5968470 1 Jan van Rijn 14967 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4003203 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.6136584835083279 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 5 6902 min_samples_split 15 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 63959 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 12860317 description https://api.openml.org/data/download/12860317/description.xml -1 12860318 predictions https://api.openml.org/data/download/12860318/predictions.arff area_under_roc_curve 0.9971557185858735 [0.998735,0.993883,0.997843,0.996756,0.996917,0.99731] average_cost 0 f_measure 0.9564476691966851 [0.969539,0.935532,0.975,0.962302,0.941315,0.920863] kappa 0.9467131979001584 kb_relative_information_score 2551.054999181635 mean_absolute_error 0.03335857700851263 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.956973897114125 [0.972077,0.957055,0.975,0.975855,0.915525,0.907801] predictive_accuracy 0.9563662374821174 prior_entropy 2.5206634795042744 recall 0.9563662374821174 [0.967014,0.914956,0.975,0.949119,0.968599,0.934307] relative_absolute_error 0.12224633713403361 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.10976975311308143 root_relative_squared_error 0.2971804257707326 total_cost 0 area_under_roc_curve 0.9982548253170664 [0.999379,0.993424,0.998266,1,1,0.996032] area_under_roc_curve 0.9986955961069222 [1,1,0.996185,0.99863,0.999898,0.998866] area_under_roc_curve 0.9974316565702225 [0.999068,0.997609,0.997087,0.999658,0.991019,1] area_under_roc_curve 0.9948842809205368 [0.999767,0.979077,0.999792,0.992722,0.992142,1] area_under_roc_curve 0.9988957720506995 [0.999146,0.999641,0.99785,0.999578,0.999898,0.997219] area_under_roc_curve 0.9952138734160002 [0.997437,0.994636,0.996878,0.993835,0.993571,0.992095] area_under_roc_curve 0.9995278781316456 [0.998815,0.99952,1,0.99914,1,0.999853] area_under_roc_curve 0.9949695742918225 [1,0.985114,0.998676,0.992346,0.990356,0.999559] area_under_roc_curve 0.9963897418408364 [0.995733,0.998439,0.995261,0.99785,0.999498,0.990447] area_under_roc_curve 0.9978979018688129 [0.998182,0.998319,0.998467,0.994582,0.999397,0.999265] 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 0.9680651875672435 [0.965517,0.953846,0.971014,0.990099,1,0.896552] f_measure 0.9788173919700286 [0.982456,0.971429,0.985294,0.990099,0.987654,0.931034] f_measure 0.964499515427733 [0.982759,0.941176,0.962963,0.990099,0.95,0.933333] f_measure 0.9499052061351425 [0.982759,0.875,0.992593,0.951456,0.870588,0.982456] f_measure 0.9640149953964671 [0.973913,0.985507,0.977778,0.953271,0.963855,0.901961] f_measure 0.9290106097221864 [0.955752,0.885714,0.941176,0.960784,0.888889,0.897959] f_measure 0.9642414728884587 [0.948276,0.920635,0.992701,0.969697,1,0.915254] f_measure 0.9473266364184185 [0.982759,0.920635,0.985294,0.926316,0.863158,0.981132] f_measure 0.9402965596461206 [0.955752,0.953846,0.962963,0.94,0.953488,0.813559] f_measure 0.9605748540356279 [0.964912,0.942857,0.978102,0.949495,0.953488,0.961538] kappa 0.9607176817196926 kappa 0.9738619037246786 kappa 0.9564398948334604 kappa 0.9389332003988036 kappa 0.9563305156118407 kappa 0.9127141231666069 kappa 0.9562174377000816 kappa 0.9342972871137906 kappa 0.9256909193457417 kappa 0.9518248175182481 kb_relative_information_score 259.5041650627393 kb_relative_information_score 259.1149824789032 kb_relative_information_score 255.5671148457501 kb_relative_information_score 254.50355802355259 kb_relative_information_score 257.5017266484876 kb_relative_information_score 248.37587217022715 kb_relative_information_score 260.07994128512496 kb_relative_information_score 252.76320150740014 kb_relative_information_score 251.33750785188516 kb_relative_information_score 252.30692930755924 mean_absolute_error 0.028478465719548558 mean_absolute_error 0.0314987371735891 mean_absolute_error 0.03349040577111105 mean_absolute_error 0.032663811858743924 mean_absolute_error 0.030933187577876164 mean_absolute_error 0.04022875780623931 mean_absolute_error 0.026871153606437322 mean_absolute_error 0.03455430782292608 mean_absolute_error 0.03718956907867147 mean_absolute_error 0.03768761774218399 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.9691156462585033 [0.965517,1,0.957143,1,1,0.866667] precision 0.9796825396825397 [1,0.944444,0.985294,1,1,0.9] precision 0.965781668580176 [0.982759,0.941176,0.970149,1,0.974359,0.875] precision 