "Memory in Mb": 0.0013856887817382, "Time in s": 35.598037000000005 }, { "step": 12672, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.1853050272275274, "MicroF1": 0.1853050272275274, "MacroF1": 0.182698099884098, "Memory in Mb": 0.0013866424560546, "Time in s": 41.981502000000006 }, { "step": 13728, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2479784366576819, "MicroF1": 0.2479784366576819, "MacroF1": 0.266039368455288, "Memory in Mb": 0.0013866424560546, "Time in s": 48.94863000000001 }, { "step": 14784, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2795778935263478, "MicroF1": 0.2795778935263478, "MacroF1": 0.2822974275171512, "Memory in Mb": 0.0013818740844726, "Time in s": 56.43945000000001 }, { "step": 15840, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2761537975882315, "MicroF1": 0.2761537975882315, "MacroF1": 0.2847375853365436, "Memory in Mb": 0.0013818740844726, "Time in s": 64.48233200000001 }, { "step": 16896, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2723290914471737, "MicroF1": 0.2723290914471737, "MacroF1": 0.2859139704285301, "Memory in Mb": 0.0013856887817382, "Time in s": 73.03679300000002 }, { "step": 17952, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2720739791655061, "MicroF1": 0.2720739791655061, "MacroF1": 0.2880143206503878, "Memory in Mb": 0.0013866424560546, "Time in s": 82.10379000000002 }, { "step": 19008, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2825274898721523, "MicroF1": 0.2825274898721523, "MacroF1": 0.2877504429321087, "Memory in Mb": 0.0013866424560546, "Time in s": 91.70347300000002 }, { "step": 20064, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2872451776902756, "MicroF1": 0.2872451776902756, "MacroF1": 0.2866739236661926, "Memory in Mb": 0.0013818740844726, "Time in s": 101.81113500000002 }, { "step": 21120, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2830626450116009, "MicroF1": 0.2830626450116009, "MacroF1": 0.2816476602425525, "Memory in Mb": 0.0013837814331054, "Time in s": 112.42818900000002 }, { "step": 22176, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2805411499436302, "MicroF1": 0.2805411499436302, "MacroF1": 0.2786296072528009, "Memory in Mb": 0.0013866424560546, "Time in s": 123.55266000000002 }, { "step": 23232, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2797124531875511, "MicroF1": 0.2797124531875511, "MacroF1": 0.2771941975793341, "Memory in Mb": 0.0013856887817382, "Time in s": 135.22034100000002 }, { "step": 24288, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2777205912628155, "MicroF1": 0.2777205912628155, "MacroF1": 0.2745878480946635, "Memory in Mb": 0.0013866424560546, "Time in s": 147.32084400000002 }, { "step": 25344, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2756579726157124, "MicroF1": 0.2756579726157124, "MacroF1": 0.2723380305202896, "Memory in Mb": 0.0013818740844726, "Time in s": 159.88729300000003 }, { "step": 26400, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2739497708246524, "MicroF1": 0.2739497708246524, "MacroF1": 0.2699690442569991, "Memory in Mb": 0.0013837814331054, "Time in s": 172.95537600000003 }, { "step": 27456, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2718994718630486, "MicroF1": 0.2718994718630486, "MacroF1": 0.2671948532388624, "Memory in Mb": 0.0013866424560546, "Time in s": 186.52082400000003 }, { "step": 28512, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2723860965942969, "MicroF1": 0.2723860965942969, "MacroF1": 0.2686965366571337, "Memory in Mb": 0.0013885498046875, "Time in s": 200.59564800000004 }, { "step": 29568, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2738187844556431, "MicroF1": 0.2738187844556431, "MacroF1": 0.2720266804437783, "Memory in Mb": 0.0013885498046875, "Time in s": 215.16150500000003 }, { "step": 30624, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2753812493877151, "MicroF1": 0.2753812493877151, "MacroF1": 0.2748698663810351, "Memory in Mb": 0.0013885498046875, "Time in s": 230.19075300000003 }, { "step": 