10591593 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19168 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8304106 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 19168 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"}}] 19168 verbose false 19168 algorithm "SAMME.R" 19169 base_estimator null 19169 learning_rate 1.0 19169 n_estimators 50 19169 random_state 0 19169 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22110792 description https://api.openml.org/data/download/22110792/description.xml -1 22110793 predictions https://api.openml.org/data/download/22110793/predictions.arff area_under_roc_curve 0.5643234607349146 [0.564323,0.564323] average_cost 0 f_measure 0.48377135198783655 [0.736067,0] kappa -0.14012440386664732 kb_relative_information_score -0.17983219613732446 mean_absolute_error 0.49868348434629006 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.5823627287853578 [0.886076,0] number_of_instances 601 [395,206] precision 0.41372891703276315 [0.629496,0] predictive_accuracy 0.5823627287853577 prior_entropy 0.9274381882789376 relative_absolute_error 1.1064239277189944 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.4987001197253446 root_relative_squared_error 1.0507067549292142 total_cost 0 unweighted_recall 0.4430379746835443 [0.886076,0] area_under_roc_curve 0.5416666666666666 [0.541667,0.541667] area_under_roc_curve 0.4725 [0.4725,0.4725] area_under_roc_curve 0.73875 [0.73875,0.73875] area_under_roc_curve 0.54875 [0.54875,0.54875] area_under_roc_curve 0.6662499999999999 [0.66625,0.66625] area_under_roc_curve 0.42124542124542125 [0.421245,0.421245] area_under_roc_curve 0.5543345543345544 [0.554335,0.554335] area_under_roc_curve 0.7155067155067155 [0.715507,0.715507] area_under_roc_curve 0.4908424908424908 [0.490842,0.490842] area_under_roc_curve 0.4884004884004884 [0.4884,0.4884] 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 0.4781420765027322 [0.729167,0] f_measure 0.45421245421245426 [0.681319,0] f_measure 0.5170068027210885 [0.77551,0] f_measure 0.49122807017543857 [0.736842,0] f_measure 0.5085910652920963 [0.762887,0] f_measure 0.4702127659574468 [0.723404,0] f_measure 0.5040816326530612 [0.77551,0] f_measure 0.5040816326530612 [0.77551,0] f_measure 0.4612903225806452 [0.709677,0] f_measure 0.4428571428571429 [0.681319,0] kappa -0.15261627906976738 kappa -0.26086956521739124 kappa -0.06451612903225816 kappa -0.15384615384615358 kappa -0.09523809523809522 kappa -0.15555555555555559 kappa -0.03286384976525835 kappa -0.03286384976525835 kappa -0.18421052631578935 kappa -0.23931623931623913 kb_relative_information_score -0.1779436241753747 kb_relative_information_score -0.19316323270062472 kb_relative_information_score -0.19063399062228042 kb_relative_information_score -0.19337977151629882 kb_relative_information_score -0.191086441679493 kb_relative_information_score -0.17201565549230316 kb_relative_information_score -0.16978968276245823 kb_relative_information_score -0.16873212926717215 kb_relative_information_score -0.17095885874157268 kb_relative_information_score -0.17145603912804114 mean_absolute_error 0.4987266534757543 mean_absolute_error 0.49883414901911555 mean_absolute_error 0.4980304491797039 mean_absolute_error 0.4988984688866615 mean_absolute_error 0.4981739838981456 mean_absolute_error 0.499292503419948 mean_absolute_error 0.49857684972677413 mean_absolute_error 0.498235258514598 mean_absolute_error 0.49895357959494085 mean_absolute_error 0.49911222826176643 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 0.4098360655737705 [0.625,0] precision 0.40522875816993464 [0.607843,0] precision 0.43678160919540227 [0.655172,0] precision 0.4242424242424242 [0.636364,0] precision 0.4327485380116959 [0.649123,0] precision 0.4018181818181818 [0.618182,0] precision 0.4186440677966102 [0.644068,0] precision 0.4186440677966102 [0.644068,0] precision 0.39722222222222225 [0.611111,0] precision 0.3875 [0.596154,0] predictive_accuracy 0.5737704918032787 predictive_accuracy 0.5166666666666666 predictive_accuracy 0.6333333333333333 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.6166666666666667 predictive_accuracy 0.5666666666666667 predictive_accuracy 0.6333333333333333 