10591618 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) 8304107 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 0 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 22110842 description https://api.openml.org/data/download/22110842/description.xml -1 22110843 predictions https://api.openml.org/data/download/22110843/predictions.arff area_under_roc_curve 0.9216664618409734 [0.921666,0.921666] average_cost 0 f_measure 0.8433227412877028 [0.896149,0.742029] kappa 0.643589623993017 kb_relative_information_score 0.3138920403034464 mean_absolute_error 0.3252610123967438 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.8519134775374376 [0.972152,0.621359] number_of_instances 601 [395,206] precision 0.8619126955712264 [0.831169,0.920863] predictive_accuracy 0.8519134775374375 prior_entropy 0.9274381882789376 relative_absolute_error 0.7216532693911324 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.3731497148525574 root_relative_squared_error 0.7861857466796325 total_cost 0 unweighted_recall 0.796755561017574 [0.972152,0.621359] 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 0.8437118437118438 [0.843712,0.843712] 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 0.7801136363636363 [0.863636,0.625] 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 0.506172839506173 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 0.2140936268477129 kb_relative_information_score 0.3484759305746942 kb_relative_information_score 0.3469491632102031 kb_relative_information_score 0.38876663439719267 kb_relative_information_score 0.15161568425939115 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 0.3645712845125845 mean_absolute_error 0.32234548979648553 mean_absolute_error 0.3141996056688914 mean_absolute_error 0.301868512401458 mean_absolute_error 0.39065276170146734 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 0.8222634508348794 [0.77551,0.909091] 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 0.8 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 0.8048196396159191 relative_absolute_error 0.7116028934551732 relative_absolute_error 0.6936202167978814 relative_absolute_error 0.6663983634562659 relative_absolute_error 0.8623965414826453 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 0.40776959461924217 root_mean_squared_error 0.3570349893694331 root_mean_squared_error 0.36401938538316975 root_mean_squared_error 0.3480090501103405 root_mean_squared_error 0.4291738326862563 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 0.8548326189773917 root_relative_squared_error 0.7484745284018178 root_relative_squared_error 0.7631163497028218 root_relative_squared_error 0.7295528937400045 root_relative_squared_error 0.8997036469438743 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 0.7252747252747253 [0.974359,0.47619] 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 109.375 usercpu_time_millis 140.625 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 93.75 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_training 109.375 usercpu_time_millis_training 125 usercpu_time_millis_training 93.75 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 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 125 wall_clock_time_millis 110.93544960021973 wall_clock_time_millis 157.88817405700684 wall_clock_time_millis 105.9427261352539 wall_clock_time_millis 112.91265487670898 wall_clock_time_millis 106.93836212158203 wall_clock_time_millis 112.95723915100098 wall_clock_time_millis 107.91897773742676 wall_clock_time_millis 107.93876647949219 wall_clock_time_millis 112.91217803955078 wall_clock_time_millis 123.90756607055664 wall_clock_time_millis_testing 5.974531173706055 wall_clock_time_millis_testing 2.9969215393066406 wall_clock_time_millis_testing 3.9980411529541016 wall_clock_time_millis_testing 3.976583480834961 wall_clock_time_millis_testing 3.9801597595214844 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_testing 5.000829696655273 wall_clock_time_millis_testing 2.9964447021484375 wall_clock_time_millis_testing 3.997325897216797 wall_clock_time_millis_testing 3.9970874786376953 wall_clock_time_millis_training 104.96091842651367 wall_clock_time_millis_training 154.8912525177002 wall_clock_time_millis_training 101.9446849822998 wall_clock_time_millis_training 108.93607139587402 wall_clock_time_millis_training 102.95820236206055 wall_clock_time_millis_training 109.95888710021973 wall_clock_time_millis_training 102.91814804077148 wall_clock_time_millis_training 104.94232177734375 wall_clock_time_millis_training 108.91485214233398 wall_clock_time_millis_training 119.91047859191895 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 0.8 [0.974359,0.47619] 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]