31680, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2780390795163989, "MicroF1": 0.2780390795163989, "MacroF1": 0.2784141751235631, "Memory in Mb": 0.0013856887817382, "Time in s": 245.71900300000004 }, { "step": 32736, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.279670077898274, "MicroF1": 0.279670077898274, "MacroF1": 0.2802192251245275, "Memory in Mb": 0.0013837814331054, "Time in s": 261.76959600000004 }, { "step": 33792, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2808440117190968, "MicroF1": 0.2808440117190968, "MacroF1": 0.2811962745371706, "Memory in Mb": 0.0013856887817382, "Time in s": 278.22772000000003 }, { "step": 34848, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2772405085086234, "MicroF1": 0.2772405085086234, "MacroF1": 0.2781905182864757, "Memory in Mb": 0.0013837814331054, "Time in s": 295.19763900000004 }, { "step": 35904, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2739325404562293, "MicroF1": 0.2739325404562293, "MacroF1": 0.2754200456137155, "Memory in Mb": 0.0013856887817382, "Time in s": 312.64260700000005 }, { "step": 36960, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.271246516410076, "MicroF1": 0.271246516410076, "MacroF1": 0.273332837678202, "Memory in Mb": 0.0013818740844726, "Time in s": 330.5037730000001 }, { "step": 38016, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2685518874128633, "MicroF1": 0.2685518874128633, "MacroF1": 0.2710722002891223, "Memory in Mb": 0.0013856887817382, "Time in s": 348.8496650000001 }, { "step": 39072, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.277034117376059, "MicroF1": 0.277034117376059, "MacroF1": 0.2770619820799866, "Memory in Mb": 0.0013866424560546, "Time in s": 367.6207990000001 }, { "step": 40128, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2761731502479627, "MicroF1": 0.2761731502479627, "MacroF1": 0.2760769006623072, "Memory in Mb": 0.0013837814331054, "Time in s": 386.8573710000001 }, { "step": 41184, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2756720005827647, "MicroF1": 0.2756720005827647, "MacroF1": 0.2754352632972116, "Memory in Mb": 0.0013837814331054, "Time in s": 406.52795400000014 }, { "step": 42240, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2740121688486943, "MicroF1": 0.2740121688486943, "MacroF1": 0.2735946193588542, "Memory in Mb": 0.0013885498046875, "Time in s": 426.69962200000015 }, { "step": 43296, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2738422450629403, "MicroF1": 0.2738422450629403, "MacroF1": 0.2731948869083578, "Memory in Mb": 0.0013856887817382, "Time in s": 447.37129900000014 }, { "step": 44352, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2729588960790061, "MicroF1": 0.2729588960790061, "MacroF1": 0.2720911653869048, "Memory in Mb": 0.0013866424560546, "Time in s": 468.49129600000015 }, { "step": 45408, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2720505648908758, "MicroF1": 0.2720505648908758, "MacroF1": 0.2708084959373003, "Memory in Mb": 0.0013866424560546, "Time in s": 490.06234300000017 }, { "step": 46464, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.271377224888621, "MicroF1": 0.271377224888621, "MacroF1": 0.2698631410415437, "Memory in Mb": 0.0013837814331054, "Time in s": 512.0778290000002 }, { "step": 47520, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2723542162082535, "MicroF1": 0.2723542162082535, "MacroF1": 0.2717062798322285, "Memory in Mb": 0.0013837814331054, "Time in s": 534.5781510000002 }, { "step": 48576, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2741327843540916, "MicroF1": 0.2741327843540916, "MacroF1": 0.2744946340974243, "Memory in Mb": 0.0013818740844726, "Time in s": 557.5265480000002 }, { "step": 49632, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2753520984868328, "MicroF1": 0.2753520984868328, "MacroF1": 0.2765036876430403, "Memory in Mb": 0.0013818740844726, "Time in s": 580.9705880000001 }, { "step": 50688, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2768362696549411, "MicroF1": 0.2768362696549411, "MacroF1": 0.2786344091273496, "Memory