10591625 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19162 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1) 8304103 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 ccp_alpha 0.0 19085 class_weight null 19085 criterion "gini" 19085 max_depth null 19085 max_features null 19085 max_leaf_nodes null 19085 min_impurity_decrease 0.0 19085 min_samples_leaf 1 19085 min_samples_split 2 19085 min_weight_fraction_leaf 0.0 19085 random_state 0 19085 splitter "best" 19085 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 19162 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"}}] 19162 verbose false 19162 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22110856 description https://api.openml.org/data/download/22110856/description.xml -1 22110857 predictions https://api.openml.org/data/download/22110857/predictions.arff area_under_roc_curve 0.9937753471795501 [0.993775,0.993775] average_cost 0 f_measure 0.9933520560625904 [0.994924,0.990338] kappa 0.9852622028224967 kb_relative_information_score 0.9845768065287426 mean_absolute_error 0.0066555740432612314 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.9933444259567388 [0.992405,0.995146] number_of_instances 601 [395,206] precision 0.9933839552334809 [0.997455,0.985577] predictive_accuracy 0.9933444259567388 prior_entropy 0.9274381882789376 relative_absolute_error 0.014766653810127255 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.08158170164480041 root_relative_squared_error 0.17188374657704186 total_cost 0 unweighted_recall 0.9937753471795502 [0.992405,0.995146] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9625 [0.9625,0.9625] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9743589743589743 [0.974359,0.974359] 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 1 [1,1] f_measure 1 [1,1] f_measure 0.9666666666666667 [0.975,0.95] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.9669856459330144 [0.973684,0.954545] kappa 1 kappa 1 kappa 0.925 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 1 kappa 0.9283154121863799 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 0.922013507617644 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 1 kb_relative_information_score 0.9233155888712753 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.03333333333333333 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0 mean_absolute_error 0.03333333333333333 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 1 [1,1] precision 1 [1,1] precision 0.9666666666666667 [0.975,0.95] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 1 [1,1] precision 0.9695652173913043 [1,0.913043] predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9666666666666667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9666666666666667 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 relative_absolute_error 0 relative_absolute_error 0.07444444444444437 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0 relative_absolute_error 0.07358594179022508 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 root_mean_squared_error 0 root_mean_squared_error 0.18257418583505536 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0 root_mean_squared_error 0.18257418583505536 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.387212086243184 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0 root_relative_squared_error 0.38274155673813115 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 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9624999999999999 [0.975,0.95] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] unweighted_recall 0.9743589743589743 [0.948718,1] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 14.991521835327148 wall_clock_time_millis 14.989852905273438 wall_clock_time_millis 12.992620468139648 wall_clock_time_millis 13.993978500366211 wall_clock_time_millis 13.994216918945312 wall_clock_time_millis 24.991512298583984 wall_clock_time_millis 28.98120880126953 wall_clock_time_millis 15.990495681762695 wall_clock_time_millis 17.990827560424805 wall_clock_time_millis 16.993284225463867 wall_clock_time_millis_testing 2.9993057250976562 wall_clock_time_millis_testing 3.0159950256347656 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 3.9997100830078125 wall_clock_time_millis_testing 2.997875213623047 wall_clock_time_millis_testing 6.99925422668457 wall_clock_time_millis_testing 5.996227264404297 wall_clock_time_millis_testing 5.993366241455078 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 4.001855850219727 wall_clock_time_millis_training 11.992216110229492 wall_clock_time_millis_training 11.973857879638672 wall_clock_time_millis_training 10.994195938110352 wall_clock_time_millis_training 9.994268417358398 wall_clock_time_millis_training 10.996341705322266 wall_clock_time_millis_training 17.992258071899414 wall_clock_time_millis_training 22.984981536865234 wall_clock_time_millis_training 9.997129440307617 wall_clock_time_millis_training 15.990972518920898 wall_clock_time_millis_training 12.99142837524414 weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9666666666666667 [0.975,0.95] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 1 [1,1] weighted_recall 0.9666666666666667 [0.948718,1]