10442158 8323 Heinrich Peters 37 Supervised Classification 17652 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(2) 8261522 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 bootstrap false 17650 class_weight null 17650 criterion "entropy" 17650 max_depth null 17650 max_features 0.13891783454814322 17650 max_leaf_nodes null 17650 min_impurity_decrease 0 17650 min_impurity_split null 17650 min_samples_leaf 2 17650 min_samples_split 9 17650 min_weight_fraction_leaf 0.0 17650 n_estimators 300 17650 n_jobs 1 17650 oob_score false 17650 random_state 1 17650 verbose 0 17650 warm_start false 17650 memory null 17652 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}] 17652 verbose false 17652 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21808745 description https://api.openml.org/data/download/21808745/description.xml -1 21808746 predictions https://api.openml.org/data/download/21808746/predictions.arff area_under_roc_curve 0.823865671641791 [0.823866,0.823866] average_cost 0 f_measure 0.7547522817182194 [0.823755,0.626016] kappa 0.45183714001986086 kb_relative_information_score 0.28380155778628136 mean_absolute_error 0.3321111067161747 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7604166666666666 [0.86,0.574627] number_of_instances 768 [500,268] precision 0.7545189950980392 [0.790441,0.6875] predictive_accuracy 0.7604166666666667 prior_entropy 0.9331348051619819 relative_absolute_error 0.7307314266120888 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4027016282490029 root_relative_squared_error 0.8448742216214804 total_cost 0 unweighted_recall 0.7173134328358208 [0.86,0.574627] area_under_roc_curve 0.8992592592592593 [0.899259,0.899259] area_under_roc_curve 0.7607407407407407 [0.760741,0.760741] area_under_roc_curve 0.8244444444444444 [0.824444,0.824444] area_under_roc_curve 0.8192592592592594 [0.819259,0.819259] area_under_roc_curve 0.7755555555555557 [0.775556,0.775556] area_under_roc_curve 0.8251851851851851 [0.825185,0.825185] area_under_roc_curve 0.8385185185185187 [0.838519,0.838519] area_under_roc_curve 0.8837037037037035 [0.883704,0.883704] area_under_roc_curve 0.8207692307692307 [0.820769,0.820769] area_under_roc_curve 0.79 [0.79,0.79] 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 0.8059818968909879 [0.848485,0.727273] f_measure 0.688825590794173 [0.785047,0.510638] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.7545642763034068 [0.833333,0.608696] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7313771134525852 [0.811321,0.583333] f_measure 0.8511774564667782 [0.897196,0.765957] f_measure 0.7503987240829346 [0.833333,0.590909] f_measure 0.7248954289669284 [0.787879,0.603774] kappa 0.5758354755784062 kappa 0.302481291847184 kappa 0.4534927157265597 kappa 0.44912559618441983 kappa 0.3504601226993866 kappa 0.4936170212765959 kappa 0.3989071038251366 kappa 0.666404096100827 kappa 0.4318936877076413 kappa 0.3917682926829269 kb_relative_information_score 0.38227950353614654 kb_relative_information_score 0.21323135011747596 kb_relative_information_score 0.28160021735439145 kb_relative_information_score 0.2576689494355702 kb_relative_information_score 0.2095385422428607 kb_relative_information_score 0.25014859555633434 kb_relative_information_score 0.30560976218169583 kb_relative_information_score 0.3796611734988483 kb_relative_information_score 0.2863441112549635 kb_relative_information_score 0.27173253315650703 mean_absolute_error 0.2933881011290061 mean_absolute_error 0.3596250354525697 mean_absolute_error 0.33478070777206237 mean_absolute_error 0.34379200064179144 mean_absolute_error 0.3573406198872054 mean_absolute_error 0.3490025288642282 mean_absolute_error 0.32337830676459717 mean_absolute_error 0.29776771229130095 mean_absolute_error 0.3294897707215457 mean_absolute_error 0.332517518386476 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8070500927643784 [0.857143,0.714286] precision 0.6888585099111415 [0.736842,0.6] precision 0.7512977218859571 [0.803922,0.653846] precision 0.7621797440309238 [0.775862,0.736842] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7744982290436836 [0.8,0.727273] precision 0.7323747680890539 [0.767857,0.666667] precision 0.862406015037594 [0.842105,0.9] precision 0.7575115950796532 [0.775862,0.722222] precision 0.7263595496678202 [0.795918,0.592593] predictive_accuracy 0.8051948051948052 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.763157894736842 predictive_accuracy 0.7236842105263157 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.6448078183615209 relative_absolute_error 0.7903832283790945 relative_absolute_error 0.735780411602682 relative_absolute_error 0.755585414169544 relative_absolute_error 0.7853625441343507 relative_absolute_error 0.7670371033235743 relative_absolute_error 0.7107202360556378 relative_absolute_error 