in Mb": 0.0013837814331054, "Time in s": 604.9012140000001 }, { "step": 51744, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2782791875229499, "MicroF1": 0.2782791875229499, "MacroF1": 0.2805971515128955, "Memory in Mb": 0.0013885498046875, "Time in s": 629.3033230000001 }, { "step": 52800, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2891153241538665, "MicroF1": 0.2891153241538665, "MacroF1": 0.2892953202729756, "Memory in Mb": 0.0013866424560546, "Time in s": 654.1512880000001 }, { "step": 52848, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Insects", "Accuracy": 0.2897610081934642, "MicroF1": 0.2897610081934642, "MacroF1": 0.2897627257031321, "Memory in Mb": 0.0013866424560546, "Time in s": 679.0036960000001 }, { "step": 408, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975429975429976, "MicroF1": 0.9975429975429976, "MacroF1": 0.966040884438882, "Memory in Mb": 0.0006122589111328, "Time in s": 0.255536 }, { "step": 816, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975460122699388, "MicroF1": 0.9975460122699388, "MacroF1": 0.9879967903427672, "Memory in Mb": 0.0006628036499023, "Time in s": 0.794196 }, { "step": 1224, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975470155355682, "MicroF1": 0.9975470155355682, "MacroF1": 0.9931179599499376, "Memory in Mb": 0.0007133483886718, "Time in s": 1.53447 }, { "step": 1632, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975475168608215, "MicroF1": 0.9975475168608215, "MacroF1": 0.9950750839342832, "Memory in Mb": 0.0012521743774414, "Time in s": 2.469131 }, { "step": 2040, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975478175576264, "MicroF1": 0.9975478175576264, "MacroF1": 0.9960150346160552, "Memory in Mb": 0.0013027191162109, "Time in s": 3.675833 }, { "step": 2448, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975480179812016, "MicroF1": 0.9975480179812016, "MacroF1": 0.9965317313935652, "Memory in Mb": 0.0013532638549804, "Time in s": 5.030286 }, { "step": 2856, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975481611208408, "MicroF1": 0.9975481611208408, "MacroF1": 0.996842428316928, "Memory in Mb": 0.00140380859375, "Time in s": 6.586031 }, { "step": 3264, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975482684646032, "MicroF1": 0.9975482684646032, "MacroF1": 0.9970416021996, "Memory in Mb": 0.0014543533325195, "Time in s": 8.377109 }, { "step": 3672, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975483519476982, "MicroF1": 0.9975483519476982, "MacroF1": 0.9971755428551424, "Memory in Mb": 0.001504898071289, "Time in s": 10.331252 }, { "step": 4080, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975484187300808, "MicroF1": 0.9975484187300808, "MacroF1": 0.9972690115789392, "Memory in Mb": 0.0015554428100585, "Time in s": 12.525489 }, { "step": 4488, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975484733675062, "MicroF1": 0.9975484733675062, "MacroF1": 0.9973361791525124, "Memory in Mb": 0.0016059875488281, "Time in s": 14.940819 }, { "step": 4896, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975485188968336, "MicroF1": 0.9975485188968336, "MacroF1": 0.9973856025730918, "Memory in Mb": 0.0016565322875976, "Time in s": 17.495259 }, { "step": 5304, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548557420328, "MicroF1": 0.997548557420328, "MacroF1": 0.9974226798335742, "Memory in Mb": 0.0017070770263671, "Time in s": 20.336762 }, { "step": 5712, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975485904395028, "MicroF1": 0.9975485904395028, "MacroF1": 0.99745094204078, "Memory in Mb": 0.0017576217651367, "Time in s": 23.402208 }, { "step": 6120, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975486190554012, "MicroF1": 0.9975486190554012, "MacroF1": 0.9974727709453766, "Memory in Mb": 0.0018081665039062, "Time in s": 26.661861 }, { "step": 6528, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975486440937644, "MicroF1": 0.9975486440937644, "MacroF1": 0.997489815700999, "Memory in Mb": 0.0018587112426757, "Time in s": 