Try reloading the page if something is buggy
{
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"data": {
"values": [
{
"step": 11,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 32.364564569910335,
"RMSE": 32.97872020361878,
"R2": -1398.9905780691188,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.003051
},
{
"step": 22,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 22.977933628105813,
"RMSE": 25.38362603225939,
"R2": -681.3960169454474,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.0083
},
{
"step": 33,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 16.216942910977988,
"RMSE": 20.82463881551788,
"R2": -300.18738429635704,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.014943
},
{
"step": 44,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 12.450847696587651,
"RMSE": 18.04722398474583,
"R2": -255.42929659358052,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.023007
},
{
"step": 55,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 11.8883407017882,
"RMSE": 18.699705575978975,
"R2": -67.26141846932143,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.032524
},
{
"step": 66,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 11.481406471145082,
"RMSE": 17.562600262725994,
"R2": -24.95549321582236,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.043462
},
{
"step": 77,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 10.781108661026623,
"RMSE": 16.493572764286025,
"R2": -14.34295652053857,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.055844
},
{
"step": 88,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 9.717703273355898,
"RMSE": 15.46585610846664,
"R2": -11.231382330967593,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.069657
},
{
"step": 99,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 8.826979124235404,
"RMSE": 14.601347274688614,
"R2": -8.118374730562003,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.084902
},
{
"step": 110,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 8.34720326953035,
"RMSE": 13.931298318002057,
"R2": -4.796525071049026,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.101965
},
{
"step": 121,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 8.037877082888846,
"RMSE": 13.41080638289134,
"R2": -3.136902586442697,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.120474
},
{
"step": 132,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.656433924417384,
"RMSE": 12.898278689410905,
"R2": -2.1275837609073576,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.140407
},
{
"step": 143,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.307942088554156,
"RMSE": 12.437137940834392,
"R2": -1.3553409371460328,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.161783
},
{
"step": 154,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.037714222368383,
"RMSE": 12.042115748312936,
"R2": -0.8765797740197239,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.184594
},
{
"step": 165,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.129031762481882,
"RMSE": 11.913307711374014,
"R2": -0.4764258010150459,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.208855
},
{
"step": 176,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.184514897799321,
"RMSE": 11.77636646389892,
"R2": -0.1632359842489146,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.23453
},
{
"step": 187,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.115123062484693,
"RMSE": 11.572523949602724,
"R2": 0.0802677819230903,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.261536
},
{
"step": 198,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.006474290899419,
"RMSE": 11.366304822809298,
"R2": 0.2942397460202306,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.289991
},
{
"step": 209,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.129008217053805,
"RMSE": 11.440940870898142,
"R2": 0.4105268603250641,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.319876
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.62421928608864,
"RMSE": 12.045617517752785,
"R2": 0.4279229250366536,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.351191
},
{
"step": 231,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.729844807682863,
"RMSE": 12.068921171072352,
"R2": 0.5087708730950672,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.383941
},
{
"step": 242,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.873703200353374,
"RMSE": 12.23342730557754,
"R2": 0.5938836560989084,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.4181169999999999
},
{
"step": 253,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 7.894340397324045,
"RMSE": 12.218207932001455,
"R2": 0.6481596201604607,
"Memory in Mb": 0.0041303634643554,
"Time in s": 0.4537249999999999
},
{
"step": 264,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 8.479294890454037,
"RMSE": 13.126132095776898,
"R2": 0.6289858847198173,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.4907699999999999
},
{
"step": 275,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 8.914096443559163,
"RMSE": 13.971715828104037,
"R2": 0.6301108693673194,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.529253
},
{
"step": 286,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 9.123963222012373,
"RMSE": 14.305597328390173,
"R2": 0.6641373552910966,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.569186
},
{
"step": 297,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 9.083791720841957,
"RMSE": 14.24670706195338,
"R2": 0.7111028643570333,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.610599
},
{
"step": 308,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 9.589205789771716,
"RMSE": 14.956254664628933,
"R2": 0.716435491318643,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.653398
},
{
"step": 319,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 10.6480954226875,
"RMSE": 17.335456678654833,
"R2": 0.654294294845865,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.697581
},
{
"step": 330,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 11.061417554605155,
"RMSE": 17.89416376383148,
"R2": 0.6847745473646168,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.743241
},
{
"step": 341,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 11.240970714084437,
"RMSE": 17.96809449059472,
"R2": 0.7153933828209167,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.7902760000000001
},
{
"step": 352,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 11.393007763406809,
"RMSE": 18.07679096199219,
"R2": 0.7381404893604309,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.8386990000000001
},
{
"step": 363,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 12.251680566634816,
"RMSE": 19.3891577397662,
"R2": 0.7074601934283691,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.8885620000000001
},
{
"step": 374,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 12.75183556333798,
"RMSE": 20.473547618215623,
"R2": 0.7001526953506461,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.93984
},
{
"step": 385,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 13.120977867369843,
"RMSE": 21.06680160073653,
"R2": 0.7191139726408686,
"Memory in Mb": 0.0042104721069335,
"Time in s": 0.992561
},
{
"step": 396,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 13.243904830041805,
"RMSE": 21.04850718241465,
"R2": 0.7385587649833809,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.046701
},
{
"step": 407,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 14.114140715648691,
"RMSE": 22.50284796635845,
"R2": 0.7222415724766076,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.102244
},
{
"step": 418,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 14.877176135328032,
"RMSE": 23.91912678123439,
"R2": 0.7054123344015044,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.159239
},
{
"step": 429,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 15.420211528669606,
"RMSE": 24.826921056607983,
"R2": 0.71797392321154,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.2176479999999998
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 15.588380621816588,
"RMSE": 24.89946727120753,
"R2": 0.7364018543257719,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.277456
},
{
"step": 451,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 16.102138383202178,
"RMSE": 25.5012042182244,
"R2": 0.73526123694725,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.338723
},
{
"step": 462,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 17.19666374070754,
"RMSE": 27.602141070792264,
"R2": 0.7086782414730581,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.4014049999999998
},
{
"step": 473,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 17.97145397683086,
"RMSE": 28.90516312323801,
"R2": 0.7179019616037816,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.4654839999999998
},
{
"step": 484,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 18.29792978215437,
"RMSE": 29.184271659667463,
"R2": 0.728186505594778,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.531041
},
{
"step": 495,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 18.74962346435519,
"RMSE": 29.70957841185893,
"R2": 0.7350194821983969,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.597992
},
{
"step": 506,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 19.63242676502778,
"RMSE": 31.145843529930996,
"R2": 0.717244444772776,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.666343
},
{
"step": 517,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 20.352340621675207,
"RMSE": 32.13418072986834,
"R2": 0.7159654376794024,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.736162
},
{
"step": 528,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 21.13777985928475,
"RMSE": 33.324214910779105,
"R2": 0.7253645356808669,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.807369
},
{
"step": 539,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 21.30552841968683,
"RMSE": 33.32197733500869,
"R2": 0.7367405849979859,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.880014
},
{
"step": 550,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 22.28842093535661,
"RMSE": 34.93191609140748,
"R2": 0.7196038878445231,
"Memory in Mb": 0.0042104721069335,
"Time in s": 1.954091
},
{
"step": 561,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 22.98790385213596,
"RMSE": 35.84862508987654,
"R2": 0.7176082524890277,
"Memory in Mb": 0.0042104721069335,
"Time in s": 2.029559
},
{
"step": 572,
"track": "Regression",
"model": "Linear Regression",
"dataset": "ChickWeights",
"MAE": 23.835304128485923,
"RMSE": 37.028707868367256,
"R2": 0.7213067136137974,
"Memory in Mb": 0.0042104721069335,
"Time in s": 2.106474
},
{
"step": 20,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 23.20376765378399,
"RMSE": 26.086393589237737,
"R2": -1595.1823041445402,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.006002
},
{
"step": 40,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 14.037845165976735,
"RMSE": 19.010285970857197,
"R2": -144.292318589198,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.015135
},
{
"step": 60,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 11.507970876430278,
"RMSE": 16.25440462414082,
"R2": -142.20309184289852,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.026737
},
{
"step": 80,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 9.557907896578074,
"RMSE": 14.248619966820993,
"R2": -109.38231735939875,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.04106
},
{
"step": 100,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 8.00119890237694,
"RMSE": 12.784639272000032,
"R2": -54.757167221204185,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.058228
},
{
"step": 120,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 6.9642139928158,
"RMSE": 11.706689332840265,
"R2": -38.660847151370525,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.078171
},
{
"step": 140,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 6.158017211594616,
"RMSE": 10.855926078196225,
"R2": -34.244125473921144,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.100823
},
{
"step": 160,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 5.477712824897756,
"RMSE": 10.159717829752896,
"R2": -26.22221848793916,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.126265
},
{
"step": 180,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 5.024407839120485,
"RMSE": 9.597258286357787,
"R2": -20.33422740878964,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.154466
},
{
"step": 200,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 4.585662202332267,
"RMSE": 9.108145701438088,
"R2": -18.272229834363905,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.185533
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 4.26060909213789,
"RMSE": 8.692057179629266,
"R2": -17.933082537971817,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.219335
},
{
"step": 240,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.9717866152166015,
"RMSE": 8.326248244302885,
"R2": -16.503720237291063,
"Memory in Mb": 0.0048131942749023,
"Time in s": 0.255864
},
{
"step": 260,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.713770572650404,
"RMSE": 8.00217875002923,
"R2": -15.385557669694744,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.2951479999999999
},
{
"step": 280,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.519033617242816,
"RMSE": 7.718418241237259,
"R2": -14.960370233444367,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.3371889999999999
},
{
"step": 300,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.3459125962612686,
"RMSE": 7.4642342223287805,
"R2": -13.679347912302555,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.382005
},
{
"step": 320,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.2142611116185447,
"RMSE": 7.238080925352425,
"R2": -13.486769876410833,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.429554
},
{
"step": 340,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 3.0579195410777067,
"RMSE": 7.023783188903098,
"R2": -13.41588572736102,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.479826
},
{
"step": 360,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.945682332324278,
"RMSE": 6.834004497968132,
"R2": -12.75946181118139,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.532818
},
{
"step": 380,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.834623050495076,
"RMSE": 6.655478314361804,
"R2": -12.501407484394289,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.588545
},
{
"step": 400,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.750580257859316,
"RMSE": 6.492898516140861,
"R2": -12.2130072039923,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.647075
},
{
"step": 420,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.6430441633874877,
"RMSE": 6.337629923196658,
"R2": -12.005235448499764,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.708317
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.55209658354648,
"RMSE": 6.194505226365406,
"R2": -11.19965041203295,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.7723099999999999
},
{
"step": 460,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.456089002686458,
"RMSE": 6.059000096335146,
"R2": -10.068304379054997,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.8388639999999999
},
{
"step": 480,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.366054305985814,
"RMSE": 5.93188196569365,
"R2": -9.364683952709628,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.907942
},
{
"step": 500,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.2878529832492878,
"RMSE": 5.812913918334153,
"R2": -8.7442989221461,
"Memory in Mb": 0.0049734115600585,
"Time in s": 0.979676
},
{
"step": 520,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.2263077878678064,
"RMSE": 5.701877933590318,
"R2": -8.391958889485423,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.054282
},
{
"step": 540,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.159275760054389,
"RMSE": 5.596308740310266,
"R2": -8.01424271274666,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.13157
},
{
"step": 560,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.121286703179314,
"RMSE": 5.500929056902255,
"R2": -7.917124287747498,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.211538
},
{
"step": 580,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.058130800812745,
"RMSE": 5.4056516105350205,
"R2": -7.823875188349783,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.294212
},
{
"step": 600,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 2.010772210317983,
"RMSE": 5.316298216027806,
"R2": -7.440165070210115,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.379521
},
{
"step": 620,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.9712240547218984,
"RMSE": 5.232121316388296,
"R2": -7.05039272692726,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.467481
},
{
"step": 640,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.918906116628168,
"RMSE": 5.150155111235484,
"R2": -6.654334565315682,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.558
},
{
"step": 660,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.87787066207154,
"RMSE": 5.072802363597129,
"R2": -6.372735616761029,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.651027
},
{
"step": 680,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.8268195769848845,
"RMSE": 4.997758130035794,
"R2": -6.2693000939147145,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.746732
},
{
"step": 700,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.786028440025988,
"RMSE": 4.9266674679383895,
"R2": -6.249499636750513,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.84509
},
{
"step": 720,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.7407901109286728,
"RMSE": 4.857855812572241,
"R2": -6.20325679847918,
"Memory in Mb": 0.0049734115600585,
"Time in s": 1.946268
},
{
"step": 740,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.6980813320245582,
"RMSE": 4.791872643159282,
"R2": -6.00468916158508,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.050093
},
{
"step": 760,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.6641755726043943,
"RMSE": 4.729168490426344,
"R2": -5.896482494172518,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.156434
},
{
"step": 780,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.6304504193200038,
"RMSE": 4.6685949390255965,
"R2": -5.751055148180852,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.265329
},
{
"step": 800,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.6024144632936517,
"RMSE": 4.610765602340218,
"R2": -5.644394777378336,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.376883
},
{
"step": 820,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.5772046524793362,
"RMSE": 4.555342563217192,
"R2": -5.556843815680599,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.490967
},
{
"step": 840,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.5504230286371177,
"RMSE": 4.501494961913348,
"R2": -5.462190804899245,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.607626
},
{
"step": 860,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.5213504760602443,
"RMSE": 4.449264316210896,
"R2": -5.302224210455831,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.72689
},
{
"step": 880,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.4920620594434295,
"RMSE": 4.398585386750051,
"R2": -5.128866413959423,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.848697
},
{
"step": 900,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.4631535468073946,
"RMSE": 4.3495699730724,
"R2": -5.018290064232882,
"Memory in Mb": 0.0049734115600585,
"Time in s": 2.973079
},
{
"step": 920,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.4376774845864433,
"RMSE": 4.302379067062498,
"R2": -4.985157602999735,
"Memory in Mb": 0.0049734115600585,
"Time in s": 3.100144
},
{
"step": 940,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.415413283450155,
"RMSE": 4.2569033587476754,
"R2": -4.909007968017405,
"Memory in Mb": 0.0049734115600585,
"Time in s": 3.229628
},
{
"step": 960,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.3929189597034646,
"RMSE": 4.212790914002432,
"R2": -4.847686152244137,
"Memory in Mb": 0.0049734115600585,
"Time in s": 3.361574
},
{
"step": 980,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.3689716642677323,
"RMSE": 4.1697584324400925,
"R2": -4.840094251784054,
"Memory in Mb": 0.0049734115600585,
"Time in s": 3.49595
},
{
"step": 1000,
"track": "Regression",
"model": "Linear Regression",
"dataset": "TrumpApproval",
"MAE": 1.348598310616665,
"RMSE": 4.128277744647548,
"R2": -4.8208398605179,
"Memory in Mb": 0.0049734115600585,
"Time in s": 3.6327
},
{
"step": 11,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 32.42675747760146,
"RMSE": 33.032143455333795,
"R2": -1403.530028209614,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.002172
},
{
"step": 22,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 23.11671120534681,
"RMSE": 25.467535638550565,
"R2": -685.9150105173057,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.005938
},
{
"step": 33,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 16.40645850052153,
"RMSE": 20.90890407573329,
"R2": -302.6297778360383,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.010657
},
{
"step": 44,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 12.633013937743208,
"RMSE": 18.123648450153382,
"R2": -257.60569409037487,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.016312
},
{
"step": 55,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 12.09340740686418,
"RMSE": 18.75532087846616,
"R2": -67.66805855020911,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.022822
},
{
"step": 66,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 11.723217014070244,
"RMSE": 17.64468538999345,
"R2": -25.19868487320792,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.030046
},
{
"step": 77,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 10.995180265837302,
"RMSE": 16.56912334002292,
"R2": -14.483838555564008,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.037972
},
{
"step": 88,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 9.883907021821408,
"RMSE": 15.530287677810511,
"R2": -11.333507781967656,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.046598
},
{
"step": 99,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 8.972176235897166,
"RMSE": 14.66146594146288,
"R2": -8.193616152032533,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.055927
},
{
"step": 110,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 8.50780758363674,
"RMSE": 13.99831063395296,
"R2": -4.852424068253989,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.066187
},
{
"step": 121,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 8.189643323772653,
"RMSE": 13.479618530659062,
"R2": -3.1794651999709123,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.077165
},
{
"step": 132,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.801679323915957,
"RMSE": 12.961634417305982,
"R2": -2.158384304610562,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.088845
},
{
"step": 143,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.451861020480359,
"RMSE": 12.498785048420814,
"R2": -1.3787482214976663,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.101232
},
{
"step": 154,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.149646459280303,
"RMSE": 12.093459492377487,
"R2": -0.8926161646086501,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.114319
},
{
"step": 165,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.229782522017506,
"RMSE": 11.96532542528415,
"R2": -0.4893471433346175,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.128105
},
{
"step": 176,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.272512426798904,
"RMSE": 11.818048782353436,
"R2": -0.1714850789711801,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.1426069999999999
},
{
"step": 187,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.196746625780547,
"RMSE": 11.610365671998538,
"R2": 0.0742429673312855,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.1578139999999999
},
{
"step": 198,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.1064479168500405,
"RMSE": 11.42347112116664,
"R2": 0.2871227171728154,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.173728
},
{
"step": 209,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.187961051781539,
"RMSE": 11.470757896418933,
"R2": 0.4074503232991815,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.1903399999999999
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.669011107337858,
"RMSE": 12.056664202246258,
"R2": 0.426873173509426,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.2076519999999999
},
{
"step": 231,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.786810512364482,
"RMSE": 12.097059810994589,
"R2": 0.5064776054701067,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.2256619999999999
},
{
"step": 242,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.967587416991401,
"RMSE": 12.312376354870244,
"R2": 0.5886249568088757,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.2443719999999999
},
{
"step": 253,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 7.942191618805254,
"RMSE": 12.251768500136135,
"R2": 0.6462241186586895,
"Memory in Mb": 0.0043611526489257,
"Time in s": 0.2637739999999999
},
{
"step": 264,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 8.532657015260138,
"RMSE": 13.159069559279288,
"R2": 0.6271215737447722,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.2838889999999999
},
{
"step": 275,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 8.974527826218258,
"RMSE": 14.016709692996267,
"R2": 0.6277246858047626,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.3047049999999999
},
{
"step": 286,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 9.187875132430849,
"RMSE": 14.367497338174372,
"R2": 0.6612245262436964,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.3262349999999999
},
{
"step": 297,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 9.146460078204475,
"RMSE": 14.316362398212211,
"R2": 0.7082709930315267,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.3484709999999999
},
{
"step": 308,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 9.641370323857412,
"RMSE": 15.001693346690402,
"R2": 0.7147098761119641,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.3714179999999999
},
{
"step": 319,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 10.700825117113602,
"RMSE": 17.38383679543193,
"R2": 0.6523619983610591,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.3950729999999999
},
{
"step": 330,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 11.121905143066762,
"RMSE": 17.96551370253039,
"R2": 0.6822557197544588,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.4194319999999999
},
{
"step": 341,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 11.300130820443067,
"RMSE": 18.038310133249198,
"R2": 0.7131646675929553,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.4444929999999999
},
{
"step": 352,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 11.446939695127732,
"RMSE": 18.13441953669637,
"R2": 0.7364682185789984,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.4702589999999999
},
{
"step": 363,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 12.306713664516929,
"RMSE": 19.446501901626007,
"R2": 0.7057272396553849,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.4967349999999999
},
{
"step": 374,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 12.8047145381729,
"RMSE": 20.530886427306594,
"R2": 0.6984708214392588,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.523921
},
{
"step": 385,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 13.174415073298738,
"RMSE": 21.133761140382827,
"R2": 0.7173255769005842,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.551805
},
{
"step": 396,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 13.2883642577537,
"RMSE": 21.10340115690396,
"R2": 0.7371933225224319,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.580392
},
{
"step": 407,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 14.156717848187574,
"RMSE": 22.549679209142333,
"R2": 0.7210842693854467,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.6096860000000001
},
{
"step": 418,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 14.91944953335544,
"RMSE": 23.967687063528587,
"R2": 0.7042149845564116,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.6396860000000001
},
{
"step": 429,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 15.467166242517186,
"RMSE": 24.886955839016704,
"R2": 0.7166083213097005,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.6704000000000001
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 15.631989433801651,
"RMSE": 24.954278611820005,
"R2": 0.735240056765428,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.7018220000000001
},
{
"step": 451,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 16.140858755557055,
"RMSE": 25.549476814516595,
"R2": 0.7342580119275103,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.7339490000000001
},
{
"step": 462,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 17.234115417053438,
"RMSE": 27.64913352119068,
"R2": 0.7076854506057617,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.766781
},
{
"step": 473,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 18.0152369206823,
"RMSE": 28.967470484053976,
"R2": 0.7166844816496443,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.800319
},
{
"step": 484,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 18.33784663215877,
"RMSE": 29.23326362096376,
"R2": 0.727273146935064,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.834558
},
{
"step": 495,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 18.785497932712666,
"RMSE": 29.755293652524703,
"R2": 0.7342033839127224,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.86951
},
{
"step": 506,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 19.668627686193567,
"RMSE": 31.19471320280161,
"R2": 0.7163564282233008,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.90517
},
{
"step": 517,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 20.38947136061499,
"RMSE": 32.18441644636668,
"R2": 0.7150766748346216,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.941543
},
{
"step": 528,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 21.174247281712567,
"RMSE": 33.375214332088184,
"R2": 0.7245232875146275,
"Memory in Mb": 0.0044412612915039,
"Time in s": 0.978621
},
{
"step": 539,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 21.335113723003413,
"RMSE": 33.369412847265615,
"R2": 0.7359905254430201,
"Memory in Mb": 0.0044412612915039,
"Time in s": 1.016405
},
{
"step": 550,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 22.319908918673335,
"RMSE": 34.98038586656285,
"R2": 0.7188252208291055,
"Memory in Mb": 0.0044412612915039,
"Time in s": 1.054903
},
{
"step": 561,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 23.02102944586984,
"RMSE": 35.899425045778656,
"R2": 0.7168073485461736,
"Memory in Mb": 0.0044412612915039,
"Time in s": 1.094104
},
{
"step": 572,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "ChickWeights",
"MAE": 23.86795045847124,
"RMSE": 37.077313876148,
"R2": 0.7205745757906983,
"Memory in Mb": 0.0044412612915039,
"Time in s": 1.134008
},
{
"step": 20,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 23.431235633428948,
"RMSE": 26.218144216470428,
"R2": -1611.3462157506035,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.004147
},
{
"step": 40,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 14.103513545807008,
"RMSE": 19.087149489688155,
"R2": -145.46960290724672,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.010783
},
{
"step": 60,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 11.461367198760032,
"RMSE": 16.23222714650599,
"R2": -141.81258639462544,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.018889
},
{
"step": 80,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 9.44127715126052,
"RMSE": 14.201674320759096,
"R2": -108.65615123709478,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.028452
},
{
"step": 100,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 7.797022024035496,
"RMSE": 12.721240349043525,
"R2": -54.205539694816935,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.039551
},
{
"step": 120,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 6.691147023027369,
"RMSE": 11.629122321270428,
"R2": -38.13701304656029,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.052122
},
{
"step": 140,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 5.831783229321132,
"RMSE": 10.770680162674168,
"R2": -33.69279126993988,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.066155
},
{
"step": 160,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 5.153144449790517,
"RMSE": 10.076741978726949,
"R2": -25.77937886024605,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.08166
},
{
"step": 180,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 4.653806702754108,
"RMSE": 9.504457154537077,
"R2": -19.92363756907144,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.098629
},
{
"step": 200,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 4.222103651464603,
"RMSE": 9.017588926226493,
"R2": -17.890910704295415,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.117152
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 3.8867321432249606,
"RMSE": 8.600346446062781,
"R2": -17.535660715889627,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.137154
},
{
"step": 240,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 3.599340946609919,
"RMSE": 8.235553698215059,
"R2": -16.124474758948196,
"Memory in Mb": 0.0050439834594726,
"Time in s": 0.15861
},
{
"step": 260,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 3.3420538385748757,
"RMSE": 7.912854669167724,
"R2": -15.021792727856036,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.181525
},
{
"step": 280,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 3.121876705697044,
"RMSE": 7.625390851691296,
"R2": -14.577959242562436,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.205897
},
{
"step": 300,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.9443386382725367,
"RMSE": 7.3683114276631025,
"R2": -13.30448388815742,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.231796
},
{
"step": 320,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.815755936756583,
"RMSE": 7.138230019587049,
"R2": -13.089830522149688,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.259173
},
{
"step": 340,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.6933833627330244,
"RMSE": 6.928597052658441,
"R2": -13.027805837336182,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.288012
},
{
"step": 360,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.6051143953909115,
"RMSE": 6.739167122054826,
"R2": -12.380223856378365,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.318313
},
{
"step": 380,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.490520088621087,
"RMSE": 6.560408055638074,
"R2": -12.118440379947032,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.350072
},
{
"step": 400,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.379600080775968,
"RMSE": 6.3947378153227445,
"R2": -11.816514349639151,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.383345
},
{
"step": 420,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.2783211278818065,
"RMSE": 6.240996339547436,
"R2": -11.61166202267384,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.418092
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.2145782025697205,
"RMSE": 6.101000859547544,
"R2": -10.83412932108482,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.454298
},
{
"step": 460,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.1464112051078263,
"RMSE": 5.968705291729145,
"R2": -9.740869666058233,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.491959
},
{
"step": 480,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 2.072454283271577,
"RMSE": 5.843773480387036,
"R2": -9.059069500744918,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.5310900000000001
},
{
"step": 500,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.9987939253418097,
"RMSE": 5.726023081885353,
"R2": -8.45516263823347,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.5716870000000001
},
{
"step": 520,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.9284894530733132,
"RMSE": 5.614979238753044,
"R2": -8.107866604370331,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.613828
},
{
"step": 540,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.8708966196370944,
"RMSE": 5.510640598064868,
"R2": -7.740375491210358,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.657455
},
{
"step": 560,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.824494929332068,
"RMSE": 5.412971505312132,
"R2": -7.634241934578528,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.702504
},
{
"step": 580,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.781951127238344,
"RMSE": 5.3203622791847724,
"R2": -7.547628985954546,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.748994
},
{
"step": 600,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.749732390051898,
"RMSE": 5.233421242207161,
"R2": -7.179064952823026,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.796981
},
{
"step": 620,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.7052484400139905,
"RMSE": 5.14921027958835,
"R2": -6.797272491389374,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.846385
},
{
"step": 640,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.6664817162996513,
"RMSE": 5.068963198399273,
"R2": -6.414896594696412,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.897251
},
{
"step": 660,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.6214900718153242,
"RMSE": 4.99171743637858,
"R2": -6.138924064419633,
"Memory in Mb": 0.0052042007446289,
"Time in s": 0.949568
},
{
"step": 680,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.5818233283584242,
"RMSE": 4.918048415051679,
"R2": -6.03927170869104,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.003319
},
{
"step": 700,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.555259840641907,
"RMSE": 4.848763195223404,
"R2": -6.02204294951599,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.058593
},
{
"step": 720,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.532054525069809,
"RMSE": 4.783346185353484,
"R2": -5.983984772166844,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.1153050000000002
},
{
"step": 740,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.5146024654094865,
"RMSE": 4.7215191517857305,
"R2": -5.800515662606876,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.1734340000000003
},
{
"step": 760,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.4818289913711118,
"RMSE": 4.659306491272199,
"R2": -5.694229888242945,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.2330550000000002
},
{
"step": 780,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.452402157072035,
"RMSE": 4.59956290700914,
"R2": -5.552882667907455,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.294088
},
{
"step": 800,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.4293016341621465,
"RMSE": 4.542852809132106,
"R2": -5.450103306475059,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.356613
},
{
"step": 820,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.4031025761620075,
"RMSE": 4.487566758646917,
"R2": -5.363185739412862,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.420603
},
{
"step": 840,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.381369306663701,
"RMSE": 4.43470615373713,
"R2": -5.271853959037296,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.48601
},
{
"step": 860,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.3592027324075535,
"RMSE": 4.3834303912536,
"R2": -5.11710119981194,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.552867
},
{
"step": 880,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.3365452172324814,
"RMSE": 4.3337346544721145,
"R2": -4.949476248649982,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.621167
},
{
"step": 900,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.309932841675593,
"RMSE": 4.285399956971287,
"R2": -4.842022075269781,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.690888
},
{
"step": 920,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.286195364366444,
"RMSE": 4.238743982476022,
"R2": -4.809417914789597,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.762146
},
{
"step": 940,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.270754149650798,
"RMSE": 4.194574036632911,
"R2": -4.737236102715975,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.834847
},
{
"step": 960,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.252007480522268,
"RMSE": 4.151199175197265,
"R2": -4.677947706919012,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.908959
},
{
"step": 980,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.2327553756112288,
"RMSE": 4.10900051997898,
"R2": -4.671141158917876,
"Memory in Mb": 0.0052042007446289,
"Time in s": 1.984552
},
{
"step": 1000,
"track": "Regression",
"model": "Linear Regression with l1 regularization",
"dataset": "TrumpApproval",
"MAE": 1.2158544056174447,
"RMSE": 4.0682125513101886,
"R2": -4.652689174637866,