0.951081361167568 [0.982759,0.933333,1,0.942308,0.840909,0.965517] precision 0.9647746537913885 [0.982456,0.971429,0.985075,0.927273,0.952381,0.958333] precision 0.9336244367877021 [0.981818,0.885714,0.941176,0.960784,0.816327,1] precision 0.9674958278636637 [0.932203,1,0.985507,1,1,0.84375] precision 0.9554063177344279 [0.966102,1,0.985294,1,0.773585,1] precision 0.9435095553810734 [0.964286,1,0.970149,0.959184,0.931818,0.75] precision 0.9615394831909556 [0.964912,0.916667,0.971014,0.979167,0.931818,1] predictive_accuracy 0.967857142857143 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9642857142857143 predictive_accuracy 0.95 predictive_accuracy 0.9642857142857143 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.96415770609319 predictive_accuracy 0.946236559139785 predictive_accuracy 0.939068100358423 predictive_accuracy 0.9605734767025089 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.9678571428571429 [0.965517,0.911765,0.985294,0.980392,1,0.928571] recall 0.9785714285714285 [0.965517,1,0.985294,0.980392,0.97561,0.964286] recall 0.9642857142857143 [0.982759,0.941176,0.955882,0.980392,0.926829,1] recall 0.95 [0.982759,0.823529,0.985294,0.960784,0.902439,1] recall 0.9642857142857143 [0.965517,1,0.970588,0.980769,0.97561,0.851852] recall 0.9285714285714286 [0.931034,0.885714,0.941176,0.960784,0.97561,0.814815] recall 0.96415770609319 [0.964912,0.852941,1,0.941176,1,1] recall 0.946236559139785 [1,0.852941,0.985294,0.862745,0.97619,0.962963] recall 0.9390681003584229 [0.947368,0.911765,0.955882,0.921569,0.97619,0.888889] recall 0.9605734767025089 [0.964912,0.970588,0.985294,0.921569,0.97619,0.925926] relative_absolute_error 0.10435304413890535 relative_absolute_error 0.11542016142881689 relative_absolute_error 0.12271819086319803 relative_absolute_error 0.11968932014131123 relative_absolute_error 0.11338966714888438 relative_absolute_error 0.14742477030222706 relative_absolute_error 0.09847432192207686 relative_absolute_error 0.12663066432451933 relative_absolute_error 0.1362880675401699 relative_absolute_error 0.1381132591617102 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.09663158199561109 root_mean_squared_error 0.09685744847973006 root_mean_squared_error 0.10695750727460694 root_mean_squared_error 0.11391143421144091 root_mean_squared_error 0.10353178842099886 root_mean_squared_error 0.13079822794611812 root_mean_squared_error 0.0915006280092673 root_mean_squared_error 0.12108530092418827 root_mean_squared_error 0.11726042487858333 root_mean_squared_error 0.112929134989828 root_relative_squared_error 0.2615873865712332 root_relative_squared_error 0.2621988204531436 root_relative_squared_error 0.28954027476657546 root_relative_squared_error 0.30836496475143277 root_relative_squared_error 0.28037011333198636 root_relative_squared_error 0.35411544735227296 root_relative_squared_error 0.24772505705080075 root_relative_squared_error 0.3278213902140639 root_relative_squared_error 0.3174660772809793 root_relative_squared_error 0.30573972022595675 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 1974.783828999996 usercpu_time_millis 1896.344379999995 usercpu_time_millis 1821.3867749999936 usercpu_time_millis 1847.4826039999996 usercpu_time_millis 1935.1432650000006 usercpu_time_millis 1841.4699440000036 usercpu_time_millis 1953.3255230000036 usercpu_time_millis 1782.5241309999951 usercpu_time_millis 1764.3422070000056 usercpu_time_millis 1835.646824000008 usercpu_time_millis_testing 23.777025999997647 usercpu_time_millis_testing 25.206670999999403 usercpu_time_millis_testing 23.18906699999701 usercpu_time_millis_testing 23.778681999999662 usercpu_time_millis_testing 24.260210000001337 usercpu_time_millis_testing 23.483464000001675 usercpu_time_millis_testing 23.236828999998238 usercpu_time_millis_testing 22.648302999996872 usercpu_time_millis_testing 22.73413000000346 usercpu_time_millis_testing 22.507180000005178 usercpu_time_millis_training 1951.0068029999984 usercpu_time_millis_training 1871.1377089999955 usercpu_time_millis_training 1798.1977079999965 usercpu_time_millis_training 1823.703922 usercpu_time_millis_training 1910.8830549999993 usercpu_time_millis_training 1817.9864800000018 usercpu_time_millis_training 1930.0886940000055 usercpu_time_millis_training 1759.8758279999984 usercpu_time_millis_training 1741.6080770000021 usercpu_time_millis_training 1813.139644000003