30.164710000000003 }, { "step": 6936, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548666186013, "MicroF1": 0.997548666186013, "MacroF1": 0.9975032443691146, "Memory in Mb": 0.0019092559814453, "Time in s": 33.838397 }, { "step": 7344, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548685823233, "MicroF1": 0.997548685823233, "MacroF1": 0.9975139007887864, "Memory in Mb": 0.0034246444702148, "Time in s": 37.738436 }, { "step": 7752, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487033931104, "MicroF1": 0.9975487033931104, "MacroF1": 0.9975224052755716, "Memory in Mb": 0.0034751892089843, "Time in s": 41.800015 }, { "step": 8160, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548719205785, "MicroF1": 0.997548719205785, "MacroF1": 0.9975292209193424, "Memory in Mb": 0.0035257339477539, "Time in s": 46.105028 }, { "step": 8568, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487335123148, "MicroF1": 0.9975487335123148, "MacroF1": 0.9975346982235258, "Memory in Mb": 0.0035762786865234, "Time in s": 50.63279300000001 }, { "step": 8976, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548746518106, "MicroF1": 0.997548746518106, "MacroF1": 0.9975391057693664, "Memory in Mb": 0.0036268234252929, "Time in s": 55.447067 }, { "step": 9384, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548758392838, "MicroF1": 0.997548758392838, "MacroF1": 0.997542651662671, "Memory in Mb": 0.0036773681640625, "Time in s": 60.387128 }, { "step": 9792, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487692779084, "MicroF1": 0.9975487692779084, "MacroF1": 0.9975454987794796, "Memory in Mb": 0.003727912902832, "Time in s": 65.547582 }, { "step": 10200, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487792920874, "MicroF1": 0.9975487792920874, "MacroF1": 0.9975477757646256, "Memory in Mb": 0.0037784576416015, "Time in s": 70.981052 }, { "step": 10608, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487885358726, "MicroF1": 0.9975487885358726, "MacroF1": 0.9975495850737114, "Memory in Mb": 0.003829002380371, "Time in s": 76.594226 }, { "step": 11016, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975487970948708, "MicroF1": 0.9975487970948708, "MacroF1": 0.9975510089260562, "Memory in Mb": 0.0038795471191406, "Time in s": 82.44596800000001 }, { "step": 11424, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488050424582, "MicroF1": 0.9975488050424582, "MacroF1": 0.9975521137613484, "Memory in Mb": 0.0039300918579101, "Time in s": 88.533094 }, { "step": 11832, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.99754881244189, "MicroF1": 0.99754881244189, "MacroF1": 0.99755295361102, "Memory in Mb": 0.0039806365966796, "Time in s": 94.818744 }, { "step": 12240, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548819347986, "MicroF1": 0.997548819347986, "MacroF1": 0.9975535726732964, "Memory in Mb": 0.0040311813354492, "Time in s": 101.331754 }, { "step": 12648, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548825808492, "MicroF1": 0.997548825808492, "MacroF1": 0.997554007297632, "Memory in Mb": 0.0040817260742187, "Time in s": 108.051678 }, { "step": 13056, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488318651856, "MicroF1": 0.9975488318651856, "MacroF1": 0.997554287526727, "Memory in Mb": 0.0041322708129882, "Time in s": 114.996681 }, { "step": 13464, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488375547796, "MicroF1": 0.9975488375547796, "MacroF1": 0.9975544383040468, "Memory in Mb": 0.0041828155517578, "Time in s": 122.1119 }, { "step": 13872, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488429096676, "MicroF1": 0.9975488429096676, "MacroF1": 0.9975544804262362, "Memory in Mb": 0.0042333602905273, "Time in s": 129.47010500000002 }, { "step": 14280, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488479585404, "MicroF1": 0.9975488479585404, "MacroF1": 0.99755443129941, "Memory in Mb": 0.0042839050292968, "Time in s": 136.988051 }, { "step": 14688, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488527269012, "MicroF1": 