"Memory in Mb": 0.0052042007446289,
"Time in s": 2.061558
},
{
"step": 11,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 32.49979765090093,
"RMSE": 33.085767570527814,
"R2": -1408.093935143081,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.00221
},
{
"step": 22,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 23.548763427243948,
"RMSE": 25.711783397814365,
"R2": -699.1539821884553,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.0060149999999999
},
{
"step": 33,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 16.994606748791693,
"RMSE": 21.16216382986949,
"R2": -310.0297747454571,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.010773
},
{
"step": 44,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 13.434663043069094,
"RMSE": 18.386175360023177,
"R2": -265.1519301746234,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.016452
},
{
"step": 55,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 12.685726760044922,
"RMSE": 18.64479618798502,
"R2": -66.86112450289035,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.023006
},
{
"step": 66,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 12.3059577367172,
"RMSE": 17.58876192176611,
"R2": -25.03287862681572,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.030252
},
{
"step": 77,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.844694328458631,
"RMSE": 16.6807536659431,
"R2": -14.693178357367543,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.03818
},
{
"step": 88,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.154725738202892,
"RMSE": 15.783555067193374,
"R2": -11.739056703820452,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.046793
},
{
"step": 99,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 10.383929359740238,
"RMSE": 14.970988963724652,
"R2": -8.585892537614809,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.056087
},
{
"step": 110,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.96579366260941,
"RMSE": 14.36848414897767,
"R2": -5.166041463970149,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.066275
},
{
"step": 121,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.69456937849415,
"RMSE": 13.920059192886765,
"R2": -3.4570517192093604,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.077161
},
{
"step": 132,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.550940690791585,
"RMSE": 13.540299798742517,
"R2": -2.4466881997122822,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.088733
},
{
"step": 143,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.359343163302276,
"RMSE": 13.17888693683795,
"R2": -1.6446630191344274,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.100994
},
{
"step": 154,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.050096583806178,
"RMSE": 12.809003240652473,
"R2": -1.1232058766616235,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.113939
},
{
"step": 165,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.0176805612097,
"RMSE": 12.690905771048246,
"R2": -0.6754526017728211,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.127575
},
{
"step": 176,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.128420828629457,
"RMSE": 12.67565049026222,
"R2": -0.3476766887041909,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.141896
},
{
"step": 187,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.200055067293626,
"RMSE": 12.61943948921252,
"R2": -0.0936676208508318,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.156913
},
{
"step": 198,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.131920516304556,
"RMSE": 12.48608852319409,
"R2": 0.14832986501041,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.172621
},
{
"step": 209,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.262178084838377,
"RMSE": 12.632807163510387,
"R2": 0.2813122010719644,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.18901
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.624585089266471,
"RMSE": 13.14522964439942,
"R2": 0.3187088278286061,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.206079
},
{
"step": 231,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 9.871229105762628,
"RMSE": 13.33182219595452,
"R2": 0.4005868940419749,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.223824
},
{
"step": 242,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 10.053594156641497,
"RMSE": 13.615837484576032,
"R2": 0.496913232046656,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.242255
},
{
"step": 253,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 10.103586276318884,
"RMSE": 13.654347763291469,
"R2": 0.5605873283913356,
"Memory in Mb": 0.0041532516479492,
"Time in s": 0.261365
},
{
"step": 264,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 10.539757430756955,
"RMSE": 14.361033144769577,
"R2": 0.5558923432468688,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.281177
},
{
"step": 275,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.000663746720075,
"RMSE": 15.253690514733572,
"R2": 0.5591184315358017,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.301675
},
{
"step": 286,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.301045102393736,
"RMSE": 15.716738058687294,
"R2": 0.5946085911267809,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.32286
},
{
"step": 297,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.275670942063872,
"RMSE": 15.722526759958118,
"R2": 0.648148884657232,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.344736
},
{
"step": 308,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 11.737413962135747,
"RMSE": 16.425717512690383,
"R2": 0.6579773485389515,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.367308
},
{
"step": 319,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 12.62956768598283,
"RMSE": 18.5239816734196,
"R2": 0.6052658886851463,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.390571
},
{
"step": 330,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 13.20835169207171,
"RMSE": 19.400144953397177,
"R2": 0.6294827674482892,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.41452
},
{
"step": 341,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 13.34580485099439,
"RMSE": 19.47322215763284,
"R2": 0.6657152345574865,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.439156
},
{
"step": 352,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 13.572829398695534,
"RMSE": 19.644456145190084,
"R2": 0.6907528542453616,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.464482
},
{
"step": 363,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 14.286348966120116,
"RMSE": 20.694687599962585,
"R2": 0.666738740088638,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.490494
},
{
"step": 374,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 14.777113556436731,
"RMSE": 21.8206517710938,
"R2": 0.6593962849465681,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.517211
},
{
"step": 385,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 15.215863000720542,
"RMSE": 22.583610768099227,
"R2": 0.6772102871974224,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.544615
},
{
"step": 396,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 15.33144965807796,
"RMSE": 22.564695888148663,
"R2": 0.6995373757169706,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.5727059999999999
},
{
"step": 407,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 16.156138146741625,
"RMSE": 23.924755047114477,
"R2": 0.6860306363812331,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.601482
},
{
"step": 418,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 16.826141311926307,
"RMSE": 25.281544830782227,
"R2": 0.6708975363085852,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.6309469999999999
},
{
"step": 429,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 17.40263926327312,
"RMSE": 26.38004441662919,
"R2": 0.6815842184892376,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.6611069999999999
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 17.533400796677356,
"RMSE": 26.42712307382207,
"R2": 0.7030645738539452,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.6919729999999998
},
{
"step": 451,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 18.01931805998843,
"RMSE": 26.98764790902567,
"R2": 0.7034989551644695,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.7235269999999998
},
{
"step": 462,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 19.02005973582853,
"RMSE": 28.983219342716676,
"R2": 0.6787962347144068,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.7557739999999998
},
{
"step": 473,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 19.888963224686226,
"RMSE": 30.578078926209333,
"R2": 0.6843036130043219,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.7887069999999998
},
{
"step": 484,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 20.14556805064173,
"RMSE": 30.710181129007665,
"R2": 0.6990197135707891,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.8223269999999998
},
{
"step": 495,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 20.606054171923702,
"RMSE": 31.270986299633183,
"R2": 0.7064351021760091,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.8566339999999998
},
{
"step": 506,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 21.410220326067677,
"RMSE": 32.615082621422005,
"R2": 0.6899384474766328,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.8916409999999998
},
{
"step": 517,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 22.149063292155795,
"RMSE": 33.66176418126127,
"R2": 0.6883188968774838,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.9273449999999998
},
{
"step": 528,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 22.923596011881333,
"RMSE": 34.92960124509041,
"R2": 0.6982661596564212,
"Memory in Mb": 0.0042333602905273,
"Time in s": 0.9637369999999996
},
{
"step": 539,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 23.042465823580866,
"RMSE": 34.93124976178739,
"R2": 0.7106985365247873,
"Memory in Mb": 0.0042333602905273,
"Time in s": 1.0008159999999997
},
{
"step": 550,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 23.974366627279803,
"RMSE": 36.47485289150521,
"R2": 0.6942867450600009,
"Memory in Mb": 0.0042333602905273,
"Time in s": 1.0385829999999998
},
{
"step": 561,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 24.688352372874245,
"RMSE": 37.45551228620605,
"R2": 0.6917248794696187,
"Memory in Mb": 0.0042333602905273,
"Time in s": 1.077041
},
{
"step": 572,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "ChickWeights",
"MAE": 25.52040552278537,
"RMSE": 38.65530944983144,
"R2": 0.6962839796503111,
"Memory in Mb": 0.0042333602905273,
"Time in s": 1.116183
},
{
"step": 20,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 23.51586240468561,
"RMSE": 26.237375459551668,
"R2": -1613.712423965852,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.004083
},
{
"step": 40,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 14.404588626352648,
"RMSE": 19.15618772462805,
"R2": -146.53108046561562,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.01063
},
{
"step": 60,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 12.231791081689297,
"RMSE": 16.474815193156783,
"R2": -146.113106004694,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.018597
},
{
"step": 80,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 9.897294138330498,
"RMSE": 14.380930849374858,
"R2": -111.44182781593445,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.027966
},
{
"step": 100,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 8.086918618304638,
"RMSE": 12.871841233853624,
"R2": -55.52038254270653,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.038819
},
{
"step": 120,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 7.090525087262731,
"RMSE": 11.800543733353924,
"R2": -39.29933105483862,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.051073
},
{
"step": 140,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 6.252895179240796,
"RMSE": 10.939748534807466,
"R2": -34.79049149741283,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.064731
},
{
"step": 160,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 5.613172563674658,
"RMSE": 10.244365728872303,
"R2": -26.67772385659461,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.079792
},
{
"step": 180,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 5.139122523864994,
"RMSE": 9.674573881172426,
"R2": -20.679349421494624,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.096247
},
{
"step": 200,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 4.970287512907828,
"RMSE": 9.286148634805688,
"R2": -19.03287536608377,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.114161
},
{
"step": 220,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 4.714509288646119,
"RMSE": 8.88589717245386,
"R2": -18.78694495096694,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.133481
},
{
"step": 240,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 4.3785831664508095,
"RMSE": 8.51169894931726,
"R2": -17.292125083299812,
"Memory in Mb": 0.004836082458496,
"Time in s": 0.154212
},
{
"step": 260,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 4.192432902948977,
"RMSE": 8.203158141559566,
"R2": -16.21895925323482,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.176332
},
{
"step": 280,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 4.032216676138626,
"RMSE": 7.92689648751503,
"R2": -15.834209174335763,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.199865
},
{
"step": 300,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.888249411356283,
"RMSE": 7.680244711632193,
"R2": -14.54126486396457,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.224857
},
{
"step": 320,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.851910342336546,
"RMSE": 7.48583024126048,
"R2": -14.495465984230798,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.251273
},
{
"step": 340,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.7628843932429423,
"RMSE": 7.2990742240635536,
"R2": -14.5680671641431,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.279095
},
{
"step": 360,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.741498329747232,
"RMSE": 7.147194018854174,
"R2": -14.04949995366026,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.308317
},
{
"step": 380,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.6331417160345065,
"RMSE": 6.972318267910069,
"R2": -13.817498979914417,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.3389480000000001
},
{
"step": 400,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.505723677240456,
"RMSE": 6.801269751447825,
"R2": -13.497878046830476,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.371039
},
{
"step": 420,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.377789937544477,
"RMSE": 6.6406714986639335,
"R2": -13.278693194916952,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.4045350000000001
},
{
"step": 440,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.285565585155429,
"RMSE": 6.496417025168413,
"R2": -12.417819031510929,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.4394350000000001
},
{
"step": 460,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.204438206990859,
"RMSE": 6.363151879091182,
"R2": -11.207416254643826,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.4757300000000001
},
{
"step": 480,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.1147239220792944,
"RMSE": 6.234124280033156,
"R2": -10.44779843680249,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.5134280000000001
},
{
"step": 500,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 3.0674610457420317,
"RMSE": 6.126558214637352,
"R2": -9.824203383261038,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.5525380000000001
},
{
"step": 520,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.990407253638538,
"RMSE": 6.01302433311803,
"R2": -9.444947809169491,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.593122
},
{
"step": 540,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.9353658306947947,
"RMSE": 5.909270916056388,
"R2": -9.05064000964308,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.635128
},
{
"step": 560,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.8633890512526734,
"RMSE": 5.806679023039649,
"R2": -8.935926541145857,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.6785490000000001
},
{
"step": 580,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.807495338487497,
"RMSE": 5.711109374041071,
"R2": -8.849273711490637,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.723357
},
{
"step": 600,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.7371272959787114,
"RMSE": 5.616984296672238,
"R2": -8.421904346026553,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.769575
},
{
"step": 620,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.695279458158905,
"RMSE": 5.533794104458184,
"R2": -8.005492094038127,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.817237
},
{
"step": 640,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.663427445960627,
"RMSE": 5.457208108806078,
"R2": -7.594247452705627,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.866263
},
{
"step": 660,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.616152871221604,
"RMSE": 5.378587544649896,
"R2": -7.28837246231315,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.916653
},
{
"step": 680,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.5798661012588893,
"RMSE": 5.305972052989116,
"R2": -7.193548818831784,
"Memory in Mb": 0.0049962997436523,
"Time in s": 0.968481
},
{
"step": 700,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.537320459903927,
"RMSE": 5.236098928386573,
"R2": -7.188742583674767,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.021719
},
{
"step": 720,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.487562037475977,
"RMSE": 5.165214649048708,
"R2": -7.14359946989749,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.076348
},
{
"step": 740,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.4359344014471898,
"RMSE": 5.096521995605296,
"R2": -6.923665614900413,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.1323770000000002
},
{
"step": 760,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.407655610747697,
"RMSE": 5.035258504842907,
"R2": -6.818106944929671,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.1897670000000002
},
{
"step": 780,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.359216458068109,
"RMSE": 4.971257259303496,
"R2": -6.65476288050581,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.2485520000000003
},
{
"step": 800,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.316070029510264,
"RMSE": 4.9101929612142525,
"R2": -6.535402552442101,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.3087800000000005
},
{
"step": 820,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.2777366252623445,
"RMSE": 4.852446886619337,
"R2": -6.440024000118236,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.3703650000000005
},
{
"step": 840,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.243368105900121,
"RMSE": 4.7970088928814505,
"R2": -6.33849981001193,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.4333480000000005
},
{
"step": 860,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.208161873346368,
"RMSE": 4.742699334581194,
"R2": -6.1609167229990645,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.4977110000000002
},
{
"step": 880,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.173524312605847,
"RMSE": 4.690026300839657,
"R2": -5.967944096931786,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.5634250000000005
},
{
"step": 900,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.143113317062195,
"RMSE": 4.639957881226245,
"R2": -5.848706397355668,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.6305320000000003
},
{
"step": 920,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.107662636673197,
"RMSE": 4.590154711256589,
"R2": -5.812600067991807,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.6990770000000004
},
{
"step": 940,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.084055644614135,
"RMSE": 4.5438188766398575,
"R2": -5.732386133187966,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.7689810000000004
},
{
"step": 960,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.0573225686306618,
"RMSE": 4.498049663013517,
"R2": -5.666421016566231,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.8402960000000004
},
{
"step": 980,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 2.029372876222096,
"RMSE": 4.453478872426294,
"R2": -5.661880798559547,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.9129870000000004
},
{
"step": 1000,
"track": "Regression",
"model": "Linear Regression with l2 regularization",
"dataset": "TrumpApproval",
"MAE": 1.9991816433402003,
"RMSE": 4.409973662813209,
"R2": -5.642320489885111,
"Memory in Mb": 0.0049962997436523,
"Time in s": 1.9870360000000005
},
{
"step": 11,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 29.34636433128918,
"RMSE": 30.877867366178624,
"R2": -1226.303892160441,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.002755
},
{
"step": 22,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 16.78579478575624,
"RMSE": 22.219906445728544,
"R2": -521.8939460594183,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.007689
},
{
"step": 33,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 12.764406226748012,
"RMSE": 18.43476392899385,
"R2": -235.02444355689545,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0139269999999999
},
{
"step": 44,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 10.51475037374614,
"RMSE": 16.140786164803156,
"R2": -204.11441945614396,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.021043
},
{
"step": 55,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 11.118868381910096,
"RMSE": 17.807152193193623,
"R2": -60.900579144648304,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0290209999999999
},
{
"step": 66,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 10.068652098820438,
"RMSE": 16.444921319285292,
"R2": -21.75701273895947,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.037852
},
{
"step": 77,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 9.238561614797426,
"RMSE": 15.414518181428049,
"R2": -12.40107017683018,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0475289999999999
},
{
"step": 88,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 8.397438800335843,
"RMSE": 14.475112340817043,
"R2": -9.714489831884093,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0580659999999999
},
{
"step": 99,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.833048644024143,
"RMSE": 13.715858800506394,
"R2": -7.045954767890709,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.069447
},
{
"step": 110,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.655503029296072,
"RMSE": 13.224205829308971,
"R2": -4.223044606682061,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0819039999999999
},
{
"step": 121,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.616633860178707,
"RMSE": 12.86945366769748,
"R2": -2.809655727072758,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.0952199999999999
},
{
"step": 132,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.226514673025618,
"RMSE": 12.359535435581538,
"R2": -1.871770505407636,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1094009999999999
},
{
"step": 143,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.028644030968596,
"RMSE": 11.955222747545204,
"R2": -1.1763474084194208,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1244559999999999
},
{
"step": 154,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 6.986848640780892,
"RMSE": 11.69340351574852,
"R2": -0.7694704308339801,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1403709999999999
},
{
"step": 165,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.055944609610511,
"RMSE": 11.647997480703344,
"R2": -0.411397823157807,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1571089999999999
},
{
"step": 176,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.165300854035116,
"RMSE": 11.69334605191042,
"R2": -0.146892755517725,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1746439999999999
},
{
"step": 187,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.086580322778478,
"RMSE": 11.479257625599036,
"R2": 0.0950328202686906,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.1929879999999999
},
{
"step": 198,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.0079421524022685,
"RMSE": 11.279628541389028,
"R2": 0.3049625679809165,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.2121359999999999
},
{
"step": 209,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.136281210496879,
"RMSE": 11.437970564343969,
"R2": 0.4108328996032877,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.2320939999999999
},
{
"step": 220,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.591733813835971,
"RMSE": 12.23821647621677,
"R2": 0.409482641430799,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.252837
},
{
"step": 231,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.63642424272378,
"RMSE": 12.197368986664095,
"R2": 0.4982590675647103,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.274371
},
{
"step": 242,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.775639220351206,
"RMSE": 12.334191292520584,
"R2": 0.5871659255406134,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.296703
},
{
"step": 253,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 7.787415018822619,
"RMSE": 12.26821713761009,
"R2": 0.6452735558950271,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.31983
},
{
"step": 264,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 8.387229506824328,
"RMSE": 13.12794439290609,
"R2": 0.6288834273883384,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.343762
},
{
"step": 275,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 8.893165599265544,
"RMSE": 14.22060275652947,
"R2": 0.6168153604937621,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.368493
},
{
"step": 286,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 9.145334455404228,
"RMSE": 14.488680433063887,
"R2": 0.6554856011642076,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.394025
},
{
"step": 297,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 9.138984650870034,
"RMSE": 14.40937364029996,
"R2": 0.7044680409221951,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.420371
},
{
"step": 308,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 9.653721426872565,
"RMSE": 15.186897141025446,
"R2": 0.7076222812215553,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.447515
},
{
"step": 319,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 10.688547371510406,
"RMSE": 17.568442046558065,
"R2": 0.6449394075517852,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.475457
},
{
"step": 330,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 11.136888804773204,
"RMSE": 18.130051576409294,
"R2": 0.6764089203981734,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.5041950000000001
},
{
"step": 341,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 11.389709627918275,
"RMSE": 18.31814497212097,
"R2": 0.7041960757214223,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.53373
},
{
"step": 352,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 11.506556624125665,
"RMSE": 18.357319157972537,
"R2": 0.7299499902857889,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.56408
},
{
"step": 363,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 12.507799925411486,
"RMSE": 19.94157204039453,
"R2": 0.6905532928077196,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.5952430000000001
},
{
"step": 374,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 13.00643913732256,
"RMSE": 20.915910426515573,
"R2": 0.6870553798396234,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.6272240000000001
},
{
"step": 385,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 13.44126440090726,
"RMSE": 21.59107831138786,
"R2": 0.7049595304644938,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.6600050000000001
},
{
"step": 396,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 13.452600873244052,
"RMSE": 21.4799043653453,
"R2": 0.7277322681469997,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.6935880000000001
},
{
"step": 407,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 14.30954893105116,
"RMSE": 22.795153034451378,
"R2": 0.7149787127692513,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.7279810000000001
},
{
"step": 418,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 15.058465273046648,
"RMSE": 24.12824896117789,
"R2": 0.7002387244037227,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.7631730000000001
},
{
"step": 429,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 15.61316127520364,
"RMSE": 25.00709438423813,
"R2": 0.7138656442877266,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.799166
},
{
"step": 440,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 15.833192306896644,
"RMSE": 25.159785721055627,
"R2": 0.7308613212218023,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.8359580000000001
},
{
"step": 451,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 16.36714766376461,
"RMSE": 25.770608582556893,
"R2": 0.729638089688956,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.87355
},
{
"step": 462,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 17.39003054773241,
"RMSE": 27.77320733878432,
"R2": 0.7050560764454472,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.911945
},
{
"step": 473,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 18.288428268963266,
"RMSE": 29.396681708172505,
"R2": 0.7082265052542642,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.951137
},
{
"step": 484,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 18.65703381705754,
"RMSE": 29.64739580601693,
"R2": 0.7194912595024185,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.991127
},
{
"step": 495,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 19.170202167844984,
"RMSE": 30.22319045197901,
"R2": 0.7257784495510498,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.031919
},
{
"step": 506,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 20.00164363454025,
"RMSE": 31.52072905752619,
"R2": 0.7103967314785831,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.073505
},
{
"step": 517,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 20.7279777099298,
"RMSE": 32.51187613530653,
"R2": 0.7092492864364832,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.115928
},
{
"step": 528,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 21.56683033620196,
"RMSE": 33.84128388534863,
"R2": 0.7167757554755416,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.159144
},
{
"step": 539,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 21.76383497583081,
"RMSE": 33.92033428284125,
"R2": 0.727201090633804,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.203152
},
{
"step": 550,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 22.69913149057359,
"RMSE": 35.42417858076478,
"R2": 0.7116454901231712,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.247925
},
{
"step": 561,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 23.377380034069706,
"RMSE": 36.32705612571005,
"R2": 0.7100204288247138,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.293462
},
{
"step": 572,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "ChickWeights",
"MAE": 24.23392939046311,
"RMSE": 37.557568322570944,
"R2": 0.7132890208408607,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.339772
},
{
"step": 20,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 19.88769754963664,
"RMSE": 24.32970381980572,
"R2": -1387.4429851591376,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.004188
},
{
"step": 40,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 13.670966252574736,
"RMSE": 18.65150015508889,
"R2": -138.85979610511808,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.011118
},
{
"step": 60,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 10.92834996141842,
"RMSE": 15.667746469337834,
"R2": -132.052589810652,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.019635
},
{
"step": 80,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 9.678171261463673,
"RMSE": 14.124417656525663,
"R2": -107.46634425227307,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.0297069999999999
},
{
"step": 100,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 9.352313294103828,
"RMSE": 13.38210191485773,
"R2": -60.090321390572015,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.041437
},
{
"step": 120,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 8.620142702346234,
"RMSE": 12.447697479286916,
"R2": -43.84064485890953,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.05473
},
{
"step": 140,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 8.069393725677067,
"RMSE": 11.747669450243144,
"R2": -40.272086023690846,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.069574
},
{
"step": 160,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 7.915997483818508,
"RMSE": 11.323556682786094,
"R2": -32.81628847194888,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.085987
},
{
"step": 180,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 7.901057285338727,
"RMSE": 11.048721851620664,
"R2": -27.27526182903414,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.103947
},
{
"step": 200,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 7.54356570823564,
"RMSE": 10.615481381947994,
"R2": -25.17890116869019,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.1235479999999999
},
{
"step": 220,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 7.241521693861677,
"RMSE": 10.231227443733497,
"R2": -25.232015334984823,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.1447119999999999
},
{
"step": 240,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 7.008192421558015,
"RMSE": 9.935910620042463,
"R2": -23.925679436807183,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.1674199999999999
},
{
"step": 260,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 6.801990869552961,
"RMSE": 9.666795781283112,
"R2": -22.91166502123009,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.191681
},
{
"step": 280,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 6.624313646675292,
"RMSE": 9.422664085622769,
"R2": -22.786676328633025,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.217492
},
{
"step": 300,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 6.459069309379183,
"RMSE": 9.212027904845302,
"R2": -21.358709628275356,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.244937
},
{
"step": 320,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 6.271769455500056,
"RMSE": 8.978276576497144,
"R2": -21.290029949269996,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.2739479999999999
},
{
"step": 340,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 6.106653016686588,
"RMSE": 8.760106381933458,
"R2": -21.42424847489592,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.304509
},
{
"step": 360,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.987363514041657,
"RMSE": 8.573066448421043,
"R2": -20.653260781415117,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.336642
},
{
"step": 380,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.8616356212919145,
"RMSE": 8.393806584529749,
"R2": -20.475259224624704,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.370328
},
{
"step": 400,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.709779552257037,
"RMSE": 8.216191215364908,
"R2": -20.15755692495403,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.4056389999999999
},
{
"step": 420,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.611842526965273,
"RMSE": 8.072589482864162,
"R2": -20.100376445858966,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.442509
},
{
"step": 440,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.621266668644241,
"RMSE": 8.061169250733263,
"R2": -19.659995268253144,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.480923
},
{
"step": 460,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.589374981160082,
"RMSE": 7.977922595195435,
"R2": -18.1892858176961,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.520896
},
{
"step": 480,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.601949193869223,
"RMSE": 7.939757215258646,
"R2": -17.568871361729258,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.5624170000000001
},
{
"step": 500,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.5323381947357735,
"RMSE": 7.827118471157092,
"R2": -16.667155417363553,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.6055100000000001
},
{
"step": 520,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.482642323931563,
"RMSE": 7.735647602994712,
"R2": -16.286764124140948,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.6502260000000001
},
{
"step": 540,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.40625682094428,
"RMSE": 7.63238246035087,
"R2": -15.7666448554263,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.696447
},
{
"step": 560,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.339029679572209,
"RMSE": 7.532223621796607,
"R2": -15.718570546376949,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.744222
},
{
"step": 580,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.278136676956568,
"RMSE": 7.444054065699633,
"R2": -15.733326658615429,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.7935180000000001
},
{
"step": 600,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.267448053107655,
"RMSE": 7.406286860836784,
"R2": -15.380732931295814,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.8443630000000001
},
{
"step": 620,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.236749685364014,
"RMSE": 7.349650271122191,
"R2": -14.88527744664384,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.8968030000000001
},
{
"step": 640,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.212060707085285,
"RMSE": 7.303465599867649,
"R2": -14.393054201831111,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.95074
},
{
"step": 660,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.169763730821092,
"RMSE": 7.239859498572405,
"R2": -14.017341318649356,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.0062160000000002
},
{
"step": 680,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.126488999027155,
"RMSE": 7.167741867944588,
"R2": -13.952260083042017,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.063227
},
{
"step": 700,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.093088048073085,
"RMSE": 7.110044108134988,
"R2": -14.098928285386927,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.121789
},
{
"step": 720,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.090740367293551,
"RMSE": 7.074302078930798,
"R2": -14.275901824522656,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.181923
},
{
"step": 740,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.094807885255693,
"RMSE": 7.045283722404726,
"R2": -14.141723406350016,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.243554
},
{
"step": 760,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.043787658869922,
"RMSE": 6.975646542541488,
"R2": -14.00468895273832,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.306712
},
{
"step": 780,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.064043270517397,
"RMSE": 6.970645877797938,
"R2": -14.050305184338798,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.3714110000000002
},
{
"step": 800,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.100755566375936,
"RMSE": 7.010389089224324,
"R2": -14.360083784619212,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.4376520000000002
},
{
"step": 820,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.088064827359337,
"RMSE": 6.979627415872227,
"R2": -14.392786134873418,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.505445
},
{
"step": 840,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.068856460674791,
"RMSE": 6.93736545783203,
"R2": -14.348127111309871,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.574755
},
{
"step": 860,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.054699520351681,
"RMSE": 6.900248160625591,
"R2": -14.158172906563095,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.645553
},
{
"step": 880,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.051365258335469,
"RMSE": 6.881479694679562,
"R2": -14.000915574481752,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.717914
},
{
"step": 900,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 5.025346349320704,
"RMSE": 6.842894221251935,
"R2": -13.895672840614656,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.791764
},
{
"step": 920,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 4.9962011230931616,
"RMSE": 6.800765764747934,
"R2": -13.95456831471299,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.867216
},
{
"step": 940,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 4.964612353038952,
"RMSE": 6.764345134580912,
"R2": -13.920332812605436,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.944198
},
{
"step": 960,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 4.9296416909632255,
"RMSE": 6.717192667284049,
"R2": -13.866880687662514,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.02269
},
{
