6021493 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) 4056178 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.40316705574899914 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 6 6902 min_samples_split 3 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 33367 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 "mean" 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 12966107 description https://api.openml.org/data/download/12966107/description.xml -1 12966108 predictions https://api.openml.org/data/download/12966108/predictions.arff area_under_roc_curve 0.9990793238472694 [0.999381,0.99713,0.999167,0.999511,0.999728,0.998868] average_cost 0 f_measure 0.9741556017609652 [0.984348,0.949704,0.988166,0.97734,0.987864,0.921739] kappa 0.9681381896051523 kb_relative_information_score 2613.0071868699506 mean_absolute_error 0.026224923397512635 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9748793335464482 [0.986063,0.958209,0.994048,0.984127,0.992683,0.880399] predictive_accuracy 0.9738912732474964 prior_entropy 2.5206634795042744 recall 0.9738912732474965 [0.982639,0.941349,0.982353,0.970646,0.983092,0.967153] relative_absolute_error 0.09610424407936934 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.08972251220603525 root_relative_squared_error 0.24290638925953587 total_cost 0 area_under_roc_curve 0.9992715478375528 [0.999845,0.997609,0.999029,1,1,0.998299] area_under_roc_curve 0.999433822374079 [1,1,0.99785,0.999914,1,0.999717] area_under_roc_curve 0.9995638574305629 [0.999456,0.998804,0.999514,0.999914,0.999694,1] area_under_roc_curve 0.9984168218261894 [1,0.98912,1,1,0.999082,0.998724] area_under_roc_curve 0.9994968731022874 [1,1,0.998335,1,1,0.998975] area_under_roc_curve 0.9985611135948511 [0.998835,0.995219,0.998821,0.999829,1,0.997072] area_under_roc_curve 0.9996909028035231 [0.999289,0.99916,1,0.999742,1,0.999853] area_under_roc_curve 0.9989789417077325 [1,0.995438,0.999582,0.998796,0.9999,0.998677] area_under_roc_curve 0.9988968968133934 [0.996997,0.99952,0.999512,0.999226,1,0.998236] area_under_roc_curve 0.9994356281087864 [0.999447,0.99928,0.999024,0.999312,1,1] 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 0.9824813863584274 [0.991304,0.969697,0.992593,1,0.987952,0.915254] f_measure 0.9857088373106679 [0.982456,0.985507,0.985294,0.980392,1,0.982456] f_measure 0.9789895372818855 [0.991304,0.956522,0.992593,0.990099,0.975,0.933333] f_measure 0.9540029871602675 [0.983051,0.861538,0.992593,0.970297,0.962025,0.870968] f_measure 0.9856789502621662 [1,0.971429,0.985075,0.990476,1,0.943396] f_measure 0.9610188744385285 [0.973913,0.901408,0.977444,0.980769,1,0.872727] f_measure 0.9678495305664842 [0.965517,0.953846,0.985507,0.959184,0.987952,0.931034] f_measure 0.9749977826346918 [1,0.969697,0.985294,0.96,0.976744,0.928571] f_measure 0.9682536845046174 [0.973451,0.955224,0.992593,0.950495,1,0.896552] f_measure 0.9823092081479652 [0.982456,0.970588,0.992593,0.990099,0.987952,0.947368] kappa 0.978213168583389 kappa 0.9825664653508499 kappa 0.9738736917406653 kappa 0.9433463035019456 kappa 0.9825504401339877 kappa 0.9520801568285777 kappa 0.9605857977020155 kappa 0.9693647058823529 kappa 0.9606549670949546 kappa 0.978134110787172 kb_relative_information_score 263.25699915415817 kb_relative_information_score 265.23502363233854 kb_relative_information_score 263.2565799057065 kb_relative_information_score 261.52094198562884 kb_relative_information_score 263.18762859139156 kb_relative_information_score 256.82005553757 kb_relative_information_score 262.0616768472088 kb_relative_information_score 257.65940150704233 kb_relative_information_score 260.33045012932746 kb_relative_information_score 259.67842957957674 mean_absolute_error 0.02456868319145248 mean_absolute_error 0.023133002517684815 mean_absolute_error 0.024087531605096617 mean_absolute_error 0.024635214547732598 mean_absolute_error 0.02449722814522239 mean_absolute_error 0.03146800204366028 mean_absolute_error 0.024401462580275892 mean_absolute_error 0.030111992986541273 mean_absolute_error 0.026597202694829285 mean_absolute_error 0.028766691004330384 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 0.9836103796357252 [1,1,1,1,0.97619,0.870968] precision 0.9859394792399718 [1,0.971429,0.985294,0.980392,1,0.965517] precision 