8886438 5202 thanos sig 167133 Supervised Classification area_under_roc_curve 8105 sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 6834970 copy true 7646 with_mean true 7646 with_std true 7646 bootstrap true 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features "auto" 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 1 7684 min_samples_split 2 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 40 7684 n_jobs 1 7684 oob_score false 7684 random_state 18899 7684 verbose 0 7684 warm_start false 7684 memory null 8105 openml-python Sklearn_0.19.1. 40926 CIFAR_10_small https://www.openml.org/data/download/16797612/cifar-10-small.arff -1 18688666 description https://api.openml.org/data/download/18688666/description.xml -1 18688667 predictions https://api.openml.org/data/download/18688667/predictions.arff area_under_roc_curve 0.8112691689177683 [0.856854,0.845262,0.743611,0.725653,0.783707,0.775069,0.843056,0.809045,0.871769,0.858826] average_cost 0 f_measure 0.40482797818889477 [0.497994,0.451519,0.294672,0.243658,0.348485,0.335965,0.440773,0.426769,0.53992,0.468116] kappa 0.341145065375574 kb_relative_information_score 5868.001860766978 mean_absolute_error 0.15451700000000657 mean_prior_absolute_error 0.17999608295848674 number_of_instances 20000 [2005,1974,2032,2016,1999,1937,2030,2001,2025,1981] precision 0.4049273468048458 [0.47267,0.433909,0.305658,0.260747,0.330787,0.355415,0.417733,0.472948,0.545638,0.453598] predictive_accuracy 0.40704999999999997 prior_entropy 3.3217862890565693 recall 0.40705 [0.526185,0.470618,0.284449,0.228671,0.368184,0.318534,0.466502,0.388806,0.534321,0.483594] relative_absolute_error 0.8584464587245684 root_mean_prior_squared_error 0.299996734149702 root_mean_squared_error 0.2729745409374297 root_relative_squared_error 0.9099250420546647 total_cost 0 area_under_roc_curve 0.8103529309644416 [0.891582,0.838671,0.744021,0.705799,0.776436,0.765003,0.858216,0.802915,0.855151,0.866111] area_under_roc_curve 0.81298443629472 [0.862203,0.85006,0.741498,0.73046,0.792294,0.752095,0.822365,0.828392,0.877814,0.872829] area_under_roc_curve 0.8059366941422461 [0.853078,0.869039,0.725112,0.73385,0.742738,0.768649,0.844715,0.805056,0.850268,0.867798] area_under_roc_curve 0.8101864543623112 [0.860376,0.840699,0.716658,0.704949,0.789204,0.780846,0.835038,0.821796,0.8919,0.860817] area_under_roc_curve 0.811334137867806 [0.846848,0.831029,0.766725,0.717832,0.781992,0.789378,0.841072,0.796956,0.890834,0.850321] area_under_roc_curve 0.8131013929190668 [0.858925,0.836691,0.718302,0.73658,0.786525,0.799306,0.84609,0.826668,0.873091,0.849504] area_under_roc_curve 0.8051538527795813 [0.816009,0.849432,0.73422,0.734818,0.80415,0.784751,0.831661,0.797318,0.838919,0.861278] area_under_roc_curve 0.8160144109470642 [0.854033,0.836855,0.749897,0.759993,0.793629,0.787865,0.820536,0.794699,0.894538,0.868021] area_under_roc_curve 0.8149517419875623 [0.870619,0.857722,0.77237,0.717665,0.771671,0.761802,0.860549,0.811869,0.85789,0.867214] area_under_roc_curve 0.8134281674347762 [0.856114,0.84202,0.770755,0.714499,0.799119,0.760518,0.871513,0.805993,0.887141,0.825222] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.39962539793869034 [0.541667,0.487437,0.300752,0.253444,0.314554,0.306407,0.47907,0.390244,0.464646,0.457944] f_measure 0.40847585240603734 [0.513447,0.419512,0.268097,0.261307,0.344037,0.335196,0.430493,0.464088,0.566234,0.48227] f_measure 0.395095441332498 [0.477958,0.490909,0.262887,0.234667,0.303614,0.331633,0.443325,0.39011,0.53598,0.481013] f_measure 0.40252480965043114 [0.469974,0.475524,0.25323,0.209974,0.360406,0.330789,0.444444,0.481081,0.549763,0.449878] f_measure 0.4032629560709672 [0.486998,0.410758,0.301887,0.237467,0.348235,0.394366,0.392344,0.445682,0.563591,0.452088] f_measure 0.4141829728778495 [0.512195,0.406091,0.299213,0.235602,0.379808,0.373626,0.443925,0.479381,0.531469,0.480392] f_measure 0.38189898311612774 [0.431461,0.44,0.260417,0.214477,0.342723,0.309392,0.440449,0.377143,0.515464,0.487119] f_measure 0.4121974099220831 [0.506912,0.436019,0.343284,0.276042,0.353741,0.308571,0.425837,0.415512,0.595533,0.457143] f_measure 0.4239766717601778 [0.525346,0.467662,0.33584,0.26776,0.354916,0.365079,0.461883,0.444444,0.529412,0.487685] f_measure 0.40453568276629664 [0.513761,0.476886,0.316062,0.245431,0.383178,0.303867,0.443936,0.371014,0.545455,0.444444] kappa 0.33719699888579097 kappa 0.34387084533713563 kappa 0.3311553291754601 kappa 0.33889568357214106 kappa 0.33716698613773377 kappa 0.35218245342283516 kappa 0.31718675386749257 kappa 0.34885868316669133 kappa 0.3622181475048313 kappa 0.34274838402495217 kb_relative_information_score 585.1660772747337 kb_relative_information_score 593.602352733531 kb_relative_information_score 571.4351685776654 kb_relative_information_score 585.526013856833 kb_relative_information_score 580.9947252821844 kb_relative_information_score 597.3813726228625 kb_relative_information_score 568.7222198783585 kb_relative_information_score 603.3478453741801 kb_relative_information_score 592.364742560636 kb_relative_information_score 589.4613426059635 mean_absolute_error 0.15464750000000035 mean_absolute_error 0.1541175000000003 mean_absolute_error 0.15555500000000053 mean_absolute_error 0.1545550000000002 mean_absolute_error 0.15516500000000036 mean_absolute_error 0.1536900000000001 mean_absolute_error 0.1556050000000004 mean_absolute_error 0.15317750000000072 mean_absolute_error 0.15453000000000025 mean_absolute_error 0.15412750000000056 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999559220389702 mean_prior_absolute_error 0.17999584707646074 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.1799963768115932 mean_prior_absolute_error 0.17999615692153823 mean_prior_absolute_error 0.17999606696651574 mean_prior_absolute_error 0.17999606696651574 number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [200,197,204,202,200,193,203,200,203,198] number_of_instances 2000 [201,197,203,202,200,193,203,201,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [201,198,203,201,200,194,203,200,202,198] number_of_instances 2000 [200,197,203,202,199,194,203,200,203,199] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] number_of_instances 2000 [200,197,203,202,200,194,203,200,203,198] precision 0.3990511726204682 [0.50431,0.482587,0.307692,0.285714,0.29646,0.331325,0.453744,0.426036,0.476684,0.426087] precision 0.4114722695919207 [0.502392,0.403756,0.295858,0.265306,0.317797,0.363636,0.395062,0.518519,0.598901,0.453333] precision 0.3951027521542944 [0.447826,0.444444,0.275676,0.254335,0.293023,0.326633,0.453608,0.435583,0.537313,0.482234] precision 0.4023802495284047 [0.494505,0.441558,0.266304,0.222222,0.365979,0.326633,0.419214,0.523529,0.527273,0.436019] precision 0.4058612705929573 [0.463964,0.398104,0.289593,0.252809,0.328889,0.434783,0.381395,0.503145,0.567839,0.440191] precision 0.41300777241774866 [0.502392,0.408163,0.320225,0.248619,0.365741,0.4,0.422222,0.494681,0.502203,0.466667] precision 0.3830797615672325 [0.393443,0.435644,0.276243,0.232558,0.323009,0.333333,0.404959,0.44,0.537634,0.454148] precision 0.41411222764233 [0.470085,0.408889,0.346734,0.291209,0.322314,0.346154,0.413953,0.465839,0.6,0.473118] precision 0.425330437887926 [0.487179,0.458537,0.341837,0.29878,0.341014,0.375,0.423868,0.47191,0.578947,0.475962] precision 0.4048299578827713 [0.474576,0.457944,0.333333,0.259669,0.359649,0.327381,0.41453,0.441379,0.544118,0.434783] predictive_accuracy 0.4035 predictive_accuracy 0.40950000000000003 predictive_accuracy 0.39799999999999996 predictive_accuracy 0.405 predictive_accuracy 0.4035 predictive_accuracy 0.41700000000000004 predictive_accuracy 0.38549999999999995 predictive_accuracy 0.414 predictive_accuracy 0.426 predictive_accuracy 0.40850000000000003 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 prior_entropy 3.3217862890565693 recall 0.4035 [0.585,0.492386,0.294118,0.227723,0.335,0.284974,0.507389,0.36,0.453202,0.494949] recall 0.4095 [0.525,0.436548,0.245098,0.257426,0.375,0.310881,0.472906,0.42,0.536946,0.515152] recall 0.398 [0.512438,0.548223,0.251232,0.217822,0.315,0.336788,0.433498,0.353234,0.534653,0.479798] recall 0.405 [0.447761,0.515152,0.241379,0.199005,0.355,0.335052,0.472906,0.445,0.574257,0.464646] recall 0.4035 [0.512438,0.424242,0.315271,0.223881,0.37,0.360825,0.403941,0.4,0.559406,0.464646] recall 0.417 [0.522388,0.40404,0.280788,0.223881,0.395,0.350515,0.46798,0.465,0.564356,0.494949] recall 0.3855 [0.477612,0.444444,0.246305,0.199005,0.365,0.28866,0.482759,0.33,0.49505,0.525253] recall 0.414 [0.55,0.467005,0.339901,0.262376,0.39196,0.278351,0.438424,0.375,0.591133,0.442211] recall 0.426 [0.57,0.477157,0.330049,0.242574,0.37,0.35567,0.507389,0.42,0.487685,0.5] recall 0.4085 [0.56,0.497462,0.300493,0.232673,0.41,0.283505,0.477833,0.32,0.546798,0.454545] relative_absolute_error 0.8591738170166822 relative_absolute_error 0.8562293004676341 relative_absolute_error 0.8642143834236466 relative_absolute_error 0.8586561726282794 relative_absolute_error 0.8620451297328919 relative_absolute_error 0.8538505203405918 relative_absolute_error 0.8644896233821203 relative_absolute_error 0.8510042804234539 relative_absolute_error 0.858518758794586 relative_absolute_error 0.8562825988229651 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.29999591621531446 root_mean_prior_squared_error 0.2999963410084025 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.2999972239097591 root_mean_prior_squared_error 0.299996857422719 root_mean_prior_squared_error 0.29999670749607354 root_mean_prior_squared_error 0.29999670749607354 root_mean_squared_error 0.27325960641851155 root_mean_squared_error 0.27241592739779374 root_mean_squared_error 0.2741453765796535 root_mean_squared_error 0.27285561658137103 root_mean_squared_error 0.27373184871329814 root_mean_squared_error 0.2720615739129658 root_mean_squared_error 0.27503727020169483 root_mean_squared_error 0.2712993042748176 root_mean_squared_error 0.2723779543208296 root_mean_squared_error 0.2725411666152473 root_relative_squared_error 0.9108777541571145 root_relative_squared_error 0.90806545247194 root_relative_squared_error 0.913829067575111 root_relative_squared_error 0.909527138369279 root_relative_squared_error 0.9124479391703915 root_relative_squared_error 0.9068803049817672 root_relative_squared_error 0.9167993843983957 root_relative_squared_error 0.904340487448959 root_relative_squared_error 0.9079364790175058 root_relative_squared_error 0.9084805259698205 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 32798.503091000384 usercpu_time_millis 32501.85076499929 usercpu_time_millis 32510.20482899912 usercpu_time_millis 32526.480905000426 usercpu_time_millis 32372.676836998835 usercpu_time_millis 32578.885226999773 usercpu_time_millis 32494.66467000002 usercpu_time_millis 32645.821763999265 usercpu_time_millis 32434.079021999423 usercpu_time_millis 32522.64970000033 usercpu_time_millis_testing 160.27452500020445 usercpu_time_millis_testing 173.61721999986912 usercpu_time_millis_testing 159.1973409995262 usercpu_time_millis_testing 154.98753500014573 usercpu_time_millis_testing 154.4734149993019 usercpu_time_millis_testing 163.46553299990774 usercpu_time_millis_testing 155.96981199996662 usercpu_time_millis_testing 160.2994499999113 usercpu_time_millis_testing 158.5696049996841 usercpu_time_millis_testing 160.4417630005628 usercpu_time_millis_training 32638.22856600018 usercpu_time_millis_training 32328.23354499942 usercpu_time_millis_training 32351.007487999595 usercpu_time_millis_training 32371.49337000028 usercpu_time_millis_training 32218.203421999533 usercpu_time_millis_training 32415.419693999866 usercpu_time_millis_training 32338.694858000054 usercpu_time_millis_training 32485.522313999354 usercpu_time_millis_training 32275.50941699974 usercpu_time_millis_training 32362.207936999766