"step": 980,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 4.910978624057615,
"RMSE": 6.682715130965835,
"R2": -14.000438748691009,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.102738
},
{
"step": 1000,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 1",
"dataset": "TrumpApproval",
"MAE": 4.906394390750375,
"RMSE": 6.665596501187553,
"R2": -14.174901311798424,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.184247
},
{
"step": 11,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 40.361343182089286,
"RMSE": 50.93510711941157,
"R2": -3338.580868182736,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.003338
},
{
"step": 22,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 33.77268754890631,
"RMSE": 41.67984599422324,
"R2": -1838.845575618055,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.00919
},
{
"step": 33,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 32.39258875507137,
"RMSE": 38.96806999674433,
"R2": -1053.6287703611629,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.01639
},
{
"step": 44,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 30.94881031854868,
"RMSE": 36.76152485506615,
"R2": -1062.9809670274265,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.024921
},
{
"step": 55,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 33.955857035779495,
"RMSE": 41.369655851763525,
"R2": -333.094700988151,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.034827
},
{
"step": 66,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 34.010493836145145,
"RMSE": 40.92418807176112,
"R2": -139.93270784533922,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.046059
},
{
"step": 77,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 34.064338631511326,
"RMSE": 40.5595538563462,
"R2": -91.78246602216656,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.058629
},
{
"step": 88,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 34.363478110253816,
"RMSE": 40.47408671194747,
"R2": -82.76869054449229,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.072516
},
{
"step": 99,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 34.108671766629826,
"RMSE": 39.953033914579606,
"R2": -67.2701887367714,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.087732
},
{
"step": 110,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 35.5272246808861,
"RMSE": 41.29414928968925,
"R2": -49.9285816695273,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.104612
},
{
"step": 121,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 35.85052464333277,
"RMSE": 41.48724749727828,
"R2": -38.59084342971371,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.122819
},
{
"step": 132,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 36.414238795248615,
"RMSE": 42.10793271457587,
"R2": -32.332913655998325,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.142364
},
{
"step": 143,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 37.27092918309872,
"RMSE": 43.0841670883325,
"R2": -27.26495387953688,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.163229
},
{
"step": 154,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 37.68834060456834,
"RMSE": 43.351809236536255,
"R2": -23.3206899065102,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.18538
},
{
"step": 165,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 37.63751931524077,
"RMSE": 43.32469674855668,
"R2": -18.52621065458175,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.208847
},
{
"step": 176,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 38.77878602757167,
"RMSE": 44.74953718825682,
"R2": -15.796635622291838,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.233634
},
{
"step": 187,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 39.47954967522975,
"RMSE": 45.39032172466195,
"R2": -13.149195443978996,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.259707
},
{
"step": 198,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 40.91548075261064,
"RMSE": 46.96428169788168,
"R2": -11.049082215962626,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.287109
},
{
"step": 209,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 41.53723737741547,
"RMSE": 47.716579905431935,
"R2": -9.253665706385002,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.31584
},
{
"step": 220,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 41.99935380922626,
"RMSE": 48.63121942098776,
"R2": -8.324525171754294,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.345843
},
{
"step": 231,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 42.76794868726854,
"RMSE": 49.65880643089243,
"R2": -7.316484115890946,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.377141
},
{
"step": 242,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 44.368299619960766,
"RMSE": 51.88245138837915,
"R2": -6.304578357179455,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.409767
},
{
"step": 253,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 45.426835880148886,
"RMSE": 53.192808855117775,
"R2": -5.668628208432534,
"Memory in Mb": 0.0034055709838867,
"Time in s": 0.443674
},
{
"step": 264,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 46.93737170570451,
"RMSE": 55.9021194350506,
"R2": -5.729354993233594,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.478844
},
{
"step": 275,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 48.507353400069945,
"RMSE": 58.8434937271261,
"R2": -5.560984055006233,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.515365
},
{
"step": 286,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 49.83788736782816,
"RMSE": 60.74084767697289,
"R2": -5.054961799673954,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.5532039999999999
},
{
"step": 297,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 51.62361105051165,
"RMSE": 63.27455882125991,
"R2": -4.698656745997159,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.5923289999999999
},
{
"step": 308,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 53.1847087657747,
"RMSE": 65.32139627595005,
"R2": -4.409001340116382,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.6328059999999999
},
{
"step": 319,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 55.18568520771326,
"RMSE": 70.36874449488667,
"R2": -4.696335728503607,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.6746009999999999
},
{
"step": 330,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 56.89081675494835,
"RMSE": 72.51519786174504,
"R2": -4.176742159590063,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.7176629999999999
},
{
"step": 341,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 58.741890997125225,
"RMSE": 75.13624143509449,
"R2": -3.976681879584251,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.7620199999999999
},
{
"step": 352,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 60.2425190521958,
"RMSE": 76.8261590755005,
"R2": -3.729812475420129,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.8076819999999999
},
{
"step": 363,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 62.22918871806441,
"RMSE": 80.45649530418282,
"R2": -4.037201263859445,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.854609
},
{
"step": 374,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 64.15805403621584,
"RMSE": 84.29062360683722,
"R2": -4.082442538013045,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.902845
},
{
"step": 385,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 65.35464556519459,
"RMSE": 85.58979700811152,
"R2": -3.6363575203718743,
"Memory in Mb": 0.0034589767456054,
"Time in s": 0.952397
},
{
"step": 396,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 67.08652533638559,
"RMSE": 87.70251677464411,
"R2": -3.538952097004609,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.00322
},
{
"step": 407,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 68.34565949899115,
"RMSE": 89.3540667816312,
"R2": -3.3794635851122994,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.055319
},
{
"step": 418,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 70.95506872236689,
"RMSE": 94.70758550832085,
"R2": -3.618420231648276,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.108722
},
{
"step": 429,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 72.57879663609631,
"RMSE": 96.822819417077,
"R2": -3.2894241164712765,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.163438
},
{
"step": 440,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 74.40667828471298,
"RMSE": 99.12463362784464,
"R2": -3.1775863007897582,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.219419
},
{
"step": 451,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 75.93202948942836,
"RMSE": 101.47969042740628,
"R2": -3.192319994595937,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.276691
},
{
"step": 462,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 78.59712471455953,
"RMSE": 106.68213481552291,
"R2": -3.3518185198786687,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.335258
},
{
"step": 473,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 81.70573920737151,
"RMSE": 112.24508574603004,
"R2": -3.253866822086197,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.395089
},
{
"step": 484,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 82.72251416230137,
"RMSE": 113.16810597159808,
"R2": -3.0871576545332315,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.456215
},
{
"step": 495,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 84.44211178292737,
"RMSE": 115.99711612480068,
"R2": -3.039385949207989,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.518639
},
{
"step": 506,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 86.55149997089892,
"RMSE": 119.94151559804617,
"R2": -3.193242857597108,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.582321
},
{
"step": 517,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 87.81070722823603,
"RMSE": 121.26627191062052,
"R2": -3.0449837234699952,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.64731
},
{
"step": 528,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 90.44199567451936,
"RMSE": 126.238673662019,
"R2": -2.9411377147279807,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.713605
},
{
"step": 539,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 91.59067370330054,
"RMSE": 127.24192286613216,
"R2": -2.8386881284150203,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.781138
},
{
"step": 550,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 93.78609063040562,
"RMSE": 130.999704877259,
"R2": -2.943372518937519,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.84997
},
{
"step": 561,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 96.49865979675556,
"RMSE": 135.93192637304293,
"R2": -3.060223463970532,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.920139
},
{
"step": 572,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "ChickWeights",
"MAE": 99.56805853722273,
"RMSE": 141.40025114882988,
"R2": -3.0639630782357843,
"Memory in Mb": 0.0034589767456054,
"Time in s": 1.991547
},
{
"step": 20,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 38.256966119949794,
"RMSE": 53.46437671117289,
"R2": -6703.762875072117,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.004258
},
{
"step": 40,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 36.86518407094958,
"RMSE": 46.91757933405302,
"R2": -883.9863015306486,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.0112559999999999
},
{
"step": 60,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 34.81538726709292,
"RMSE": 43.77024226536395,
"R2": -1037.408328049847,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.019887
},
{
"step": 80,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 32.82099099523828,
"RMSE": 40.95636211937148,
"R2": -911.003802678922,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.0300789999999999
},
{
"step": 100,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 32.41507697560151,
"RMSE": 39.67328525303196,
"R2": -535.9329715822871,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.041942
},
{
"step": 120,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 32.126533810299065,
"RMSE": 38.74392424963554,
"R2": -433.4111998192701,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.055368
},
{
"step": 140,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.578696449953306,
"RMSE": 37.792227545537656,
"R2": -426.12792465890055,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.070349
},
{
"step": 160,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.74326128631808,
"RMSE": 36.75147996394125,
"R2": -355.2131008927076,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.086898
},
{
"step": 180,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.01457804514465,
"RMSE": 35.792387341570375,
"R2": -295.7316609698654,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.104998
},
{
"step": 200,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.69358993814741,
"RMSE": 35.287452593511624,
"R2": -288.27615949420783,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.124741
},
{
"step": 220,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.653103799764548,
"RMSE": 34.981694493871686,
"R2": -305.6605175079266,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.146064
},
{
"step": 240,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.438535707776744,
"RMSE": 34.575414655319626,
"R2": -300.8328104705327,
"Memory in Mb": 0.0043020248413085,
"Time in s": 0.168934
},
{
"step": 260,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.47891951475184,
"RMSE": 34.56744094622709,
"R2": -304.7589578451177,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.193372
},
{
"step": 280,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.26309099262944,
"RMSE": 34.21824031120625,
"R2": -312.6907330516863,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.2193709999999999
},
{
"step": 300,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.22587791049338,
"RMSE": 34.04470159277256,
"R2": -304.37628668920115,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.246997
},
{
"step": 320,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.39018713755992,
"RMSE": 34.027497016659055,
"R2": -319.1729973057711,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.276184
},
{
"step": 340,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.42027037377748,
"RMSE": 33.93053373578466,
"R2": -335.4190027425263,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.306921
},
{
"step": 360,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.664307062669348,
"RMSE": 34.045635299267715,
"R2": -340.48671423689984,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.339233
},
{
"step": 380,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 29.83498723746747,
"RMSE": 34.11808971579651,
"R2": -353.80514851974,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.373101
},
{
"step": 400,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.001082895685222,
"RMSE": 34.17628998525774,
"R2": -365.0785427385626,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.408596
},
{
"step": 420,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.14554243966483,
"RMSE": 34.20268208319664,
"R2": -377.7780423674053,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.445652
},
{
"step": 440,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.318997649838,
"RMSE": 34.29163258825692,
"R2": -372.8612574130533,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.484259
},
{
"step": 460,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.44816166194883,
"RMSE": 34.34474274542465,
"R2": -354.6310813895727,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.524426
},
{
"step": 480,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.547707035634,
"RMSE": 34.3460988289287,
"R2": -346.476863625336,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.5661419999999999
},
{
"step": 500,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.677713278160866,
"RMSE": 34.40102042286509,
"R2": -340.27577766039445,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.6094289999999999
},
{
"step": 520,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.774567489967996,
"RMSE": 34.41616981796676,
"R2": -341.1727526506248,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.6543389999999999
},
{
"step": 540,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.8774276068303,
"RMSE": 34.45885995564912,
"R2": -340.7651110108783,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.7007559999999999
},
{
"step": 560,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.809160821418956,
"RMSE": 34.35467967149731,
"R2": -346.7959646189386,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.7487349999999999
},
{
"step": 580,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.794626934327955,
"RMSE": 34.31319945532044,
"R2": -354.5377185045104,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.798249
},
{
"step": 600,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 30.95165244409411,
"RMSE": 34.41180694760753,
"R2": -352.62847406429205,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.849322
},
{
"step": 620,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.05924245979316,
"RMSE": 34.47559777081781,
"R2": -348.53049085374005,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.901986
},
{
"step": 640,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.17486346702509,
"RMSE": 34.55495775749415,
"R2": -343.578007451748,
"Memory in Mb": 0.0044355392456054,
"Time in s": 0.956154
},
{
"step": 660,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.18138785276698,
"RMSE": 34.53217565702543,
"R2": -340.6493968041527,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.011873
},
{
"step": 680,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.262098564397714,
"RMSE": 34.57860649898553,
"R2": -346.98225985471817,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.06915
},
{
"step": 700,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.21351117376332,
"RMSE": 34.56642775102796,
"R2": -355.8704038677769,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.127995
},
{
"step": 720,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.187412408778744,
"RMSE": 34.52480046664081,
"R2": -362.8329367085535,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.188423
},
{
"step": 740,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.11951946368673,
"RMSE": 34.44075758421072,
"R2": -360.84595808308967,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.250358
},
{
"step": 760,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.06286774404838,
"RMSE": 34.392033812715184,
"R2": -363.7319274626152,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.313829
},
{
"step": 780,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.122129081397333,
"RMSE": 34.4147077867913,
"R2": -365.8490836115921,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.378848
},
{
"step": 800,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.106214253085103,
"RMSE": 34.39160753515401,
"R2": -368.6700713862459,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.445416
},
{
"step": 820,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.221689813214,
"RMSE": 34.48240321448139,
"R2": -374.7057202811433,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.513551
},
{
"step": 840,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.279425902447173,
"RMSE": 34.50697415799086,
"R2": -378.7344488771949,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.583215
},
{
"step": 860,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.342876956175303,
"RMSE": 34.54160049479585,
"R2": -378.8414458535583,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.65438
},
{
"step": 880,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.26946109805924,
"RMSE": 34.463329541799936,
"R2": -375.2431199026635,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.727121
},
{
"step": 900,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.252963502360984,
"RMSE": 34.437602544585566,
"R2": -376.2648040183398,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.801358
},
{
"step": 920,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.17140034618248,
"RMSE": 34.35879469425013,
"R2": -380.710483609337,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.877212
},
{
"step": 940,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.028682196255257,
"RMSE": 34.23221645186374,
"R2": -381.1175926718204,
"Memory in Mb": 0.0044355392456054,
"Time in s": 1.954607
},
{
"step": 960,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.091829199349828,
"RMSE": 34.349474902309865,
"R2": -387.76257537598985,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.033516
},
{
"step": 980,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.00094350988743,
"RMSE": 34.303507421677764,
"R2": -394.25294990859175,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.113994
},
{
"step": 1000,
"track": "Regression",
"model": "Passive-Aggressive Regressor, mode 2",
"dataset": "TrumpApproval",
"MAE": 31.128814077399102,
"RMSE": 34.425663215951964,
"R2": -403.7738674316034,
"Memory in Mb": 0.0044355392456054,
"Time in s": 2.195941
},
{
"step": 11,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 4.6439393939393945,
"RMSE": 12.708027567111456,
"R2": -206.8805289598106,
"Memory in Mb": 0.007791519165039,
"Time in s": 0.002301
},
{
"step": 22,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.7674242424242426,
"RMSE": 9.021574170013263,
"R2": -85.19732920009746,
"Memory in Mb": 0.0116405487060546,
"Time in s": 0.007035
},
{
"step": 33,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.366161616161617,
"RMSE": 7.437810062008745,
"R2": -37.42129411139464,
"Memory in Mb": 0.0161724090576171,
"Time in s": 0.013843
},
{
"step": 44,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.015530303030304,
"RMSE": 6.463663489621867,
"R2": -31.893061768560024,
"Memory in Mb": 0.0202007293701171,
"Time in s": 0.022662
},
{
"step": 55,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.2124242424242424,
"RMSE": 6.080421054665558,
"R2": -6.217272109648366,
"Memory in Mb": 0.0243968963623046,
"Time in s": 0.033503
},
{
"step": 66,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.280050505050505,
"RMSE": 5.694858940322259,
"R2": -1.7290883479828647,
"Memory in Mb": 0.0287837982177734,
"Time in s": 0.046733
},
{
"step": 77,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.61926406926407,
"RMSE": 5.707950266794224,
"R2": -0.8375532519268223,
"Memory in Mb": 0.0331974029541015,
"Time in s": 0.062616
},
{
"step": 88,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.530492424242425,
"RMSE": 5.412982721609634,
"R2": -0.4983072905775765,
"Memory in Mb": 0.0375041961669921,
"Time in s": 0.081466
},
{
"step": 99,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.4755892255892267,
"RMSE": 5.17010990945742,
"R2": -0.1432234574096695,
"Memory in Mb": 0.0422878265380859,
"Time in s": 0.103593
},
{
"step": 110,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 2.7716666666666683,
"RMSE": 5.296236752390676,
"R2": 0.1622405877971293,
"Memory in Mb": 0.0433177947998046,
"Time in s": 0.129424
},
{
"step": 121,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 3.180853994490359,
"RMSE": 5.621206607854847,
"R2": 0.2731837882445769,
"Memory in Mb": 0.0438785552978515,
"Time in s": 0.158775
},
{
"step": 132,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 3.3642676767676765,
"RMSE": 5.706770043255583,
"R2": 0.3877536814355664,
"Memory in Mb": 0.0436267852783203,
"Time in s": 0.191664
},
{
"step": 143,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 3.646736596736596,
"RMSE": 5.919243012407738,
"R2": 0.4664867393310171,
"Memory in Mb": 0.0439319610595703,
"Time in s": 0.228099
},
{
"step": 154,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 3.7550865800865783,
"RMSE": 5.97572666401829,
"R2": 0.537892640768072,
"Memory in Mb": 0.0440692901611328,
"Time in s": 0.268063
},
{
"step": 165,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 4.093838383838381,
"RMSE": 6.488494998076776,
"R2": 0.562039588096868,
"Memory in Mb": 0.0446529388427734,
"Time in s": 0.311593
},
{
"step": 176,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 4.458428030303029,
"RMSE": 6.947478945595657,
"R2": 0.5951448357515823,
"Memory in Mb": 0.0446796417236328,
"Time in s": 0.358632
},
{
"step": 187,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 4.792959001782529,
"RMSE": 7.272258331212408,
"R2": 0.6368016898131145,
"Memory in Mb": 0.0447597503662109,
"Time in s": 0.40948
},
{
"step": 198,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 5.229713804713803,
"RMSE": 7.766788141562423,
"R2": 0.6704650236153215,
"Memory in Mb": 0.0442829132080078,
"Time in s": 0.46388
},
{
"step": 209,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 5.61188197767145,
"RMSE": 8.429860803311705,
"R2": 0.6799768871245477,
"Memory in Mb": 0.0443363189697265,
"Time in s": 0.521779
},
{
"step": 220,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 6.048560606060604,
"RMSE": 9.536044923225656,
"R2": 0.6414638231876792,
"Memory in Mb": 0.0443096160888671,
"Time in s": 0.583178
},
{
"step": 231,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 6.582178932178929,
"RMSE": 10.20324912411692,
"R2": 0.648905367768132,
"Memory in Mb": 0.0448932647705078,
"Time in s": 0.6480619999999999
},
{
"step": 242,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 7.071418732782365,
"RMSE": 10.928542055135823,
"R2": 0.6759002976153703,
"Memory in Mb": 0.0449466705322265,
"Time in s": 0.7164429999999999
},
{
"step": 253,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 7.477799736495386,
"RMSE": 11.323352624926212,
"R2": 0.6978095597045382,
"Memory in Mb": 0.045053482055664,
"Time in s": 0.7883119999999999
},
{
"step": 264,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 7.970770202020199,
"RMSE": 12.28335187867794,
"R2": 0.6750992767833781,
"Memory in Mb": 0.0446300506591796,
"Time in s": 0.8636689999999999
},
{
"step": 275,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 8.55812121212121,
"RMSE": 13.382565810664548,
"R2": 0.6606476529151027,
"Memory in Mb": 0.0446834564208984,
"Time in s": 0.942555
},
{
"step": 286,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 9.054137529137526,
"RMSE": 14.013384412631826,
"R2": 0.6777181990167639,
"Memory in Mb": 0.0448436737060546,
"Time in s": 1.024953
},
{
"step": 297,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 9.468967452300786,
"RMSE": 14.435360812541292,
"R2": 0.7034011013652389,
"Memory in Mb": 0.0454006195068359,
"Time in s": 1.110877
},
{
"step": 308,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 9.90871212121212,
"RMSE": 15.173853281638724,
"R2": 0.7081243055691319,
"Memory in Mb": 0.0454273223876953,
"Time in s": 1.200187
},
{
"step": 319,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 10.713740856844304,
"RMSE": 17.013635837866804,
"R2": 0.6670107307192514,
"Memory in Mb": 0.0455341339111328,
"Time in s": 1.2928449999999998
},
{
"step": 330,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 11.460252525252525,
"RMSE": 18.125243873896306,
"R2": 0.6765805165314649,
"Memory in Mb": 0.045083999633789,
"Time in s": 1.388826
},
{
"step": 341,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 11.901710654936462,
"RMSE": 18.5766916053512,
"R2": 0.6957870549438744,
"Memory in Mb": 0.0451908111572265,
"Time in s": 1.488176
},
{
"step": 352,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 12.310464015151512,
"RMSE": 18.922178666477887,
"R2": 0.7130752857476492,
"Memory in Mb": 0.0451641082763671,
"Time in s": 1.591164
},
{
"step": 363,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 12.780394857667584,
"RMSE": 19.823234941774256,
"R2": 0.694215027528111,
"Memory in Mb": 0.0456142425537109,
"Time in s": 1.697605
},
{
"step": 374,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 13.344073083778964,
"RMSE": 20.889730456192645,
"R2": 0.6878383009059359,
"Memory in Mb": 0.0456142425537109,
"Time in s": 1.807438
},
{
"step": 385,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 13.830865800865798,
"RMSE": 21.557316750546796,
"R2": 0.7058815074667231,
"Memory in Mb": 0.045694351196289,
"Time in s": 1.920665
},
{
"step": 396,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 14.08051346801346,
"RMSE": 21.615344438143325,
"R2": 0.7242879119502419,
"Memory in Mb": 0.0452175140380859,
"Time in s": 2.037277
},
{
"step": 407,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 14.665069615069608,
"RMSE": 22.79756192033108,
"R2": 0.714918470135155,
"Memory in Mb": 0.0452442169189453,
"Time in s": 2.157231
},
{
"step": 418,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 15.362400318979262,
"RMSE": 24.076729101709564,
"R2": 0.7015174886253861,
"Memory in Mb": 0.0457477569580078,
"Time in s": 2.280525
},
{
"step": 429,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 15.914413364413358,
"RMSE": 24.924104546372128,
"R2": 0.7157616535295273,
"Memory in Mb": 0.0458278656005859,
"Time in s": 2.407192
},
{
"step": 440,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 16.21655303030303,
"RMSE": 25.17906749713446,
"R2": 0.730448642009748,
"Memory in Mb": 0.0458545684814453,
"Time in s": 2.537243
},
{
"step": 451,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 16.571359940872135,
"RMSE": 25.529131814454708,
"R2": 0.7346810631079229,
"Memory in Mb": 0.0458812713623046,
"Time in s": 2.670662
},
{
"step": 462,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 17.517063492063492,
"RMSE": 27.45837911410348,
"R2": 0.7117049574257082,
"Memory in Mb": 0.0453777313232421,
"Time in s": 2.807433
},
{
"step": 473,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 18.23357998590557,
"RMSE": 28.586680380220997,
"R2": 0.7240841374900429,
"Memory in Mb": 0.0453510284423828,
"Time in s": 2.947633
},
{
"step": 484,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 18.61876721763086,
"RMSE": 29.038858036362505,
"R2": 0.7308884346272555,
"Memory in Mb": 0.0458812713623046,
"Time in s": 3.0911699999999995
},
{
"step": 495,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 19.16138047138048,
"RMSE": 29.754410032566323,
"R2": 0.7342191699916846,
"Memory in Mb": 0.0458812713623046,
"Time in s": 3.2380789999999995
},
{
"step": 506,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 19.69344532279316,
"RMSE": 30.658970587616192,
"R2": 0.7260154404176653,
"Memory in Mb": 0.0458545684814453,
"Time in s": 3.388348
},
{
"step": 517,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 20.317762733720187,
"RMSE": 31.53258587823862,
"R2": 0.7265009007981393,
"Memory in Mb": 0.0453777313232421,
"Time in s": 3.541995
},
{
"step": 528,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 21.03841540404041,
"RMSE": 32.63466371480821,
"R2": 0.7366125677104822,
"Memory in Mb": 0.0454311370849609,
"Time in s": 3.699025
},
{
"step": 539,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 21.282900432900444,
"RMSE": 32.8391739011002,
"R2": 0.7443140702924032,
"Memory in Mb": 0.0454044342041015,
"Time in s": 3.859333
},
{
"step": 550,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 21.858333333333334,
"RMSE": 33.61129662942374,
"R2": 0.7404041745313898,
"Memory in Mb": 0.0460147857666015,
"Time in s": 4.022901
},
{
"step": 561,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 22.36307189542484,
"RMSE": 34.18934989679706,
"R2": 0.7431446126310046,
"Memory in Mb": 0.0460681915283203,
"Time in s": 4.189756
},
{
"step": 572,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "ChickWeights",
"MAE": 22.904341491841496,
"RMSE": 34.79445522931405,
"R2": 0.7539238777546076,
"Memory in Mb": 0.046121597290039,
"Time in s": 4.359905
},
{
"step": 20,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 2.5579731333333355,
"RMSE": 9.79490509533104,
"R2": -224.0374880099697,
"Memory in Mb": 0.0161190032958984,
"Time in s": 0.00492
},
{
"step": 40,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 1.814472516666667,
"RMSE": 6.975921914401759,
"R2": -18.564491994995524,
"Memory in Mb": 0.0286769866943359,
"Time in s": 0.014556
},
{
"step": 60,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 1.386012811111112,
"RMSE": 5.70893041508138,
"R2": -16.665248891500116,
"Memory in Mb": 0.0407314300537109,
"Time in s": 0.029158
},
{
"step": 80,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 1.1425351583333334,
"RMSE": 4.950945892995169,
"R2": -12.326934431680348,
"Memory in Mb": 0.0527858734130859,
"Time in s": 0.04994
},
{
"step": 100,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 1.0609460066666667,
"RMSE": 4.443635225860514,
"R2": -5.735976224554387,
"Memory in Mb": 0.065317153930664,
"Time in s": 0.078368
},
{
"step": 120,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 1.0173975888888886,
"RMSE": 4.080152828774464,
"R2": -3.8177766328983793,
"Memory in Mb": 0.0658702850341796,
"Time in s": 0.115087
},
{
"step": 140,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.9499007047619044,
"RMSE": 3.785073461941064,
"R2": -3.284514427728187,
"Memory in Mb": 0.0653667449951171,
"Time in s": 0.160142
},
{
"step": 160,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.8997031916666666,
"RMSE": 3.548063392436267,
"R2": -2.320037309218333,
"Memory in Mb": 0.0653667449951171,
"Time in s": 0.213621
},
{
"step": 180,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.8894699925925924,
"RMSE": 3.3651237174821174,
"R2": -1.6229174672077478,
"Memory in Mb": 0.0658702850341796,
"Time in s": 0.275231
},
{
"step": 200,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.8368248133333331,
"RMSE": 3.1964619940401167,
"R2": -1.3736195901717156,
"Memory in Mb": 0.0653667449951171,
"Time in s": 0.3451079999999999
},
{
"step": 220,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.7973693939393937,
"RMSE": 3.051737973437425,
"R2": -1.333837761501293,
"Memory in Mb": 0.0653667449951171,
"Time in s": 0.4231859999999999
},
{
"step": 240,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.7882918027777774,
"RMSE": 2.9302063484469683,
"R2": -1.1678441811700535,
"Memory in Mb": 0.0658702850341796,
"Time in s": 0.5093219999999999
},
{
"step": 260,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.756480287179487,
"RMSE": 2.818118800540444,
"R2": -1.032185390259123,
"Memory in Mb": 0.065500259399414,
"Time in s": 0.603278
},
{
"step": 280,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.7152656523809521,
"RMSE": 2.716213897230066,
"R2": -0.9765794643185606,
"Memory in Mb": 0.065500259399414,
"Time in s": 0.705058
},
{
"step": 300,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6924420288888888,
"RMSE": 2.626670145740793,
"R2": -0.8178051192110904,
"Memory in Mb": 0.0660037994384765,
"Time in s": 0.8148869999999999
},
{
"step": 320,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6685162833333335,
"RMSE": 2.544831183351663,
"R2": -0.7907817018280727,
"Memory in Mb": 0.0660037994384765,
"Time in s": 0.932496
},
{
"step": 340,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6729953196078432,
"RMSE": 2.478015515638401,
"R2": -0.7943500832815562,
"Memory in Mb": 0.065500259399414,
"Time in s": 1.057867
},
{
"step": 360,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6574798574074076,
"RMSE": 2.410620514027796,
"R2": -0.7120191674014065,
"Memory in Mb": 0.0660037994384765,
"Time in s": 1.1910109999999998
},
{
"step": 380,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6458375333333335,
"RMSE": 2.3511270035956984,
"R2": -0.6848943678054311,
"Memory in Mb": 0.0660037994384765,
"Time in s": 1.3319119999999998
},
{
"step": 400,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6474776666666668,
"RMSE": 2.299895164719867,
"R2": -0.6578320154352482,
"Memory in Mb": 0.065500259399414,
"Time in s": 1.4805999999999997
},
{
"step": 420,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6263061492063494,
"RMSE": 2.245732257498697,
"R2": -0.6329783328857519,
"Memory in Mb": 0.0660037994384765,
"Time in s": 1.6370479999999996
},
{
"step": 440,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6161101106060607,
"RMSE": 2.196509834675512,
"R2": -0.5339119919932027,
"Memory in Mb": 0.0660037994384765,
"Time in s": 1.8010919999999997
},
{
"step": 460,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.6114796710144929,
"RMSE": 2.151899880839346,
"R2": -0.3961217660875815,
"Memory in Mb": 0.065500259399414,
"Time in s": 1.972734
},
{
"step": 480,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.595679659722222,
"RMSE": 2.1075134371992843,
"R2": -0.3083133320099125,
"Memory in Mb": 0.065500259399414,
"Time in s": 2.151984
},
{
"step": 500,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5871453373333329,
"RMSE": 2.067421382434369,
"R2": -0.2325961934637197,
"Memory in Mb": 0.0660037994384765,
"Time in s": 2.338834
},
{
"step": 520,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5787837589743586,
"RMSE": 2.029002666882104,
"R2": -0.1892840306210153,
"Memory in Mb": 0.065500259399414,
"Time in s": 2.533354
},
{
"step": 540,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5648130308641971,
"RMSE": 1.991660903442925,
"R2": -0.1417123847500625,
"Memory in Mb": 0.065500259399414,
"Time in s": 2.735472
},
{
"step": 560,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5728799083333329,
"RMSE": 1.964965242398572,
"R2": -0.1377909554693113,
"Memory in Mb": 0.0660037994384765,
"Time in s": 2.945174
},
{
"step": 580,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5729694735632179,
"RMSE": 1.9355227317321977,
"R2": -0.1312531571152491,
"Memory in Mb": 0.065500259399414,
"Time in s": 3.162675
},
{
"step": 600,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5633090777777773,
"RMSE": 1.904172510525728,
"R2": -0.0827915396879483,
"Memory in Mb": 0.065500259399414,
"Time in s": 3.387869
},
{
"step": 620,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5627685010752685,
"RMSE": 1.877938378401011,
"R2": -0.0371083516253996,
"Memory in Mb": 0.0660037994384765,
"Time in s": 3.620659
},
{
"step": 640,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5527265229166664,
"RMSE": 1.8490211996046173,
"R2": 0.0133784354988776,
"Memory in Mb": 0.0660037994384765,
"Time in s": 3.861011
},
{
"step": 660,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5494711494949491,
"RMSE": 1.8235613734746328,
"R2": 0.0472618750543785,
"Memory in Mb": 0.065500259399414,
"Time in s": 4.108899
},
{
"step": 680,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5450294392156858,
"RMSE": 1.7983422134533726,
"R2": 0.05878940572589,
"Memory in Mb": 0.0660037994384765,
"Time in s": 4.364357
},
{
"step": 700,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5469558666666661,
"RMSE": 1.7765896178823126,
"R2": 0.0572950833274868,
"Memory in Mb": 0.0660037994384765,
"Time in s": 4.627459
},
{
"step": 720,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.543456514814814,
"RMSE": 1.7539567687409483,
"R2": 0.0609744119033208,
"Memory in Mb": 0.065500259399414,
"Time in s": 4.898124
},
{
"step": 740,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5378193549549544,
"RMSE": 1.7312282531924004,
"R2": 0.085703628915721,
"Memory in Mb": 0.0660037994384765,
"Time in s": 5.1763650000000005
},
{
"step": 760,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5339037666666662,
"RMSE": 1.709797998783685,
"R2": 0.0985374850173486,
"Memory in Mb": 0.0660037994384765,
"Time in s": 5.462206
},
{
"step": 780,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5278528008547004,
"RMSE": 1.688590710651063,
"R2": 0.116822375782677,
"Memory in Mb": 0.065500259399414,
"Time in s": 5.755616
},
{
"step": 800,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5283612208333329,
"RMSE": 1.6702821330140922,
"R2": 0.1280551636806639,
"Memory in Mb": 0.065500259399414,
"Time in s": 6.056664
},
{
"step": 820,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5218793715447149,
"RMSE": 1.650734458460968,
"R2": 0.1389919937119252,
"Memory in Mb": 0.0660037994384765,
"Time in s": 6.365303
},
{
"step": 840,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5164909984126979,
"RMSE": 1.6320321449108954,
"R2": 0.1505777025063954,
"Memory in Mb": 0.065500259399414,
"Time in s": 6.681529
},
{
"step": 860,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5203083496124026,
"RMSE": 1.617111920842916,
"R2": 0.167474405637749,
"Memory in Mb": 0.065500259399414,
"Time in s": 7.005502
},
{
"step": 880,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5169651212121207,
"RMSE": 1.6004898524254525,
"R2": 0.188553388101048,
"Memory in Mb": 0.0660037994384765,
"Time in s": 7.337010999999999
},
{
"step": 900,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5126542296296291,
"RMSE": 1.583708561642625,
"R2": 0.2021320849395992,
"Memory in Mb": 0.065500259399414,
"Time in s": 7.676102999999999
},
{
"step": 920,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5104052702898545,
"RMSE": 1.5679886127118026,
"R2": 0.2050422348676139,
"Memory in Mb": 0.065500259399414,
"Time in s": 8.022855999999999
},
{
"step": 940,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5051605113475173,
"RMSE": 1.551953998854848,
"R2": 0.2146112384044058,
"Memory in Mb": 0.0660037994384765,
"Time in s": 8.377156
},
{
"step": 960,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.5025567965277773,
"RMSE": 1.5374441378201589,
"R2": 0.2211695274632112,
"Memory in Mb": 0.0660037994384765,
"Time in s": 8.739002999999999
},
{
"step": 980,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.4982526563945573,
"RMSE": 1.522650494486571,
"R2": 0.2212491734260424,
"Memory in Mb": 0.065500259399414,
"Time in s": 9.108430999999998
},
{
"step": 1000,
"track": "Regression",
