10590789 32117 VAIBHAV JAISWAL 37 Supervised Classification 19172 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1) 8304361 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 19172 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"}}] 19172 verbose false 19172 bootstrap false 19173 ccp_alpha 0.0 19173 class_weight null 19173 criterion "gini" 19173 max_depth null 19173 max_features "auto" 19173 max_leaf_nodes null 19173 max_samples null 19173 min_impurity_decrease 0.0 19173 min_samples_leaf 1 19173 min_samples_split 2 19173 min_weight_fraction_leaf 0.0 19173 n_estimators 100 19173 n_jobs null 19173 oob_score false 19173 random_state 1362 19173 verbose 0 19173 warm_start false 19173 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22109174 description https://api.openml.org/data/download/22109174/description.xml -1 22109175 predictions https://api.openml.org/data/download/22109175/predictions.arff area_under_roc_curve 0.8261791044776118 [0.826179,0.826179] average_cost 0 f_measure 0.7547522817182194 [0.823755,0.626016] kappa 0.45183714001986086 kb_relative_information_score 0.2887508777825324 mean_absolute_error 0.32924479166666676 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 0.724424782712231 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.40129121024097547 root_relative_squared_error 0.8419151429063672 total_cost 0 unweighted_recall 0.7173134328358208 [0.86,0.574627] area_under_roc_curve 0.8929629629629628 [0.892963,0.892963] area_under_roc_curve 0.7422222222222222 [0.742222,0.742222] area_under_roc_curve 0.8433333333333334 [0.843333,0.843333] area_under_roc_curve 0.8355555555555555 [0.835556,0.835556] area_under_roc_curve 0.7811111111111112 [0.781111,0.781111] area_under_roc_curve 0.8177777777777779 [0.817778,0.817778] area_under_roc_curve 0.8770370370370371 [0.877037,0.877037] area_under_roc_curve 0.8507407407407407 [0.850741,0.850741] area_under_roc_curve 0.8257692307692309 [0.825769,0.825769] area_under_roc_curve 0.7796153846153845 [0.779615,0.779615] 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 0.8023022094980975 [0.854369,0.705882] f_measure 0.6818381618381618 [0.769231,0.52] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.7502951593860684 [0.836364,0.590909] f_measure 0.7083516483516483 [0.788462,0.56] f_measure 0.7782309228227403 [0.831683,0.679245] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.8119639794168095 [0.867925,0.708333] f_measure 0.7459877154745392 [0.815534,0.612245] f_measure 0.7309379217273955 [0.807692,0.583333] kappa 0.5610034207525657 kappa 0.2914110429447853 kappa 0.4777694046721929 kappa 0.43886639676113365 kappa 0.3504601226993866 kappa 0.5110197982816587 kappa 0.48444269397400563 kappa 0.5792349726775957 kappa 0.42879746835443044 kappa 0.39297124600638966 kb_relative_information_score 0.3713327595110251 kb_relative_information_score 0.20788940635231545 kb_relative_information_score 0.3197799743139067 kb_relative_information_score 0.27700847732449124 kb_relative_information_score 0.22255400922368387 kb_relative_information_score 0.25704876539479554 kb_relative_information_score 0.3472845763486079 kb_relative_information_score 0.32681649653700495 kb_relative_information_score 0.28868919882725597 kb_relative_information_score 0.26868068874626144 mean_absolute_error 0.2977922077922079 mean_absolute_error 0.36025974025974017 mean_absolute_error 0.31922077922077935 mean_absolute_error 0.33467532467532457 mean_absolute_error 0.3494805194805195 mean_absolute_error 0.34727272727272723 mean_absolute_error 0.3062337662337662 mean_absolute_error 0.3167532467532467 mean_absolute_error 0.3281578947368422 mean_absolute_error 0.3326315789473683 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 0.8020705709384955 [0.830189,0.75] precision 0.6791935922370705 [0.740741,0.565217] precision 0.7629170829170829 [0.807692,0.68] precision 0.7659791189202955 [0.766667,0.764706] precision 0.7064642282033586 [0.759259,0.608696] precision 0.7775166010460127 [0.823529,0.692308] precision 0.7756322624743677 [0.789474,0.75] precision 0.8172541743970315 [0.821429,0.809524] precision 0.7444626743232158 [0.792453,0.652174] precision 0.7293992557150453 [0.777778,0.636364] predictive_accuracy 0.8051948051948052 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.75 predictive_accuracy 