0.9975488527269012, "MacroF1": 0.997554305543504, "Memory in Mb": 0.0043344497680664, "Time in s": 144.742896 }, { "step": 15096, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548857237496, "MicroF1": 0.997548857237496, "MacroF1": 0.9975541154780816, "Memory in Mb": 0.0043849945068359, "Time in s": 152.648866 }, { "step": 15504, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488615106752, "MicroF1": 0.9975488615106752, "MacroF1": 0.9975538715150368, "Memory in Mb": 0.0044355392456054, "Time in s": 160.767465 }, { "step": 15912, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488655647036, "MicroF1": 0.9975488655647036, "MacroF1": 0.997553582477696, "Memory in Mb": 0.004486083984375, "Time in s": 169.09858 }, { "step": 16320, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488694160182, "MicroF1": 0.9975488694160182, "MacroF1": 0.9975532558614028, "Memory in Mb": 0.0045366287231445, "Time in s": 177.653336 }, { "step": 16728, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488730794524, "MicroF1": 0.9975488730794524, "MacroF1": 0.997552898047314, "Memory in Mb": 0.004587173461914, "Time in s": 186.438203 }, { "step": 17136, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488765684272, "MicroF1": 0.9975488765684272, "MacroF1": 0.9975525144785748, "Memory in Mb": 0.0046377182006835, "Time in s": 195.447168 }, { "step": 17544, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488798951148, "MicroF1": 0.9975488798951148, "MacroF1": 0.997552109806108, "Memory in Mb": 0.0046882629394531, "Time in s": 204.563635 }, { "step": 17952, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548883070581, "MicroF1": 0.997548883070581, "MacroF1": 0.9975516880097278, "Memory in Mb": 0.0047388076782226, "Time in s": 213.933058 }, { "step": 18360, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488861049076, "MicroF1": 0.9975488861049076, "MacroF1": 0.997551252499137, "Memory in Mb": 0.0047893524169921, "Time in s": 223.513668 }, { "step": 18768, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488890073, "MicroF1": 0.9975488890073, "MacroF1": 0.9975508061984416, "Memory in Mb": 0.0048398971557617, "Time in s": 233.322943 }, { "step": 19176, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.99754889178618, "MicroF1": 0.99754889178618, "MacroF1": 0.9975503516171184, "Memory in Mb": 0.0048904418945312, "Time in s": 243.357771 }, { "step": 19584, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488944492672, "MicroF1": 0.9975488944492672, "MacroF1": 0.9975498909097889, "Memory in Mb": 0.0049409866333007, "Time in s": 253.567103 }, { "step": 19992, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488970036516, "MicroF1": 0.9975488970036516, "MacroF1": 0.9975494259267256, "Memory in Mb": 0.0049915313720703, "Time in s": 264.004285 }, { "step": 20400, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488994558556, "MicroF1": 0.9975488994558556, "MacroF1": 0.9975489582566448, "Memory in Mb": 0.0050420761108398, "Time in s": 274.675054 } ] }, "params": [ { "name": "models", "select": { "type": "point", "fields": [ "model" ] }, "bind": "legend" }, { "name": "Dataset", "value": "ImageSegments", "bind": { "input": "select", "options": [ "ImageSegments", "Insects", "Keystroke" ] } }, { "name": "grid", "select": "interval", "bind": "scales" } ], "transform": [ { "filter": { "field": "dataset", "equal": { "expr": "Dataset" } } } ], "repeat": { "row": [ "Accuracy", "MicroF1", "MacroF1", "Memory in Mb", "Time in s" ] }, "spec": { "width": "container", "mark": "line", "encoding": { "x": { "field": "step", "type": "quantitative", "axis": { "titleFontSize": 18, "labelFontSize": 18, "title": "Instance" } }, "y": { "field": { "repeat": "row" }, "type": "quantitative", "axis": { "titleFontSize": 18, "labelFontSize": 18 } }, "color": { "field": "model", "type": "ordinal", "scale": { "scheme": "category20b" }, "title": "Models", "legend": { "titleFontSize": 18, "labelFontSize": 18, "labelLimit": 500 } }, "opacity": { "condition": { "param": "models", "value": 1 }, "value": 0.2 } } } }