"model": "k-Nearest Neighbors",
"dataset": "TrumpApproval",
"MAE": 0.4939745494666663,
"RMSE": 1.5080707141004983,
"R2": 0.2232321406133778,
"Memory in Mb": 0.0660037994384765,
"Time in s": 9.485458999999995
},
{
"step": 11,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 8.042756132756132,
"RMSE": 17.336048579080593,
"R2": -385.8634917094176,
"Memory in Mb": 0.0165748596191406,
"Time in s": 0.003293
},
{
"step": 22,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.456785613727984,
"RMSE": 12.282422261556867,
"R2": -158.770726389092,
"Memory in Mb": 0.0181541442871093,
"Time in s": 0.009578
},
{
"step": 33,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 3.4353973358733074,
"RMSE": 10.07037651743448,
"R2": -69.4325218162971,
"Memory in Mb": 0.0234184265136718,
"Time in s": 0.01815
},
{
"step": 44,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 2.736909422894262,
"RMSE": 8.732393473100391,
"R2": -59.03623058514604,
"Memory in Mb": 0.0244712829589843,
"Time in s": 0.029162
},
{
"step": 55,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 2.788577579622257,
"RMSE": 8.074088551816661,
"R2": -11.726025456653014,
"Memory in Mb": 0.0313148498535156,
"Time in s": 0.042723
},
{
"step": 66,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 3.395880085598137,
"RMSE": 7.878422021930021,
"R2": -4.223121571879303,
"Memory in Mb": 0.0407905578613281,
"Time in s": 0.0593589999999999
},
{
"step": 77,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 3.889526501621088,
"RMSE": 7.800910386370324,
"R2": -2.432180745921895,
"Memory in Mb": 0.0471076965332031,
"Time in s": 0.0796159999999999
},
{
"step": 88,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.072650698433535,
"RMSE": 7.572197783925699,
"R2": -1.9320509270116557,
"Memory in Mb": 0.0528984069824218,
"Time in s": 0.103875
},
{
"step": 99,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.410984939713907,
"RMSE": 7.55185413515251,
"R2": -1.439151418709002,
"Memory in Mb": 0.0539512634277343,
"Time in s": 0.132276
},
{
"step": 110,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.441558524813062,
"RMSE": 7.364764038532391,
"R2": -0.6199522309877294,
"Memory in Mb": 0.0555305480957031,
"Time in s": 0.164898
},
{
"step": 121,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.487290951327676,
"RMSE": 7.260940155844585,
"R2": -0.2126939871368238,
"Memory in Mb": 0.0555305480957031,
"Time in s": 0.201538
},
{
"step": 132,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.401729970486312,
"RMSE": 7.0591187066650845,
"R2": 0.0632010249038049,
"Memory in Mb": 0.0555305480957031,
"Time in s": 0.242248
},
{
"step": 143,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.303599977233167,
"RMSE": 6.863829202938119,
"R2": 0.2826256992169514,
"Memory in Mb": 0.0560569763183593,
"Time in s": 0.2871789999999999
},
{
"step": 154,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.247967976141752,
"RMSE": 6.717580819449276,
"R2": 0.4160344373982124,
"Memory in Mb": 0.0560569763183593,
"Time in s": 0.3361619999999999
},
{
"step": 165,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.525268599337025,
"RMSE": 6.978492074792776,
"R2": 0.493394283015475,
"Memory in Mb": 0.0560569763183593,
"Time in s": 0.3890969999999999
},
{
"step": 176,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.7434869323510185,
"RMSE": 7.161143757518859,
"R2": 0.5698598432460567,
"Memory in Mb": 0.0565834045410156,
"Time in s": 0.4460369999999999
},
{
"step": 187,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.817684977356876,
"RMSE": 7.1877471099050325,
"R2": 0.6451941261958376,
"Memory in Mb": 0.0565834045410156,
"Time in s": 0.5072089999999999
},
{
"step": 198,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 4.83667165494537,
"RMSE": 7.176577259975889,
"R2": 0.7186458480933114,
"Memory in Mb": 0.0565834045410156,
"Time in s": 0.5725709999999999
},
{
"step": 209,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 5.073405719834179,
"RMSE": 7.569308518085582,
"R2": 0.7419802486075263,
"Memory in Mb": 0.0217466354370117,
"Time in s": 0.645323
},
{
"step": 220,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 5.671396913729996,
"RMSE": 8.67042326781336,
"R2": 0.7036008152378226,
"Memory in Mb": 0.0280637741088867,
"Time in s": 0.719465
},
{
"step": 231,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 5.870013976865108,
"RMSE": 8.892004937785565,
"R2": 0.7333469233470653,
"Memory in Mb": 0.0333280563354492,
"Time in s": 0.7950900000000001
},
{
"step": 242,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 6.098410134572789,
"RMSE": 9.27860472778795,
"R2": 0.7663748869623117,
"Memory in Mb": 0.0380659103393554,
"Time in s": 0.8723510000000001
},
{
"step": 253,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 6.1962339865774,
"RMSE": 9.406595007903094,
"R2": 0.7914570321252903,
"Memory in Mb": 0.0417509078979492,
"Time in s": 0.951359
},
{
"step": 264,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 6.851942913488504,
"RMSE": 10.678395276366356,
"R2": 0.7544562538164442,
"Memory in Mb": 0.0418310165405273,
"Time in s": 1.031981
},
{
"step": 275,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 7.351838545672251,
"RMSE": 11.801369148896674,
"R2": 0.7361015298851068,
"Memory in Mb": 0.0418310165405273,
"Time in s": 1.114342
},
{
"step": 286,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 7.621792166351879,
"RMSE": 12.282711040561283,
"R2": 0.7524071035845484,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.198422
},
{
"step": 297,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 7.637256630205925,
"RMSE": 12.295347873811286,
"R2": 0.7848229800793282,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.284253
},
{
"step": 308,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 8.1943326666584,
"RMSE": 13.18128308543095,
"R2": 0.7797471460356308,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.3717719999999998
},
{
"step": 319,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 9.301321372784988,
"RMSE": 15.883856969554804,
"R2": 0.7097662534619076,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.4609289999999997
},
{
"step": 330,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 9.759535973032726,
"RMSE": 16.540475274696632,
"R2": 0.7306639846914664,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.5518979999999998
},
{
"step": 341,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 9.98108531256273,
"RMSE": 16.6656027575944,
"R2": 0.7551596457293974,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.6445489999999998
},
{
"step": 352,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 10.172493780682656,
"RMSE": 16.824682995393008,
"R2": 0.773160093080841,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.7389499999999998
},
{
"step": 363,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 11.068151856114426,
"RMSE": 18.263714825485387,
"R2": 0.7404354867888504,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.835003
},
{
"step": 374,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 11.603116520774073,
"RMSE": 19.443156920913136,
"R2": 0.7295745843003554,
"Memory in Mb": 0.0423574447631835,
"Time in s": 1.932986
},
{
"step": 385,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 12.00507936887919,
"RMSE": 20.0961554988217,
"R2": 0.744401153020958,
"Memory in Mb": 0.0423574447631835,
"Time in s": 2.032719
},
{
"step": 396,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 12.159003512064782,
"RMSE": 20.104597547074984,
"R2": 0.7614813985176707,
"Memory in Mb": 0.0423574447631835,
"Time in s": 2.134109
},
{
"step": 407,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 13.058561054914293,
"RMSE": 21.64678300128301,
"R2": 0.7429728504217219,
"Memory in Mb": 0.0393133163452148,
"Time in s": 2.2395339999999995
},
{
"step": 418,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 13.849374886718222,
"RMSE": 23.13707582414104,
"R2": 0.7243608784812086,
"Memory in Mb": 0.039839744567871,
"Time in s": 2.346639
},
{
"step": 429,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 14.418764158229274,
"RMSE": 24.09396728520024,
"R2": 0.7343803671174814,
"Memory in Mb": 0.0408926010131835,
"Time in s": 2.455353
},
{
"step": 440,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 14.611969435637262,
"RMSE": 24.1872515908579,
"R2": 0.7512659254336986,
"Memory in Mb": 0.0414190292358398,
"Time in s": 2.5657939999999995
},
{
"step": 451,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 15.14954210400284,
"RMSE": 24.823452151261105,
"R2": 0.7491462990276416,
"Memory in Mb": 0.0429983139038085,
"Time in s": 2.6778409999999995
},
{
"step": 462,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 16.266748325298664,
"RMSE": 26.99226997645693,
"R2": 0.7214095667925529,
"Memory in Mb": 0.0435247421264648,
"Time in s": 2.791571
},
{
"step": 473,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 17.063164501315207,
"RMSE": 28.33702908143248,
"R2": 0.7288823142196059,
"Memory in Mb": 0.0435247421264648,
"Time in s": 2.9070249999999995
},
{
"step": 484,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 17.41028324926407,
"RMSE": 28.63458736095403,
"R2": 0.7383292654808864,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.0241479999999994
},
{
"step": 495,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 17.881702409973563,
"RMSE": 29.18189849457619,
"R2": 0.7443486730566713,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.1430089999999997
},
{
"step": 506,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 18.783373559654446,
"RMSE": 30.65392766804094,
"R2": 0.7261055653266129,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.263499999999999
},
{
"step": 517,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 19.52135237811833,
"RMSE": 31.66784012367412,
"R2": 0.7241496029986892,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.3857279999999994
},
{
"step": 528,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 20.32410387080197,
"RMSE": 32.88418602247989,
"R2": 0.7325694870351915,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.509655999999999
},
{
"step": 539,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 20.50845806362208,
"RMSE": 32.89095814819447,
"R2": 0.7435070498169007,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.635277999999999
},
{
"step": 550,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 21.507291986413147,
"RMSE": 34.52927015042095,
"R2": 0.7260306568753008,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.762600999999999
},
{
"step": 561,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 22.222091157093345,
"RMSE": 35.46412346985515,
"R2": 0.7236334646353288,
"Memory in Mb": 0.0435247421264648,
"Time in s": 3.891587999999999
},
{
"step": 572,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "ChickWeights",
"MAE": 23.084218600655667,
"RMSE": 36.66377836765904,
"R2": 0.7267728639741885,
"Memory in Mb": 0.044051170349121,
"Time in s": 4.022359999999999
},
{
"step": 20,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 4.834704431652337,
"RMSE": 13.708514217962266,
"R2": -439.7934984576362,
"Memory in Mb": 0.0508193969726562,
"Time in s": 0.006949
},
{
"step": 40,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 3.4692310697037447,
"RMSE": 9.813795721313518,
"R2": -37.72035957928713,
"Memory in Mb": 0.0739822387695312,
"Time in s": 0.020525
},
{
"step": 60,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.530247618203559,
"RMSE": 8.024836796214231,
"R2": -33.90460110966681,
"Memory in Mb": 0.0866165161132812,
"Time in s": 0.041034
},
{
"step": 80,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.1398752670733447,
"RMSE": 6.982837000856316,
"R2": -25.510487239912003,
"Memory in Mb": 0.09661865234375,
"Time in s": 0.06908
},
{
"step": 100,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.2521629689485394,
"RMSE": 6.362737158647257,
"R2": -12.810573390910957,
"Memory in Mb": 0.1060943603515625,
"Time in s": 0.105159
},
{
"step": 120,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.275331183116589,
"RMSE": 5.895687482983747,
"R2": -9.059182991303912,
"Memory in Mb": 0.1103057861328125,
"Time in s": 0.149228
},
{
"step": 140,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.181766409647037,
"RMSE": 5.493495699082884,
"R2": -8.025069637302263,
"Memory in Mb": 0.1124114990234375,
"Time in s": 0.201546
},
{
"step": 160,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 2.0641207293789914,
"RMSE": 5.165105496730293,
"R2": -6.03588310696345,
"Memory in Mb": 0.1166229248046875,
"Time in s": 0.262282
},
{
"step": 180,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.9901037542149176,
"RMSE": 4.906162642056599,
"R2": -4.575276834209563,
"Memory in Mb": 0.1187286376953125,
"Time in s": 0.331582
},
{
"step": 200,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.854788525917255,
"RMSE": 4.661016718308231,
"R2": -4.0470005140641305,
"Memory in Mb": 0.015085220336914,
"Time in s": 0.422383
},
{
"step": 220,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.777996659033335,
"RMSE": 4.4592908674997,
"R2": -3.98319384245183,
"Memory in Mb": 0.0312490463256835,
"Time in s": 0.517121
},
{
"step": 240,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.696058551537428,
"RMSE": 4.277699003809556,
"R2": -3.620107687238352,
"Memory in Mb": 0.0370397567749023,
"Time in s": 0.616341
},
{
"step": 260,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.6130985138696277,
"RMSE": 4.114896288193841,
"R2": -3.332738894340625,
"Memory in Mb": 0.044569969177246,
"Time in s": 0.720441
},
{
"step": 280,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.5797289220452373,
"RMSE": 3.98595914915012,
"R2": -3.256494063385272,
"Memory in Mb": 0.0575590133666992,
"Time in s": 0.829564
},
{
"step": 300,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.5530598651848762,
"RMSE": 3.87273637004692,
"R2": -2.951592153393709,
"Memory in Mb": 0.0675611495971679,
"Time in s": 0.944355
},
{
"step": 320,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.487708679701559,
"RMSE": 3.753298690745279,
"R2": -2.895390019001044,
"Memory in Mb": 0.0754575729370117,
"Time in s": 1.064913
},
{
"step": 340,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.447577018485449,
"RMSE": 3.651821310152781,
"R2": -2.8968902417113367,
"Memory in Mb": 0.0807218551635742,
"Time in s": 1.191641
},
{
"step": 360,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.4679964351503354,
"RMSE": 3.577735862687295,
"R2": -2.771095017816483,
"Memory in Mb": 0.0886182785034179,
"Time in s": 1.324785
},
{
"step": 380,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.433746711521204,
"RMSE": 3.490600620499155,
"R2": -2.7138197592485107,
"Memory in Mb": 0.0938825607299804,
"Time in s": 1.4646529999999998
},
{
"step": 400,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.394545215153479,
"RMSE": 3.4083536810761967,
"R2": -2.640941921411436,
"Memory in Mb": 0.1012525558471679,
"Time in s": 1.611633
},
{
"step": 420,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.3582303513295786,
"RMSE": 3.3304244373469776,
"R2": -2.5913988321456767,
"Memory in Mb": 0.1054639816284179,
"Time in s": 1.7657539999999998
},
{
"step": 440,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.3237600646089562,
"RMSE": 3.2576165394889824,
"R2": -2.3739144098898306,
"Memory in Mb": 0.1112546920776367,
"Time in s": 1.927203
},
{
"step": 460,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.313374021763953,
"RMSE": 3.19664903268704,
"R2": -2.080839603370824,
"Memory in Mb": 0.1196775436401367,
"Time in s": 2.096272
},
{
"step": 480,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.2871329178228548,
"RMSE": 3.1331240379472574,
"R2": -1.891520259695389,
"Memory in Mb": 0.1275739669799804,
"Time in s": 2.277254
},
{
"step": 500,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.257405891185914,
"RMSE": 3.073015209583509,
"R2": -1.7232796098685204,
"Memory in Mb": 0.1323118209838867,
"Time in s": 2.471873
},
{
"step": 520,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.236691492049667,
"RMSE": 3.017934049641527,
"R2": -1.6311150670478525,
"Memory in Mb": 0.1375761032104492,
"Time in s": 2.675336
},
{
"step": 540,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.2120036461347103,
"RMSE": 2.9640451937301795,
"R2": -1.528689807762199,
"Memory in Mb": 0.1396818161010742,
"Time in s": 2.8858550000000003
},
{
"step": 560,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1973910792850353,
"RMSE": 2.9159627023633448,
"R2": -1.5056283897938432,
"Memory in Mb": 0.1444196701049804,
"Time in s": 3.1010690000000003
},
{
"step": 580,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1729976236433703,
"RMSE": 2.867868059269123,
"R2": -1.4835996265310456,
"Memory in Mb": 0.1470518112182617,
"Time in s": 3.321073
},
{
"step": 600,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.164383909889498,
"RMSE": 2.8255860627341494,
"R2": -1.384236602114556,
"Memory in Mb": 0.1414899826049804,
"Time in s": 3.5505340000000003
},
{
"step": 620,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1607847453289375,
"RMSE": 2.7880287925830083,
"R2": -1.2858933574415188,
"Memory in Mb": 0.1441221237182617,
"Time in s": 3.784549
},
{
"step": 640,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1488689392891114,
"RMSE": 2.748475985188827,
"R2": -1.179970998158682,
"Memory in Mb": 0.1462278366088867,
"Time in s": 4.023051000000001
},
{
"step": 660,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1353328006378431,
"RMSE": 2.711500109160092,
"R2": -1.1064542348150137,
"Memory in Mb": 0.0933332443237304,
"Time in s": 4.270219000000001
},
{
"step": 680,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1237673891934872,
"RMSE": 2.67586665558629,
"R2": -1.083872122585975,
"Memory in Mb": 0.1028089523315429,
"Time in s": 4.520950000000001
},
{
"step": 700,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.1197870211993892,
"RMSE": 2.6450513004918434,
"R2": -1.0896316212520398,
"Memory in Mb": 0.1107053756713867,
"Time in s": 4.77542
},
{
"step": 720,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0988128320741315,
"RMSE": 2.6090976903580367,
"R2": -1.077879402293885,
"Memory in Mb": 0.1170225143432617,
"Time in s": 5.033773
},
{
"step": 740,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0821696401958585,
"RMSE": 2.5758102479785587,
"R2": -1.0239793040320149,
"Memory in Mb": 0.1207075119018554,
"Time in s": 5.296116
},
{
"step": 760,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0646778366488154,
"RMSE": 2.542912274197232,
"R2": -0.9939800998628658,
"Memory in Mb": 0.1238660812377929,
"Time in s": 5.562507999999999
},
{
"step": 780,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0458773095514022,
"RMSE": 2.5110610332394967,
"R2": -0.953051985319172,
"Memory in Mb": 0.1301832199096679,
"Time in s": 5.833025999999999
},
{
"step": 800,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.037522387437363,
"RMSE": 2.4829468635274075,
"R2": -0.9268335078372076,
"Memory in Mb": 0.1405134201049804,
"Time in s": 6.107975999999999
},
{
"step": 820,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0344825476074344,
"RMSE": 2.459713101244265,
"R2": -0.9117084698305152,
"Memory in Mb": 0.1468305587768554,
"Time in s": 6.387556999999999
},
{
"step": 840,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0265033672562451,
"RMSE": 2.433853565150633,
"R2": -0.8891007921837151,
"Memory in Mb": 0.1505155563354492,
"Time in s": 6.671677999999999
},
{
"step": 860,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 1.0098876748057108,
"RMSE": 2.406249644034785,
"R2": -0.8433117943327111,
"Memory in Mb": 0.1520948410034179,
"Time in s": 6.960477999999999
},
{
"step": 880,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9987418826957182,
"RMSE": 2.3807044173500915,
"R2": -0.795415858642577,
"Memory in Mb": 0.1552534103393554,
"Time in s": 7.253952999999999
},
{
"step": 900,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9899512872354768,
"RMSE": 2.356297962435036,
"R2": -0.7662040947107138,
"Memory in Mb": 0.1573591232299804,
"Time in s": 7.552186999999999
},
{
"step": 920,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9763510674237786,
"RMSE": 2.3315103197053237,
"R2": -0.7576521562914318,
"Memory in Mb": 0.1254529953002929,
"Time in s": 7.860606999999999
},
{
"step": 940,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9721072130212216,
"RMSE": 2.310027291919755,
"R2": -0.7400479483856388,
"Memory in Mb": 0.1344251632690429,
"Time in s": 8.173459999999999
},
{
"step": 960,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9655343485152448,
"RMSE": 2.289186508543074,
"R2": -0.7266590967915565,
"Memory in Mb": 0.1402158737182617,
"Time in s": 8.490537999999999
},
{
"step": 980,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9583856890611192,
"RMSE": 2.2686834337047155,
"R2": -0.7288044208040367,
"Memory in Mb": 0.1444272994995117,
"Time in s": 8.812014999999999
},
{
"step": 1000,
"track": "Regression",
"model": "Hoeffding Tree",
"dataset": "TrumpApproval",
"MAE": 0.9497447679766952,
"RMSE": 2.248146643879841,
"R2": -0.7262238291744263,
"Memory in Mb": 0.1486387252807617,
"Time in s": 9.137959
},
{
"step": 11,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 8.051220648038832,
"RMSE": 17.336198122120386,
"R2": -385.8701660091343,
"Memory in Mb": 0.0232887268066406,
"Time in s": 0.00403
},
{
"step": 22,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.498502947359929,
"RMSE": 12.28528637536428,
"R2": -158.84524831763767,
"Memory in Mb": 0.0249290466308593,
"Time in s": 0.011609
},
{
"step": 33,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 3.4668695042339137,
"RMSE": 10.074636808082968,
"R2": -69.49212762837747,
"Memory in Mb": 0.0301933288574218,
"Time in s": 0.022078
},
{
"step": 44,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 2.7637805804889557,
"RMSE": 8.735764655686483,
"R2": -59.08259408516962,
"Memory in Mb": 0.0313072204589843,
"Time in s": 0.035307
},
{
"step": 55,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 2.814517498310432,
"RMSE": 8.074396776941786,
"R2": -11.726997097138026,
"Memory in Mb": 0.0381507873535156,
"Time in s": 0.051286
},
{
"step": 66,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 3.396900059747575,
"RMSE": 7.862006773633152,
"R2": -4.201378762014764,
"Memory in Mb": 0.0476264953613281,
"Time in s": 0.070551
},
{
"step": 77,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 3.8844336568547537,
"RMSE": 7.782255505653143,
"R2": -2.415785129732385,
"Memory in Mb": 0.0540046691894531,
"Time in s": 0.093692
},
{
"step": 88,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.068768385552718,
"RMSE": 7.555909217267645,
"R2": -1.9194502155140076,
"Memory in Mb": 0.0597953796386718,
"Time in s": 0.121065
},
{
"step": 99,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.311602452908636,
"RMSE": 7.487314706483316,
"R2": -1.3976387620786477,
"Memory in Mb": 0.0608482360839843,
"Time in s": 0.152902
},
{
"step": 110,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.261918758035323,
"RMSE": 7.240982145259267,
"R2": -0.5659557565320237,
"Memory in Mb": 0.0624275207519531,
"Time in s": 0.189312
},
{
"step": 121,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.32509570871032,
"RMSE": 7.149348278127394,
"R2": -0.1757051422939808,
"Memory in Mb": 0.0624275207519531,
"Time in s": 0.229979
},
{
"step": 132,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.243770455182887,
"RMSE": 6.949556168474376,
"R2": 0.0920549285716371,
"Memory in Mb": 0.0624275207519531,
"Time in s": 0.275055
},
{
"step": 143,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.119311205048765,
"RMSE": 6.740083059431663,
"R2": 0.3082592266545521,
"Memory in Mb": 0.0241641998291015,
"Time in s": 0.330922
},
{
"step": 154,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.094718549433554,
"RMSE": 6.618738421062464,
"R2": 0.4330929316851147,
"Memory in Mb": 0.034926414489746,
"Time in s": 0.389383
},
{
"step": 165,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.353591485820727,
"RMSE": 6.858418841195889,
"R2": 0.5106778054828556,
"Memory in Mb": 0.041365623474121,
"Time in s": 0.450937
},
{
"step": 176,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.494676115333661,
"RMSE": 6.99651956882687,
"R2": 0.5894091082089881,
"Memory in Mb": 0.0471563339233398,
"Time in s": 0.515937
},
{
"step": 187,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.531460188122701,
"RMSE": 6.982633238942946,
"R2": 0.6651551017011323,
"Memory in Mb": 0.052016258239746,
"Time in s": 0.584675
},
{
"step": 198,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.550856564096301,
"RMSE": 6.948954565412159,
"R2": 0.736210476532317,
"Memory in Mb": 0.0546483993530273,
"Time in s": 0.6572239999999999
},
{
"step": 209,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 4.745146525796211,
"RMSE": 7.286245359964537,
"R2": 0.7609173164436883,
"Memory in Mb": 0.0546483993530273,
"Time in s": 0.733675
},
{
"step": 220,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 5.330595718754616,
"RMSE": 8.515887777891804,
"R2": 0.7140722769094752,
"Memory in Mb": 0.0552968978881835,
"Time in s": 0.814194
},
{
"step": 231,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 5.50563091305374,
"RMSE": 8.701126762111178,
"R2": 0.7446721431039482,
"Memory in Mb": 0.0552968978881835,
"Time in s": 0.898563
},
{
"step": 242,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 5.723610994733609,
"RMSE": 9.068119167211083,
"R2": 0.7768542529953268,
"Memory in Mb": 0.0552968978881835,
"Time in s": 0.986859
},
{
"step": 253,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 5.834317193911452,
"RMSE": 9.203767847944404,
"R2": 0.8003533769470821,
"Memory in Mb": 0.0552968978881835,
"Time in s": 1.07894
},
{
"step": 264,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 6.561326226922799,
"RMSE": 10.595386608942691,
"R2": 0.7582588922727441,
"Memory in Mb": 0.0553770065307617,
"Time in s": 1.17475
},
{
"step": 275,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 7.055343281410319,
"RMSE": 11.793355798881397,
"R2": 0.7364597921881992,
"Memory in Mb": 0.0553770065307617,
"Time in s": 1.274735
},
{
"step": 286,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 7.331998951413002,
"RMSE": 12.245186296589464,
"R2": 0.7539176280650666,
"Memory in Mb": 0.0539121627807617,
"Time in s": 1.383231
},
{
"step": 297,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 7.416966166983629,
"RMSE": 12.289761227218738,
"R2": 0.7850184759487971,
"Memory in Mb": 0.0544385910034179,
"Time in s": 1.495361
},
{
"step": 308,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 7.99448083149163,
"RMSE": 13.217085318753208,
"R2": 0.7785490451915651,
"Memory in Mb": 0.0545606613159179,
"Time in s": 1.6112419999999998
},
{
"step": 319,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 9.157233410060112,
"RMSE": 16.13339057164046,
"R2": 0.7005755447430102,
"Memory in Mb": 0.0561399459838867,
"Time in s": 1.73087
},
{
"step": 330,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 9.47509121278654,
"RMSE": 16.446724789755304,
"R2": 0.7337084949314072,
"Memory in Mb": 0.0561399459838867,
"Time in s": 1.854306
},
{
"step": 341,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 9.757592549477597,
"RMSE": 16.701217161288277,
"R2": 0.7541120796137563,
"Memory in Mb": 0.0561399459838867,
"Time in s": 1.981549
},
{
"step": 352,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 9.93501095513177,
"RMSE": 16.87017564150386,
"R2": 0.7719317193583981,
"Memory in Mb": 0.0561399459838867,
"Time in s": 2.112498
},
{
"step": 363,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 10.85670423687554,
"RMSE": 18.405576814105093,
"R2": 0.7363875320655082,
"Memory in Mb": 0.0561399459838867,
"Time in s": 2.247206
},
{
"step": 374,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 11.59956477803306,
"RMSE": 20.214372545093333,
"R2": 0.7076961913412723,
"Memory in Mb": 0.0658864974975586,
"Time in s": 2.386792
},
{
"step": 385,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 12.011712885443345,
"RMSE": 20.838356414394227,
"R2": 0.7251727140820715,
"Memory in Mb": 0.0713338851928711,
"Time in s": 2.531165
},
{
"step": 396,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 12.02179706392092,
"RMSE": 20.699504894468426,
"R2": 0.7471567277697432,
"Memory in Mb": 0.0781774520874023,
"Time in s": 2.680539
},
{
"step": 407,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 12.867904342374958,
"RMSE": 22.04935022682606,
"R2": 0.733324041761514,
"Memory in Mb": 0.0825719833374023,
"Time in s": 2.8351709999999994
},
{
"step": 418,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 13.7726214629037,
"RMSE": 23.76360253855293,
"R2": 0.7092307493255587,
"Memory in Mb": 0.0846776962280273,
"Time in s": 2.9951159999999994
},
{
"step": 429,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 14.320664029675132,
"RMSE": 24.67720892632965,
"R2": 0.7213650338700139,
"Memory in Mb": 0.0656805038452148,
"Time in s": 3.164622
},
{
"step": 440,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 14.560745017781516,
"RMSE": 24.854467305977835,
"R2": 0.7373537773889289,
"Memory in Mb": 0.0706624984741211,
"Time in s": 3.338776
},
{
"step": 451,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 15.05271815758178,
"RMSE": 25.416929688531035,
"R2": 0.7370081245929037,
"Memory in Mb": 0.0787420272827148,
"Time in s": 3.5178329999999995
},
{
"step": 462,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 16.182360709465044,
"RMSE": 27.521690548068367,
"R2": 0.7103739673524856,
"Memory in Mb": 0.0857076644897461,
"Time in s": 3.702085
},
{
"step": 473,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 17.028395162723214,
"RMSE": 29.038217655150596,
"R2": 0.7152989103492285,
"Memory in Mb": 0.0888662338256836,
"Time in s": 3.891670999999999
},
{
"step": 484,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 17.39410374569335,
"RMSE": 29.368989764604034,
"R2": 0.7247347991767862,
"Memory in Mb": 0.0889272689819336,
"Time in s": 4.084988999999999
},
{
"step": 495,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 17.903720470221085,
"RMSE": 29.931789274576047,
"R2": 0.7310408495158558,
"Memory in Mb": 0.0889272689819336,
"Time in s": 4.281388999999999
},
{
"step": 506,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 18.828904303353827,
"RMSE": 31.360943457558232,
"R2": 0.7133254165496098,
"Memory in Mb": 0.0895147323608398,
"Time in s": 4.480870999999999
},
{
"step": 517,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 19.65231385288099,
"RMSE": 32.53535290181733,
"R2": 0.7088292337107098,
"Memory in Mb": 0.0743856430053711,
"Time in s": 4.686204999999998
},
{
"step": 528,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 20.485248099981963,
"RMSE": 33.800991401884744,
"R2": 0.7174497851371298,
"Memory in Mb": 0.0787191390991211,
"Time in s": 4.894319999999999
},
{
"step": 539,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 20.62693587606907,
"RMSE": 33.76714158926765,
"R2": 0.7296595823775684,
"Memory in Mb": 0.0872030258178711,
"Time in s": 5.105511999999998
},
{
"step": 550,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 21.61100465238265,
"RMSE": 35.363345192969206,
"R2": 0.7126350131259431,
"Memory in Mb": 0.0935201644897461,
"Time in s": 5.319765999999999
},
{
"step": 561,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 22.391562087266266,
"RMSE": 36.4058649659661,
"R2": 0.708760885936744,
"Memory in Mb": 0.0934362411499023,
"Time in s": 5.537231999999999
},
{
"step": 572,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "ChickWeights",
"MAE": 23.25574522992599,
"RMSE": 37.57896806973795,
"R2": 0.7129622004044582,
"Memory in Mb": 0.0946111679077148,
"Time in s": 5.757816999999998
},
{
"step": 20,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 4.828377634536296,
"RMSE": 13.70786256219322,
"R2": -439.7515918302183,
"Memory in Mb": 0.0575942993164062,
"Time in s": 0.005178
},
{
"step": 40,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 3.453811275213839,
"RMSE": 9.811073218407971,
"R2": -37.69887927291551,
"Memory in Mb": 0.0808181762695312,
"Time in s": 0.01451
},
{
"step": 60,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 2.5116544078850294,
"RMSE": 8.021960641037959,
"R2": -33.879585508404254,
"Memory in Mb": 0.0934524536132812,
"Time in s": 0.027873
},
{
"step": 80,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 2.1224425015381523,
"RMSE": 6.9797990571526345,
"R2": -25.487425023640156,
"Memory in Mb": 0.103515625,
"Time in s": 0.045557
},
{
"step": 100,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 2.246653919301699,
"RMSE": 6.363694444016854,
"R2": -12.814729355257526,
"Memory in Mb": 0.1129913330078125,
"Time in s": 0.06794
},
{
"step": 120,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 2.270681160376927,
"RMSE": 5.896666779393501,
"R2": -9.06252500695684,
"Memory in Mb": 0.1172027587890625,
"Time in s": 0.095003
},
{
"step": 140,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 2.1411489845018936,
"RMSE": 5.486121567062232,
"R2": -8.000856498367144,
"Memory in Mb": 0.1193084716796875,
"Time in s": 0.126859
},
{
"step": 160,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.9595309296437795,
"RMSE": 5.145701533389061,
"R2": -5.983118424699933,
"Memory in Mb": 0.048110008239746,
"Time in s": 0.170894
},
{
"step": 180,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.8606850760789413,
"RMSE": 4.874784956472401,
"R2": -4.504190782470528,
"Memory in Mb": 0.0645513534545898,
"Time in s": 0.218268
},
{
"step": 200,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.753768292507887,
"RMSE": 4.635064394721464,
"R2": -3.990954055000616,
"Memory in Mb": 0.0751142501831054,
"Time in s": 0.2693379999999999
},
{
"step": 220,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.6442100676088158,
"RMSE": 4.426753978888705,
"R2": -3.910740120483753,
"Memory in Mb": 0.0809926986694336,
"Time in s": 0.324221
},
{
"step": 240,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.5586094458315778,
"RMSE": 4.243291414416048,
"R2": -3.546083102970604,
"Memory in Mb": 0.0831594467163086,
"Time in s": 0.383071
},
{
"step": 260,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.4757349309283123,
"RMSE": 4.079934399827006,
"R2": -3.259426129696055,
"Memory in Mb": 0.0869779586791992,
"Time in s": 0.445946
},
{
"step": 280,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.429182741517093,
"RMSE": 3.94384178403937,
"R2": -3.1670173911200505,
"Memory in Mb": 0.0965147018432617,
"Time in s": 0.513038
},
{
"step": 300,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.395554812880875,
"RMSE": 3.827170050036498,
"R2": -2.859150937529973,
"Memory in Mb": 0.1050596237182617,
"Time in s": 0.584571
},
{
"step": 320,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.342072644309252,
"RMSE": 3.7085248950294263,
"R2": -2.8030066952692625,
"Memory in Mb": 0.1113767623901367,
"Time in s": 0.660678
},
{
"step": 340,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.2981450416106572,
"RMSE": 3.6023493777501,
"R2": -2.7920215666096264,
"Memory in Mb": 0.0969266891479492,
"Time in s": 0.7468359999999999
},
{
"step": 360,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.3017629599133824,
"RMSE": 3.52722030011446,
"R2": -2.665355451896766,
"Memory in Mb": 0.1048231124877929,
"Time in s": 0.837109
},
{
"step": 380,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.2791887566109008,
"RMSE": 3.4421979658375847,
"R2": -2.6115379824259644,
"Memory in Mb": 0.1101484298706054,
"Time in s": 0.931726
},
{
"step": 400,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.2309239845123985,
"RMSE": 3.35653802988408,
"R2": -2.531080237482485,
"Memory in Mb": 0.1175184249877929,
"Time in s": 1.030965
},
{
"step": 420,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.204488166009232,
"RMSE": 3.279580566778272,
"R2": -2.4825797995498564,
"Memory in Mb": 0.1217298507690429,
"Time in s": 1.13497
},
{
"step": 440,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1805943216757937,
"RMSE": 3.209931042788128,
"R2": -2.2758615914195226,
"Memory in Mb": 0.1275205612182617,
"Time in s": 1.243696
},
{
"step": 460,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1747748413206256,
"RMSE": 3.150463961675437,
"R2": -1.9924589881120156,
"Memory in Mb": 0.1354780197143554,
"Time in s": 1.3572460000000002
},
{
"step": 480,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1643181646721343,
"RMSE": 3.0907225956471227,
"R2": -1.8137863387673288,
"Memory in Mb": 0.1433744430541992,
"Time in s": 1.47581
},
{
"step": 500,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1467427258000205,
"RMSE": 3.033773569773335,
"R2": -1.6541724792729693,
"Memory in Mb": 0.1362333297729492,
"Time in s": 1.6042770000000002
},
{
"step": 520,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1310531754619513,
"RMSE": 2.979836071514613,
"R2": -1.5651047078316291,
"Memory in Mb": 0.1415586471557617,
"Time in s": 1.7377410000000002
},
{
"step": 540,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1142715036195536,
"RMSE": 2.927551584361061,
"R2": -1.466806182052764,
"Memory in Mb": 0.1436643600463867,
"Time in s": 1.876231
},
{
"step": 560,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.1052485405576076,
"RMSE": 2.88137538641146,
"R2": -1.4465405352520455,
"Memory in Mb": 0.1484022140502929,
"Time in s": 2.0198690000000004
},
{
"step": 580,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0859142446379713,
"RMSE": 2.834429565013283,
"R2": -1.4260211929714153,
"Memory in Mb": 0.1510343551635742,
"Time in s": 2.168629
},
{
"step": 600,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0769717813954385,
"RMSE": 2.7922355683541964,
"R2": -1.3282862925750138,
"Memory in Mb": 0.1547193527221679,
"Time in s": 2.322692
},
{
"step": 620,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0766885404316004,
"RMSE": 2.756385805344716,
"R2": -1.234299900153052,
"Memory in Mb": 0.1578779220581054,
"Time in s": 2.481953
},
{
"step": 640,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.066276571170311,
"RMSE": 2.7176435544384367,
"R2": -1.1313354614936588,
"Memory in Mb": 0.1599836349487304,
"Time in s": 2.646434
},
{
"step": 660,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0564634149761172,
"RMSE": 2.6824145051502803,
"R2": -1.061505763110988,
"Memory in Mb": 0.1636686325073242,
"Time in s": 2.816279
},
{
"step": 680,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0488950225738152,
"RMSE": 2.6482621618516,
"R2": -1.0410990478472515,
"Memory in Mb": 0.1663007736206054,
"Time in s": 2.991546
},
{
"step": 700,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0494335446356584,
"RMSE": 2.619695292588707,
"R2": -1.0497603683353351,
"Memory in Mb": 0.1547193527221679,
"Time in s": 3.177748
},
{
"step": 720,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0311572549278785,
"RMSE": 2.584165722213007,
"R2": -1.038357615399126,
"Memory in Mb": 0.1594572067260742,
"Time in s": 3.369155
},
{
"step": 740,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 1.0166711191684197,
"RMSE": 2.551525288520744,
"R2": -0.9859947129346353,
"Memory in Mb": 0.1632032394409179,
"Time in s": 3.565871
},
{
"step": 760,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.998612246058934,
"RMSE": 2.518502326974768,
"R2": -0.9558825700512557,
"Memory in Mb": 0.1647825241088867,
"Time in s": 3.768021
},
{
"step": 780,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9842422617410423,
"RMSE": 2.4876653972852822,
"R2": -0.916828228451222,
"Memory in Mb": 0.1695814132690429,
"Time in s": 3.975687
},
{
"step": 800,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9822601758268574,
"RMSE": 2.462050972175237,
"R2": -0.8945384291924348,
"Memory in Mb": 0.1616849899291992,
"Time in s": 4.194112
},
{
"step": 820,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9867607749501652,
"RMSE": 2.442599600947298,
"R2": -0.8851995145588711,
"Memory in Mb": 0.1643171310424804,
"Time in s": 4.4181
},
{
"step": 840,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9793985197413392,
"RMSE": 2.417271328475225,
"R2": -0.8634469862274994,
"Memory in Mb": 0.1680021286010742,
"Time in s": 4.647504
},
{
"step": 860,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9647458553132984,
"RMSE": 2.3903176435066817,
"R2": -0.8189831286734526,
"Memory in Mb": 0.1701078414916992,
"Time in s": 4.882465
},
{
"step": 880,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9550000119490066,
"RMSE": 2.3652388018081414,
"R2": -0.7721647401587992,
"Memory in Mb": 0.1727399826049804,
"Time in s": 5.123038
},
{
"step": 900,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.945028697359752,
"RMSE": 2.34076619049233,
"R2": -0.7429966155689833,
"Memory in Mb": 0.1115369796752929,
"Time in s": 5.374164
},
{
"step": 920,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9340382087332012,
"RMSE": 2.316653968016665,
"R2": -0.7353240501222194,
"Memory in Mb": 0.1163969039916992,
"Time in s": 5.629799
},
{
"step": 940,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.93159447743873,
"RMSE": 2.295899595899596,
"R2": -0.7188294143518761,
"Memory in Mb": 0.1223096847534179,
"Time in s": 5.8899680000000005
},
{
"step": 960,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9266882702688716,
"RMSE": 2.2758824318695603,
"R2": -0.7066477496763941,
"Memory in Mb": 0.1296796798706054,
"Time in s": 6.154803
},
{
"step": 980,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.9199947893356224,
"RMSE": 2.255690063945526,
"R2": -0.7090584581073034,
"Memory in Mb": 0.1349439620971679,
"Time in s": 6.424549
},
{
"step": 1000,
"track": "Regression",
"model": "Hoeffding Adaptive Tree",
"dataset": "TrumpApproval",
"MAE": 0.910675347240908,