0.6544333195592991 relative_absolute_error 0.7282724498649654 relative_absolute_error 0.7349646916443777 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.36021759283399035 root_mean_squared_error 0.44027249846032407 root_mean_squared_error 0.4029126948041119 root_mean_squared_error 0.4069476800894129 root_mean_squared_error 0.4214348840547438 root_mean_squared_error 0.4061124007433783 root_mean_squared_error 0.39712526898830464 root_mean_squared_error 0.37064685797288505 root_mean_squared_error 0.4007245202487785 root_mean_squared_error 0.41478875635207946 root_relative_squared_error 0.7548960486372392 root_relative_squared_error 0.9226644562152599 root_relative_squared_error 0.8443707561878568 root_relative_squared_error 0.8528267408726107 root_relative_squared_error 0.8831870931896342 root_relative_squared_error 0.8510762736817415 root_relative_squared_error 0.8322422400713563 root_relative_squared_error 0.7767523132955012 root_relative_squared_error 0.8445729968144655 root_relative_squared_error 0.8742149913355314 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 unweighted_recall 0.7903703703703704 [0.84,0.740741] unweighted_recall 0.6422222222222222 [0.84,0.444444] unweighted_recall 0.7248148148148148 [0.82,0.62963] unweighted_recall 0.7092592592592593 [0.9,0.518519] unweighted_recall 0.6692592592592592 [0.82,0.518519] unweighted_recall 0.7362962962962962 [0.88,0.592593] unweighted_recall 0.6892592592592592 [0.86,0.518519] unweighted_recall 0.8133333333333332 [0.96,0.666667] unweighted_recall 0.7 [0.9,0.5] unweighted_recall 0.6976923076923077 [0.78,0.615385] usercpu_time_millis 492.8739660008432 usercpu_time_millis 497.5601129990537 usercpu_time_millis 496.6224310010148 usercpu_time_millis 498.7364480002725 usercpu_time_millis 495.2815010001359 usercpu_time_millis 496.68284399922413 usercpu_time_millis 496.8471710017184 usercpu_time_millis 500.894900998901 usercpu_time_millis 496.2328419987898 usercpu_time_millis 495.02735399983067 usercpu_time_millis_testing 31.555857000057586 usercpu_time_millis_testing 27.43802199984202 usercpu_time_millis_testing 27.12124100071378 usercpu_time_millis_testing 27.185181999811903 usercpu_time_millis_testing 27.451197000118555 usercpu_time_millis_testing 29.994362999786972 usercpu_time_millis_testing 29.696951000005356 usercpu_time_millis_testing 30.180601999745704 usercpu_time_millis_testing 27.004817999113584 usercpu_time_millis_testing 27.222674998483853 usercpu_time_millis_training 461.3181090007856 usercpu_time_millis_training 470.12209099921165 usercpu_time_millis_training 469.501190000301 usercpu_time_millis_training 471.5512660004606 usercpu_time_millis_training 467.83030400001735 usercpu_time_millis_training 466.68848099943716 usercpu_time_millis_training 467.150220001713 usercpu_time_millis_training 470.7142989991553 usercpu_time_millis_training 469.2280239996762 usercpu_time_millis_training 467.8046790013468 wall_clock_time_millis 492.8762912750244 wall_clock_time_millis 497.5740909576416 wall_clock_time_millis 496.6268539428711 wall_clock_time_millis 498.73995780944824 wall_clock_time_millis 495.2845573425293 wall_clock_time_millis 496.6871738433838 wall_clock_time_millis 496.85120582580566 wall_clock_time_millis 500.90765953063965 wall_clock_time_millis 496.23680114746094 wall_clock_time_millis 495.03087997436523 wall_clock_time_millis_testing 31.559228897094727 wall_clock_time_millis_testing 27.44150161743164 wall_clock_time_millis_testing 27.124881744384766 wall_clock_time_millis_testing 27.188539505004883 wall_clock_time_millis_testing 27.454137802124023 wall_clock_time_millis_testing 29.998302459716797 wall_clock_time_millis_testing 29.700517654418945 wall_clock_time_millis_testing 30.183792114257812 wall_clock_time_millis_testing 27.008533477783203 wall_clock_time_millis_testing 27.225732803344727 wall_clock_time_millis_training 461.3170623779297 wall_clock_time_millis_training 470.13258934020996 wall_clock_time_millis_training 469.5019721984863 wall_clock_time_millis_training 471.55141830444336 wall_clock_time_millis_training 467.8304195404053 wall_clock_time_millis_training 466.688871383667 wall_clock_time_millis_training 467.1506881713867 wall_clock_time_millis_training 470.72386741638184 wall_clock_time_millis_training 469.22826766967773 wall_clock_time_millis_training 467.8051471710205 weighted_recall 0.8051948051948052 [0.84,0.740741] weighted_recall 0.7012987012987013 [0.84,0.444444] weighted_recall 0.7532467532467533 [0.82,0.62963] weighted_recall 0.7662337662337663 [0.9,0.518519] weighted_recall 0.7142857142857143 [0.82,0.518519] weighted_recall 0.7792207792207793 [0.88,0.592593] weighted_recall 0.7402597402597403 [0.86,0.518519] weighted_recall 0.8571428571428571 [0.96,0.666667] weighted_recall 0.7631578947368421 [0.9,0.5] weighted_recall 0.7236842105263158 [0.78,0.615385]