5970673 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) 4005406 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.13397197746999012 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 3 6902 min_samples_split 17 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 17850 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 "most_frequent" 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 12864715 description https://api.openml.org/data/download/12864715/description.xml -1 12864716 predictions https://api.openml.org/data/download/12864716/predictions.arff area_under_roc_curve 0.9996534481649668 [0.999897,0.999386,0.999466,0.999806,0.999811,0.999415] average_cost 0 f_measure 0.9853833691878665 [0.992181,0.979228,0.991858,0.983415,0.987981,0.962433] kappa 0.9820959216666117 kb_relative_information_score 2558.6687504873985 mean_absolute_error 0.03724233140897717 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9855688318504414 [0.993043,0.990991,0.99851,0.980545,0.983254,0.94386] predictive_accuracy 0.9853361945636624 prior_entropy 2.5206634795042744 recall 0.9853361945636624 [0.991319,0.967742,0.985294,0.986301,0.992754,0.981752] relative_absolute_error 0.13647880123655873 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.0937551871328055 root_relative_squared_error 0.25382407849308963 total_cost 0 area_under_roc_curve 0.9995936459412726 [1,0.998924,0.999098,1,1,0.999433] area_under_roc_curve 0.9996474770183266 [1,1,0.998613,0.999914,1,1] area_under_roc_curve 0.999983153638814 [1,1,0.999931,1,1,1] area_under_roc_curve 0.9997509087997548 [1,0.999044,1,1,0.999286,0.999717] area_under_roc_curve 0.9996598766287036 [1,1,0.99889,1,1,0.999268] area_under_roc_curve 0.9993136738643914 [0.999146,0.998834,0.999445,0.999829,1,0.997951] area_under_roc_curve 0.9999515644676934 [0.999763,1,1,1,1,1] area_under_roc_curve 0.9994854080492998 [1,0.99904,0.999791,0.998882,1,0.99853] area_under_roc_curve 0.9998112551875992 [0.999842,1,1,1,1,0.998383] area_under_roc_curve 0.9997451969627479 [1,1,0.998955,1,1,1] 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 0.9857393095137306 [0.991304,0.969697,0.992593,0.990291,0.987952,0.965517] f_measure 0.9928770527463069 [0.991304,1,0.992593,0.990291,1,0.982456] f_measure 0.9892577463280875 [1,0.985507,0.992593,0.990291,0.975,0.982456] f_measure 0.9819840881811222 [0.991453,0.9375,1,1,0.97561,0.949153] f_measure 0.9892709308143326 [1,1,0.985075,0.990476,0.987952,0.962963] f_measure 0.9715305602884408 [0.982456,0.957746,0.985075,0.953271,1,0.923077] f_measure 0.989223757447239 [0.982759,0.985075,0.992701,0.98,1,1] f_measure 0.9750833418476765 [1,0.953846,0.992593,0.96,0.976744,0.931034] f_measure 0.9821749994176434 [0.982456,1,0.992593,0.98,0.976744,0.945455] f_measure 0.9964350795892014 [1,1,0.992593,1,1,0.981818] kappa 0.9825642941652657 kappa 0.9912822827965192 kappa 0.9869213882012239 kappa 0.9781877103327932 kappa 0.9869128301004908 kappa 0.9651046859421734 kappa 0.9868545043347154 kappa 0.9693877551020408 kappa 0.9781269109553602 kappa 0.9956241471792219 kb_relative_information_score 257.41778242969116 kb_relative_information_score 258.7495135714523 kb_relative_information_score 259.77002475902003 kb_relative_information_score 256.39884882148976 kb_relative_information_score 257.966286761136 kb_relative_information_score 250.49945035912134 kb_relative_information_score 255.94853703023335 kb_relative_information_score 253.61422444058198 kb_relative_information_score 254.83761324663774 kb_relative_information_score 253.4664690680318 mean_absolute_error 0.035982907767323956 mean_absolute_error 0.0356917415437016 mean_absolute_error 0.0327666338273136 mean_absolute_error 0.0356234241907958 mean_absolute_error 0.03518921181806942 mean_absolute_error 0.043838992924859974 mean_absolute_error 0.03625550133916006 mean_absolute_error 0.037882830564639335 mean_absolute_error 0.037724181952067955 mean_absolute_error 0.04148351925998172 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 0.9863441915227629 [1,1,1,0.980769,0.97619,0.933333] precision 0.9930489768851838 [1,1,1,0.980769,1,0.965517] precision 0.9895795891300817 [1,0.971429,1,0.980769,1,0.965517] precision 0.9832402561899555 [0.983051,1,1,1,0.97561,0.903226] precision 0.9894381337440636 [1,1,1,0.981132,0.97619,0.962963] precision 0.9729356575963718 [1,0.944444,1,0.910714,1,0.96] precision 0.9895422557842033 [0.966102,1,0.985507,1,1,1] precision 0.9769398630703819 [1,1,1,0.979592,0.954545,0.870968] precision 0.9826607084671601 [0.982456,1,1,1,0.954545,0.928571] precision 0.9965437788018433 [1,1,1,1,1,0.964286] predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9928571428571429 predictive_accuracy 0.9892857142857143 predictive_accuracy 0.9821428571428571 predictive_accuracy 0.9892857142857143 predictive_accuracy 0.9714285714285714 predictive_accuracy 0.989247311827957 predictive_accuracy 0.974910394265233 predictive_accuracy 0.982078853046595 predictive_accuracy 0.996415770609319 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 0.9857142857142858 [0.982759,0.941176,0.985294,1,1,1] recall 0.9928571428571429 [0.982759,1,0.985294,1,1,1] recall 0.9892857142857143 [1,1,0.985294,1,0.95122,1] recall 0.9821428571428571 [1,0.882353,1,1,0.97561,1] recall 0.9892857142857143 [1,1,0.970588,1,1,0.962963] recall 0.9714285714285714 [0.965517,0.971429,0.970588,1,1,0.888889] recall 0.989247311827957 [1,0.970588,1,0.960784,1,1] recall 0.974910394265233 [1,0.911765,0.985294,0.941176,1,1] recall 0.982078853046595 [0.982456,1,0.985294,0.960784,1,0.962963] recall 0.996415770609319 [1,1,0.985294,1,1,1] relative_absolute_error 0.13185141360730723 relative_absolute_error 0.13078449932601693 relative_absolute_error 0.12006608852238437 relative_absolute_error 0.1305341654838276 relative_absolute_error 0.12899068371913436 relative_absolute_error 0.1606550590837797 relative_absolute_error 0.13286500321532313 relative_absolute_error 0.13882865272476064 relative_absolute_error 0.13824725548459518 relative_absolute_error 0.15202404369753178 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 0.08967212628679107 root_mean_squared_error 0.08436841534621446 root_mean_squared_error 0.08362119246969865 root_mean_squared_error 0.09558369755328776 root_mean_squared_error 0.08917374177019788 root_mean_squared_error 0.10886034159370091 root_mean_squared_error 0.09024472954524099 root_mean_squared_error 0.10106512090340437 root_mean_squared_error 0.09554518195318276 root_mean_squared_error 0.09658527725981171 root_relative_squared_error 0.24274772987482143 root_relative_squared_error 0.22839027183240104 root_relative_squared_error 0.2263674954748445 root_relative_squared_error 0.25875070163826314 root_relative_squared_error 0.2414876867062474 root_relative_squared_error 0.29472210111481656 root_relative_squared_error 0.24432488892715223 root_relative_squared_error 0.2736195738362169 root_relative_squared_error 0.2586751169389146 root_relative_squared_error 0.26149102842256944 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 643.5430369999722 usercpu_time_millis 587.4313839999559 usercpu_time_millis 589.2989099999681 usercpu_time_millis 584.9269679999907 usercpu_time_millis 584.3729470000198 usercpu_time_millis 578.979597 usercpu_time_millis 586.7580450000105 usercpu_time_millis 579.3117060000554 usercpu_time_millis 582.3317070000371 usercpu_time_millis 578.4442469999931 usercpu_time_millis_testing 29.739803999973446 usercpu_time_millis_testing 27.747725999972772 usercpu_time_millis_testing 27.551625000000968 usercpu_time_millis_testing 27.457040000001598 usercpu_time_millis_testing 27.700900000013462 usercpu_time_millis_testing 27.99312199999804 usercpu_time_millis_testing 27.75500899997496 usercpu_time_millis_testing 27.728392000028634 usercpu_time_millis_testing 27.66267300000891 usercpu_time_millis_testing 28.11615199999551 usercpu_time_millis_training 613.8032329999987 usercpu_time_millis_training 559.6836579999831 usercpu_time_millis_training 561.7472849999672 usercpu_time_millis_training 557.4699279999891 usercpu_time_millis_training 556.6720470000064 usercpu_time_millis_training 550.986475000002 usercpu_time_millis_training 559.0030360000355 usercpu_time_millis_training 551.5833140000268 usercpu_time_millis_training 554.6690340000282 usercpu_time_millis_training 550.3280949999976