"RMSE": 2.2342958873570486,
"R2": -0.7050189374098543,
"Memory in Mb": 0.1382246017456054,
"Time in s": 6.699174
},
{
"step": 11,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 41.63636363636363,
"RMSE": 41.64569169030137,
"R2": -2231.5319148936137,
"Memory in Mb": 0.0096149444580078,
"Time in s": 0.001833
},
{
"step": 22,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 41.31818181818181,
"RMSE": 41.32960638133835,
"R2": -1808.0547045951903,
"Memory in Mb": 0.0126094818115234,
"Time in s": 0.00539
},
{
"step": 33,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 41.12121212121212,
"RMSE": 41.13871582091424,
"R2": -1174.393494897962,
"Memory in Mb": 0.015787124633789,
"Time in s": 0.009921
},
{
"step": 44,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 41.159090909090914,
"RMSE": 41.17451771534076,
"R2": -1333.7620984139928,
"Memory in Mb": 0.0188732147216796,
"Time in s": 0.015497
},
{
"step": 55,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 41.5090909090909,
"RMSE": 41.57075020645253,
"R2": -336.3506066081568,
"Memory in Mb": 0.0218257904052734,
"Time in s": 0.022338
},
{
"step": 66,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 42.681818181818166,
"RMSE": 42.82080349691271,
"R2": -153.29834830483878,
"Memory in Mb": 0.0246181488037109,
"Time in s": 0.030239
},
{
"step": 77,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 43.50649350649351,
"RMSE": 43.70978671356627,
"R2": -106.75487995129542,
"Memory in Mb": 0.0275020599365234,
"Time in s": 0.039152
},
{
"step": 88,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 44.21590909090909,
"RMSE": 44.43649707984724,
"R2": -99.97346126163,
"Memory in Mb": 0.0300197601318359,
"Time in s": 0.049123
},
{
"step": 99,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 45.05050505050505,
"RMSE": 45.309262771858165,
"R2": -86.8022342468144,
"Memory in Mb": 0.0329036712646484,
"Time in s": 0.060256
},
{
"step": 110,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 46.16363636363636,
"RMSE": 46.52487115902242,
"R2": -63.64797006437341,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.074892
},
{
"step": 121,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 47.21487603305785,
"RMSE": 47.67304278378361,
"R2": -51.27707184490422,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.095588
},
{
"step": 132,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 48.29545454545455,
"RMSE": 48.843054157105485,
"R2": -43.84882422437649,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.122121
},
{
"step": 143,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 49.44055944055945,
"RMSE": 50.100318941519305,
"R2": -37.220279564063546,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.154488
},
{
"step": 154,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 50.532467532467535,
"RMSE": 51.29137544271156,
"R2": -33.04474826644667,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.192654
},
{
"step": 165,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 51.690909090909095,
"RMSE": 52.61253451297311,
"R2": -27.795548438273773,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.236647
},
{
"step": 176,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 53.00568181818182,
"RMSE": 54.11860921749895,
"R2": -23.566226925646237,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.286373
},
{
"step": 187,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 54.41176470588235,
"RMSE": 55.733754017636336,
"R2": -20.33250305682894,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.341821
},
{
"step": 198,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 56.02525252525252,
"RMSE": 57.635786091488654,
"R2": -17.146924852486976,
"Memory in Mb": 0.2696781158447265,
"Time in s": 0.403009
},
{
"step": 209,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 55.16354936929098,
"RMSE": 57.0482200725598,
"R2": -13.656313160472004,
"Memory in Mb": 0.6838865280151367,
"Time in s": 0.4890500000000001
},
{
"step": 220,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 53.62203856749311,
"RMSE": 56.03531795068661,
"R2": -11.37998411824978,
"Memory in Mb": 0.6869077682495117,
"Time in s": 0.5845720000000001
},
{
"step": 231,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.77279286370195,
"RMSE": 55.29408706815337,
"R2": -9.311090357596036,
"Memory in Mb": 0.6899290084838867,
"Time in s": 0.6897040000000001
},
{
"step": 242,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.49661908339594,
"RMSE": 55.0071045368674,
"R2": -7.210918602421254,
"Memory in Mb": 0.6929502487182617,
"Time in s": 0.8041680000000001
},
{
"step": 253,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.25631812193077,
"RMSE": 54.71344660515688,
"R2": -6.055353919833875,
"Memory in Mb": 0.6947126388549805,
"Time in s": 0.92814
},
{
"step": 264,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 51.62511478420569,
"RMSE": 54.312843786153664,
"R2": -5.352168023774992,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.061635
},
{
"step": 275,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 51.4425344352617,
"RMSE": 54.29364548356293,
"R2": -4.585603291722447,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.204612
},
{
"step": 286,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 51.75651621106165,
"RMSE": 54.635705044608144,
"R2": -3.8989478253777694,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.357118
},
{
"step": 297,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.373839404142416,
"RMSE": 55.25476711535166,
"R2": -3.3456400671942,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.518976
},
{
"step": 308,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.87239275875638,
"RMSE": 55.86677247417265,
"R2": -2.9565197175813718,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.690095
},
{
"step": 319,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 52.69554478958866,
"RMSE": 56.2770501442128,
"R2": -2.6433309475704183,
"Memory in Mb": 0.6947126388549805,
"Time in s": 1.870449
},
{
"step": 330,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 53.85316804407712,
"RMSE": 57.75044402630399,
"R2": -2.2832890424968197,
"Memory in Mb": 0.6947126388549805,
"Time in s": 2.06005
},
{
"step": 341,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 54.90678041411178,
"RMSE": 59.01114057562677,
"R2": -2.0697921090482247,
"Memory in Mb": 0.6947126388549805,
"Time in s": 2.258925
},
{
"step": 352,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 56.00533746556472,
"RMSE": 60.30224520856101,
"R2": -1.9140207825503284,
"Memory in Mb": 0.6947126388549805,
"Time in s": 2.467073
},
{
"step": 363,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 55.99599298772852,
"RMSE": 60.54917173074773,
"R2": -1.852879941931207,
"Memory in Mb": 0.6947126388549805,
"Time in s": 2.684461
},
{
"step": 374,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 56.87222492302705,
"RMSE": 61.81275171085535,
"R2": -1.7331917323651345,
"Memory in Mb": 0.6947126388549805,
"Time in s": 2.911073
},
{
"step": 385,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 58.41786698150333,
"RMSE": 63.95254893573906,
"R2": -1.588502821427925,
"Memory in Mb": 0.6947126388549805,
"Time in s": 3.146928
},
{
"step": 396,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 59.7033976124885,
"RMSE": 65.46926983257002,
"R2": -1.5293357430909813,
"Memory in Mb": 0.6947126388549805,
"Time in s": 3.392032
},
{
"step": 407,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 60.057805647389294,
"RMSE": 66.17359973042984,
"R2": -1.4019380007417157,
"Memory in Mb": 1.1097631454467771,
"Time in s": 3.672033
},
{
"step": 418,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 59.7070864579051,
"RMSE": 66.11592086962122,
"R2": -1.2507954049688483,
"Memory in Mb": 1.1127843856811523,
"Time in s": 3.965768
},
{
"step": 429,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 60.122823673891816,
"RMSE": 66.73609937588846,
"R2": -1.0378169857688957,
"Memory in Mb": 1.1158056259155271,
"Time in s": 4.272702
},
{
"step": 440,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 60.39504675635191,
"RMSE": 66.96100690444877,
"R2": -0.906365593827489,
"Memory in Mb": 1.1188268661499023,
"Time in s": 4.593074
},
{
"step": 451,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 60.27126048587789,
"RMSE": 66.93502892662679,
"R2": -0.8239085862185902,
"Memory in Mb": 1.120589256286621,
"Time in s": 4.926735
},
{
"step": 462,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 60.340686610373176,
"RMSE": 67.43825007380137,
"R2": -0.7390015352251049,
"Memory in Mb": 1.120589256286621,
"Time in s": 5.273856
},
{
"step": 473,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 61.40703262301831,
"RMSE": 69.11306667757516,
"R2": -0.6127592621572406,
"Memory in Mb": 1.120589256286621,
"Time in s": 5.634397
},
{
"step": 484,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 61.95796621360106,
"RMSE": 69.71422620021941,
"R2": -0.5510154280248158,
"Memory in Mb": 1.120589256286621,
"Time in s": 6.008344
},
{
"step": 495,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 62.59018166487368,
"RMSE": 70.55352405729404,
"R2": -0.4943708535906215,
"Memory in Mb": 1.120589256286621,
"Time in s": 6.395653
},
{
"step": 506,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 62.49664579133251,
"RMSE": 70.88193125644693,
"R2": -0.4644752452013045,
"Memory in Mb": 1.120589256286621,
"Time in s": 6.796304
},
{
"step": 517,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 63.25224079915844,
"RMSE": 71.92080214464903,
"R2": -0.4228062717918979,
"Memory in Mb": 1.120589256286621,
"Time in s": 7.21023
},
{
"step": 528,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 64.80783657170488,
"RMSE": 74.3681944005728,
"R2": -0.367764222300833,
"Memory in Mb": 1.120589256286621,
"Time in s": 7.637592
},
{
"step": 539,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 65.59959781369417,
"RMSE": 75.30113885843834,
"R2": -0.3443906138479853,
"Memory in Mb": 1.120589256286621,
"Time in s": 8.078512
},
{
"step": 550,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 65.79684627343133,
"RMSE": 76.01328745307667,
"R2": -0.3277190973108916,
"Memory in Mb": 1.120589256286621,
"Time in s": 8.532886
},
{
"step": 561,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 66.6512855136148,
"RMSE": 77.20436469287773,
"R2": -0.3097569166669509,
"Memory in Mb": 1.120589256286621,
"Time in s": 9.000807
},
{
"step": 572,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "ChickWeights",
"MAE": 68.11975592628174,
"RMSE": 79.56492566870935,
"R2": -0.2867456678376987,
"Memory in Mb": 1.120589256286621,
"Time in s": 9.482145
},
{
"step": 20,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 43.8732195,
"RMSE": 43.87807788634269,
"R2": -4514.954899312423,
"Memory in Mb": 0.0199413299560546,
"Time in s": 0.002755
},
{
"step": 40,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 42.4932955,
"RMSE": 42.52255283421693,
"R2": -725.9491167623446,
"Memory in Mb": 0.0317363739013671,
"Time in s": 0.008058
},
{
"step": 60,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 42.2167785,
"RMSE": 42.2386240157387,
"R2": -966.0073736019044,
"Memory in Mb": 0.0438976287841796,
"Time in s": 0.015549
},
{
"step": 80,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 41.975705625,
"RMSE": 41.99760868559829,
"R2": -957.9655948743646,
"Memory in Mb": 0.0562419891357421,
"Time in s": 0.025294
},
{
"step": 100,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 41.37550450000001,
"RMSE": 41.410913785433536,
"R2": -583.9966399141301,
"Memory in Mb": 0.5381031036376953,
"Time in s": 0.041246
},
{
"step": 120,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 40.936110000000006,
"RMSE": 40.97829382197767,
"R2": -484.9611418859003,
"Memory in Mb": 0.5386066436767578,
"Time in s": 0.070023
},
{
"step": 140,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 40.6885472857143,
"RMSE": 40.72961738075088,
"R2": -495.1050461477588,
"Memory in Mb": 0.5391101837158203,
"Time in s": 0.110787
},
{
"step": 160,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 40.35105437500001,
"RMSE": 40.39801158334292,
"R2": -429.4078677932073,
"Memory in Mb": 0.5393619537353516,
"Time in s": 0.163463
},
{
"step": 180,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 40.00981655555555,
"RMSE": 40.06373388340122,
"R2": -370.7794659133543,
"Memory in Mb": 0.5396137237548828,
"Time in s": 0.227995
},
{
"step": 200,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 39.80633095,
"RMSE": 39.860362966711,
"R2": -368.1089073295326,
"Memory in Mb": 0.5077581405639648,
"Time in s": 0.320041
},
{
"step": 220,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 36.497516001377406,
"RMSE": 38.01945344470104,
"R2": -361.2329206514933,
"Memory in Mb": 1.3602590560913086,
"Time in s": 0.441408
},
{
"step": 240,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 33.64243104419191,
"RMSE": 36.40668421494773,
"R2": -333.65237138497804,
"Memory in Mb": 1.360762596130371,
"Time in s": 0.581306
},
{
"step": 260,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 31.222114965034955,
"RMSE": 34.98371838354962,
"R2": -312.16748668977897,
"Memory in Mb": 1.3610143661499023,
"Time in s": 0.739627
},
{
"step": 280,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 29.18205946861472,
"RMSE": 33.71869814960704,
"R2": -303.5986275675674,
"Memory in Mb": 1.361769676208496,
"Time in s": 0.915776
},
{
"step": 300,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 27.34275770505051,
"RMSE": 32.57805191350732,
"R2": -278.63174197976707,
"Memory in Mb": 1.3620214462280271,
"Time in s": 1.109879
},
{
"step": 320,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 25.81388747443183,
"RMSE": 31.5521424826706,
"R2": -274.2849072221064,
"Memory in Mb": 1.3630285263061523,
"Time in s": 1.321838
},
{
"step": 340,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 24.51835124153299,
"RMSE": 30.62414457186519,
"R2": -273.0482727941538,
"Memory in Mb": 1.3640356063842771,
"Time in s": 1.551694
},
{
"step": 360,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 23.451930423400693,
"RMSE": 29.78792492645533,
"R2": -260.4155562259403,
"Memory in Mb": 1.3660497665405271,
"Time in s": 1.799643
},
{
"step": 380,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 22.46844053349284,
"RMSE": 29.014219480552867,
"R2": -255.5915105297988,
"Memory in Mb": 1.3665533065795898,
"Time in s": 2.065559
},
{
"step": 400,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 21.59490700757577,
"RMSE": 28.301677882839343,
"R2": -250.0434007116766,
"Memory in Mb": 0.510127067565918,
"Time in s": 2.355987
},
{
"step": 420,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 20.62268781294523,
"RMSE": 27.62086591367872,
"R2": -246.0239415518119,
"Memory in Mb": 1.3623762130737305,
"Time in s": 2.674434
},
{
"step": 440,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 19.786863931462925,
"RMSE": 26.990398924900397,
"R2": -230.60756767519212,
"Memory in Mb": 1.3643903732299805,
"Time in s": 3.010878
},
{
"step": 460,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 19.05732899619648,
"RMSE": 26.404670160589287,
"R2": -209.2038511633616,
"Memory in Mb": 1.3666563034057615,
"Time in s": 3.365293
},
{
"step": 480,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 18.376512097202227,
"RMSE": 25.854792215140314,
"R2": -195.90337768575387,
"Memory in Mb": 1.3701810836791992,
"Time in s": 3.737716
},
{
"step": 500,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 17.755044410127518,
"RMSE": 25.338820973360427,
"R2": -184.1550753065148,
"Memory in Mb": 1.3716917037963867,
"Time in s": 4.128280999999999
},
{
"step": 520,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 17.16611419898163,
"RMSE": 24.851444862058347,
"R2": -177.4118263333629,
"Memory in Mb": 1.3737058639526367,
"Time in s": 4.537221
},
{
"step": 540,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 16.628565596068775,
"RMSE": 24.392285078947275,
"R2": -170.25012213753183,
"Memory in Mb": 1.3747129440307615,
"Time in s": 4.964375
},
{
"step": 560,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 16.091244232649693,
"RMSE": 23.955027361350904,
"R2": -168.10096043791202,
"Memory in Mb": 1.3752164840698242,
"Time in s": 5.410107999999999
},
{
"step": 580,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 15.590768135673304,
"RMSE": 23.54051091957351,
"R2": -166.33817208986073,
"Memory in Mb": 1.3764753341674805,
"Time in s": 5.874175999999999
},
{
"step": 600,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 15.168708628495342,
"RMSE": 23.15108754841241,
"R2": -159.05714501634571,
"Memory in Mb": 0.5124959945678711,
"Time in s": 6.365194
},
{
"step": 620,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 14.742446374247312,
"RMSE": 22.77953961802373,
"R2": -151.59887848495535,
"Memory in Mb": 3.064208030700684,
"Time in s": 6.921285
},
{
"step": 640,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 14.319364852585176,
"RMSE": 22.42187566882095,
"R2": -144.08105420081068,
"Memory in Mb": 3.0679845809936523,
"Time in s": 7.51197
},
{
"step": 660,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 13.916412195872256,
"RMSE": 22.080274918425697,
"R2": -138.68241285181185,
"Memory in Mb": 3.0712575912475586,
"Time in s": 8.136981
},
{
"step": 680,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 13.515604789075644,
"RMSE": 21.753254558457893,
"R2": -136.71797028279042,
"Memory in Mb": 3.074782371520996,
"Time in s": 8.796442
},
{
"step": 700,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 13.16391092204058,
"RMSE": 21.44141764506316,
"R2": -136.3120101768532,
"Memory in Mb": 3.0773000717163086,
"Time in s": 9.490636
},
{
"step": 720,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 12.828283113852926,
"RMSE": 21.142484202016185,
"R2": -135.44313416922282,
"Memory in Mb": 3.078558921813965,
"Time in s": 10.219341
},
{
"step": 740,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 12.50446646701278,
"RMSE": 20.855361315179096,
"R2": -131.6825380828392,
"Memory in Mb": 3.0800695419311523,
"Time in s": 10.982324
},
{
"step": 760,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 12.187542748969031,
"RMSE": 20.57929219886472,
"R2": -129.592708960364,
"Memory in Mb": 3.0813283920288086,
"Time in s": 11.779656
},
{
"step": 780,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 11.899403743710543,
"RMSE": 20.31464229706916,
"R2": -126.82553676745258,
"Memory in Mb": 3.08359432220459,
"Time in s": 12.611571
},
{
"step": 800,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 11.634366305883283,
"RMSE": 20.06137952581079,
"R2": -124.7856004590591,
"Memory in Mb": 3.084601402282715,
"Time in s": 13.493909000000002
},
{
"step": 820,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 11.363415331478278,
"RMSE": 19.815492221289517,
"R2": -123.0687724200615,
"Memory in Mb": 3.08560848236084,
"Time in s": 14.412321000000002
},
{
"step": 840,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 11.106640469158773,
"RMSE": 19.57848368678801,
"R2": -121.2430978899656,
"Memory in Mb": 3.086615562438965,
"Time in s": 15.363464000000002
},
{
"step": 860,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 10.873909665943762,
"RMSE": 19.35022618912736,
"R2": -118.20364312373844,
"Memory in Mb": 3.087119102478028,
"Time in s": 16.347229000000002
},
{
"step": 880,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 10.65545006969969,
"RMSE": 19.130035299019603,
"R2": -114.92727947355436,
"Memory in Mb": 3.0873708724975586,
"Time in s": 17.36361
},
{
"step": 900,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 10.439309697188907,
"RMSE": 18.916827199314994,
"R2": -112.83532852765144,
"Memory in Mb": 3.08762264251709,
"Time in s": 18.412326
},
{
"step": 920,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 10.21789524284777,
"RMSE": 18.710158789526105,
"R2": -112.19133803320568,
"Memory in Mb": 3.087874412536621,
"Time in s": 19.493438
},
{
"step": 940,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 10.012578535125469,
"RMSE": 18.510293787577226,
"R2": -110.72583714230213,
"Memory in Mb": 3.077906608581543,
"Time in s": 20.736809
},
{
"step": 960,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 9.811853150109153,
"RMSE": 18.316579311485903,
"R2": -109.54344305213982,
"Memory in Mb": 3.0804243087768555,
"Time in s": 22.013587
},
{
"step": 980,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 9.61909067795052,
"RMSE": 18.12881604876013,
"R2": -109.39183420714345,
"Memory in Mb": 3.080927848815918,
"Time in s": 23.322572
},
{
"step": 1000,
"track": "Regression",
"model": "Stochastic Gradient Tree",
"dataset": "TrumpApproval",
"MAE": 9.438738635632271,
"RMSE": 17.946847607318464,
"R2": -109.00797869183796,
"Memory in Mb": 3.082438468933105,
"Time in s": 24.663779
},
{
"step": 11,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 7.837563210503649,
"RMSE": 16.830121687224917,
"R2": -363.61289911513376,
"Memory in Mb": 0.1506233215332031,
"Time in s": 0.018991
},
{
"step": 22,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 4.3557641651310055,
"RMSE": 11.925612892987612,
"R2": -149.62275175212707,
"Memory in Mb": 0.1761512756347656,
"Time in s": 0.051966
},
{
"step": 33,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 3.371112580593177,
"RMSE": 9.780386843070694,
"R2": -65.43453306461763,
"Memory in Mb": 0.2142868041992187,
"Time in s": 0.1028409999999999
},
{
"step": 44,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 2.695097509519297,
"RMSE": 8.482165721989492,
"R2": -55.64483692929184,
"Memory in Mb": 0.2312774658203125,
"Time in s": 0.1714339999999999
},
{
"step": 55,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 2.750371500828058,
"RMSE": 7.825470627419848,
"R2": -10.954370249441634,
"Memory in Mb": 0.2869682312011719,
"Time in s": 0.2559499999999999
},
{
"step": 66,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 2.874973614360605,
"RMSE": 7.312672972792191,
"R2": -3.4999113348114523,
"Memory in Mb": 0.3332901000976562,
"Time in s": 0.3603679999999999
},
{
"step": 77,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 3.049190601733834,
"RMSE": 7.064366487423796,
"R2": -1.814660484448317,
"Memory in Mb": 0.3119354248046875,
"Time in s": 0.4921819999999999
},
{
"step": 88,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 2.9760015514160614,
"RMSE": 6.690266116634344,
"R2": -1.2888345310585096,
"Memory in Mb": 0.3463325500488281,
"Time in s": 0.6436869999999999
},
{
"step": 99,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 3.4458208345296213,
"RMSE": 6.801756467406213,
"R2": -0.9786716534372656,
"Memory in Mb": 0.3914375305175781,
"Time in s": 0.8148389999999999
},
{
"step": 110,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 3.8036130411377513,
"RMSE": 6.901055458118455,
"R2": -0.4223797783359673,
"Memory in Mb": 0.4219093322753906,
"Time in s": 1.008913
},
{
"step": 121,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 4.044286594485068,
"RMSE": 6.961321070951229,
"R2": -0.1146764842737158,
"Memory in Mb": 0.4422340393066406,
"Time in s": 1.227422
},
{
"step": 132,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 4.278051046290026,
"RMSE": 6.992189163715883,
"R2": 0.0808809347253165,
"Memory in Mb": 0.4695549011230469,
"Time in s": 1.467051
},
{
"step": 143,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 4.514698307868387,
"RMSE": 7.09845673012605,
"R2": 0.232743181062298,
"Memory in Mb": 0.5039863586425781,
"Time in s": 1.72858
},
{
"step": 154,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 4.711682816733759,
"RMSE": 7.225211881769595,
"R2": 0.3244420464758215,
"Memory in Mb": 0.5465545654296875,
"Time in s": 2.00923
},
{
"step": 165,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 5.098965674365188,
"RMSE": 7.74448667501397,
"R2": 0.3760752970367085,
"Memory in Mb": 0.5543212890625,
"Time in s": 2.317031
},
{
"step": 176,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 5.613573109580669,
"RMSE": 8.405070008975855,
"R2": 0.4074460804745814,
"Memory in Mb": 0.5778732299804688,
"Time in s": 2.650775
},
{
"step": 187,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 6.0300184245211925,
"RMSE": 8.816070592615688,
"R2": 0.4662285490406689,
"Memory in Mb": 0.597381591796875,
"Time in s": 3.008386
},
{
"step": 198,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 6.135166503700917,
"RMSE": 8.873071763991604,
"R2": 0.5699028278126741,
"Memory in Mb": 0.6156463623046875,
"Time in s": 3.389767
},
{
"step": 209,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 6.663870316688535,
"RMSE": 9.680163486851024,
"R2": 0.5780063435312484,
"Memory in Mb": 0.6372909545898438,
"Time in s": 3.797698
},
{
"step": 220,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 7.114976257039628,
"RMSE": 10.70304519196575,
"R2": 0.548340525531499,
"Memory in Mb": 0.6516532897949219,
"Time in s": 4.233731
},
{
"step": 231,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 7.558935022860611,
"RMSE": 11.205896813348822,
"R2": 0.5765126454701623,
"Memory in Mb": 0.6456108093261719,
"Time in s": 4.696369
},
{
"step": 242,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 7.8784966144348445,
"RMSE": 11.546829616877767,
"R2": 0.6381907286214681,
"Memory in Mb": 0.6543197631835938,
"Time in s": 5.184542
},
{
"step": 253,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 8.045465222989945,
"RMSE": 11.7730800696534,
"R2": 0.6733287963504477,
"Memory in Mb": 0.6542396545410156,
"Time in s": 5.698149999999999
},
{
"step": 264,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 8.55861765945315,
"RMSE": 12.698578392308455,
"R2": 0.6527621165047097,
"Memory in Mb": 0.7007179260253906,
"Time in s": 6.239901999999999
},
{
"step": 275,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 9.012932654808608,
"RMSE": 13.883768164483952,
"R2": 0.6347528903285174,
"Memory in Mb": 0.7182159423828125,
"Time in s": 6.810226999999999
},
{
"step": 286,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 9.46045520422096,
"RMSE": 14.421722772543973,
"R2": 0.6586625054492083,
"Memory in Mb": 0.7397651672363281,
"Time in s": 7.406784999999999
},
{
"step": 297,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 9.467084537445258,
"RMSE": 14.393153360282469,
"R2": 0.7051330126585751,
"Memory in Mb": 0.6962127685546875,
"Time in s": 8.032812
},
{
"step": 308,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 9.993822911601686,
"RMSE": 15.306673373378164,
"R2": 0.7029922374440833,
"Memory in Mb": 0.712249755859375,
"Time in s": 8.684709
},
{
"step": 319,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 10.906399564516825,
"RMSE": 17.709412566907307,
"R2": 0.6392184800849823,
"Memory in Mb": 0.7230567932128906,
"Time in s": 9.367603
},
{
"step": 330,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 11.354718196032138,
"RMSE": 18.25739128586918,
"R2": 0.6718473555535345,
"Memory in Mb": 0.748199462890625,
"Time in s": 10.07931
},
{
"step": 341,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 11.709200775641314,
"RMSE": 18.709755653596343,
"R2": 0.691413317744465,
"Memory in Mb": 0.7508468627929688,
"Time in s": 10.818764
},
{
"step": 352,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 12.007404346564588,
"RMSE": 19.02446579939404,
"R2": 0.7099648583835785,
"Memory in Mb": 0.7794418334960938,
"Time in s": 11.583692
},
{
"step": 363,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 12.612646669962947,
"RMSE": 20.078004824306745,
"R2": 0.6863045708062432,
"Memory in Mb": 0.8219375610351562,
"Time in s": 12.374611
},
{
"step": 374,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 13.305874945245664,
"RMSE": 21.69198202373745,
"R2": 0.6634013148524545,
"Memory in Mb": 0.8368568420410156,
"Time in s": 13.19172
},
{
"step": 385,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 13.874152914620147,
"RMSE": 22.398641632517744,
"R2": 0.6824761966895349,
"Memory in Mb": 0.8399162292480469,
"Time in s": 14.039444
},
{
"step": 396,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 14.02164789427361,
"RMSE": 22.45496751107478,
"R2": 0.7024524705388633,
"Memory in Mb": 0.8451423645019531,
"Time in s": 14.916422
},
{
"step": 407,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 14.881080524519056,
"RMSE": 23.990711305579165,
"R2": 0.684297135752792,
"Memory in Mb": 0.844085693359375,
"Time in s": 15.821424
},
{
"step": 418,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 15.672731015633325,
"RMSE": 25.84901428202966,
"R2": 0.6559576619146927,
"Memory in Mb": 0.8621559143066406,
"Time in s": 16.75642
},
{
"step": 429,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 16.52730145447373,
"RMSE": 27.03527355015745,
"R2": 0.6655701177301542,
"Memory in Mb": 0.8826904296875,
"Time in s": 17.718062999999997
},
{
"step": 440,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 16.835543678126854,
"RMSE": 27.29532071757395,
"R2": 0.6832339396752392,
"Memory in Mb": 0.8854255676269531,
"Time in s": 18.709096
},
{
"step": 451,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 17.2847401584601,
"RMSE": 27.83347178305896,
"R2": 0.6846223453976918,
"Memory in Mb": 0.9156723022460938,
"Time in s": 19.725565
},
{
"step": 462,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 18.263556988874104,
"RMSE": 29.983264015814683,
"R2": 0.6562480279042127,
"Memory in Mb": 0.9476966857910156,
"Time in s": 20.769031
},
{
"step": 473,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 19.168820167599023,
"RMSE": 31.233753579350584,
"R2": 0.6706197338145063,
"Memory in Mb": 0.9631462097167968,
"Time in s": 21.841163
},
{
"step": 484,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 19.66691155441429,
"RMSE": 31.66292403296529,
"R2": 0.6800549958221269,
"Memory in Mb": 0.9797592163085938,
"Time in s": 22.942597
},
{
"step": 495,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 20.1980005296915,
"RMSE": 32.326142080110245,
"R2": 0.6862897411402615,
"Memory in Mb": 1.003559112548828,
"Time in s": 24.073219
},
{
"step": 506,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 21.038101965066165,
"RMSE": 33.861783151779306,
"R2": 0.6657814123530009,
"Memory in Mb": 1.0402488708496094,
"Time in s": 25.232436
},
{
"step": 517,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 21.79336863548733,
"RMSE": 34.905834748448235,
"R2": 0.6648549707242759,
"Memory in Mb": 1.059162139892578,
"Time in s": 26.421057
},
{
"step": 528,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 22.71415913579816,
"RMSE": 36.0778798798642,
"R2": 0.6781016272298894,
"Memory in Mb": 1.080280303955078,
"Time in s": 27.640294
},
{
"step": 539,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 22.973012146363907,
"RMSE": 36.13494365478664,
"R2": 0.690416970144236,
"Memory in Mb": 1.1105842590332031,
"Time in s": 28.88878
},
{
"step": 550,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 23.822482702164027,
"RMSE": 37.524990725820025,
"R2": 0.6764299185798421,
"Memory in Mb": 1.15643310546875,
"Time in s": 30.16877
},
{
"step": 561,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 24.754282528765707,
"RMSE": 38.80763200620001,
"R2": 0.669066082535116,
"Memory in Mb": 1.1719589233398438,
"Time in s": 31.481567
},
{
"step": 572,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "ChickWeights",
"MAE": 25.964764492717645,
"RMSE": 40.6034258569803,
"R2": 0.6648997528039327,
"Memory in Mb": 1.186126708984375,
"Time in s": 32.828648
},
{
"step": 20,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 4.656631863584941,
"RMSE": 13.301513571178564,
"R2": -414.0080590272913,
"Memory in Mb": 0.20159912109375,
"Time in s": 0.060655
},
{
"step": 40,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 3.3092233454389866,
"RMSE": 9.514642226769206,
"R2": -35.395716979334736,
"Memory in Mb": 0.2895278930664062,
"Time in s": 0.186458
},
{
"step": 60,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 2.370245548222252,
"RMSE": 7.779742234417967,
"R2": -31.80504797847069,
"Memory in Mb": 0.3228263854980469,
"Time in s": 0.354007
},
{
"step": 80,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 2.0011825545667588,
"RMSE": 6.767036502792006,
"R2": -23.897224712465302,
"Memory in Mb": 0.3692893981933594,
"Time in s": 0.55542
},
{
"step": 100,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 2.056871489932448,
"RMSE": 6.139015712379544,
"R2": -11.856454989718417,
"Memory in Mb": 0.4076881408691406,
"Time in s": 0.79515
},
{
"step": 120,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 2.003092266983848,
"RMSE": 5.651046465030358,
"R2": -8.241693395555247,
"Memory in Mb": 0.4241790771484375,
"Time in s": 1.072178
},
{
"step": 140,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.8854667406427696,
"RMSE": 5.2532308662388045,
"R2": -7.252888139218157,
"Memory in Mb": 0.4439773559570312,
"Time in s": 1.385482
},
{
"step": 160,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.9340845560700957,
"RMSE": 4.984838031470717,
"R2": -5.553334350331147,
"Memory in Mb": 0.4557876586914062,
"Time in s": 1.738613
},
{
"step": 180,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.9596878280460808,
"RMSE": 4.757627458420989,
"R2": -4.242801539132487,
"Memory in Mb": 0.4726028442382812,
"Time in s": 2.128929
},
{
"step": 200,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.9000266951648128,
"RMSE": 4.53846274922039,
"R2": -3.785084131964374,
"Memory in Mb": 0.5018348693847656,
"Time in s": 2.555084
},
{
"step": 220,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.7756062902244436,
"RMSE": 4.331882031903988,
"R2": -3.702506681895046,
"Memory in Mb": 0.5390548706054688,
"Time in s": 3.014926
},
{
"step": 240,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.722064335127714,
"RMSE": 4.161337926832492,
"R2": -3.3721758647478204,
"Memory in Mb": 0.5583267211914062,
"Time in s": 3.510014
},
{
"step": 260,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.668741133448935,
"RMSE": 4.009095884933904,
"R2": -3.112800247055813,
"Memory in Mb": 0.5867843627929688,
"Time in s": 4.039729
},
{
"step": 280,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.596023168515899,
"RMSE": 3.86837254754146,
"R2": -3.0090634555073343,
"Memory in Mb": 0.6034698486328125,
"Time in s": 4.6068750000000005
},
{
"step": 300,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.5862781822088614,
"RMSE": 3.757725401796155,
"R2": -2.72037165832895,
"Memory in Mb": 0.6344451904296875,
"Time in s": 5.213001
},
{
"step": 320,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.5269819355711358,
"RMSE": 3.644015209511257,
"R2": -2.67185104068617,
"Memory in Mb": 0.6524238586425781,
"Time in s": 5.854158
},
{
"step": 340,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.4570659608871932,
"RMSE": 3.537119081966105,
"R2": -2.6559352799702967,
"Memory in Mb": 0.6771697998046875,
"Time in s": 6.534176
},
{
"step": 360,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.4064005847783465,
"RMSE": 3.441784227878547,
"R2": -2.4899419787597266,
"Memory in Mb": 0.7120590209960938,
"Time in s": 7.253771
},
{
"step": 380,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.353481677960258,
"RMSE": 3.352627624678765,
"R2": -2.426029812278527,
"Memory in Mb": 0.7612266540527344,
"Time in s": 8.012458
},
{
"step": 400,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.3254238940946812,
"RMSE": 3.27422063813923,
"R2": -2.360008106665105,
"Memory in Mb": 0.7831077575683594,
"Time in s": 8.809453000000001
},
{
"step": 420,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.2822507927277378,
"RMSE": 3.197239276537114,
"R2": -2.309899038967682,
"Memory in Mb": 0.8153495788574219,
"Time in s": 9.645719
},
{
"step": 440,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.2469389910195894,
"RMSE": 3.127027882921648,
"R2": -2.108834809107039,
"Memory in Mb": 0.8549957275390625,
"Time in s": 10.520540000000002
},
{
"step": 460,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.209007072666545,
"RMSE": 3.060196802253249,
"R2": -1.8234356170996369,
"Memory in Mb": 0.8641319274902344,
"Time in s": 11.437965000000002
},
{
"step": 480,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.173565091899577,
"RMSE": 2.996986036098964,
"R2": -1.6456994146583188,
"Memory in Mb": 0.9048995971679688,
"Time in s": 12.395296000000002
},
{
"step": 500,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.1545102154576106,
"RMSE": 2.9412312685847275,
"R2": -1.494716293761022,
"Memory in Mb": 0.9429206848144532,
"Time in s": 13.397268000000002
},
{
"step": 520,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.1235341152888954,
"RMSE": 2.885679937630878,
"R2": -1.4055626483775598,
"Memory in Mb": 0.9187583923339844,
"Time in s": 14.455292000000002
},
{
"step": 540,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.0931325909773704,
"RMSE": 2.8325152336083046,
"R2": -1.3092471918321815,
"Memory in Mb": 0.9785118103027344,
"Time in s": 15.562633000000002
},
{
"step": 560,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.080423433010604,
"RMSE": 2.7861157835692825,
"R2": -1.2874470666919131,
"Memory in Mb": 0.8416099548339844,
"Time in s": 16.721025
},
{
"step": 580,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.0538460644054608,
"RMSE": 2.73873459117484,
"R2": -1.2649736085810763,
"Memory in Mb": 0.9269638061523438,
"Time in s": 17.931443
},
{
"step": 600,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.037762850657022,
"RMSE": 2.6954140775252133,
"R2": -1.1696179031883165,
"Memory in Mb": 1.0152244567871094,
"Time in s": 19.191903
},
{
"step": 620,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.022747434499167,
"RMSE": 2.654976815796094,
"R2": -1.0729218181826925,
"Memory in Mb": 0.968769073486328,
"Time in s": 20.501534
},
{
"step": 640,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 1.006861222675929,
"RMSE": 2.615186194972241,
"R2": -0.9736586966592728,
"Memory in Mb": 0.803070068359375,
"Time in s": 21.860299
},
{
"step": 660,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.9869414277387362,
"RMSE": 2.5762284524749504,
"R2": -0.9015227260176624,
"Memory in Mb": 0.7759437561035156,
"Time in s": 23.260671
},
{
"step": 680,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.966244541930286,
"RMSE": 2.538677410892474,
"R2": -0.8756731719459285,
"Memory in Mb": 0.8428535461425781,
"Time in s": 24.702724
},
{
"step": 700,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.9583039577617944,
"RMSE": 2.5060806369029174,
"R2": -0.8758219540617476,
"Memory in Mb": 0.9465827941894532,
"Time in s": 26.183847
},
{
"step": 720,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.9436352676783604,
"RMSE": 2.472672874668102,
"R2": -0.8662636043278715,
"Memory in Mb": 1.0379486083984375,
"Time in s": 27.712492
},
{
"step": 740,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.9279533445219876,
"RMSE": 2.44025252932111,
"R2": -0.816552178803118,
"Memory in Mb": 1.1120071411132812,
"Time in s": 29.286906
},
{
"step": 760,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.9160723193407864,
"RMSE": 2.4102496967776017,
"R2": -0.7913569678512289,
"Memory in Mb": 1.17376708984375,
"Time in s": 30.91286
},
{
"step": 780,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8969957702252379,
"RMSE": 2.379401465215729,
"R2": -0.753616871824967,
"Memory in Mb": 1.2616004943847656,
"Time in s": 32.587144
},
{
"step": 800,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8879951793456313,
"RMSE": 2.351379467833174,
"R2": -0.7280439441517783,
"Memory in Mb": 1.355243682861328,
"Time in s": 34.314383
},
{
"step": 820,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8778121160020841,
"RMSE": 2.323761508818731,
"R2": -0.7062232791684944,
"Memory in Mb": 1.4321250915527344,
"Time in s": 36.09551
},
{
"step": 840,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8674818777939237,
"RMSE": 2.297554956673723,
"R2": -0.683441607427212,
"Memory in Mb": 1.4874954223632812,
"Time in s": 37.948423
},
{
"step": 860,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8596582290799093,
"RMSE": 2.2724190258224723,
"R2": -0.6439714465644337,
"Memory in Mb": 1.5595359802246094,
"Time in s": 39.857894
},
{
"step": 880,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8554226716886886,
"RMSE": 2.248810009475745,
"R2": -0.601989379910626,
"Memory in Mb": 1.6191024780273438,
"Time in s": 41.823765
},
{
"step": 900,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8440517106498798,
"RMSE": 2.2244180426447486,
"R2": -0.5740310312005918,
"Memory in Mb": 1.1261253356933594,
"Time in s": 43.8642
},
{
"step": 920,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8347159483348575,
"RMSE": 2.201058546919984,
"R2": -0.5664676720057789,
"Memory in Mb": 1.1678504943847656,
"Time in s": 45.946931000000006
},
{
"step": 940,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8262269751007542,
"RMSE": 2.1790511985851078,
"R2": -0.5483240613297584,
"Memory in Mb": 1.119964599609375,
"Time in s": 48.07255500000001
},
{
"step": 960,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.8159800926650994,
"RMSE": 2.1571455676024542,
"R2": -0.5332153251602936,
"Memory in Mb": 1.1733894348144531,
"Time in s": 50.238479000000005
},
{
"step": 980,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.80675324923832,
"RMSE": 2.1360469188887925,
"R2": -0.5325676025464574,
"Memory in Mb": 1.2283477783203125,
"Time in s": 52.4464
},
{
"step": 1000,
"track": "Regression",
"model": "Adaptive Random Forest",
"dataset": "TrumpApproval",
"MAE": 0.801132918984696,
"RMSE": 2.116027645482028,
"R2": -0.5292923269414216,
"Memory in Mb": 1.2836189270019531,
"Time in s": 54.694244000000005
},
{
"step": 11,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 4.664574314574316,
"RMSE": 12.7079745317607,
"R2": -206.87879383707747,
