10591148 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304420 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19170 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 60093 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22109892 description https://api.openml.org/data/download/22109892/description.xml -1 22109893 predictions https://api.openml.org/data/download/22109893/predictions.arff area_under_roc_curve 0.9217033304657736 [0.921703,0.921703] average_cost 0 f_measure 0.8449076623437185 [0.897436,0.744186] kappa 0.6471498719043554 kb_relative_information_score 0.3132284827998523 mean_absolute_error 0.325301470718008 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.8535773710482529 [0.974684,0.621359] number_of_instances 601 [395,206] precision 0.8644395795511358 [0.831533,0.927536] predictive_accuracy 0.8535773710482529 prior_entropy 0.9274381882789376 relative_absolute_error 0.7217430338532155 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.37315666803283226 root_relative_squared_error 0.786200396272031 total_cost 0 unweighted_recall 0.7980213838023842 [0.974684,0.621359] area_under_roc_curve 0.9678571428571427 [0.967857,0.967857] area_under_roc_curve 0.9324999999999999 [0.9325,0.9325] area_under_roc_curve 0.8875 [0.8875,0.8875] area_under_roc_curve 0.91375 [0.91375,0.91375] area_under_roc_curve 0.9875 [0.9875,0.9875] area_under_roc_curve 0.8485958485958487 [0.848596,0.848596] area_under_roc_curve 0.9902319902319903 [0.990232,0.990232] area_under_roc_curve 0.9328449328449329 [0.932845,0.932845] area_under_roc_curve 0.9511599511599511 [0.95116,0.95116] area_under_roc_curve 0.7667887667887668 [0.766789,0.766789] 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 0.9175391571766355 [0.938272,0.878049] f_measure 0.7463162086817999 [0.860215,0.518519] f_measure 0.789329685362517 [0.860465,0.647059] f_measure 0.8244414044687643 [0.883721,0.705882] f_measure 0.9131652661064427 [0.941176,0.857143] f_measure 0.7954693729612179 [0.876404,0.645161] f_measure 0.8764705882352942 [0.917647,0.8] f_measure 0.8571819425444597 [0.906977,0.764706] f_measure 0.9135460761966787 [0.939759,0.864865] f_measure 0.7904761904761904 [0.857143,0.666667] kappa 0.8163756773028297 kappa 0.417910447761194 kappa 0.5135135135135136 kappa 0.5945945945945946 kappa 0.7999999999999999 kappa 0.5416666666666666 kappa 0.7222222222222222 kappa 0.6787148594377511 kappa 0.8062015503875969 kappa 0.5294117647058825 kb_relative_information_score 0.38572788614067655 kb_relative_information_score 0.3160183336889434 kb_relative_information_score 0.27054368731935424 kb_relative_information_score 0.3122723473871584 kb_relative_information_score 0.40447675917552817 kb_relative_information_score 0.21098072970567094 kb_relative_information_score 0.3484759305746942 kb_relative_information_score 0.3469491632102031 kb_relative_information_score 0.38876663439719267 kb_relative_information_score 0.14813014035769084 mean_absolute_error 0.3015437406982446 mean_absolute_error 0.3159473198740817 mean_absolute_error 0.3328740599497273 mean_absolute_error 0.318725562602233 mean_absolute_error 0.29027707462390606 mean_absolute_error 0.3656653218133511 mean_absolute_error 0.32234548979648553 mean_absolute_error 0.3141996056688914 mean_absolute_error 0.301868512401458 mean_absolute_error 0.38996398191869736 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.9175929628148742 [0.926829,0.9] precision 0.8364779874213837 [0.754717,1] precision 0.798136645962733 [0.804348,0.785714] precision 0.836438923395445 [0.826087,0.857143] precision 0.9259259259259259 [0.888889,1] precision 0.857 [0.78,1] precision 0.9010869565217391 [0.847826,1] precision 0.8893617021276596 [0.829787,1] precision 0.9261363636363636 [0.886364,1] precision 0.8 [0.8,0.8] predictive_accuracy 0.9180327868852458 predictive_accuracy 0.7833333333333333 predictive_accuracy 0.8 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.8166666666666668 predictive_accuracy 0.8833333333333333 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.8 