5977808 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) 4012541 bootstrap true 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.185712875388083 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 13 6902 min_samples_split 5 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 27257 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 12878959 description https://api.openml.org/data/download/12878959/description.xml -1 12878960 predictions https://api.openml.org/data/download/12878960/predictions.arff area_under_roc_curve 0.9894139429839095 [0.996688,0.984061,0.99608,0.987711,0.990358,0.96599] average_cost 0 f_measure 0.9103670295803151 [0.968778,0.906433,0.986587,0.873518,0.873589,0.727605] kappa 0.889649117552359 kb_relative_information_score 2109.9333213721616 mean_absolute_error 0.09189627683986258 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9127592512982042 [0.99633,0.90379,1,0.882236,0.819915,0.728938] predictive_accuracy 0.9095135908440629 prior_entropy 2.5206634795042744 recall 0.9095135908440629 [0.942708,0.909091,0.973529,0.864971,0.934783,0.726277] relative_absolute_error 0.33676446201711707 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.18064415858008392 root_relative_squared_error 0.48905920289828436 total_cost 0 area_under_roc_curve 0.9910721266223103 [0.997515,0.988044,0.99237,0.991951,0.994387,0.971797] area_under_roc_curve 0.9932824308029993 [0.99767,0.998087,0.990705,0.996404,0.994285,0.977466] area_under_roc_curve 0.9918789748087059 [0.998913,0.993066,0.999445,0.987156,0.982855,0.979308] area_under_roc_curve 0.9873162189733992 [0.999612,0.942731,0.999029,0.995548,0.987346,0.972506] area_under_roc_curve 0.9938857606867239 [0.999068,0.998087,0.99778,0.990047,0.996734,0.970722] area_under_roc_curve 0.9843661659247983 [0.992001,0.96758,0.996878,0.979193,0.994999,0.951837] area_under_roc_curve 0.9902015045024162 [0.993283,0.990156,1,0.993034,0.992767,0.949735] area_under_roc_curve 0.989012568681761 [0.998419,0.984634,0.996864,0.975318,0.991762,0.976484] area_under_roc_curve 0.9845852731551268 [0.991623,0.994598,0.993379,0.980392,0.981415,0.947825] area_under_roc_curve 0.9920770237067575 [0.998657,0.989796,0.995121,0.99484,0.988246,0.974133] 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 0.9248765389042494 [0.982456,0.895522,0.992593,0.9,0.921348,0.727273] f_measure 0.9187008698047515 [0.925926,0.868421,0.985075,0.92,0.91954,0.8] f_measure 0.9197878792646946 [0.982456,0.955224,0.985075,0.877551,0.819277,0.8125] f_measure 0.9229132402050073 [0.982759,0.90625,0.992593,0.888889,0.894118,0.754098] f_measure 0.9088473069454549 [0.973451,0.90411,0.969697,0.878505,0.909091,0.680851] f_measure 0.8997887235461249 [0.964286,0.941176,0.985075,0.846154,0.869565,0.64] f_measure 0.9137230140988363 [0.954955,0.878788,1,0.893204,0.888889,0.730769] f_measure 0.8997684330650372 [0.972973,0.828571,0.992593,0.821053,0.87234,0.792453] f_measure 0.8856553580761815 [0.982143,0.939394,0.977444,0.808081,0.804598,0.655738] f_measure 0.9062958594207127 [0.963636,0.955224,0.985075,0.897196,0.835165,0.653061] kappa 0.9084839146472429 kappa 0.9000667256335055 kappa 0.9000232865015912 kappa 0.9041752224503764 kappa 0.8909742231913402 kappa 0.877900638529824 kappa 0.8948954605387078 kappa 0.8776564922556497 kappa 0.8560101341841042 kappa 0.8861260243006499 kb_relative_information_score 210.95641062281976 kb_relative_information_score 212.8433258244301 kb_relative_information_score 216.10999362611165 kb_relative_information_score 217.68569722936832 kb_relative_information_score 214.20013869187537 kb_relative_information_score 208.32559294128055 kb_relative_information_score 207.21222781701465 kb_relative_information_score 209.19647365878703 kb_relative_information_score 209.9693981479036 kb_relative_information_score 203.43406281257114 mean_absolute_error 0.09329563701697478 mean_absolute_error 0.0929008432359491 mean_absolute_error 0.08578017178966417 mean_absolute_error 0.08431925249884262 mean_absolute_error 0.08801164323861099 mean_absolute_error 0.09523471935906926 mean_absolute_error 0.09512008095249007 mean_absolute_error 0.09104195982536753 mean_absolute_error 0.09091959707227298 mean_absolute_error 0.10238128417604933 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 0.9268121417037234 [1,0.909091,1,0.918367,0.854167,0.740741] precision 0.9252100909376864 [1,0.785714,1,0.938776,0.869565,0.814815] precision 0.9251498923231446 [1,0.969697,1,0.914894,0.809524,0.722222] precision 0.9269318181818182 [0.982759,0.966667,1,0.916667,0.863636,0.69697] precision 0.9132114693816822 [1,0.846154,1,0.854545,0.851064,0.8] precision 0.9043517429344771 [1,0.969697,1,0.830189,0.784314,0.695652] precision 0.9153846919707136 [0.981481,0.90625,1,0.884615,0.833333,0.76] precision 0.9050771013136604 [1,0.805556,1,0.886364,0.788462,0.807692] precision 0.8924248014618033 [1,0.96875,1,0.833333,0.777778,0.588235] precision 0.9100063616192648 [1,0.969697,1,0.857143,0.77551,0.727273] predictive_accuracy 0.925 predictive_accuracy 0.9178571428571429 predictive_accuracy 0.9178571428571429 predictive_accuracy 0.9214285714285714 predictive_accuracy 0.9107142857142857 predictive_accuracy 0.9 predictive_accuracy 0.9139784946236559 predictive_accuracy 0.8996415770609318 predictive_accuracy 0.8817204301075269 predictive_accuracy 0.9068100358422939 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 0.925 [0.965517,0.882353,0.985294,0.882353,1,0.714286] recall 0.9178571428571428 [0.862069,0.970588,0.970588,0.901961,0.97561,0.785714] recall 0.9178571428571428 [0.965517,0.941176,0.970588,0.843137,0.829268,0.928571] recall 0.9214285714285714 [0.982759,0.852941,0.985294,0.862745,0.926829,0.821429] recall 0.9107142857142857 [0.948276,0.970588,0.941176,0.903846,0.97561,0.592593] recall 0.9 [0.931034,0.914286,0.970588,0.862745,0.97561,0.592593] recall 0.9139784946236559 [0.929825,0.852941,1,0.901961,0.952381,0.703704] recall 0.899641577060932 [0.947368,0.852941,0.985294,0.764706,0.97619,0.777778] recall 0.8817204301075269 [0.964912,0.911765,0.955882,0.784314,0.833333,0.740741] recall 0.9068100358422939 [0.929825,0.941176,0.970588,0.941176,0.904762,0.592593] relative_absolute_error 0.34186124433370607 relative_absolute_error 0.3404146097690899 relative_absolute_error 0.31432248285992315 relative_absolute_error 0.30896926696901816 relative_absolute_error 0.3226182528692909 relative_absolute_error 0.34900298671738517 relative_absolute_error 0.34858516348645197 relative_absolute_error 0.3336401328937468 relative_absolute_error 0.33319171190981783 relative_absolute_error 0.3751951882829721 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 0.18188523493366046 root_mean_squared_error 0.17874844840826795 root_mean_squared_error 0.17580990940709768 root_mean_squared_error 0.1706477321052366 root_mean_squared_error 0.1739194566240677 root_mean_squared_error 0.18535327012901034 root_mean_squared_error 0.18491662925455585 root_mean_squared_error 0.18268156889060397 root_mean_squared_error 0.18319852001531967 root_mean_squared_error 0.18854664286137238 root_relative_squared_error 0.4923740487282097 root_relative_squared_error 0.48388258276580265 root_relative_squared_error 0.4759277845333916 root_relative_squared_error 0.4619534663909801 root_relative_squared_error 0.47098401860927586 root_relative_squared_error 0.5018145673730374 root_relative_squared_error 0.500635717244335 root_relative_squared_error 0.49458460624960077 root_relative_squared_error 0.4959841785765765 root_relative_squared_error 0.5104634675823188 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 513.1503660001044 usercpu_time_millis 473.60419799997544 usercpu_time_millis 464.03638800006775 usercpu_time_millis 465.829610000128 usercpu_time_millis 462.4201469999889 usercpu_time_millis 463.19846200003667 usercpu_time_millis 463.4113539999589 usercpu_time_millis 467.54774200007887 usercpu_time_millis 469.6343410000736 usercpu_time_millis 461.7717989999619 usercpu_time_millis_testing 31.72203000008267 usercpu_time_millis_testing 29.22391399999924 usercpu_time_millis_testing 29.36429400006091 usercpu_time_millis_testing 29.200182000067798 usercpu_time_millis_testing 29.63505599996097 usercpu_time_millis_testing 29.57007199995587 usercpu_time_millis_testing 29.799506000017573 usercpu_time_millis_testing 29.42101400003594 usercpu_time_millis_testing 29.56111400010286 usercpu_time_millis_testing 29.253733000018656 usercpu_time_millis_training 481.4283360000218 usercpu_time_millis_training 444.3802839999762 usercpu_time_millis_training 434.67209400000684 usercpu_time_millis_training 436.6294280000602 usercpu_time_millis_training 432.78509100002793 usercpu_time_millis_training 433.6283900000808 usercpu_time_millis_training 433.61184799994135 usercpu_time_millis_training 438.12672800004293 usercpu_time_millis_training 440.07322699997076 usercpu_time_millis_training 432.51806599994325