"Memory in Mb": 0.0196142196655273,
"Time in s": 0.002799
},
{
"step": 22,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 2.767694704637076,
"RMSE": 9.018587183866767,
"R2": -85.14025986830408,
"Memory in Mb": 0.0211782455444335,
"Time in s": 0.009348
},
{
"step": 33,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 2.3093367298127023,
"RMSE": 7.420500566500976,
"R2": -37.24267181629702,
"Memory in Mb": 0.0263471603393554,
"Time in s": 0.018276
},
{
"step": 44,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 1.892363968348808,
"RMSE": 6.441521936619904,
"R2": -31.668094594906044,
"Memory in Mb": 0.0274343490600585,
"Time in s": 0.0297909999999999
},
{
"step": 55,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 2.1129412159858934,
"RMSE": 6.114058653243701,
"R2": -6.297346571779499,
"Memory in Mb": 0.0340337753295898,
"Time in s": 0.044022
},
{
"step": 66,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 2.832849782567835,
"RMSE": 6.236602142425367,
"R2": -2.2730130120415795,
"Memory in Mb": 0.043257713317871,
"Time in s": 0.061336
},
{
"step": 77,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 3.4069290990236856,
"RMSE": 6.402381882180361,
"R2": -1.3118663438824,
"Memory in Mb": 0.0494871139526367,
"Time in s": 0.082289
},
{
"step": 88,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 3.650377971160808,
"RMSE": 6.321189272940957,
"R2": -1.043267371916866,
"Memory in Mb": 0.0551328659057617,
"Time in s": 0.107232
},
{
"step": 99,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 4.035631404360372,
"RMSE": 6.4483291916176695,
"R2": -0.7783857772357967,
"Memory in Mb": 0.0562467575073242,
"Time in s": 0.136317
},
{
"step": 110,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 4.693189868957898,
"RMSE": 7.0697740144659305,
"R2": -0.4927792786841307,
"Memory in Mb": 0.0576238632202148,
"Time in s": 0.169599
},
{
"step": 121,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.274396860168236,
"RMSE": 7.6542276724395,
"R2": -0.3476225254437259,
"Memory in Mb": 0.0577573776245117,
"Time in s": 0.206842
},
{
"step": 132,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.247611065864998,
"RMSE": 7.56430675955835,
"R2": -0.0756815066101803,
"Memory in Mb": 0.0578107833862304,
"Time in s": 0.2481519999999999
},
{
"step": 143,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.084413296044263,
"RMSE": 7.343803904848652,
"R2": 0.1787885014844915,
"Memory in Mb": 0.058394432067871,
"Time in s": 0.2937619999999999
},
{
"step": 154,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 4.973008915037768,
"RMSE": 7.173430375731751,
"R2": 0.3340904988080935,
"Memory in Mb": 0.0584478378295898,
"Time in s": 0.343499
},
{
"step": 165,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.201973475639973,
"RMSE": 7.389818367745889,
"R2": 0.4319135436678196,
"Memory in Mb": 0.0584478378295898,
"Time in s": 0.397279
},
{
"step": 176,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.377897753885034,
"RMSE": 7.538080975572278,
"R2": 0.5233859928595415,
"Memory in Mb": 0.0590581893920898,
"Time in s": 0.455134
},
{
"step": 187,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.414777515271245,
"RMSE": 7.541781669769663,
"R2": 0.6093812059493195,
"Memory in Mb": 0.0591115951538085,
"Time in s": 0.517245
},
{
"step": 198,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.40059238519783,
"RMSE": 7.511878220104288,
"R2": 0.6917410630009373,
"Memory in Mb": 0.0590581893920898,
"Time in s": 0.583523
},
{
"step": 209,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 5.933708937482518,
"RMSE": 9.717098931216649,
"R2": 0.5747798982216288,
"Memory in Mb": 0.0252752304077148,
"Time in s": 0.662886
},
{
"step": 220,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 6.498767742677896,
"RMSE": 10.515698120348512,
"R2": 0.5640139167754625,
"Memory in Mb": 0.0314245223999023,
"Time in s": 0.744596
},
{
"step": 231,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 6.70504504336628,
"RMSE": 10.67374680573752,
"R2": 0.6157790851383267,
"Memory in Mb": 0.0365400314331054,
"Time in s": 0.828906
},
{
"step": 242,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 7.118759598962231,
"RMSE": 11.248237924166032,
"R2": 0.6566609789141779,
"Memory in Mb": 0.0410718917846679,
"Time in s": 0.916125
},
{
"step": 253,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 7.339750662382254,
"RMSE": 11.39871112384624,
"R2": 0.6937739359440155,
"Memory in Mb": 0.0445966720581054,
"Time in s": 1.006337
},
{
"step": 264,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 7.866457552558359,
"RMSE": 12.301057885719082,
"R2": 0.6741619364384577,
"Memory in Mb": 0.0447034835815429,
"Time in s": 1.099545
},
{
"step": 275,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 8.421243223038738,
"RMSE": 13.285884557144795,
"R2": 0.6655331879845522,
"Memory in Mb": 0.0447034835815429,
"Time in s": 1.19574
},
{
"step": 286,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 8.956033363560122,
"RMSE": 14.109625220244896,
"R2": 0.6732762786849746,
"Memory in Mb": 0.0452070236206054,
"Time in s": 1.295357
},
{
"step": 297,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 9.573413802719209,
"RMSE": 14.887232530340055,
"R2": 0.6845415314559343,
"Memory in Mb": 0.0452337265014648,
"Time in s": 1.398184
},
{
"step": 308,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 10.140823162094344,
"RMSE": 15.798657858475249,
"R2": 0.6835926538539661,
"Memory in Mb": 0.0452604293823242,
"Time in s": 1.504001
},
{
"step": 319,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 11.05646041165176,
"RMSE": 17.826108509419473,
"R2": 0.6344480842540857,
"Memory in Mb": 0.0452604293823242,
"Time in s": 1.6128270000000002
},
{
"step": 330,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 11.706749123156325,
"RMSE": 18.647901518188576,
"R2": 0.6576594092850414,
"Memory in Mb": 0.0452871322631835,
"Time in s": 1.7247210000000002
},
{
"step": 341,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 11.849547188265053,
"RMSE": 18.683751607733637,
"R2": 0.6922705096711406,
"Memory in Mb": 0.0452871322631835,
"Time in s": 1.839831
},
{
"step": 352,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 11.96088648820193,
"RMSE": 18.74329807265456,
"R2": 0.7184745225672177,
"Memory in Mb": 0.0452871322631835,
"Time in s": 1.958081
},
{
"step": 363,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 12.783089048199372,
"RMSE": 19.95838853158221,
"R2": 0.6900311672733117,
"Memory in Mb": 0.0453138351440429,
"Time in s": 2.0793790000000003
},
{
"step": 374,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 13.27307991721093,
"RMSE": 20.988857849066505,
"R2": 0.6848686892374445,
"Memory in Mb": 0.0453405380249023,
"Time in s": 2.203704
},
{
"step": 385,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 13.623649100869688,
"RMSE": 21.545378780740656,
"R2": 0.7062071700264252,
"Memory in Mb": 0.0453405380249023,
"Time in s": 2.331151
},
{
"step": 396,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 13.714864044781413,
"RMSE": 21.4916185882578,
"R2": 0.7274352207736796,
"Memory in Mb": 0.0453405380249023,
"Time in s": 2.4617500000000003
},
{
"step": 407,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 14.57407318940339,
"RMSE": 22.90334645043852,
"R2": 0.712266679293069,
"Memory in Mb": 0.0456800460815429,
"Time in s": 2.5991990000000005
},
{
"step": 418,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 15.311297276648313,
"RMSE": 24.25392212062312,
"R2": 0.6971079497894322,
"Memory in Mb": 0.0457334518432617,
"Time in s": 2.7396560000000005
},
{
"step": 429,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 15.833945440380871,
"RMSE": 25.12811892959106,
"R2": 0.7110893860103431,
"Memory in Mb": 0.0457334518432617,
"Time in s": 2.8832220000000004
},
{
"step": 440,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 15.995632485589844,
"RMSE": 25.20571130808328,
"R2": 0.7298778762133054,
"Memory in Mb": 0.0456533432006835,
"Time in s": 3.0299210000000003
},
{
"step": 451,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 16.482571154231422,
"RMSE": 25.77399383544894,
"R2": 0.7295670550023294,
"Memory in Mb": 0.0461835861206054,
"Time in s": 3.179584
},
{
"step": 462,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 17.556958821758087,
"RMSE": 27.82207110996992,
"R2": 0.7040173234911381,
"Memory in Mb": 0.0469274520874023,
"Time in s": 3.3322830000000003
},
{
"step": 473,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 18.31809908164516,
"RMSE": 29.103026344234387,
"R2": 0.7140266770057507,
"Memory in Mb": 0.046980857849121,
"Time in s": 3.488055
},
{
"step": 484,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 18.645508344467764,
"RMSE": 29.39095020592674,
"R2": 0.7243229903014706,
"Memory in Mb": 0.0469541549682617,
"Time in s": 3.646969
},
{
"step": 495,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 19.076944683969508,
"RMSE": 29.900823849283483,
"R2": 0.7315970559213162,
"Memory in Mb": 0.0469007492065429,
"Time in s": 3.808963
},
{
"step": 506,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 19.9412049113122,
"RMSE": 31.299098765867257,
"R2": 0.7144549629170223,
"Memory in Mb": 0.046980857849121,
"Time in s": 3.97409
},
{
"step": 517,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 20.652539482762663,
"RMSE": 32.28122969713156,
"R2": 0.7133599532452177,
"Memory in Mb": 0.0470075607299804,
"Time in s": 4.142383000000001
},
{
"step": 528,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 21.437431132207102,
"RMSE": 33.471760575953454,
"R2": 0.7229272102715563,
"Memory in Mb": 0.0470075607299804,
"Time in s": 4.313758000000001
},
{
"step": 539,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 21.589008276225865,
"RMSE": 33.459905509370415,
"R2": 0.7345566785536845,
"Memory in Mb": 0.0470075607299804,
"Time in s": 4.488246000000001
},
{
"step": 550,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 22.551700866868885,
"RMSE": 35.03737693702089,
"R2": 0.717908278090669,
"Memory in Mb": 0.0470342636108398,
"Time in s": 4.665796000000001
},
{
"step": 561,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 23.243872726229487,
"RMSE": 35.949191367533466,
"R2": 0.7160216409608307,
"Memory in Mb": 0.0470075607299804,
"Time in s": 4.846464000000001
},
{
"step": 572,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "ChickWeights",
"MAE": 24.092513885911806,
"RMSE": 37.13693189688246,
"R2": 0.7196752558485364,
"Memory in Mb": 0.0469541549682617,
"Time in s": 5.030284000000001
},
{
"step": 20,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 2.695184981652336,
"RMSE": 9.807184976514188,
"R2": -224.6021011118197,
"Memory in Mb": 0.0538091659545898,
"Time in s": 0.005953
},
{
"step": 40,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 2.3994713447037435,
"RMSE": 7.102066178895935,
"R2": -19.27845129783118,
"Memory in Mb": 0.0761518478393554,
"Time in s": 0.016156
},
{
"step": 60,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.8170744682035584,
"RMSE": 5.815253847056423,
"R2": -17.329373299766118,
"Memory in Mb": 0.0883970260620117,
"Time in s": 0.0302489999999999
},
{
"step": 80,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.604995404573344,
"RMSE": 5.081770494168446,
"R2": -13.040545957103586,
"Memory in Mb": 0.0980443954467773,
"Time in s": 0.0484799999999999
},
{
"step": 100,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.824259078948539,
"RMSE": 4.70488333223354,
"R2": -6.5512954222403845,
"Memory in Mb": 0.1071348190307617,
"Time in s": 0.071134
},
{
"step": 120,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.918744608116588,
"RMSE": 4.412336880489357,
"R2": -4.634185300646759,
"Memory in Mb": 0.1113233566284179,
"Time in s": 0.098322
},
{
"step": 140,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.8761207739327503,
"RMSE": 4.13187920011476,
"R2": -4.105616799680584,
"Memory in Mb": 0.1133375167846679,
"Time in s": 0.13009
},
{
"step": 160,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.961232939518506,
"RMSE": 3.976173487274506,
"R2": -3.1695661963674864,
"Memory in Mb": 0.1174459457397461,
"Time in s": 0.166507
},
{
"step": 180,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 2.066134597500757,
"RMSE": 3.873731518767916,
"R2": -2.4756944369169624,
"Memory in Mb": 0.1194601058959961,
"Time in s": 0.207686
},
{
"step": 200,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 2.051125997923389,
"RMSE": 3.731810291394655,
"R2": -2.23527456693896,
"Memory in Mb": 0.0176219940185546,
"Time in s": 0.262943
},
{
"step": 220,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 2.0738811328897206,
"RMSE": 4.417664564856108,
"R2": -3.890594467356201,
"Memory in Mb": 0.0358037948608398,
"Time in s": 0.32065
},
{
"step": 240,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.9726100065438288,
"RMSE": 4.237524240975239,
"R2": -3.5337340888030546,
"Memory in Mb": 0.0415029525756835,
"Time in s": 0.38109
},
{
"step": 260,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.8594315384151243,
"RMSE": 4.074751007989252,
"R2": -3.248610147038553,
"Memory in Mb": 0.0488462448120117,
"Time in s": 0.444412
},
{
"step": 280,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.7773205119132678,
"RMSE": 3.936654153117972,
"R2": -3.1518424972300867,
"Memory in Mb": 0.0637922286987304,
"Time in s": 0.510957
},
{
"step": 300,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.8265705896173516,
"RMSE": 3.8591002097544127,
"R2": -2.923813511442849,
"Memory in Mb": 0.0735006332397461,
"Time in s": 0.581026
},
{
"step": 320,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.7437620649419607,
"RMSE": 3.7394874649640353,
"R2": -2.8667745903740336,
"Memory in Mb": 0.0810804367065429,
"Time in s": 0.6546050000000001
},
{
"step": 340,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.7029951846067328,
"RMSE": 3.640753753244776,
"R2": -2.873305462857122,
"Memory in Mb": 0.0861959457397461,
"Time in s": 0.7321480000000001
},
{
"step": 360,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.691125588823449,
"RMSE": 3.557868621003357,
"R2": -2.729329365262769,
"Memory in Mb": 0.0937833786010742,
"Time in s": 0.8137190000000001
},
{
"step": 380,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.641476039217788,
"RMSE": 3.4678199943963026,
"R2": -2.665503107324644,
"Memory in Mb": 0.0988988876342773,
"Time in s": 0.8994270000000001
},
{
"step": 400,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6260112424669562,
"RMSE": 3.3952504336469187,
"R2": -2.613000890937967,
"Memory in Mb": 0.1061162948608398,
"Time in s": 0.989373
},
{
"step": 420,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6289201270983786,
"RMSE": 3.3343146523246907,
"R2": -2.599793842225358,
"Memory in Mb": 0.1101179122924804,
"Time in s": 1.08339
},
{
"step": 440,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.667060123646852,
"RMSE": 3.302206999442347,
"R2": -2.466911261860751,
"Memory in Mb": 0.1157636642456054,
"Time in s": 1.1816330000000002
},
{
"step": 460,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.69667104754334,
"RMSE": 3.2720484626443,
"R2": -2.2278892819413008,
"Memory in Mb": 0.1238470077514648,
"Time in s": 1.2846220000000002
},
{
"step": 480,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6506098779434175,
"RMSE": 3.2067821053781245,
"R2": -2.029074572324324,
"Memory in Mb": 0.1315069198608398,
"Time in s": 1.3924660000000002
},
{
"step": 500,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6365240614669594,
"RMSE": 3.1603547309397078,
"R2": -1.8802784791951508,
"Memory in Mb": 0.0784368515014648,
"Time in s": 1.505205
},
{
"step": 520,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6536721067944389,
"RMSE": 3.126560253923372,
"R2": -1.823930193625598,
"Memory in Mb": 0.0835790634155273,
"Time in s": 1.621512
},
{
"step": 540,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6698160029512246,
"RMSE": 3.0946441969309766,
"R2": -1.7564325082786318,
"Memory in Mb": 0.0873861312866211,
"Time in s": 1.745676
},
{
"step": 560,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6408841434358417,
"RMSE": 3.046586581366264,
"R2": -1.735141389893172,
"Memory in Mb": 0.0885534286499023,
"Time in s": 1.8735
},
{
"step": 580,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6127327645791831,
"RMSE": 2.999611374258061,
"R2": -1.7170225021123482,
"Memory in Mb": 0.0890569686889648,
"Time in s": 2.004994
},
{
"step": 600,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6269498006919805,
"RMSE": 2.973082395326553,
"R2": -1.6396488808638732,
"Memory in Mb": 0.0909147262573242,
"Time in s": 2.140229
},
{
"step": 620,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.64112955570108,
"RMSE": 2.949075530135499,
"R2": -1.5576036781852802,
"Memory in Mb": 0.0923452377319336,
"Time in s": 2.27922
},
{
"step": 640,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6562657927450175,
"RMSE": 2.9273758724267736,
"R2": -1.4729982020585646,
"Memory in Mb": 0.0944395065307617,
"Time in s": 2.422009
},
{
"step": 660,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6610090165740414,
"RMSE": 2.900076441293188,
"R2": -1.409637238697782,
"Memory in Mb": 0.0960302352905273,
"Time in s": 2.568661
},
{
"step": 680,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.640070345532056,
"RMSE": 2.8623424740678667,
"R2": -1.3844340745604549,
"Memory in Mb": 0.0981245040893554,
"Time in s": 2.7190639999999995
},
{
"step": 700,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.6119603204138224,
"RMSE": 2.8240252200668348,
"R2": -1.381983091116742,
"Memory in Mb": 0.1015691757202148,
"Time in s": 2.8733429999999998
},
{
"step": 720,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.589173412563986,
"RMSE": 2.788316481605285,
"R2": -1.3731423466582644,
"Memory in Mb": 0.1027364730834961,
"Time in s": 3.031541
},
{
"step": 740,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.5872474989945902,
"RMSE": 2.762320631839069,
"R2": -1.3276973292362433,
"Memory in Mb": 0.1038503646850586,
"Time in s": 3.198810999999999
},
{
"step": 760,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.573860293324891,
"RMSE": 2.731605449949154,
"R2": -1.3008801881813965,
"Memory in Mb": 0.1038503646850586,
"Time in s": 3.3700799999999997
},
{
"step": 780,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.5672492734296428,
"RMSE": 2.7047187411026274,
"R2": -1.2659143323804294,
"Memory in Mb": 0.1064214706420898,
"Time in s": 3.5453349999999992
},
{
"step": 800,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.5527653312522924,
"RMSE": 2.676901954415756,
"R2": -1.2396196471003753,
"Memory in Mb": 0.1070318222045898,
"Time in s": 3.7247
},
{
"step": 820,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.5366430278321572,
"RMSE": 2.648967131435787,
"R2": -1.2172052322327516,
"Memory in Mb": 0.1085958480834961,
"Time in s": 3.908095
},
{
"step": 840,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.5234128351461855,
"RMSE": 2.622526466573217,
"R2": -1.1933402061449063,
"Memory in Mb": 0.1101598739624023,
"Time in s": 4.095543999999999
},
{
"step": 860,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.520997799745444,
"RMSE": 2.601206078568585,
"R2": -1.1541054380753062,
"Memory in Mb": 0.1107702255249023,
"Time in s": 4.287108999999999
},
{
"step": 880,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4988763963538276,
"RMSE": 2.573388458013685,
"R2": -1.0978034673380694,
"Memory in Mb": 0.1112470626831054,
"Time in s": 4.482816999999999
},
{
"step": 900,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4758663089418147,
"RMSE": 2.54594713286987,
"R2": -1.061955243276925,
"Memory in Mb": 0.1116437911987304,
"Time in s": 4.682644999999999
},
{
"step": 920,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.462937696730923,
"RMSE": 2.523979038782575,
"R2": -1.059822201667401,
"Memory in Mb": 0.1116704940795898,
"Time in s": 4.886850999999999
},
{
"step": 940,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4561394845136584,
"RMSE": 2.50519739840106,
"R2": -1.0464959899330828,
"Memory in Mb": 0.1127042770385742,
"Time in s": 5.100838999999999
},
{
"step": 960,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4393535919618172,
"RMSE": 2.483254475687026,
"R2": -1.0318268701719249,
"Memory in Mb": 0.1132078170776367,
"Time in s": 5.318975999999998
},
{
"step": 980,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4209594300543067,
"RMSE": 2.4596960058574417,
"R2": -1.0321742156649796,
"Memory in Mb": 0.1138181686401367,
"Time in s": 5.541285999999999
},
{
"step": 1000,
"track": "Regression",
"model": "Adaptive Model Rules",
"dataset": "TrumpApproval",
"MAE": 1.4020445673510784,
"RMSE": 2.4364355463770164,
"R2": -1.027485181852556,
"Memory in Mb": 0.1144285202026367,
"Time in s": 5.767785999999998
},
{
"step": 11,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 4.674710287324511,
"RMSE": 12.709622005759083,
"R2": -206.93269654300337,
"Memory in Mb": 0.1438665390014648,
"Time in s": 0.043578
},
{
"step": 22,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.741934273684416,
"RMSE": 9.017856101646904,
"R2": -85.12629469646626,
"Memory in Mb": 0.1680784225463867,
"Time in s": 0.114891
},
{
"step": 33,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.321314094852809,
"RMSE": 7.424021720293775,
"R2": -37.27897402435965,
"Memory in Mb": 0.2096052169799804,
"Time in s": 0.217395
},
{
"step": 44,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 1.9425031371298072,
"RMSE": 6.446443185481759,
"R2": -31.71802976156788,
"Memory in Mb": 0.2417478561401367,
"Time in s": 0.352059
},
{
"step": 55,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.220127898780405,
"RMSE": 6.120501061993398,
"R2": -6.312733162160137,
"Memory in Mb": 0.3060827255249023,
"Time in s": 0.516621
},
{
"step": 66,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.329752126186388,
"RMSE": 5.733717860182345,
"R2": -1.7664593315707076,
"Memory in Mb": 0.3567266464233398,
"Time in s": 0.719974
},
{
"step": 77,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.702798931003846,
"RMSE": 5.8295610878248265,
"R2": -0.9166874006339528,
"Memory in Mb": 0.3732900619506836,
"Time in s": 0.96062
},
{
"step": 88,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.6099619817757915,
"RMSE": 5.526618942218035,
"R2": -0.5618763668879856,
"Memory in Mb": 0.4128637313842773,
"Time in s": 1.239929
},
{
"step": 99,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.746820956366501,
"RMSE": 5.433915350818854,
"R2": -0.2628661224764999,
"Memory in Mb": 0.4623746871948242,
"Time in s": 1.563224
},
{
"step": 110,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 2.8880448046427323,
"RMSE": 5.393209741308231,
"R2": 0.131281330475993,
"Memory in Mb": 0.5318593978881836,
"Time in s": 1.933351
},
{
"step": 121,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.102793618966865,
"RMSE": 5.4667968998241765,
"R2": 0.312565398150165,
"Memory in Mb": 0.5604543685913086,
"Time in s": 2.356966
},
{
"step": 132,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.301393875206229,
"RMSE": 5.777687225912497,
"R2": 0.3724425463943938,
"Memory in Mb": 0.1946859359741211,
"Time in s": 2.834547
},
{
"step": 143,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.2818761969220303,
"RMSE": 5.651296511520541,
"R2": 0.5136946280960023,
"Memory in Mb": 0.2288389205932617,
"Time in s": 3.343438
},
{
"step": 154,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.2515588511167266,
"RMSE": 5.538190901897615,
"R2": 0.6030852117170243,
"Memory in Mb": 0.2577199935913086,
"Time in s": 3.884102
},
{
"step": 165,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.5490619378471253,
"RMSE": 5.901472315915889,
"R2": 0.6377005660204649,
"Memory in Mb": 0.2627325057983398,
"Time in s": 4.460716
},
{
"step": 176,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.748099204740288,
"RMSE": 6.114989482363781,
"R2": 0.6863562530103127,
"Memory in Mb": 0.2941198348999023,
"Time in s": 5.073099
},
{
"step": 187,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 3.855321751115436,
"RMSE": 6.172883744230479,
"R2": 0.7383134393857906,
"Memory in Mb": 0.3320951461791992,
"Time in s": 5.716163
},
{
"step": 198,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 4.064611732985858,
"RMSE": 6.634154210053631,
"R2": 0.7595694090278171,
"Memory in Mb": 0.2527418136596679,
"Time in s": 6.400463
},
{
"step": 209,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 4.2854283677061895,
"RMSE": 7.034301545827039,
"R2": 0.7771654635449772,
"Memory in Mb": 0.3202161788940429,
"Time in s": 7.116785
},
{
"step": 220,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 4.87812017832838,
"RMSE": 8.464168223538273,
"R2": 0.7175347810295998,
"Memory in Mb": 0.3510808944702148,
"Time in s": 7.873189
},
{
"step": 231,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 5.139510271881338,
"RMSE": 8.709209118107985,
"R2": 0.7441975817879227,
"Memory in Mb": 0.3200139999389648,
"Time in s": 8.671972
},
{
"step": 242,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 5.512568989147682,
"RMSE": 9.214318878962654,
"R2": 0.7696009669773758,
"Memory in Mb": 0.3710927963256836,
"Time in s": 9.508629
},
{
"step": 253,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 5.61462831814645,
"RMSE": 9.300369065456374,
"R2": 0.7961404678287027,
"Memory in Mb": 0.4192609786987304,
"Time in s": 10.381303
},
{
"step": 264,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 6.307820522062941,
"RMSE": 10.632794713133398,
"R2": 0.7565488951511344,
"Memory in Mb": 0.3416013717651367,
"Time in s": 11.288641
},
{
"step": 275,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 6.788015101176612,
"RMSE": 11.834244259749068,
"R2": 0.7346291964126817,
"Memory in Mb": 0.3569021224975586,
"Time in s": 12.231102
},
{
"step": 286,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 7.083325494446596,
"RMSE": 12.279756566760542,
"R2": 0.7525262008661281,
"Memory in Mb": 0.3965520858764648,
"Time in s": 13.20812
},
{
"step": 297,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 7.191320030958258,
"RMSE": 12.343414248948324,
"R2": 0.7831373025283351,
"Memory in Mb": 0.4258260726928711,
"Time in s": 14.218151
},
{
"step": 308,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 7.797209174725968,
"RMSE": 13.278742843330225,
"R2": 0.7764780945249113,
"Memory in Mb": 0.4501142501831054,
"Time in s": 15.260696
},
{
"step": 319,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 8.817827198046418,
"RMSE": 15.9696940597815,
"R2": 0.7066209046531168,
"Memory in Mb": 0.4718656539916992,
"Time in s": 16.339578
},
{
"step": 330,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 9.357743221083844,
"RMSE": 16.830542617885925,
"R2": 0.7211345584533546,
"Memory in Mb": 0.3236379623413086,
"Time in s": 17.459623999999998
},
{
"step": 341,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 9.597227793355117,
"RMSE": 16.978620563243194,
"R2": 0.7458759585671038,
"Memory in Mb": 0.3676939010620117,
"Time in s": 18.612921
},
{
"step": 352,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 9.7373515968392,
"RMSE": 17.046818432657442,
"R2": 0.7671306392320572,
"Memory in Mb": 0.3629522323608398,
"Time in s": 19.795535999999995
},
{
"step": 363,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 10.474784553852622,
"RMSE": 18.420082712462506,
"R2": 0.7359718490826586,
"Memory in Mb": 0.3571195602416992,
"Time in s": 21.012742
},
{
"step": 374,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 11.136965297216438,
"RMSE": 20.001694167276444,
"R2": 0.7138145773791849,
"Memory in Mb": 0.3998785018920898,
"Time in s": 22.263945
},
{
"step": 385,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 11.663755213802826,
"RMSE": 20.72310945995512,
"R2": 0.7282041838356077,
"Memory in Mb": 0.3288450241088867,
"Time in s": 23.553922
},
{
"step": 396,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 11.794892571100942,
"RMSE": 20.71536814309967,
"R2": 0.7467690419180344,
"Memory in Mb": 0.4024953842163086,
"Time in s": 24.874665
},
{
"step": 407,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 12.7361976076631,
"RMSE": 22.396840643020628,
"R2": 0.7248523596518419,
"Memory in Mb": 0.4475545883178711,
"Time in s": 26.248019
},
{
"step": 418,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 13.669165628181592,
"RMSE": 24.17119440887557,
"R2": 0.6991706950778176,
"Memory in Mb": 0.4968290328979492,
"Time in s": 27.657996
},
{
"step": 429,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 14.21091951782044,
"RMSE": 24.907688885339496,
"R2": 0.7161359437094021,
"Memory in Mb": 0.5376424789428711,
"Time in s": 29.100111
},
{
"step": 440,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 14.453337266265764,
"RMSE": 25.002813963201465,
"R2": 0.7342091543116155,
"Memory in Mb": 0.5657072067260742,
"Time in s": 30.577019
},
{
"step": 451,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 14.795462221424788,
"RMSE": 25.396591749368834,
"R2": 0.7374288341656263,
"Memory in Mb": 0.2583265304565429,
"Time in s": 32.092868
},
{
"step": 462,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 16.121556592117344,
"RMSE": 28.147488646444906,
"R2": 0.6970529793362255,
"Memory in Mb": 0.3047628402709961,
"Time in s": 33.634783000000006
},
{
"step": 473,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 16.919755395139642,
"RMSE": 29.31210430009691,
"R2": 0.7099030173412568,
"Memory in Mb": 0.3544912338256836,
"Time in s": 35.20760200000001
},
{
"step": 484,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 17.222944705236912,
"RMSE": 29.519121223412064,
"R2": 0.7219133474565596,
"Memory in Mb": 0.3983259201049804,
"Time in s": 36.808400000000006
},
{
"step": 495,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 17.875632407347712,
"RMSE": 30.34841895302658,
"R2": 0.7235012910446976,
"Memory in Mb": 0.4324254989624023,
"Time in s": 38.43633400000001
},
{
"step": 506,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 18.888217233083253,
"RMSE": 31.835585198521954,
"R2": 0.7045822227904736,
"Memory in Mb": 0.4678411483764648,
"Time in s": 40.09290200000001
},
{
"step": 517,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 19.824673890348247,
"RMSE": 33.232962754926376,
"R2": 0.6962090391160322,
"Memory in Mb": 0.4975500106811523,
"Time in s": 41.78457100000001
},
{
"step": 528,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 20.55396214529221,
"RMSE": 34.09704280994323,
"R2": 0.712478586733055,
"Memory in Mb": 0.5351285934448242,
"Time in s": 43.50851800000001
},
{
"step": 539,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 20.794926737672743,
"RMSE": 34.209729391662115,
"R2": 0.7225264054992676,
"Memory in Mb": 0.576685905456543,
"Time in s": 45.26814300000001
},
{
"step": 550,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 21.840113545070352,
"RMSE": 36.13121679398973,
"R2": 0.7000199686285788,
"Memory in Mb": 0.4753904342651367,
"Time in s": 47.07007900000001
},
{
"step": 561,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 22.59682566601873,
"RMSE": 37.08324430393829,
"R2": 0.6978222813826447,
"Memory in Mb": 0.5189352035522461,
"Time in s": 48.90757000000001
},
{
"step": 572,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "ChickWeights",
"MAE": 23.516206925607506,
"RMSE": 38.207190389030345,
"R2": 0.703284935102584,
"Memory in Mb": 0.5585355758666992,
"Time in s": 50.782863000000006
},
{
"step": 20,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 2.677140920600926,
"RMSE": 9.804891856735376,
"R2": -224.4966127051096,
"Memory in Mb": 0.2373647689819336,
"Time in s": 0.10297
},
{
"step": 40,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 2.227777813220112,
"RMSE": 7.083306817310631,
"R2": -19.171465983096805,
"Memory in Mb": 0.3270711898803711,
"Time in s": 0.289755
},
{
"step": 60,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.615301860635012,
"RMSE": 5.7908261762165685,
"R2": -17.175707266102673,
"Memory in Mb": 0.3493108749389648,
"Time in s": 0.561259
},
{
"step": 80,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.3541232617236425,
"RMSE": 5.026566774725167,
"R2": -12.73715546617699,
"Memory in Mb": 0.3968191146850586,
"Time in s": 0.918423
},
{
"step": 100,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.2177336486572592,
"RMSE": 4.516233376106315,
"R2": -5.957872973758095,
"Memory in Mb": 0.4107885360717773,
"Time in s": 1.362708
},
{
"step": 120,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.1154353306650455,
"RMSE": 4.135716354504269,
"R2": -3.949887064372274,
"Memory in Mb": 0.4562673568725586,
"Time in s": 1.881933
},
{
"step": 140,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.2694693870086102,
"RMSE": 4.857381406328817,
"R2": -6.05598089151511,
"Memory in Mb": 0.2026891708374023,
"Time in s": 2.479905
},
{
"step": 160,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.197729670480587,
"RMSE": 4.553187715474859,
"R2": -4.467532002416268,
"Memory in Mb": 0.3215742111206054,
"Time in s": 3.138645
},
{
"step": 180,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.1382354235034091,
"RMSE": 4.302111654125532,
"R2": -3.2869252353070264,
"Memory in Mb": 0.4017667770385742,
"Time in s": 3.869636
},
{
"step": 200,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.0619299314905082,
"RMSE": 4.083716699099621,
"R2": -2.874210730330613,
"Memory in Mb": 0.4772901535034179,
"Time in s": 4.674132999999999
},
{
"step": 220,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 1.009898171671029,
"RMSE": 3.898715068147509,
"R2": -2.8090719143731837,
"Memory in Mb": 0.5200605392456055,
"Time in s": 5.552957999999999
},
{
"step": 240,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.9646445055554522,
"RMSE": 3.736185930434801,
"R2": -2.5244277699140394,
"Memory in Mb": 0.590418815612793,
"Time in s": 6.501358999999999
},
{
"step": 260,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.9172332240820484,
"RMSE": 3.59133014967386,
"R2": -2.300314999970906,
"Memory in Mb": 0.677699089050293,
"Time in s": 7.522147999999999
},
{
"step": 280,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8713372213927624,
"RMSE": 3.461793231901636,
"R2": -2.2106176891844487,
"Memory in Mb": 0.7459287643432617,
"Time in s": 8.615362
},
{
"step": 300,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8589405406556339,
"RMSE": 3.350216865329824,
"R2": -1.9572094631572516,
"Memory in Mb": 0.8300580978393555,
"Time in s": 9.791068
},
{
"step": 320,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8332253596869799,
"RMSE": 3.2462964384589745,
"R2": -1.91407713381932,
"Memory in Mb": 0.8134641647338867,
"Time in s": 11.051061
},
{
"step": 340,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8452804825423809,
"RMSE": 3.1781241500612394,
"R2": -1.9514868559348704,
"Memory in Mb": 0.7938528060913086,
"Time in s": 12.398121
},
{
"step": 360,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8633895166787324,
"RMSE": 3.1040171399305283,
"R2": -1.8385669899509445,
"Memory in Mb": 0.8660383224487305,
"Time in s": 13.839894
},
{
"step": 380,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8513159306308952,
"RMSE": 3.0258511220091995,
"R2": -1.790715802132521,
"Memory in Mb": 0.930495262145996,
"Time in s": 15.372487
},
{
"step": 400,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8510161564157176,
"RMSE": 2.9641796059686003,
"R2": -1.7538068241726803,
"Memory in Mb": 0.9046812057495116,
"Time in s": 17.004842
},
{
"step": 420,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8518447067444684,
"RMSE": 2.91289276041272,
"R2": -1.747346648183163,
"Memory in Mb": 0.2984609603881836,
"Time in s": 18.737382
},
{
"step": 440,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8395925714721912,
"RMSE": 2.8496340177457244,
"R2": -1.5817388594042834,
"Memory in Mb": 0.3453207015991211,
"Time in s": 20.534513
},
{
"step": 460,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8276812048623222,
"RMSE": 2.790693875069675,
"R2": -1.3480296319058032,
"Memory in Mb": 0.3807516098022461,
"Time in s": 22.405168
},
{
"step": 480,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.8089244758990292,
"RMSE": 2.7333778802045163,
"R2": -1.2007484949677454,
"Memory in Mb": 0.4482488632202148,
"Time in s": 24.346508
},
{
"step": 500,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7928829832001318,
"RMSE": 2.679994202833863,
"R2": -1.0712404739849797,
"Memory in Mb": 0.4975194931030273,
"Time in s": 26.364916
},
{
"step": 520,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7968627360462042,
"RMSE": 2.655906961990266,
"R2": -1.037727311679443,
"Memory in Mb": 0.3753881454467773,
"Time in s": 28.465481
},
{
"step": 540,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7742648164612971,
"RMSE": 2.606576025481956,
"R2": -0.9555400217068246,
"Memory in Mb": 0.4063673019409179,
"Time in s": 30.635854
},
{
"step": 560,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7686196547282114,
"RMSE": 2.5632583130611786,
"R2": -0.9361432250468024,
"Memory in Mb": 0.4374494552612304,
"Time in s": 32.873421
},
{
"step": 580,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7604339230100455,
"RMSE": 2.522208925126442,
"R2": -0.9209911676265596,
"Memory in Mb": 0.4967718124389648,
"Time in s": 35.174013
},
{
"step": 600,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7505205215384793,
"RMSE": 2.4816305596178174,
"R2": -0.839105014250833,
"Memory in Mb": 0.569575309753418,
"Time in s": 37.541938
},
{
"step": 620,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7415649894603582,
"RMSE": 2.4434454055931187,
"R2": -0.7557664113175795,
"Memory in Mb": 0.6584272384643555,
"Time in s": 39.976025
},
{
"step": 640,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7318408439896782,
"RMSE": 2.406886195682516,
"R2": -0.6717754169622376,
"Memory in Mb": 0.7120962142944336,
"Time in s": 42.479937
},
{
"step": 660,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7165688958291918,
"RMSE": 2.37061113672817,
"R2": -0.6101020988109156,
"Memory in Mb": 0.8089780807495117,
"Time in s": 45.058017
},
{
"step": 680,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7019759043195819,
"RMSE": 2.336022363731008,
"R2": -0.5881668313132071,
"Memory in Mb": 0.8398160934448242,
"Time in s": 47.720249
},
{
"step": 700,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.7046161229979929,
"RMSE": 2.307765546298159,
"R2": -0.5906876272832315,
"Memory in Mb": 0.9275884628295898,
"Time in s": 50.471651
},
{
"step": 720,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.699791115281057,
"RMSE": 2.2802792890719745,
"R2": -0.5871418479715558,
"Memory in Mb": 0.9087285995483398,
"Time in s": 53.310919
},
{
"step": 740,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6993154625867034,
"RMSE": 2.2532668970074776,
"R2": -0.5488294820654547,
"Memory in Mb": 0.8719320297241211,
"Time in s": 56.236366
},
{
"step": 760,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6904813287783395,
"RMSE": 2.224703478329614,
"R2": -0.5261679577762028,
"Memory in Mb": 0.929518699645996,
"Time in s": 59.248631
},
{
"step": 780,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6809571474431378,
"RMSE": 2.1968956754751456,
"R2": -0.4949206250779803,
"Memory in Mb": 1.0446271896362305,
"Time in s": 62.34821899999999
},
{
"step": 800,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6801944660295238,
"RMSE": 2.1726014141558028,
"R2": -0.4752630155166446,
"Memory in Mb": 1.1031560897827148,
"Time in s": 65.54039399999999
},
{
"step": 820,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6800251543540311,
"RMSE": 2.1538267014914845,
"R2": -0.4657984869085023,
"Memory in Mb": 1.0328702926635742,
"Time in s": 68.82165799999999
},
{
"step": 840,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6756860923792902,
"RMSE": 2.1342936501586,
"R2": -0.4526954783446735,
"Memory in Mb": 0.7475957870483398,
"Time in s": 72.18837399999998
},
{
"step": 860,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6733560632024954,
"RMSE": 2.111426905397114,
"R2": -0.4192847599850244,
"Memory in Mb": 0.8119535446166992,
"Time in s": 75.62699399999998
},
{
"step": 880,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6699617254268444,
"RMSE": 2.0889651464935617,
"R2": -0.3823451381863831,
"Memory in Mb": 0.8655576705932617,
"Time in s": 79.14156799999998
},
{
"step": 900,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6641763033522209,
"RMSE": 2.070781028281848,
"R2": -0.3641082228169974,
"Memory in Mb": 0.8467855453491211,
"Time in s": 82.73512999999998
},
{
"step": 920,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6581948551182502,
"RMSE": 2.04921868376074,
"R2": -0.3577970506072152,
"Memory in Mb": 0.9400205612182616,
"Time in s": 86.40810799999998
},
{
"step": 940,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6518145768911946,
"RMSE": 2.0285221107553344,
"R2": -0.3417959776408932,
"Memory in Mb": 0.8168668746948242,
"Time in s": 90.15720199999998
},
{
"step": 960,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6459384626205039,
"RMSE": 2.0083339154310043,
"R2": -0.328972794111009,
"Memory in Mb": 0.9120321273803712,
"Time in s": 93.98330699999998
},
{
"step": 980,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6434185155449816,
"RMSE": 1.989534246313576,
"R2": -0.3295384550375804,
"Memory in Mb": 0.9782476425170898,
"Time in s": 97.888458
},
{
"step": 1000,
"track": "Regression",
"model": "Streaming Random Patches",
"dataset": "TrumpApproval",
"MAE": 0.6405613133684143,
"RMSE": 1.9713432953350207,
"R2": -0.3273099653285773,
"Memory in Mb": 1.0593442916870115,
"Time in s": 101.872577
},
{
"step": 11,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 10.961585696594296,
"RMSE": 17.742218537059934,
"R2": -404.203665453531,
"Memory in Mb": 0.1782550811767578,
"Time in s": 0.00837
},
{