Datasets

ImageSegments

Image segments classification.

This dataset contains features that describe image segments into 7 classes: brickface, sky, foliage, cement, window, path, and grass.

Name  ImageSegments                                                                                               
Task  Multi-class classification

Samples 2,310
Features 18
Classes 7
Sparse False
Path /Users/mastelini/miniconda3/envs/river-benchmark/lib/python3.10/site-packages/river/datasets/segment.csv.zip

Insects

Insects dataset.

This dataset has different variants, which are:

  • abrupt_balanced
  • abrupt_imbalanced
  • gradual_balanced
  • gradual_imbalanced
  • incremental-abrupt_balanced
  • incremental-abrupt_imbalanced
  • incremental-reoccurring_balanced
  • incremental-reoccurring_imbalanced
  • incremental_balanced
  • incremental_imbalanced
  • out-of-control

The number of samples and the difficulty change from one variant to another. The number of classes is always the same (6), except for the last variant (24).

  Name  Insects                                                                                 
  Task  Multi-class classification

Samples 52,848
Features 33
Classes 6
Sparse False
Path /Users/mastelini/river_data/Insects/INSECTS-abrupt_balanced_norm.arff
URL http://sites.labic.icmc.usp.br/vsouza/repository/creme/INSECTS-abrupt_balanced_norm.arff Size 15.66 MB
Downloaded True
Variant abrupt_balanced

Parameters

variant
    Indicates which variant of the dataset to load.

Keystroke

CMU keystroke dataset.

Users are tasked to type in a password. The task is to determine which user is typing in the password.

The only difference with the original dataset is that the "sessionIndex" and "rep" attributes have been dropped.

  Name  Keystroke                                                       
  Task  Multi-class classification

Samples 20,400
Features 31
Classes 51
Sparse False
Path /Users/mastelini/river_data/Keystroke/DSL-StrongPasswordData.csv URL http://www.cs.cmu.edu/~keystroke/DSL-StrongPasswordData.csv
Size 4.45 MB
Downloaded True

Models

Naive Bayes 

GaussianNB ()

Hoeffding Tree 

HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)

Hoeffding Adaptive Tree 

HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=True
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=42
)

Adaptive Random Forest 

[]

Aggregated Mondrian Forest 

[]

Streaming Random Patches 

SRPClassifier (
  model=HoeffdingTreeClassifier (
    grace_period=50
    max_depth=inf
    split_criterion="info_gain"
    delta=0.01
    tau=0.05
    leaf_prediction="nba"
    nb_threshold=0
    nominal_attributes=None
    splitter=GaussianSplitter (
      n_splits=10
    )
    binary_split=False
    min_branch_fraction=0.01
    max_share_to_split=0.99
    max_size=100.
    memory_estimate_period=1000000
    stop_mem_management=False
    remove_poor_attrs=False
    merit_preprune=True
  )
  n_models=10
  subspace_size=0.6
  training_method="patches"
  lam=6
  drift_detector=ADWIN (
    delta=1e-05
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  warning_detector=ADWIN (
    delta=0.0001
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  disable_detector="off"
  disable_weighted_vote=False
  seed=None
  metric=Accuracy (
    cm=ConfusionMatrix (
      classes=[]
    )
  )
)

k-Nearest Neighbors 

Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    softmax=False
  )
)

ADWIN Bagging 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

AdaBoost 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

Bagging 

[HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
)]

Leveraging Bagging 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

Stacking 

[Pipeline (
  StandardScaler (
    with_std=True
  ),
  SoftmaxRegression (
    optimizer=SGD (
      lr=Constant (
        learning_rate=0.01
      )
    )
    loss=CrossEntropy (
      class_weight={}
    )
    l2=0
  )
), GaussianNB (), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    softmax=False
  )
)]

Voting 

VotingClassifier (
  models=[Pipeline (
  StandardScaler (
    with_std=True
  ),
  SoftmaxRegression (
    optimizer=SGD (
      lr=Constant (
        learning_rate=0.01
      )
    )
    loss=CrossEntropy (
      class_weight={}
    )
    l2=0
  )
), GaussianNB (), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  min_branch_fraction=0.01
  max_share_to_split=0.99
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    softmax=False
  )
)]
  use_probabilities=True
)

[baseline] Last Class 

NoChangeClassifier ()

Environment

Python implementation: CPython
Python version       : 3.12.7
IPython version      : 8.29.0

river       : 0.22.0
numpy       : 2.0.2
scikit-learn: 1.5.1
pandas      : 2.2.3
scipy       : 1.14.1

Compiler    : GCC 11.4.0
OS          : Linux
Release     : 6.5.0-1025-azure
Machine     : x86_64
Processor   : x86_64
CPU cores   : 4
Architecture: 64bit