0.736842105263158 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 0.6544871557252467 relative_absolute_error 0.7917781814137957 relative_absolute_error 0.7015828298179925 relative_absolute_error 0.7355488008303358 relative_absolute_error 0.7680876302035057 relative_absolute_error 0.7632353486303137 relative_absolute_error 0.6730399970345098 relative_absolute_error 0.6961596915891305 relative_absolute_error 0.7253285994863262 relative_absolute_error 0.7352168001208627 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 0.36476108530194035 root_mean_squared_error 0.4434106302435554 root_mean_squared_error 0.38970851578163807 root_mean_squared_error 0.4006018199931426 root_mean_squared_error 0.41685121454175356 root_mean_squared_error 0.4035491891355353 root_mean_squared_error 0.3797299108508642 root_mean_squared_error 0.38996003791264455 root_mean_squared_error 0.39752854912373414 root_mean_squared_error 0.42141990560734705 root_relative_squared_error 0.7644176949401981 root_relative_squared_error 0.92924093479485 root_relative_squared_error 0.8166991966420188 root_relative_squared_error 0.8395279325767957 root_relative_squared_error 0.8735812491874232 root_relative_squared_error 0.8457046362240631 root_relative_squared_error 0.7957873656181943 root_relative_squared_error 0.8172263032204283 root_relative_squared_error 0.8378371202348753 root_relative_squared_error 0.8881909007592134 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 0.7733333333333333 [0.88,0.666667] unweighted_recall 0.6407407407407407 [0.8,0.481481] unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.7007407407407408 [0.92,0.481481] unweighted_recall 0.6692592592592592 [0.82,0.518519] unweighted_recall 0.7533333333333333 [0.84,0.666667] unweighted_recall 0.7277777777777779 [0.9,0.555556] unweighted_recall 0.7748148148148148 [0.92,0.62963] unweighted_recall 0.7084615384615385 [0.84,0.576923] unweighted_recall 0.6892307692307692 [0.84,0.538462] usercpu_time_millis 250 usercpu_time_millis 218.75 usercpu_time_millis 203.125 usercpu_time_millis 203.125 usercpu_time_millis 203.125 usercpu_time_millis 218.75 usercpu_time_millis 203.125 usercpu_time_millis 203.125 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 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 234.375 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 203.125 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 wall_clock_time_millis 253.83281707763672 wall_clock_time_millis 209.87892150878906 wall_clock_time_millis 210.88147163391113 wall_clock_time_millis 203.87911796569824 wall_clock_time_millis 204.8797607421875 wall_clock_time_millis 214.8752212524414 wall_clock_time_millis 205.88159561157227 wall_clock_time_millis 201.88307762145996 wall_clock_time_millis 198.8809108734131 wall_clock_time_millis 201.90095901489258 wall_clock_time_millis_testing 17.98701286315918 wall_clock_time_millis_testing 18.988370895385742 wall_clock_time_millis_testing 15.992879867553711 wall_clock_time_millis_testing 15.990734100341797 wall_clock_time_millis_testing 16.97397232055664 wall_clock_time_millis_testing 20.986557006835938 wall_clock_time_millis_testing 15.9912109375 wall_clock_time_millis_testing 17.009258270263672 wall_clock_time_millis_testing 15.969038009643555 wall_clock_time_millis_testing 16.008853912353516 wall_clock_time_millis_training 235.84580421447754 wall_clock_time_millis_training 190.89055061340332 wall_clock_time_millis_training 194.88859176635742 wall_clock_time_millis_training 187.88838386535645 wall_clock_time_millis_training 187.90578842163086 wall_clock_time_millis_training 193.88866424560547 wall_clock_time_millis_training 189.89038467407227 wall_clock_time_millis_training 184.8738193511963 wall_clock_time_millis_training 182.91187286376953 wall_clock_time_millis_training 185.89210510253906 weighted_recall 0.8051948051948052 [0.88,0.666667] weighted_recall 0.6883116883116883 [0.8,0.481481] weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.7662337662337663 [0.92,0.481481] weighted_recall 0.7142857142857143 [0.82,0.518519] weighted_recall 0.7792207792207793 [0.84,0.666667] weighted_recall 0.7792207792207793 [0.9,0.555556] weighted_recall 0.8181818181818182 [0.92,0.62963] weighted_recall 0.75 [0.84,0.576923] weighted_recall 0.7368421052631579 [0.84,0.538462]