"step": 22,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 5.889263372306967,
"RMSE": 12.56756036562654,
"R2": -166.2750319368382,
"Memory in Mb": 0.1910533905029297,
"Time in s": 0.024461
},
{
"step": 33,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.385855416063054,
"RMSE": 10.300574999811516,
"R2": -72.68935558725912,
"Memory in Mb": 0.2280941009521484,
"Time in s": 0.04853
},
{
"step": 44,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 3.447994945519213,
"RMSE": 8.931729546653537,
"R2": -61.80843214992921,
"Memory in Mb": 0.2438068389892578,
"Time in s": 0.081553
},
{
"step": 55,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 3.35253400433443,
"RMSE": 8.24824849102831,
"R2": -12.280953122644297,
"Memory in Mb": 0.2916851043701172,
"Time in s": 0.123768
},
{
"step": 66,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 3.890626377385135,
"RMSE": 8.046318086318358,
"R2": -4.448112248710658,
"Memory in Mb": 0.3612346649169922,
"Time in s": 0.176552
},
{
"step": 77,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.3386080839549335,
"RMSE": 7.968508799771546,
"R2": -2.581242138287016,
"Memory in Mb": 0.4169635772705078,
"Time in s": 0.2426829999999999
},
{
"step": 88,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.490657725713863,
"RMSE": 7.741140850532905,
"R2": -2.064344233357061,
"Memory in Mb": 0.4634113311767578,
"Time in s": 0.322916
},
{
"step": 99,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.7848487383098295,
"RMSE": 7.706963997319479,
"R2": -1.5403773740733393,
"Memory in Mb": 0.4844684600830078,
"Time in s": 0.418203
},
{
"step": 110,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.819508170706054,
"RMSE": 7.525876668153812,
"R2": -0.6916040970280823,
"Memory in Mb": 0.5139484405517578,
"Time in s": 0.528794
},
{
"step": 121,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.831868630589585,
"RMSE": 7.4067264415397105,
"R2": -0.261880180240535,
"Memory in Mb": 0.5271091461181641,
"Time in s": 0.654758
},
{
"step": 132,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.689813959013141,
"RMSE": 7.185628463196342,
"R2": 0.0293225226637304,
"Memory in Mb": 0.5355319976806641,
"Time in s": 0.796727
},
{
"step": 143,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.575735548989308,
"RMSE": 6.988996035323699,
"R2": 0.2562234762018912,
"Memory in Mb": 0.5445156097412109,
"Time in s": 0.954849
},
{
"step": 154,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.5047654468276,
"RMSE": 6.840884466051986,
"R2": 0.3943998861813385,
"Memory in Mb": 0.5490932464599609,
"Time in s": 1.128949
},
{
"step": 165,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.788922390491115,
"RMSE": 7.112527411058041,
"R2": 0.4737467226899117,
"Memory in Mb": 0.5519008636474609,
"Time in s": 1.318602
},
{
"step": 176,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 4.970710142849908,
"RMSE": 7.252656159084941,
"R2": 0.5587960603089545,
"Memory in Mb": 0.5291376113891602,
"Time in s": 1.527133
},
{
"step": 187,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 5.027942129925975,
"RMSE": 7.276897995624471,
"R2": 0.6363381045701173,
"Memory in Mb": 0.5012483596801758,
"Time in s": 1.7549830000000002
},
{
"step": 198,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 5.049038224539579,
"RMSE": 7.28413559977408,
"R2": 0.7101491068659838,
"Memory in Mb": 0.3717927932739258,
"Time in s": 2.012416
},
{
"step": 209,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 5.250417000807892,
"RMSE": 7.635375364934655,
"R2": 0.7374564682191251,
"Memory in Mb": 0.3473329544067383,
"Time in s": 2.287127
},
{
"step": 220,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 5.8380227010176045,
"RMSE": 8.722095838276593,
"R2": 0.7000574251839753,
"Memory in Mb": 0.3545808792114258,
"Time in s": 2.575553
},
{
"step": 231,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 6.044258003678201,
"RMSE": 8.960072203538655,
"R2": 0.7292489015049135,
"Memory in Mb": 0.391514778137207,
"Time in s": 2.875072
},
{
"step": 242,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 6.276524828158362,
"RMSE": 9.354066864400572,
"R2": 0.7625593259413487,
"Memory in Mb": 0.4183511734008789,
"Time in s": 3.187566
},
{
"step": 253,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 6.3739207187481774,
"RMSE": 9.482128758285446,
"R2": 0.7880944389945109,
"Memory in Mb": 0.4399347305297851,
"Time in s": 3.512786
},
{
"step": 264,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 6.979732945669537,
"RMSE": 10.70081988088543,
"R2": 0.7534238884125567,
"Memory in Mb": 0.4525842666625976,
"Time in s": 3.851311
},
{
"step": 275,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 7.440978636214291,
"RMSE": 11.778455343325094,
"R2": 0.7371253175053303,
"Memory in Mb": 0.4610300064086914,
"Time in s": 4.203753
},
{
"step": 286,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 7.722695321089189,
"RMSE": 12.251182899165162,
"R2": 0.7536765505554787,
"Memory in Mb": 0.4700403213500976,
"Time in s": 4.570129
},
{
"step": 297,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 7.706764271589622,
"RMSE": 12.242915074252831,
"R2": 0.7866542868859879,
"Memory in Mb": 0.4733209609985351,
"Time in s": 4.950063
},
{
"step": 308,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 8.246398153738868,
"RMSE": 13.148346181255995,
"R2": 0.7808464902384371,
"Memory in Mb": 0.4770059585571289,
"Time in s": 5.342659
},
{
"step": 319,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 9.3474227240372,
"RMSE": 15.837966045238383,
"R2": 0.7114408913609181,
"Memory in Mb": 0.4802255630493164,
"Time in s": 5.749268000000001
},
{
"step": 330,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 9.81720525198044,
"RMSE": 16.4984558080814,
"R2": 0.732030690326682,
"Memory in Mb": 0.4911470413208008,
"Time in s": 6.171356000000001
},
{
"step": 341,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 10.029686613445753,
"RMSE": 16.618597428793866,
"R2": 0.7565388422982208,
"Memory in Mb": 0.496312141418457,
"Time in s": 6.607662000000001
},
{
"step": 352,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 10.183424974922596,
"RMSE": 16.72954607175143,
"R2": 0.7757182197717174,
"Memory in Mb": 0.5041093826293945,
"Time in s": 7.058783000000001
},
{
"step": 363,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 11.087226456936444,
"RMSE": 18.183293641227465,
"R2": 0.7427163510168195,
"Memory in Mb": 0.5065813064575195,
"Time in s": 7.524030000000001
},
{
"step": 374,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 11.611208342142504,
"RMSE": 19.353368352464965,
"R2": 0.7320664683002076,
"Memory in Mb": 0.4931306838989258,
"Time in s": 8.007171000000001
},
{
"step": 385,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 12.01727910935522,
"RMSE": 20.0211446068419,
"R2": 0.7463056879958478,
"Memory in Mb": 0.4681062698364258,
"Time in s": 8.510702000000002
},
{
"step": 396,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 12.181393533243163,
"RMSE": 20.04691533881536,
"R2": 0.7628481050767555,
"Memory in Mb": 0.4353647232055664,
"Time in s": 9.035917
},
{
"step": 407,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 13.09061742270854,
"RMSE": 21.647454224788547,
"R2": 0.7429569103775002,
"Memory in Mb": 0.4253015518188476,
"Time in s": 9.583169000000002
},
{
"step": 418,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 13.857583790923206,
"RMSE": 23.134723844753264,
"R2": 0.7244169153448246,
"Memory in Mb": 0.4488153457641601,
"Time in s": 10.147004
},
{
"step": 429,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 14.415812868423222,
"RMSE": 24.06086703427245,
"R2": 0.7351096813998451,
"Memory in Mb": 0.4820413589477539,
"Time in s": 10.724926
},
{
"step": 440,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 14.633210713365676,
"RMSE": 24.14605091357361,
"R2": 0.7521125932778163,
"Memory in Mb": 0.5092172622680664,
"Time in s": 11.318068
},
{
"step": 451,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 15.133020029766048,
"RMSE": 24.73830229788057,
"R2": 0.7508643131645836,
"Memory in Mb": 0.5367746353149414,
"Time in s": 11.926425
},
{
"step": 462,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 16.308165732303497,
"RMSE": 27.095114472384648,
"R2": 0.7192825818530082,
"Memory in Mb": 0.5905351638793945,
"Time in s": 12.55391
},
{
"step": 473,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 17.097647362788752,
"RMSE": 28.42746345262044,
"R2": 0.7271490710401121,
"Memory in Mb": 0.6096200942993164,
"Time in s": 13.198999
},
{
"step": 484,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 17.403233741388874,
"RMSE": 28.60630060223112,
"R2": 0.7388459944901757,
"Memory in Mb": 0.6277017593383789,
"Time in s": 13.862263
},
{
"step": 495,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 17.845914876737442,
"RMSE": 29.12415998011611,
"R2": 0.7453593218363636,
"Memory in Mb": 0.6518182754516602,
"Time in s": 14.54413
},
{
"step": 506,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 18.74953553887996,
"RMSE": 30.62874049978988,
"R2": 0.7265554777237875,
"Memory in Mb": 0.6593713760375977,
"Time in s": 15.245298000000002
},
{
"step": 517,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 19.47487310339954,
"RMSE": 31.618292560451803,
"R2": 0.7250121198400961,
"Memory in Mb": 0.6093225479125977,
"Time in s": 15.967903000000002
},
{
"step": 528,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 20.25384975920148,
"RMSE": 32.7838221306768,
"R2": 0.7341994138392889,
"Memory in Mb": 0.6206216812133789,
"Time in s": 16.707851
},
{
"step": 539,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 20.43401222967888,
"RMSE": 32.81136182644564,
"R2": 0.7447469767293837,
"Memory in Mb": 0.6340532302856445,
"Time in s": 17.46759
},
{
"step": 550,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 21.48271816680656,
"RMSE": 34.486522216355176,
"R2": 0.7267085961280999,
"Memory in Mb": 0.6409807205200195,
"Time in s": 18.246304
},
{
"step": 561,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 22.214948014440758,
"RMSE": 35.44362766111904,
"R2": 0.7239528137855742,
"Memory in Mb": 0.6374177932739258,
"Time in s": 19.046772
},
{
"step": 572,
"track": "Regression",
"model": "Bagging",
"dataset": "ChickWeights",
"MAE": 23.05953013824058,
"RMSE": 36.58622235196899,
"R2": 0.7279275728793118,
"Memory in Mb": 0.6435747146606445,
"Time in s": 19.865794
},
{
"step": 20,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 6.585839365171216,
"RMSE": 13.881516159864546,
"R2": -450.9893611410228,
"Memory in Mb": 0.4141368865966797,
"Time in s": 0.017776
},
{
"step": 40,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 4.363712565198605,
"RMSE": 9.938671227284791,
"R2": -38.712022235644,
"Memory in Mb": 0.5953998565673828,
"Time in s": 0.05778
},
{
"step": 60,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 3.1246200328296143,
"RMSE": 8.126568674182735,
"R2": -34.79519075888522,
"Memory in Mb": 0.7211894989013672,
"Time in s": 0.123528
},
{
"step": 80,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.5854221987839483,
"RMSE": 7.070456887280416,
"R2": -26.179962781345687,
"Memory in Mb": 0.8254451751708984,
"Time in s": 0.217362
},
{
"step": 100,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.612795341566278,
"RMSE": 6.441452396131832,
"R2": -13.15439617190778,
"Memory in Mb": 0.9287128448486328,
"Time in s": 0.340609
},
{
"step": 120,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.5650159676967723,
"RMSE": 5.964319967024998,
"R2": -9.294746752112973,
"Memory in Mb": 0.9687213897705078,
"Time in s": 0.493962
},
{
"step": 140,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.4246087892523565,
"RMSE": 5.555151474129083,
"R2": -8.228790661275799,
"Memory in Mb": 0.9892597198486328,
"Time in s": 0.677921
},
{
"step": 160,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.2372944440918734,
"RMSE": 5.2113826313001965,
"R2": -6.162524907472281,
"Memory in Mb": 1.0282306671142578,
"Time in s": 0.8947890000000001
},
{
"step": 180,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 2.1466345389477697,
"RMSE": 4.9537003451084844,
"R2": -4.683842281929501,
"Memory in Mb": 0.9880685806274414,
"Time in s": 1.151076
},
{
"step": 200,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.9892950861944356,
"RMSE": 4.704683592711833,
"R2": -4.14200943628533,
"Memory in Mb": 0.5611734390258789,
"Time in s": 1.477073
},
{
"step": 220,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.8962186057938932,
"RMSE": 4.499134208858052,
"R2": -4.072640393025983,
"Memory in Mb": 0.3967218399047851,
"Time in s": 1.841739
},
{
"step": 240,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.803503053095204,
"RMSE": 4.314740779926486,
"R2": -3.700467691841136,
"Memory in Mb": 0.4504899978637695,
"Time in s": 2.225753
},
{
"step": 260,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.7080100607704198,
"RMSE": 4.14999374436193,
"R2": -3.406965132392963,
"Memory in Mb": 0.5133523941040039,
"Time in s": 2.631091
},
{
"step": 280,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.6655932342441322,
"RMSE": 4.017842470146439,
"R2": -3.324861014485008,
"Memory in Mb": 0.6190156936645508,
"Time in s": 3.0590589999999995
},
{
"step": 300,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.6385421968346507,
"RMSE": 3.904974440220909,
"R2": -3.01765496812087,
"Memory in Mb": 0.7099161148071289,
"Time in s": 3.510991
},
{
"step": 320,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.5504197008133211,
"RMSE": 3.781681667850968,
"R2": -2.954527764504537,
"Memory in Mb": 0.777043342590332,
"Time in s": 3.987728
},
{
"step": 340,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.5047182142648992,
"RMSE": 3.6774767295200856,
"R2": -2.9518368180177696,
"Memory in Mb": 0.8162164688110352,
"Time in s": 4.49124
},
{
"step": 360,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.5167434089128324,
"RMSE": 3.599404249538014,
"R2": -2.816912258630976,
"Memory in Mb": 0.8943338394165039,
"Time in s": 5.022537
},
{
"step": 380,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.47690532831993,
"RMSE": 3.5095784857397434,
"R2": -2.754312484791544,
"Memory in Mb": 0.9456682205200196,
"Time in s": 5.582067
},
{
"step": 400,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.4473785178172314,
"RMSE": 3.4281100357630656,
"R2": -2.683273334840131,
"Memory in Mb": 1.0103578567504885,
"Time in s": 6.172723
},
{
"step": 420,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.40955398667131,
"RMSE": 3.3497394826483737,
"R2": -2.633176800681623,
"Memory in Mb": 0.9896020889282228,
"Time in s": 6.801780999999999
},
{
"step": 440,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.3766290707405415,
"RMSE": 3.2780180874471507,
"R2": -2.4163065189839363,
"Memory in Mb": 1.0508508682250977,
"Time in s": 7.462708999999999
},
{
"step": 460,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.3473843223583597,
"RMSE": 3.2105206765417766,
"R2": -2.1076358108912725,
"Memory in Mb": 1.1290063858032229,
"Time in s": 8.158304
},
{
"step": 480,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.3146601146346069,
"RMSE": 3.145698486393554,
"R2": -1.914776430829721,
"Memory in Mb": 1.2007226943969729,
"Time in s": 8.887782
},
{
"step": 500,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.2829933656636,
"RMSE": 3.084835387092109,
"R2": -1.7442697801193798,
"Memory in Mb": 1.2468271255493164,
"Time in s": 9.6533
},
{
"step": 520,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.253253159364902,
"RMSE": 3.027195393916086,
"R2": -1.647288417049146,
"Memory in Mb": 1.2976083755493164,
"Time in s": 10.456286
},
{
"step": 540,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.221748892460797,
"RMSE": 2.9719574458877616,
"R2": -1.5422080467663055,
"Memory in Mb": 1.2989130020141602,
"Time in s": 11.302161
},
{
"step": 560,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.2084725532442826,
"RMSE": 2.924408360153415,
"R2": -1.5201637785773734,
"Memory in Mb": 1.2362565994262695,
"Time in s": 12.194852
},
{
"step": 580,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.1798260089354875,
"RMSE": 2.875143807222344,
"R2": -1.496217338554359,
"Memory in Mb": 1.0948266983032229,
"Time in s": 13.14623
},
{
"step": 600,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.1697523000107772,
"RMSE": 2.832108990371036,
"R2": -1.3952574337441268,
"Memory in Mb": 0.9711389541625975,
"Time in s": 14.161435
},
{
"step": 620,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.1550049446613664,
"RMSE": 2.791430677298195,
"R2": -1.29147514335963,
"Memory in Mb": 0.9871377944946288,
"Time in s": 15.218796
},
{
"step": 640,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.1314798119108302,
"RMSE": 2.748614104980716,
"R2": -1.180190104825623,
"Memory in Mb": 0.955540657043457,
"Time in s": 16.316332
},
{
"step": 660,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.1121913646065007,
"RMSE": 2.708986615305391,
"R2": -1.102550782410015,
"Memory in Mb": 0.9793291091918944,
"Time in s": 17.449759
},
{
"step": 680,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.096472283083769,
"RMSE": 2.6715401075955145,
"R2": -1.0771388394715324,
"Memory in Mb": 1.0325212478637695,
"Time in s": 18.614745
},
{
"step": 700,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0884657542544798,
"RMSE": 2.639348967980305,
"R2": -1.080631470653255,
"Memory in Mb": 1.1148195266723633,
"Time in s": 19.813024
},
{
"step": 720,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0667544669913536,
"RMSE": 2.603003384812668,
"R2": -1.0681837571806945,
"Memory in Mb": 1.1698732376098633,
"Time in s": 21.046603
},
{
"step": 740,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0459321867530782,
"RMSE": 2.5682868281355016,
"R2": -1.0121733037883445,
"Memory in Mb": 1.2092561721801758,
"Time in s": 22.315315
},
{
"step": 760,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0276781933457848,
"RMSE": 2.5353029000371494,
"R2": -0.9820644398878616,
"Memory in Mb": 1.2420778274536133,
"Time in s": 23.623046
},
{
"step": 780,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0094276125302497,
"RMSE": 2.50338787783782,
"R2": -0.9411341749539492,
"Memory in Mb": 1.3017473220825195,
"Time in s": 24.968597
},
{
"step": 800,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 1.0023537746213038,
"RMSE": 2.475512975868657,
"R2": -0.9153129864924484,
"Memory in Mb": 1.3318758010864258,
"Time in s": 26.357821
},
{
"step": 820,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9977235614586972,
"RMSE": 2.450813157375169,
"R2": -0.8978992844128302,
"Memory in Mb": 1.3786516189575195,
"Time in s": 27.784762
},
{
"step": 840,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9889333901170724,
"RMSE": 2.4246168260512984,
"R2": -0.8747893145143344,
"Memory in Mb": 1.416356086730957,
"Time in s": 29.251496
},
{
"step": 860,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9712423333697714,
"RMSE": 2.3967734443047704,
"R2": -0.8288218633529623,
"Memory in Mb": 1.4480867385864258,
"Time in s": 30.757563999999995
},
{
"step": 880,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9593965092028914,
"RMSE": 2.3708401769846086,
"R2": -0.7805683851951253,
"Memory in Mb": 1.4688615798950195,
"Time in s": 32.305297
},
{
"step": 900,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9500350341868696,
"RMSE": 2.346029725301664,
"R2": -0.7508441641708208,
"Memory in Mb": 1.3691072463989258,
"Time in s": 33.916341
},
{
"step": 920,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9362562616709212,
"RMSE": 2.321054413049932,
"R2": -0.7419227486050888,
"Memory in Mb": 1.2137422561645508,
"Time in s": 35.592854
},
{
"step": 940,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9293426247327622,
"RMSE": 2.2986373047272863,
"R2": -0.7229310397545319,
"Memory in Mb": 1.2394838333129885,
"Time in s": 37.31016399999999
},
{
"step": 960,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9223382441623138,
"RMSE": 2.2770208564096435,
"R2": -0.7083555493245846,
"Memory in Mb": 1.2827730178833008,
"Time in s": 39.06327099999999
},
{
"step": 980,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9155630176835056,
"RMSE": 2.256277668055956,
"R2": -0.7099489887647161,
"Memory in Mb": 1.2986268997192385,
"Time in s": 40.85878199999999
},
{
"step": 1000,
"track": "Regression",
"model": "Bagging",
"dataset": "TrumpApproval",
"MAE": 0.9044154317407224,
"RMSE": 2.234829366963466,
"R2": -0.7058332444386559,
"Memory in Mb": 1.3350114822387695,
"Time in s": 42.69044199999999
},
{
"step": 11,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 41.63636363636363,
"RMSE": 41.64569169030137,
"R2": -2231.5319148936137,
"Memory in Mb": 0.0524826049804687,
"Time in s": 0.006254
},
{
"step": 22,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 41.31818181818181,
"RMSE": 41.32960638133835,
"R2": -1808.0547045951903,
"Memory in Mb": 0.0595359802246093,
"Time in s": 0.016967
},
{
"step": 33,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 41.12121212121212,
"RMSE": 41.13871582091424,
"R2": -1174.393494897962,
"Memory in Mb": 0.0739974975585937,
"Time in s": 0.032538
},
{
"step": 44,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 41.159090909090914,
"RMSE": 41.17451771534076,
"R2": -1333.7620984139928,
"Memory in Mb": 0.0802268981933593,
"Time in s": 0.0535149999999999
},
{
"step": 55,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 41.5090909090909,
"RMSE": 41.57075020645253,
"R2": -336.3506066081568,
"Memory in Mb": 0.0978660583496093,
"Time in s": 0.0804889999999999
},
{
"step": 66,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 42.681818181818166,
"RMSE": 42.82080349691271,
"R2": -153.29834830483878,
"Memory in Mb": 0.121429443359375,
"Time in s": 0.1147379999999999
},
{
"step": 77,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 43.50649350649351,
"RMSE": 43.70978671356627,
"R2": -106.75487995129542,
"Memory in Mb": 0.1384239196777343,
"Time in s": 0.1574789999999999
},
{
"step": 88,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 44.21590909090909,
"RMSE": 44.43649707984724,
"R2": -99.97346126163,
"Memory in Mb": 0.1540603637695312,
"Time in s": 0.209356
},
{
"step": 99,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 45.05050505050505,
"RMSE": 45.309262771858165,
"R2": -86.8022342468144,
"Memory in Mb": 0.1602935791015625,
"Time in s": 0.271082
},
{
"step": 110,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 46.16363636363636,
"RMSE": 46.52487115902242,
"R2": -63.64797006437341,
"Memory in Mb": 0.164306640625,
"Time in s": 0.3431619999999999
},
{
"step": 121,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 47.21487603305785,
"RMSE": 47.67304278378361,
"R2": -51.27707184490422,
"Memory in Mb": 0.1650009155273437,
"Time in s": 0.4251659999999999
},
{
"step": 132,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 48.29545454545455,
"RMSE": 48.843054157105485,
"R2": -43.84882422437649,
"Memory in Mb": 0.165863037109375,
"Time in s": 0.5168919999999999
},
{
"step": 143,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 49.44055944055945,
"RMSE": 50.100318941519305,
"R2": -37.220279564063546,
"Memory in Mb": 0.1322584152221679,
"Time in s": 0.622087
},
{
"step": 154,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 50.532467532467535,
"RMSE": 51.29137544271156,
"R2": -33.04474826644667,
"Memory in Mb": 0.1404676437377929,
"Time in s": 0.736412
},
{
"step": 165,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 51.690909090909095,
"RMSE": 52.61253451297311,
"R2": -27.795548438273773,
"Memory in Mb": 0.1464834213256836,
"Time in s": 0.8597999999999999
},
{
"step": 176,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 53.00568181818182,
"RMSE": 54.11860921749895,
"R2": -23.566226925646237,
"Memory in Mb": 0.1528844833374023,
"Time in s": 0.99286
},
{
"step": 187,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 54.41176470588235,
"RMSE": 55.733754017636336,
"R2": -20.33250305682894,
"Memory in Mb": 0.1579313278198242,
"Time in s": 1.135584
},
{
"step": 198,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 56.02525252525252,
"RMSE": 57.635786091488654,
"R2": -17.146924852486976,
"Memory in Mb": 0.1600141525268554,
"Time in s": 1.287864
},
{
"step": 209,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 57.5645933014354,
"RMSE": 59.46206220864915,
"R2": -14.922837840066968,
"Memory in Mb": 0.1255407333374023,
"Time in s": 1.454924
},
{
"step": 220,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 58.69090909090908,
"RMSE": 60.81327606250582,
"R2": -13.581197962556498,
"Memory in Mb": 0.1323118209838867,
"Time in s": 1.63074
},
{
"step": 231,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 60.25541125541125,
"RMSE": 62.66764529032318,
"R2": -12.244451024360147,
"Memory in Mb": 0.1370038986206054,
"Time in s": 1.815352
},
{
"step": 242,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 62.17355371900826,
"RMSE": 65.06963847478845,
"R2": -10.489760184397111,
"Memory in Mb": 0.1415891647338867,
"Time in s": 2.009009
},
{
"step": 253,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 63.93675889328063,
"RMSE": 67.17295239601157,
"R2": -9.634560128382748,
"Memory in Mb": 0.1452207565307617,
"Time in s": 2.211595
},
{
"step": 264,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 65.10606060606062,
"RMSE": 68.57980310513724,
"R2": -9.127665748505592,
"Memory in Mb": 0.1458845138549804,
"Time in s": 2.423132
},
{
"step": 275,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 66.61454545454548,
"RMSE": 70.46451073219248,
"R2": -8.408339126213217,
"Memory in Mb": 0.1459379196166992,
"Time in s": 2.643805
},
{
"step": 286,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 68.48951048951052,
"RMSE": 72.8020594498525,
"R2": -7.6983532427125105,
"Memory in Mb": 0.1282644271850586,
"Time in s": 2.877713
},
{
"step": 297,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 70.55218855218858,
"RMSE": 75.3669362796119,
"R2": -7.08492451355157,
"Memory in Mb": 0.1300420761108398,
"Time in s": 3.120317
},
{
"step": 308,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 72.39285714285718,
"RMSE": 77.65033596401675,
"R2": -6.643510181414674,
"Memory in Mb": 0.1343069076538086,
"Time in s": 3.37158
},
{
"step": 319,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 73.45454545454551,
"RMSE": 79.15086186624424,
"R2": -6.206879640065647,
"Memory in Mb": 0.1407041549682617,
"Time in s": 3.631653
},
{
"step": 330,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 75.77878787878792,
"RMSE": 82.20832738177494,
"R2": -5.653192449779911,
"Memory in Mb": 0.1449460983276367,
"Time in s": 3.900744
},
{
"step": 341,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 77.92375366568919,
"RMSE": 84.89106353805269,
"R2": -5.352795814687307,
"Memory in Mb": 0.1466054916381836,
"Time in s": 4.1790140000000005
},
{
"step": 352,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 80.04545454545458,
"RMSE": 87.49376601169416,
"R2": -5.134510311668016,
"Memory in Mb": 0.1466588973999023,
"Time in s": 4.46626
},
{
"step": 363,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 80.99724517906337,
"RMSE": 88.57562798692558,
"R2": -5.105139086016474,
"Memory in Mb": 0.1461553573608398,
"Time in s": 4.762509
},
{
"step": 374,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 82.77807486631018,
"RMSE": 90.83029071422122,
"R2": -4.901675845817959,
"Memory in Mb": 0.1569280624389648,
"Time in s": 5.06867
},
{
"step": 385,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 85.1766233766234,
"RMSE": 93.99517810235533,
"R2": -4.591702735915359,
"Memory in Mb": 0.1629590988159179,
"Time in s": 5.384646
},
{
"step": 396,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 87.26767676767678,
"RMSE": 96.48964983485284,
"R2": -4.494054297851511,
"Memory in Mb": 0.1698560714721679,
"Time in s": 5.710516
},
{
"step": 407,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 89.00737100737103,
"RMSE": 98.71879502607636,
"R2": -4.345544683073043,
"Memory in Mb": 0.1741170883178711,
"Time in s": 6.048375
},
{
"step": 418,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 90.57416267942588,
"RMSE": 100.72635724110243,
"R2": -4.224084264201084,
"Memory in Mb": 0.1756696701049804,
"Time in s": 6.396311
},
{
"step": 429,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 93.12121212121215,
"RMSE": 104.19735398794236,
"R2": -3.967717840349581,
"Memory in Mb": 0.1753263473510742,
"Time in s": 6.754458
},
{
"step": 440,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 95.41818181818184,
"RMSE": 107.03565676064125,
"R2": -3.8710119659250095,
"Memory in Mb": 0.1580381393432617,
"Time in s": 7.124987
},
{
"step": 451,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 97.16629711751663,
"RMSE": 109.07665280092142,
"R2": -3.843505105397095,
"Memory in Mb": 0.1671514511108398,
"Time in s": 7.505263
},
{
"step": 462,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 98.71645021645024,
"RMSE": 111.1763643167196,
"R2": -3.72620239405422,
"Memory in Mb": 0.1737470626831054,
"Time in s": 7.89547
},
{
"step": 473,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 101.54122621564484,
"RMSE": 115.2058457378686,
"R2": -3.48124047566686,
"Memory in Mb": 0.1785993576049804,
"Time in s": 8.295795
},
{
"step": 484,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 103.77066115702482,
"RMSE": 117.90601559037044,
"R2": -3.4365483842712585,
"Memory in Mb": 0.1823682785034179,
"Time in s": 8.706368
},
{
"step": 495,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 106.02424242424244,
"RMSE": 120.71525892518191,
"R2": -3.37467008920777,
"Memory in Mb": 0.1661062240600586,
"Time in s": 9.13027
},
{
"step": 506,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 107.31620553359684,
"RMSE": 122.26004165941237,
"R2": -3.356924458603192,
"Memory in Mb": 0.1709508895874023,
"Time in s": 9.564033
},
{
"step": 517,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 109.39651837524178,
"RMSE": 124.91233289427784,
"R2": -3.291877964737682,
"Memory in Mb": 0.1725950241088867,
"Time in s": 10.007821
},
{
"step": 528,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 112.36553030303028,
"RMSE": 129.1106745698386,
"R2": -3.1225038051323804,
"Memory in Mb": 0.1781835556030273,
"Time in s": 10.461944
},
{
"step": 539,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 114.52504638218922,
"RMSE": 131.65752925403248,
"R2": -3.109734667916423,
"Memory in Mb": 0.1829481124877929,
"Time in s": 10.926196
},
{
"step": 550,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 115.89999999999996,
"RMSE": 133.35909826820617,
"R2": -3.0866973064470367,
"Memory in Mb": 0.1825780868530273,
"Time in s": 11.400602999999998
},
{
"step": 561,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 117.86452762923346,
"RMSE": 135.8046463151548,
"R2": -3.0526234314410727,
"Memory in Mb": 0.1822462081909179,
"Time in s": 11.885435
},
{
"step": 572,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "ChickWeights",
"MAE": 120.54020979020974,
"RMSE": 139.4624607986965,
"R2": -2.953338846956928,
"Memory in Mb": 0.1833868026733398,
"Time in s": 12.380554
},
{
"step": 20,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 43.8732195,
"RMSE": 43.87807788634269,
"R2": -4514.954899312423,
"Memory in Mb": 0.1279449462890625,
"Time in s": 0.015909
},
{
"step": 40,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 42.4932955,
"RMSE": 42.52255283421693,
"R2": -725.9491167623446,
"Memory in Mb": 0.1855659484863281,
"Time in s": 0.053644
},
{
"step": 60,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 42.2167785,
"RMSE": 42.2386240157387,
"R2": -966.0073736019044,
"Memory in Mb": 0.2224998474121093,
"Time in s": 0.118601
},
{
"step": 80,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 41.975705625,
"RMSE": 41.99760868559829,
"R2": -957.9655948743646,
"Memory in Mb": 0.2547683715820312,
"Time in s": 0.215522
},
{
"step": 100,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 41.37550450000001,
"RMSE": 41.410913785433536,
"R2": -583.9966399141301,
"Memory in Mb": 0.2853622436523437,
"Time in s": 0.349036
},
{
"step": 120,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.936110000000006,
"RMSE": 40.97829382197767,
"R2": -484.9611418859003,
"Memory in Mb": 0.2942886352539062,
"Time in s": 0.520816
},
{
"step": 140,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.6885472857143,
"RMSE": 40.72961738075088,
"R2": -495.1050461477588,
"Memory in Mb": 0.2989387512207031,
"Time in s": 0.713599
},
{
"step": 160,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.35105437500001,
"RMSE": 40.39801158334292,
"R2": -429.4078677932073,
"Memory in Mb": 0.2328748703002929,
"Time in s": 0.934381
},
{
"step": 180,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.00981655555555,
"RMSE": 40.06373388340122,
"R2": -370.7794659133543,
"Memory in Mb": 0.2508001327514648,
"Time in s": 1.175315
},
{
"step": 200,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.80633095,
"RMSE": 39.860362966711,
"R2": -368.1089073295326,
"Memory in Mb": 0.1596212387084961,
"Time in s": 1.445583
},
{
"step": 220,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.727043136363626,
"RMSE": 39.77723500009918,
"R2": -395.5019807293188,
"Memory in Mb": 0.1831541061401367,
"Time in s": 1.734898
},
{
"step": 240,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.56323079166665,
"RMSE": 39.61325406766278,
"R2": -395.19837684116754,
"Memory in Mb": 0.1905164718627929,
"Time in s": 2.043551
},
{
"step": 260,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.42014538461535,
"RMSE": 39.46968290441584,
"R2": -397.63185900832246,
"Memory in Mb": 0.2020750045776367,
"Time in s": 2.371621
},
{
"step": 280,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.33200189285712,
"RMSE": 39.37942345737111,
"R2": -414.4560159350036,
"Memory in Mb": 0.2260313034057617,
"Time in s": 2.720012
},
{
"step": 300,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.18435719999999,
"RMSE": 39.23275803924839,
"R2": -404.5402138221895,
"Memory in Mb": 0.2437810897827148,
"Time in s": 3.088623
},
{
"step": 320,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.13568690624999,
"RMSE": 39.1818628962716,
"R2": -423.5167725219512,
"Memory in Mb": 0.2581815719604492,
"Time in s": 3.477665
},
{
"step": 340,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.14620944117645,
"RMSE": 39.18989510023786,
"R2": -447.7943063391533,
"Memory in Mb": 0.2493734359741211,
"Time in s": 3.892527
},
{
"step": 360,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.24072974999997,
"RMSE": 39.28395553300239,
"R2": -453.6543473793619,
"Memory in Mb": 0.2643537521362304,
"Time in s": 4.328145999999999
},
{
"step": 380,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.29597665789471,
"RMSE": 39.33769921546023,
"R2": -470.6701690846498,
"Memory in Mb": 0.2747945785522461,
"Time in s": 4.784845
},
{
"step": 400,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.35730624999997,
"RMSE": 39.39781946688104,
"R2": -485.4842825426507,
"Memory in Mb": 0.2898855209350586,
"Time in s": 5.262664
},
{
"step": 420,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.40549083333331,
"RMSE": 39.44465897881697,
"R2": -502.7799504226928,
"Memory in Mb": 0.2975950241088867,
"Time in s": 5.761624
},
{
"step": 440,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.49730674999998,
"RMSE": 39.53710368662846,
"R2": -495.9856416828035,
"Memory in Mb": 0.3090314865112304,
"Time in s": 6.281948
},
{
"step": 460,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.61474728260867,
"RMSE": 39.65658853240579,
"R2": -473.14358309219216,
"Memory in Mb": 0.3255758285522461,
"Time in s": 6.824272
},
{
"step": 480,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.71032456249997,
"RMSE": 39.75304758270976,
"R2": -464.4916761787406,
"Memory in Mb": 0.3411321640014648,
"Time in s": 7.389190999999999
},
{
"step": 500,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.80313951999997,
"RMSE": 39.84667590965187,
"R2": -456.8750824508669,
"Memory in Mb": 0.2797002792358398,
"Time in s": 7.981206999999999
},
{
"step": 520,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.87354713461536,
"RMSE": 39.916931033645376,
"R2": -459.2932847271911,
"Memory in Mb": 0.2906713485717773,
"Time in s": 8.594204
},
{
"step": 540,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.94649651851849,
"RMSE": 39.98996046818772,
"R2": -459.28610565666287,
"Memory in Mb": 0.2965841293334961,
"Time in s": 9.232432
},
{
"step": 560,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 39.97606614285712,
"RMSE": 40.018487723609816,
"R2": -470.926187706672,
"Memory in Mb": 0.3019857406616211,
"Time in s": 9.891908
},
{
"step": 580,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.00338510344825,
"RMSE": 40.044755101652726,
"R2": -483.2331705341176,
"Memory in Mb": 0.3056249618530273,
"Time in s": 10.572818
},
{
"step": 600,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.07393431666663,
"RMSE": 40.11569326301364,
"R2": -479.5746686678817,
"Memory in Mb": 0.3106412887573242,
"Time in s": 11.275213
},
{
"step": 620,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.1459417741935,
"RMSE": 40.18827077358568,
"R2": -473.96334667177865,
"Memory in Mb": 0.3147268295288086,
"Time in s": 11.999135999999998
},
{
"step": 640,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.21943815624997,
"RMSE": 40.26249426545423,
"R2": -466.8085709746123,
"Memory in Mb": 0.3194303512573242,
"Time in s": 12.744586999999996
},
{
"step": 660,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.28296777272724,
"RMSE": 40.32626722721455,
"R2": -464.9172853497744,
"Memory in Mb": 0.3247060775756836,
"Time in s": 13.511768999999996
},
{
"step": 680,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.31998279411761,
"RMSE": 40.36256991107017,
"R2": -473.1325264408024,
"Memory in Mb": 0.3289289474487304,
"Time in s": 14.300919999999998
},
{
"step": 700,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.31359012857138,
"RMSE": 40.35509446667054,
"R2": -485.40526703956544,
"Memory in Mb": 0.2762861251831054,
"Time in s": 15.116749
},
{
"step": 720,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.31730695833329,
"RMSE": 40.357915759594896,
"R2": -496.1610725544049,
"Memory in Mb": 0.2866239547729492,
"Time in s": 15.953537
},
{
"step": 740,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.36653568918915,
"RMSE": 40.40711941642496,
"R2": -497.0742803710164,
"Memory in Mb": 0.2274045944213867,
"Time in s": 16.820776
},
{
"step": 760,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.40314367105261,
"RMSE": 40.443256311482514,
"R2": -503.3712175162706,
"Memory in Mb": 0.2380895614624023,
"Time in s": 17.708028
},
{
"step": 780,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.44545064102563,
"RMSE": 40.48534274444009,
"R2": -506.6856716110208,
"Memory in Mb": 0.2534551620483398,
"Time in s": 18.615628
},
{
"step": 800,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.47854825,
"RMSE": 40.518050685964006,
"R2": -512.1052117095793,
"Memory in Mb": 0.2672185897827148,
"Time in s": 19.543925
},
{
"step": 820,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.50894034146341,
"RMSE": 40.5479845946661,
"R2": -518.5068774177179,
"Memory in Mb": 0.2752447128295898,
"Time in s": 20.493024
},
{
"step": 840,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.5406558690476,
"RMSE": 40.57931089736599,
"R2": -524.140575335229,
"Memory in Mb": 0.2841558456420898,
"Time in s": 21.463054
},
{
"step": 860,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.58371181395347,
"RMSE": 40.62239247493601,
"R2": -524.3496319016275,
"Memory in Mb": 0.2900037765502929,
"Time in s": 22.454245
},
{
"step": 880,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.62855514772725,
"RMSE": 40.66738601007716,
"R2": -522.897851512946,
"Memory in Mb": 0.2707319259643554,
"Time in s": 23.471721
},
{
"step": 900,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.664104233333326,
"RMSE": 40.702738445808535,
"R2": -526.020768835918,
"Memory in Mb": 0.2802000045776367,
"Time in s": 24.510012
},
{
"step": 920,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.68274704347825,
"RMSE": 40.72073961991632,
"R2": -535.1540147256861,
"Memory in Mb": 0.2901716232299804,
"Time in s": 25.569536
},
{
"step": 940,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.70972619148935,
"RMSE": 40.74737437775791,
"R2": -540.4099749760601,
"Memory in Mb": 0.2975721359252929,
"Time in s": 26.655616
},
{
"step": 960,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.73400636458332,
"RMSE": 40.771242977826994,
"R2": -546.7118652484228,
"Memory in Mb": 0.3080549240112304,
"Time in s": 27.763054
},
{
"step": 980,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.74031829795916,
"RMSE": 40.77684015923968,
"R2": -557.5026042066913,
"Memory in Mb": 0.3134031295776367,
"Time in s": 28.892281
},
{
"step": 1000,
"track": "Regression",
"model": "Exponentially Weighted Average",
"dataset": "TrumpApproval",
"MAE": 40.75359492299998,
"RMSE": 40.78950075300399,
"R2": -567.2567645513548,
"Memory in Mb": 0.3166418075561523,
"Time in s": 30.043213999999995
},
{
"step": 11,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 41.63636363636363,
"RMSE": 41.64569169030137,
"R2": -2231.5319148936137,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.028772
},
{
"step": 22,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 41.31818181818181,
"RMSE": 41.32960638133835,
"R2": -1808.0547045951903,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.079044
},
{
"step": 33,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 41.12121212121212,
"RMSE": 41.13871582091424,
"R2": -1174.393494897962,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.149857
},
{