0.9805612244897958 [1,0.942857,1,1,1,0.875] precision 0.9571129935845306 [0.966667,0.903226,1,0.98,1,0.794118] precision 0.9860411339184925 [1,0.944444,1,0.981132,1,0.961538] precision 0.9618282003301155 [0.982456,0.888889,1,0.962264,1,0.857143] precision 0.97016117134285 [0.949153,1,0.971429,1,1,0.870968] precision 0.9758315029250991 [1,1,0.985294,0.979592,0.954545,0.896552] precision 0.9697383552586467 [0.982143,0.969697,1,0.96,1,0.83871] precision 0.9831541218637994 [0.982456,0.970588,1,1,1,0.9] predictive_accuracy 0.9821428571428571 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9535714285714286 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9607142857142857 predictive_accuracy 0.967741935483871 predictive_accuracy 0.974910394265233 predictive_accuracy 0.967741935483871 predictive_accuracy 0.982078853046595 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 0.9821428571428571 [0.982759,0.941176,0.985294,1,1,0.964286] recall 0.9857142857142858 [0.965517,1,0.985294,0.980392,1,1] recall 0.9785714285714285 [0.982759,0.970588,0.985294,0.980392,0.95122,1] recall 0.9535714285714286 [1,0.823529,0.985294,0.960784,0.926829,0.964286] recall 0.9857142857142858 [1,1,0.970588,1,1,0.925926] recall 0.9607142857142857 [0.965517,0.914286,0.955882,1,1,0.888889] recall 0.967741935483871 [0.982456,0.911765,1,0.921569,0.97619,1] recall 0.974910394265233 [1,0.941176,0.985294,0.941176,1,0.962963] recall 0.967741935483871 [0.964912,0.941176,0.985294,0.941176,1,0.962963] recall 0.982078853046595 [0.982456,0.970588,0.985294,0.980392,0.97619,1] relative_absolute_error 0.09002651009223907 relative_absolute_error 0.08476577553601576 relative_absolute_error 0.0882634364343056 relative_absolute_error 0.09027029954448317 relative_absolute_error 0.08979781144325781 relative_absolute_error 0.11531956804386127 relative_absolute_error 0.08942368149478894 relative_absolute_error 0.11035097839497375 relative_absolute_error 0.09747037804026029 relative_absolute_error 0.10542086998135854 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 0.08338581508896849 root_mean_squared_error 0.07692986235389228 root_mean_squared_error 0.08395159668982345 root_mean_squared_error 0.09211546237689731 root_mean_squared_error 0.08548886721634832 root_mean_squared_error 0.10346478658594851 root_mean_squared_error 0.08657277129348312 root_mean_squared_error 0.09835307298156674 root_mean_squared_error 0.09263914340154171 root_mean_squared_error 0.09132372590198538 root_relative_squared_error 0.22573031503536892 root_relative_squared_error 0.20825367055827967 root_relative_squared_error 0.22726191916810948 root_relative_squared_error 0.2493619846466733 root_relative_squared_error 0.23150883178609608 root_relative_squared_error 0.2801144920876429 root_relative_squared_error 0.23438357937337798 root_relative_squared_error 0.26627708624046303 root_relative_squared_error 0.2508074270480409 root_relative_squared_error 0.24724611952247716 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 1071.7109010001877 usercpu_time_millis 1070.326052999917 usercpu_time_millis 1066.0481140002958 usercpu_time_millis 1074.8294739996709 usercpu_time_millis 1078.309531999821 usercpu_time_millis 1061.6147880000426 usercpu_time_millis 1094.7925720001876 usercpu_time_millis 1059.358591000091 usercpu_time_millis 1067.6889559999836 usercpu_time_millis 1082.8609320001306 usercpu_time_millis_testing 25.22519900003317 usercpu_time_millis_testing 25.43634399989969 usercpu_time_millis_testing 25.004515000091487 usercpu_time_millis_testing 25.386508999872603 usercpu_time_millis_testing 25.303329000053054 usercpu_time_millis_testing 25.530664000143588 usercpu_time_millis_testing 25.395986000148696 usercpu_time_millis_testing 25.3761899998608 usercpu_time_millis_testing 25.027377999776945 usercpu_time_millis_testing 25.6038620000254 usercpu_time_millis_training 1046.4857020001546 usercpu_time_millis_training 1044.8897090000173 usercpu_time_millis_training 1041.0435990002043 usercpu_time_millis_training 1049.4429649997983 usercpu_time_millis_training 1053.006202999768 usercpu_time_millis_training 1036.084123999899 usercpu_time_millis_training 1069.396586000039 usercpu_time_millis_training 1033.9824010002303 usercpu_time_millis_training 1042.6615780002066 usercpu_time_millis_training 1057.2570700001052