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 0.6683347441614558 relative_absolute_error 0.705615681052115 relative_absolute_error 0.7434187338877236 relative_absolute_error 0.7118204231449863 relative_absolute_error 0.6482854666600563 relative_absolute_error 0.8072348125698353 relative_absolute_error 0.7116028934551732 relative_absolute_error 0.6936202167978814 relative_absolute_error 0.6663983634562659 relative_absolute_error 0.8608760062126095 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.34610591019043435 root_mean_squared_error 0.37328131591739805 root_mean_squared_error 0.38594890234677015 root_mean_squared_error 0.3727302404150515 root_mean_squared_error 0.3378728183486713 root_mean_squared_error 0.4095314303239508 root_mean_squared_error 0.3570349893694331 root_mean_squared_error 0.36401938538316975 root_mean_squared_error 0.3480090501103405 root_mean_squared_error 0.427553747557298 root_relative_squared_error 0.728447548483034 root_relative_squared_error 0.7916729105535157 root_relative_squared_error 0.8185389351590666 root_relative_squared_error 0.7905041632086204 root_relative_squared_error 0.716576871364766 root_relative_squared_error 0.8585260641227324 root_relative_squared_error 0.7484745284018178 root_relative_squared_error 0.7631163497028218 root_relative_squared_error 0.7295528937400045 root_relative_squared_error 0.8963073622967886 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 0.9035714285714285 [0.95,0.857143] unweighted_recall 0.675 [1,0.35] unweighted_recall 0.7375 [0.925,0.55] unweighted_recall 0.7749999999999999 [0.95,0.6] unweighted_recall 0.875 [1,0.75] unweighted_recall 0.7380952380952381 [1,0.47619] unweighted_recall 0.8333333333333333 [1,0.666667] unweighted_recall 0.8095238095238095 [1,0.619048] unweighted_recall 0.8809523809523809 [1,0.761905] unweighted_recall 0.7472527472527473 [0.923077,0.571429] usercpu_time_millis 125 usercpu_time_millis 109.375 usercpu_time_millis 125 usercpu_time_millis 109.375 usercpu_time_millis 125 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis 109.375 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 wall_clock_time_millis 113.9376163482666 wall_clock_time_millis 122.93219566345215 wall_clock_time_millis 121.95110321044922 wall_clock_time_millis 112.95461654663086 wall_clock_time_millis 112.9152774810791 wall_clock_time_millis 111.93656921386719 wall_clock_time_millis 111.95659637451172 wall_clock_time_millis 113.91401290893555 wall_clock_time_millis 112.95819282531738 wall_clock_time_millis 113.95573616027832 wall_clock_time_millis_testing 3.9789676666259766 wall_clock_time_millis_testing 4.97746467590332 wall_clock_time_millis_testing 3.998279571533203 wall_clock_time_millis_testing 4.02069091796875 wall_clock_time_millis_testing 3.9980411529541016 wall_clock_time_millis_testing 3.9756298065185547 wall_clock_time_millis_testing 4.017829895019531 wall_clock_time_millis_testing 3.9780139923095703 wall_clock_time_millis_testing 3.019571304321289 wall_clock_time_millis_testing 3.9987564086914062 wall_clock_time_millis_training 109.95864868164062 wall_clock_time_millis_training 117.95473098754883 wall_clock_time_millis_training 117.95282363891602 wall_clock_time_millis_training 108.93392562866211 wall_clock_time_millis_training 108.917236328125 wall_clock_time_millis_training 107.96093940734863 wall_clock_time_millis_training 107.93876647949219 wall_clock_time_millis_training 109.93599891662598 wall_clock_time_millis_training 109.9386215209961 wall_clock_time_millis_training 109.95697975158691 weighted_recall 0.9180327868852459 [0.95,0.857143] weighted_recall 0.7833333333333333 [1,0.35] weighted_recall 0.8 [0.925,0.55] weighted_recall 0.8333333333333334 [0.95,0.6] weighted_recall 0.9166666666666666 [1,0.75] weighted_recall 0.8166666666666667 [1,0.47619] weighted_recall 0.8833333333333333 [1,0.666667] weighted_recall 0.8666666666666667 [1,0.619048] weighted_recall 0.9166666666666666 [1,0.761905] weighted_recall 0.8 [0.923077,0.571429]