"step": 44,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 41.159090909090914,
"RMSE": 41.17451771534076,
"R2": -1333.7620984139928,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.237747
},
{
"step": 55,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 41.5090909090909,
"RMSE": 41.57075020645253,
"R2": -336.3506066081568,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.338425
},
{
"step": 66,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 42.681818181818166,
"RMSE": 42.82080349691271,
"R2": -153.29834830483878,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.452041
},
{
"step": 77,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 43.46441536424646,
"RMSE": 43.6630525281676,
"R2": -106.5245816691109,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.578307
},
{
"step": 88,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 43.36686847531974,
"RMSE": 43.58986852756654,
"R2": -96.16251088961316,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.71715
},
{
"step": 99,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 39.3777319762956,
"RMSE": 41.29293125499619,
"R2": -71.92610223487543,
"Memory in Mb": 0.0121526718139648,
"Time in s": 0.8686729999999999
},
{
"step": 110,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 36.38865389064824,
"RMSE": 39.46494228501369,
"R2": -45.51654802750055,
"Memory in Mb": 0.0121526718139648,
"Time in s": 1.032976
},
{
"step": 121,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 33.47571311046551,
"RMSE": 37.6638192516392,
"R2": -31.6297858502766,
"Memory in Mb": 0.0121526718139648,
"Time in s": 1.209623
},
{
"step": 132,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 30.829458151969483,
"RMSE": 36.06523958622657,
"R2": -23.452489437409387,
"Memory in Mb": 0.0121526718139648,
"Time in s": 1.398231
},
{
"step": 143,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 28.6940047418964,
"RMSE": 34.66464981164902,
"R2": -17.297279097398025,
"Memory in Mb": 0.0121526718139648,
"Time in s": 1.59888
},
{
"step": 154,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 26.901670019158168,
"RMSE": 33.42439644535526,
"R2": -13.457346308406352,
"Memory in Mb": 0.0121526718139648,
"Time in s": 1.811498
},
{
"step": 165,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 25.73601455188179,
"RMSE": 32.42918896219868,
"R2": -9.940044331027543,
"Memory in Mb": 0.0121526718139648,
"Time in s": 2.036514
},
{
"step": 176,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 24.44416894616589,
"RMSE": 31.465121114844862,
"R2": -7.304318935113031,
"Memory in Mb": 0.0121526718139648,
"Time in s": 2.273516
},
{
"step": 187,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 23.31106527863985,
"RMSE": 30.560727675640003,
"R2": -5.414053903472148,
"Memory in Mb": 0.0121526718139648,
"Time in s": 2.522216
},
{
"step": 198,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 22.2497659881735,
"RMSE": 29.72926965926448,
"R2": -3.828220321961205,
"Memory in Mb": 0.0121526718139648,
"Time in s": 2.782587
},
{
"step": 209,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.58385771370322,
"RMSE": 29.10991604615937,
"R2": -2.8161237021822814,
"Memory in Mb": 0.0121526718139648,
"Time in s": 3.05463
},
{
"step": 220,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.489125733317938,
"RMSE": 28.89967848441583,
"R2": -2.2929294700983545,
"Memory in Mb": 0.0121526718139648,
"Time in s": 3.338483
},
{
"step": 231,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.96077526896472,
"RMSE": 28.36167354440183,
"R2": -1.7127571457874735,
"Memory in Mb": 0.0121526718139648,
"Time in s": 3.633999
},
{
"step": 242,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.684837308385998,
"RMSE": 27.97322591752617,
"R2": -1.123436519018493,
"Memory in Mb": 0.0121526718139648,
"Time in s": 3.941181
},
{
"step": 253,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.10836609318901,
"RMSE": 27.433189641281587,
"R2": -0.7737126718723288,
"Memory in Mb": 0.0121526718139648,
"Time in s": 4.259926
},
{
"step": 264,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.477468707260805,
"RMSE": 27.77140109557264,
"R2": -0.6607814047377214,
"Memory in Mb": 0.012312889099121,
"Time in s": 4.590346
},
{
"step": 275,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.61134029899391,
"RMSE": 28.056502395486245,
"R2": -0.491554549366604,
"Memory in Mb": 0.012312889099121,
"Time in s": 4.932228
},
{
"step": 286,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.562403371381592,
"RMSE": 27.861367163045813,
"R2": -0.2739563786996055,
"Memory in Mb": 0.012312889099121,
"Time in s": 5.285550000000001
},
{
"step": 297,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.2802158532438,
"RMSE": 27.63742758295081,
"R2": -0.0872000961905188,
"Memory in Mb": 0.012312889099121,
"Time in s": 5.650314000000001
},
{
"step": 308,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 20.449355350398,
"RMSE": 27.920149137510645,
"R2": 0.0118073081415535,
"Memory in Mb": 0.012312889099121,
"Time in s": 6.026518000000001
},
{
"step": 319,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.50134169290969,
"RMSE": 30.009678165732637,
"R2": -0.0359973595319296,
"Memory in Mb": 0.012312889099121,
"Time in s": 6.414170000000001
},
{
"step": 330,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.657358056011915,
"RMSE": 30.050226639054536,
"R2": 0.1110159573580076,
"Memory in Mb": 0.012312889099121,
"Time in s": 6.813245000000001
},
{
"step": 341,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.886687938329302,
"RMSE": 30.333453058468624,
"R2": 0.1888808568866784,
"Memory in Mb": 0.012312889099121,
"Time in s": 7.223789000000001
},
{
"step": 352,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 21.886047000767118,
"RMSE": 30.34044931799507,
"R2": 0.2623171341711791,
"Memory in Mb": 0.012312889099121,
"Time in s": 7.645758000000001
},
{
"step": 363,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 22.895757506339034,
"RMSE": 32.0447958992957,
"R2": 0.2009350122171253,
"Memory in Mb": 0.012312889099121,
"Time in s": 8.07951
},
{
"step": 374,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 23.75249563906416,
"RMSE": 33.838912051163845,
"R2": 0.1808815149406113,
"Memory in Mb": 0.012312889099121,
"Time in s": 8.524693000000001
},
{
"step": 385,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 24.560900349589296,
"RMSE": 34.753482086388026,
"R2": 0.2355843412503995,
"Memory in Mb": 0.012312889099121,
"Time in s": 8.981311000000002
},
{
"step": 396,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 24.352453583923488,
"RMSE": 34.473609026370774,
"R2": 0.2986981406442135,
"Memory in Mb": 0.012312889099121,
"Time in s": 9.449373
},
{
"step": 407,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 25.719275464870663,
"RMSE": 37.04357441923364,
"R2": 0.2473067090757558,
"Memory in Mb": 0.012312889099121,
"Time in s": 9.928858000000002
},
{
"step": 418,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 27.096550121003176,
"RMSE": 39.902565812758986,
"R2": 0.1801666848023049,
"Memory in Mb": 0.012312889099121,
"Time in s": 10.419752000000004
},
{
"step": 429,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 28.343681876579897,
"RMSE": 42.0624752869508,
"R2": 0.1904695440990398,
"Memory in Mb": 0.012312889099121,
"Time in s": 10.922067000000002
},
{
"step": 440,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 29.341897763641,
"RMSE": 43.65194027092424,
"R2": 0.1898427093039769,
"Memory in Mb": 0.012312889099121,
"Time in s": 11.435807000000002
},
{
"step": 451,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 30.67273802938304,
"RMSE": 45.6370688200433,
"R2": 0.1521253661768283,
"Memory in Mb": 0.012312889099121,
"Time in s": 11.960959000000004
},
{
"step": 462,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 32.56224145473062,
"RMSE": 49.915337115223885,
"R2": 0.0473016837570096,
"Memory in Mb": 0.012312889099121,
"Time in s": 12.497734000000005
},
{
"step": 473,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 34.43415680949522,
"RMSE": 53.78695495416363,
"R2": 0.0232056621878617,
"Memory in Mb": 0.012312889099121,
"Time in s": 13.045956000000004
},
{
"step": 484,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 37.59302308486845,
"RMSE": 59.43178585545712,
"R2": -0.1272256336981969,
"Memory in Mb": 0.012312889099121,
"Time in s": 13.605608000000004
},
{
"step": 495,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 39.81029832190851,
"RMSE": 63.2563754686467,
"R2": -0.2012394142017446,
"Memory in Mb": 0.012312889099121,
"Time in s": 14.176690000000004
},
{
"step": 506,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 40.81849028215024,
"RMSE": 64.7117163856453,
"R2": -0.2206096222811289,
"Memory in Mb": 0.012312889099121,
"Time in s": 14.759208000000005
},
{
"step": 517,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 42.30053541895924,
"RMSE": 66.69347450894223,
"R2": -0.2234984190364006,
"Memory in Mb": 0.012312889099121,
"Time in s": 15.353157000000005
},
{
"step": 528,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 43.87998520264807,
"RMSE": 69.22658128427689,
"R2": -0.1851751428384946,
"Memory in Mb": 0.012312889099121,
"Time in s": 15.958328000000003
},
{
"step": 539,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 45.090482136166365,
"RMSE": 70.91807128614899,
"R2": -0.1924391171188431,
"Memory in Mb": 0.012312889099121,
"Time in s": 16.574693000000003
},
{
"step": 550,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 46.16603381063717,
"RMSE": 72.79977252028388,
"R2": -0.2178315347358042,
"Memory in Mb": 0.012312889099121,
"Time in s": 17.202244000000004
},
{
"step": 561,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 47.99895001321041,
"RMSE": 75.49864048778444,
"R2": -0.2525216922711382,
"Memory in Mb": 0.012312889099121,
"Time in s": 17.841166000000005
},
{
"step": 572,
"track": "Regression",
"model": "River MLP",
"dataset": "ChickWeights",
"MAE": 49.57826542612398,
"RMSE": 77.90262570405233,
"R2": -0.2335409846027114,
"Memory in Mb": 0.012312889099121,
"Time in s": 18.491295000000004
},
{
"step": 20,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 30.45103241731707,
"RMSE": 33.23585723529438,
"R2": -2590.0045530336465,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.03648
},
{
"step": 40,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 18.3406114455606,
"RMSE": 24.1628558112126,
"R2": -233.72636807636488,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.100456
},
{
"step": 60,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 14.012302795940927,
"RMSE": 20.27429916426714,
"R2": -221.7932161673039,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.190991
},
{
"step": 80,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 11.49107264681655,
"RMSE": 17.720640796103456,
"R2": -169.73114207921216,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.307239
},
{
"step": 100,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 9.726608796116103,
"RMSE": 15.913172800750536,
"R2": -85.38479390162912,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.4491740000000001
},
{
"step": 120,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 8.642897473622819,
"RMSE": 14.610205599232696,
"R2": -60.77410396737057,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.6162740000000001
},
{
"step": 140,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 7.627861449957184,
"RMSE": 13.547130531753504,
"R2": -53.88423494401591,
"Memory in Mb": 0.0131101608276367,
"Time in s": 0.8076440000000001
},
{
"step": 160,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 6.825616478903957,
"RMSE": 12.68640242718137,
"R2": -41.44604107616888,
"Memory in Mb": 0.0131101608276367,
"Time in s": 1.023068
},
{
"step": 180,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 6.298325880816026,
"RMSE": 11.99455373608459,
"R2": -32.32351025206219,
"Memory in Mb": 0.0131101608276367,
"Time in s": 1.262663
},
{
"step": 200,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 5.791221405645649,
"RMSE": 11.389261045241726,
"R2": -29.134439780883504,
"Memory in Mb": 0.0131101608276367,
"Time in s": 1.526002
},
{
"step": 220,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 5.429217208457164,
"RMSE": 10.877504011291329,
"R2": -28.650681734644422,
"Memory in Mb": 0.0131101608276367,
"Time in s": 1.812923
},
{
"step": 240,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 5.060396678997669,
"RMSE": 10.421476408956162,
"R2": -26.4214333861576,
"Memory in Mb": 0.0131101608276367,
"Time in s": 2.123256
},
{
"step": 260,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 4.7577579662422185,
"RMSE": 10.01970369652003,
"R2": -24.68943115642662,
"Memory in Mb": 0.013350486755371,
"Time in s": 2.456738
},
{
"step": 280,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 4.47898479527949,
"RMSE": 9.659781964354623,
"R2": -23.99890538466576,
"Memory in Mb": 0.013350486755371,
"Time in s": 2.813161
},
{
"step": 300,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 4.231628573868652,
"RMSE": 9.33546881214548,
"R2": -21.961936464609707,
"Memory in Mb": 0.013350486755371,
"Time in s": 3.192823
},
{
"step": 320,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 4.032288217093912,
"RMSE": 9.046394584789834,
"R2": -21.629541054113563,
"Memory in Mb": 0.013350486755371,
"Time in s": 3.5954460000000004
},
{
"step": 340,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.8351551756309497,
"RMSE": 8.779241117397504,
"R2": -21.522318216666985,
"Memory in Mb": 0.013350486755371,
"Time in s": 4.021045
},
{
"step": 360,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.660607443401045,
"RMSE": 8.536652519215579,
"R2": -20.469707840891584,
"Memory in Mb": 0.013350486755371,
"Time in s": 4.469678
},
{
"step": 380,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.505270605120577,
"RMSE": 8.311598150636895,
"R2": -20.056664379019765,
"Memory in Mb": 0.013350486755371,
"Time in s": 4.941134
},
{
"step": 400,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.360453882251005,
"RMSE": 8.10307441673556,
"R2": -19.578991923208985,
"Memory in Mb": 0.013350486755371,
"Time in s": 5.435716
},
{
"step": 420,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.230603986740656,
"RMSE": 7.909485894846834,
"R2": -19.256340082684435,
"Memory in Mb": 0.013350486755371,
"Time in s": 5.953156
},
{
"step": 440,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.1198347345540465,
"RMSE": 7.731010347257149,
"R2": -18.002320884204543,
"Memory in Mb": 0.013350486755371,
"Time in s": 6.493473
},
{
"step": 460,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 3.010353198494384,
"RMSE": 7.562877110682495,
"R2": -16.244605442867506,
"Memory in Mb": 0.013350486755371,
"Time in s": 7.056611999999999
},
{
"step": 480,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.9023580604284582,
"RMSE": 7.404341650720478,
"R2": -15.148937801753288,
"Memory in Mb": 0.013350486755371,
"Time in s": 7.642589999999999
},
{
"step": 500,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.8120368518109427,
"RMSE": 7.256642134427339,
"R2": -14.185679409391112,
"Memory in Mb": 0.013350486755371,
"Time in s": 8.251631
},
{
"step": 520,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.722217494708863,
"RMSE": 7.11705765703134,
"R2": -13.632593906904136,
"Memory in Mb": 0.013350486755371,
"Time in s": 8.883484
},
{
"step": 540,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.6379600337769933,
"RMSE": 6.984812005374008,
"R2": -13.042206620144157,
"Memory in Mb": 0.013350486755371,
"Time in s": 9.537691
},
{
"step": 560,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.573532085936036,
"RMSE": 6.862931118690264,
"R2": -12.879442173523902,
"Memory in Mb": 0.013350486755371,
"Time in s": 10.214296
},
{
"step": 580,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.508294944253365,
"RMSE": 6.745457437445754,
"R2": -12.739978855164816,
"Memory in Mb": 0.013350486755371,
"Time in s": 10.913296
},
{
"step": 600,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.4431260057234407,
"RMSE": 6.633435680824833,
"R2": -12.140422111767563,
"Memory in Mb": 0.013350486755371,
"Time in s": 11.634954
},
{
"step": 620,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.386700775516181,
"RMSE": 6.528113194197335,
"R2": -11.53247390884172,
"Memory in Mb": 0.013350486755371,
"Time in s": 12.379039999999998
},
{
"step": 640,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.3242014075410804,
"RMSE": 6.426013651213371,
"R2": -10.916538218303476,
"Memory in Mb": 0.013350486755371,
"Time in s": 13.145560999999995
},
{
"step": 660,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.2685968162113417,
"RMSE": 6.328883008296775,
"R2": -10.475904112331508,
"Memory in Mb": 0.013350486755371,
"Time in s": 13.934486999999995
},
{
"step": 680,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.2077966601853354,
"RMSE": 6.235306598260896,
"R2": -10.31508330333358,
"Memory in Mb": 0.013350486755371,
"Time in s": 14.745848999999998
},
{
"step": 700,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.1581493026656715,
"RMSE": 6.146460408814674,
"R2": -10.283704638807178,
"Memory in Mb": 0.013350486755371,
"Time in s": 15.579853999999996
},
{
"step": 720,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.1027567473920863,
"RMSE": 6.060643545524585,
"R2": -10.211846444382044,
"Memory in Mb": 0.013350486755371,
"Time in s": 16.436290999999997
},
{
"step": 740,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.051121816682194,
"RMSE": 5.978350933609188,
"R2": -9.90287777753909,
"Memory in Mb": 0.013350486755371,
"Time in s": 17.315177999999996
},
{
"step": 760,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 2.003155134641025,
"RMSE": 5.899358540561457,
"R2": -9.731678337792127,
"Memory in Mb": 0.013350486755371,
"Time in s": 18.216514
},
{
"step": 780,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.9581628436412764,
"RMSE": 5.823548668044576,
"R2": -9.504483044737295,
"Memory in Mb": 0.013350486755371,
"Time in s": 19.140319
},
{
"step": 800,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.920522972774301,
"RMSE": 5.751090425279772,
"R2": -9.337362153707344,
"Memory in Mb": 0.013350486755371,
"Time in s": 20.086783
},
{
"step": 820,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.884378546616626,
"RMSE": 5.681435320930898,
"R2": -9.199265318679966,
"Memory in Mb": 0.013350486755371,
"Time in s": 21.055682
},
{
"step": 840,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.8462172344878476,
"RMSE": 5.613649762186833,
"R2": -9.049787223051387,
"Memory in Mb": 0.013350486755371,
"Time in s": 22.047027
},
{
"step": 860,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.8114873001009923,
"RMSE": 5.548504609880171,
"R2": -8.800976301633217,
"Memory in Mb": 0.013350486755371,
"Time in s": 23.060786
},
{
"step": 880,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.7737427907909609,
"RMSE": 5.485176730961097,
"R2": -8.530931568707373,
"Memory in Mb": 0.013350486755371,
"Time in s": 24.096958
},
{
"step": 900,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.7378742216236305,
"RMSE": 5.423968591721732,
"R2": -8.358684442608821,
"Memory in Mb": 0.013350486755371,
"Time in s": 25.155795
},
{
"step": 920,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.7058202733924563,
"RMSE": 5.364926267836746,
"R2": -8.30648673172487,
"Memory in Mb": 0.013350486755371,
"Time in s": 26.237104
},
{
"step": 940,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.6771033983092818,
"RMSE": 5.307938337650396,
"R2": -8.187106100071555,
"Memory in Mb": 0.013350486755371,
"Time in s": 27.340904
},
{
"step": 960,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.6470899020587193,
"RMSE": 5.252615019014566,
"R2": -8.09065943244505,
"Memory in Mb": 0.013350486755371,
"Time in s": 28.467203
},
{
"step": 980,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.6179664800066769,
"RMSE": 5.198922142498095,
"R2": -8.078721464420347,
"Memory in Mb": 0.013350486755371,
"Time in s": 29.615952
},
{
"step": 1000,
"track": "Regression",
"model": "River MLP",
"dataset": "TrumpApproval",
"MAE": 1.591389315944533,
"RMSE": 5.1470018023734205,
"R2": -8.048080908594342,
"Memory in Mb": 0.013350486755371,
"Time in s": 30.787287
},
{
"step": 11,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 4.664574314574316,
"RMSE": 12.7079745317607,
"R2": -206.87879383707747,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.002154
},
{
"step": 22,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 2.767694704637076,
"RMSE": 9.018587183866767,
"R2": -85.14025986830408,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.005944
},
{
"step": 33,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 2.3093367298127023,
"RMSE": 7.420500566500976,
"R2": -37.24267181629702,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.010037
},
{
"step": 44,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 1.892363968348808,
"RMSE": 6.441521936619904,
"R2": -31.668094594906044,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.014469
},
{
"step": 55,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 2.1129412159858934,
"RMSE": 6.114058653243701,
"R2": -6.297346571779499,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.019181
},
{
"step": 66,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 2.832849782567835,
"RMSE": 6.236602142425367,
"R2": -2.2730130120415795,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.024182
},
{
"step": 77,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 3.4069290990236856,
"RMSE": 6.402381882180361,
"R2": -1.3118663438824,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.029453
},
{
"step": 88,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 3.650377971160808,
"RMSE": 6.321189272940957,
"R2": -1.043267371916866,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.034986
},
{
"step": 99,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 4.035631404360372,
"RMSE": 6.4483291916176695,
"R2": -0.7783857772357967,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.040781
},
{
"step": 110,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 4.693189868957898,
"RMSE": 7.0697740144659305,
"R2": -0.4927792786841307,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.046845
},
{
"step": 121,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 5.274396860168236,
"RMSE": 7.6542276724395,
"R2": -0.3476225254437259,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.053171
},
{
"step": 132,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 5.875758254207378,
"RMSE": 8.194624755054596,
"R2": -0.2624191661321591,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.05976
},
{
"step": 143,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 6.530760796045927,
"RMSE": 8.870097879563003,
"R2": -0.1980355424044948,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.066612
},
{
"step": 154,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 7.121466111912466,
"RMSE": 9.458403141043558,
"R2": -0.1577027852151795,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.073726
},
{
"step": 165,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 7.772438504082036,
"RMSE": 10.375670403553157,
"R2": -0.1198999930450892,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.081109
},
{
"step": 176,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 8.565827130563894,
"RMSE": 11.410434180005833,
"R2": -0.0920676568626532,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.088752
},
{
"step": 187,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 9.429958588641576,
"RMSE": 12.495061319237752,
"R2": -0.0722153171628203,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.096665
},
{
"step": 198,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 10.47731537859646,
"RMSE": 13.900491647656429,
"R2": -0.0555502703757588,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.104851
},
{
"step": 209,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 11.43172675762076,
"RMSE": 15.229123619635446,
"R2": -0.0444565128716372,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.1133
},
{
"step": 220,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 11.97432098008114,
"RMSE": 16.22368260926648,
"R2": -0.0377560869847111,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.122025
},
{
"step": 231,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 12.9382196746461,
"RMSE": 17.489503190785292,
"R2": -0.0315781972827118,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.131017
},
{
"step": 242,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 14.229204186206864,
"RMSE": 19.43725798629848,
"R2": -0.0252367718674193,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.140272
},
{
"step": 253,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 15.339413196393396,
"RMSE": 20.82023831254592,
"R2": -0.0216497893038387,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.149788
},
{
"step": 264,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 15.948617107030818,
"RMSE": 21.75817315507082,
"R2": -0.0194401851240946,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.159572
},
{
"step": 275,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 16.794155127707494,
"RMSE": 23.16724301729152,
"R2": -0.0169996193237813,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.169617
},
{
"step": 286,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 17.990009992534457,
"RMSE": 24.865985915258104,
"R2": -0.0147547133955299,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.17992
},
{
"step": 297,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 19.34919450213405,
"RMSE": 26.67620929760368,
"R2": -0.0128904565600072,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.190491
},
{
"step": 308,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 20.46881241431745,
"RMSE": 28.248013022827838,
"R2": -0.011537481517321,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.201321
},
{
"step": 319,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 20.993702124162965,
"RMSE": 29.63814114349949,
"R2": -0.0105036731193923,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.212414
},
{
"step": 330,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 22.586872779548436,
"RMSE": 32.01796640002603,
"R2": -0.0092202379520505,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.223765
},
{
"step": 341,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 23.97345887210737,
"RMSE": 33.821533603903084,
"R2": -0.0083877019037323,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.235368
},
{
"step": 352,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 25.315991788770976,
"RMSE": 35.461698606860665,
"R2": -0.0077313021586467,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.247225
},
{
"step": 363,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 25.615062978866305,
"RMSE": 35.981300981590465,
"R2": -0.0074437490312051,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.259337
},
{
"step": 374,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 26.673321526932543,
"RMSE": 37.51836715700961,
"R2": -0.0069358461242559,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.271713
},
{
"step": 385,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 28.27694482780972,
"RMSE": 39.8753298933956,
"R2": -0.0063325109838794,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.2843549999999999
},
{
"step": 396,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 29.55612496209691,
"RMSE": 41.28848705945016,
"R2": -0.0059801818919071,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.2972059999999999
},
{
"step": 407,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 30.56167711268285,
"RMSE": 42.81802042618151,
"R2": -0.0056467231500465,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3102509999999999
},
{
"step": 418,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 31.39346669137945,
"RMSE": 44.18765357092498,
"R2": -0.0053697143301307,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3234889999999999
},
{
"step": 429,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 33.10612890637694,
"RMSE": 46.865579751152914,
"R2": -0.0049663660706051,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3369199999999999
},
{
"step": 440,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 34.54914638861108,
"RMSE": 48.61167278858254,
"R2": -0.0047161238549726,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3505489999999999
},
{
"step": 451,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 35.43263419295921,
"RMSE": 49.67507127970072,
"R2": -0.0045536938071879,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3643729999999999
},
{
"step": 462,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 36.308550382896186,
"RMSE": 51.2507761435036,
"R2": -0.0043573774895468,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3783909999999999
},
{
"step": 473,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 38.26330298063241,
"RMSE": 54.53225049728104,
"R2": -0.0040516612048955,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.3926029999999999
},
{
"step": 484,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 39.59866234800828,
"RMSE": 56.08659790201894,
"R2": -0.0039023944795495,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4070059999999999
},
{
"step": 495,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 40.94697327298068,
"RMSE": 57.823326559810994,
"R2": -0.0037535911132069,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4215999999999999
},
{
"step": 506,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 41.42384714758024,
"RMSE": 58.67984594201592,
"R2": -0.0036652347211194,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4363849999999999
},
{
"step": 517,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 42.72663002099646,
"RMSE": 60.40151056768402,
"R2": -0.0035345422299792,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4513639999999999
},
{
"step": 528,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 44.77321528369677,
"RMSE": 63.69509749878913,
"R2": -0.0033415055563215,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4665329999999999
},
{
"step": 539,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 45.99579764939489,
"RMSE": 65.0494992510053,
"R2": -0.003252609562637,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4818929999999999
},
{
"step": 550,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 46.57020777663759,
"RMSE": 66.07332710234044,
"R2": -0.0031815200825582,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.4974459999999999
},
{
"step": 561,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 47.75825760640621,
"RMSE": 67.5643396193493,
"R2": -0.0030950009187136,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.5131919999999999
},
{
"step": 572,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "ChickWeights",
"MAE": 49.49138874897682,
"RMSE": 70.24569214117749,
"R2": -0.0029719424061886,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.5291269999999999
},
{
"step": 20,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 2.695184981652336,
"RMSE": 9.807184976514188,
"R2": -224.6021011118197,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.003379
},
{
"step": 40,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 2.3994713447037435,
"RMSE": 7.102066178895935,
"R2": -19.27845129783118,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0081789999999999
},
{
"step": 60,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.8170744682035584,
"RMSE": 5.815253847056423,
"R2": -17.329373299766118,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0135909999999999
},
{
"step": 80,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.604995404573344,
"RMSE": 5.081770494168446,
"R2": -13.040545957103586,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0195849999999999
},
{
"step": 100,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.824259078948539,
"RMSE": 4.70488333223354,
"R2": -6.5512954222403845,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0262549999999999
},
{
"step": 120,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.918744608116588,
"RMSE": 4.412336880489357,
"R2": -4.634185300646759,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.033502
},
{
"step": 140,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.8761207739327503,
"RMSE": 4.13187920011476,
"R2": -4.105616799680584,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.041316
},
{
"step": 160,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.961232939518506,
"RMSE": 3.976173487274506,
"R2": -3.1695661963674864,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0496949999999999
},
{
"step": 180,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 2.066134597500757,
"RMSE": 3.873731518767916,
"R2": -2.4756944369169624,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0586379999999999
},
{
"step": 200,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 2.051125997923389,
"RMSE": 3.731810291394655,
"R2": -2.23527456693896,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.0682329999999999
},
{
"step": 220,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.94095193468414,
"RMSE": 3.56902990398404,
"R2": -2.19210047340805,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.078397
},
{
"step": 240,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.9366756524315063,
"RMSE": 3.4612902974772624,
"R2": -2.024876884626847,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.089124
},
{
"step": 260,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.9250039777458068,
"RMSE": 3.363327951159923,
"R2": -1.8945640461454525,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.1004139999999999
},
{
"step": 280,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.8726934920539136,
"RMSE": 3.257010428159885,
"R2": -1.8420037280027224,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.11227
},
{
"step": 300,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.8907476896224935,
"RMSE": 3.1958821895815714,
"R2": -1.6910252267675163,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.124747
},
{
"step": 320,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.819623890420079,
"RMSE": 3.103812605138666,
"R2": -1.663886258690169,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.137792
},
{
"step": 340,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7396293145937214,
"RMSE": 3.014220627768389,
"R2": -1.654906383755708,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.151284
},
{
"step": 360,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7350691203787965,
"RMSE": 2.9569384317632506,
"R2": -1.5759385016835008,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.165202
},
{
"step": 380,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6987131960417108,
"RMSE": 2.8893997308323693,
"R2": -1.5446951110541192,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.179547
},
{
"step": 400,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.673610627740774,
"RMSE": 2.82935583501861,
"R2": -1.5089937655143242,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.194363
},
{
"step": 420,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6410137122925974,
"RMSE": 2.7701802079251965,
"R2": -1.484737486096575,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.209602
},
{
"step": 440,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6565972573555454,
"RMSE": 2.7427790467379385,
"R2": -1.391750010744973,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.225268
},
{
"step": 460,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.699464840115161,
"RMSE": 2.73946740401384,
"R2": -1.2626191030939884,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.241356
},
{
"step": 480,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7224824441896145,
"RMSE": 2.7219018737730583,
"R2": -1.182307732575659,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.257864
},
{
"step": 500,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7446092142173422,
"RMSE": 2.70580354422956,
"R2": -1.1113262021905803,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.274789
},
{
"step": 520,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7464998751860934,
"RMSE": 2.677192702589883,
"R2": -1.0705208906620065,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.292197
},
{
"step": 540,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7535492786865423,
"RMSE": 2.653885630983747,
"R2": -1.027170706279252,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.310025
},
{
"step": 560,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7201019899937544,
"RMSE": 2.614359234374483,
"R2": -1.0141103337708768,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.328271
},
{
"step": 580,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6887559504032663,
"RMSE": 2.5757257291728384,
"R2": -1.0033760803823184,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.346933
},
{
"step": 600,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.701917368353294,
"RMSE": 2.561424763732869,
"R2": -0.9592753712060648,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.366058
},
{
"step": 620,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7178157166185173,
"RMSE": 2.551346895968156,
"R2": -0.9142580419512064,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.38561
},
{
"step": 640,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7365901196485038,
"RMSE": 2.545046385321895,
"R2": -0.8692105635365064,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.405582
},
{
"step": 660,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.7465677425181807,
"RMSE": 2.532051562790666,
"R2": -0.8368676529707118,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.425968
},
{
"step": 680,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.731617734826669,
"RMSE": 2.504226186170861,
"R2": -0.8251107974736909,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.446783
},
{
"step": 700,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6973720107412231,
"RMSE": 2.47026789197972,
"R2": -0.8225927549994396,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.468073
},
{
"step": 720,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6698372433333928,
"RMSE": 2.4400355004771077,
"R2": -0.81732226470892,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.489788
},
{
"step": 740,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6732482399922957,
"RMSE": 2.425592833263792,
"R2": -0.7947920429290933,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.511921
},
{
"step": 760,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6653913599894004,
"RMSE": 2.404136439714782,
"R2": -0.7822814452716051,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.53447
},
{
"step": 780,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6644612180457288,
"RMSE": 2.387561393188575,
"R2": -0.7656652158374817,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.557436
},
{
"step": 800,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6556359332933146,
"RMSE": 2.368497267913513,
"R2": -0.7532954885990883,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.580851
},
{
"step": 820,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6452077788467467,
"RMSE": 2.348678653798561,
"R2": -0.7430103139622937,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.604682
},
{
"step": 840,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6374623223784903,
"RMSE": 2.3305035344735936,
"R2": -0.7320713255917544,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.6289220000000001
},
{
"step": 860,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6419505315856449,
"RMSE": 2.320208013716276,
"R2": -0.7138439732116804,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.653572
},
{
"step": 880,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6490002164922652,
"RMSE": 2.3126155324510744,
"R2": -0.6941855677649247,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.6786340000000001
},
{
"step": 900,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6474991175923384,
"RMSE": 2.299197536504521,
"R2": -0.6816400531907807,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.704114
},
{
"step": 920,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6301006788336792,
"RMSE": 2.2779225390149764,
"R2": -0.6777843948800273,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.730046
},
{
"step": 940,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6221876471839871,
"RMSE": 2.262378737250057,
"R2": -0.6690049120995847,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.7563869999999999
},
{
"step": 960,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.6124120493571743,
"RMSE": 2.245866476718547,
"R2": -0.6619276404267609,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.7831509999999999
},
{
"step": 980,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.5867001120604314,
"RMSE": 2.223758235975506,
"R2": -0.661013659831075,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.810322
},
{
"step": 1000,
"track": "Regression",
"model": "[baseline] Mean predictor",
"dataset": "TrumpApproval",
"MAE": 1.5681359363812415,
"RMSE": 2.2037391763141216,
"R2": -0.6587014308970958,
"Memory in Mb": 0.0004901885986328,
"Time in s": 0.8379
}
]
},
"params": [
{
"name": "models",
"select": {
"type": "point",
"fields": [
"model"
]
},
"bind": "legend"
},
{
"name": "Dataset",
"value": "ChickWeights",
"bind": {
"input": "select",
"options": [
"ChickWeights",
"TrumpApproval"
]
}
},
{
"name": "grid",
"select": "interval",
"bind": "scales"
}
],
"transform": [
{
"filter": {
"field": "dataset",
"equal": {
"expr": "Dataset"
}
}
}
],
"repeat": {
"row": [
"MAE",
"RMSE",
"R2",
"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
}
}
}
}