predictive_accuracy 0.6333333333333333 predictive_accuracy 0.55 predictive_accuracy 0.5166666666666666 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 1.1053665036634521 relative_absolute_error 1.114062932809357 relative_absolute_error 1.1122680031680041 relative_absolute_error 1.1142065805135428 relative_absolute_error 1.1125885640391906 relative_absolute_error 1.1022272727886817 relative_absolute_error 1.100647411258446 relative_absolute_error 1.0998933219267886 relative_absolute_error 1.1014790719229326 relative_absolute_error 1.1018293012697962 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 0.4987415813994495 root_mean_squared_error 0.4988519821398146 root_mean_squared_error 0.49804828795214895 root_mean_squared_error 0.49891211874675756 root_mean_squared_error 0.49819214364235076 root_mean_squared_error 0.4993087254874713 root_mean_squared_error 0.49859524728887267 root_mean_squared_error 0.49825122583100384 root_mean_squared_error 0.49896964053151244 root_mean_squared_error 0.4991279577887955 root_relative_squared_error 1.0496991573968841 root_relative_squared_error 1.0579891995542832 root_relative_squared_error 1.056284686390584 root_relative_squared_error 1.0581167401533413 root_relative_squared_error 1.056589782435056 root_relative_squared_error 1.0467317600893464 root_relative_squared_error 1.0452360516178483 root_relative_squared_error 1.0445148581603296 root_relative_squared_error 1.0460209153260707 root_relative_squared_error 1.0463528055833593 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 0.4375 [0.875,0] unweighted_recall 0.3875 [0.775,0] unweighted_recall 0.475 [0.95,0] unweighted_recall 0.4375 [0.875,0] unweighted_recall 0.4625 [0.925,0] unweighted_recall 0.4358974358974359 [0.871795,0] unweighted_recall 0.48717948717948717 [0.974359,0] unweighted_recall 0.48717948717948717 [0.974359,0] unweighted_recall 0.4230769230769231 [0.846154,0] unweighted_recall 0.3974358974358974 [0.794872,0] usercpu_time_millis 140.625 usercpu_time_millis 171.875 usercpu_time_millis 156.25 usercpu_time_millis 156.25 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis 140.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 125 usercpu_time_millis_training 156.25 usercpu_time_millis_training 140.625 usercpu_time_millis_training 140.625 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125 wall_clock_time_millis 142.8983211517334 wall_clock_time_millis 212.87250518798828 wall_clock_time_millis 147.91178703308105 wall_clock_time_millis 146.91686630249023 wall_clock_time_millis 141.91722869873047 wall_clock_time_millis 136.92045211791992 wall_clock_time_millis 148.91839027404785 wall_clock_time_millis 150.91204643249512 wall_clock_time_millis 145.91169357299805 wall_clock_time_millis 136.92188262939453 wall_clock_time_millis_testing 12.992143630981445 wall_clock_time_millis_testing 17.987728118896484 wall_clock_time_millis_testing 11.988639831542969 wall_clock_time_millis_testing 12.995481491088867 wall_clock_time_millis_testing 13.010263442993164 wall_clock_time_millis_testing 11.989355087280273 wall_clock_time_millis_testing 15.991449356079102 wall_clock_time_millis_testing 15.993118286132812 wall_clock_time_millis_testing 12.98975944519043 wall_clock_time_millis_testing 12.990713119506836 wall_clock_time_millis_training 129.90617752075195 wall_clock_time_millis_training 194.8847770690918 wall_clock_time_millis_training 135.9231472015381 wall_clock_time_millis_training 133.92138481140137 wall_clock_time_millis_training 128.9069652557373 wall_clock_time_millis_training 124.93109703063965 wall_clock_time_millis_training 132.92694091796875 wall_clock_time_millis_training 134.9189281463623 wall_clock_time_millis_training 132.92193412780762 wall_clock_time_millis_training 123.9311695098877 weighted_recall 0.5737704918032787 [0.875,0] weighted_recall 0.5166666666666667 [0.775,0] weighted_recall 0.6333333333333333 [0.95,0] weighted_recall 0.5833333333333334 [0.875,0] weighted_recall 0.6166666666666667 [0.925,0] weighted_recall 0.5666666666666667 [0.871795,0] weighted_recall 0.6333333333333333 [0.974359,0] weighted_recall 0.6333333333333333 [0.974359,0] weighted_recall 0.55 [0.846154,0] weighted_recall 0.5166666666666666 [0.794872,0]