10576183 28997 Marc Boel 16 Supervised Classification 19037 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8292465 Python_3.8.10. Sklearn_0.24.2. NumPy_1.17.4. SciPy_1.3.3. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "median" 18819 verbose 0 18819 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 memory null 19037 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19037 verbose false 19037 ccp_alpha 0.0 19038 criterion "friedman_mse" 19038 init null 19038 learning_rate 0.561264274172269 19038 loss "deviance" 19038 max_depth 3 19038 max_features null 19038 max_leaf_nodes 1727 19038 min_impurity_decrease 0.0 19038 min_impurity_split null 19038 min_samples_leaf 163 19038 min_samples_split 2 19038 min_weight_fraction_leaf 0.0 19038 n_estimators 100 19038 n_iter_no_change 16 19038 random_state 2817 19038 subsample 1.0 19038 tol 0.0001 19038 validation_fraction 0.02938579517740913 19038 verbose 0 19038 warm_start false 19038 openml-python Sklearn_0.24.2. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 22078633 description https://api.openml.org/data/download/22078633/description.xml -1 22078634 predictions https://api.openml.org/data/download/22078634/predictions.arff area_under_roc_curve 0.9974411111111112 [0.999658,0.997814,0.999822,0.993992,0.997156,0.995986,0.995333,0.999433,0.997456,0.997761] average_cost 0 f_measure 0.958051130341455 [0.982456,0.943765,0.987469,0.937965,0.96,0.934343,0.961832,0.972431,0.952618,0.947631] kappa 0.9533333333333333 kb_relative_information_score 0.9572948177800025 mean_absolute_error 0.009718848744925053 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.958 [0.98,0.965,0.985,0.945,0.96,0.925,0.945,0.97,0.955,0.95] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9582902753032843 [0.984925,0.923445,0.98995,0.931034,0.96,0.943878,0.979275,0.974874,0.950249,0.945274] predictive_accuracy 0.958 prior_entropy 3.3219280948872383 relative_absolute_error 0.05399360413847085 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.0819387963275658 root_relative_squared_error 0.2731293210918818 total_cost 0 unweighted_recall 0.9579999999999999 [0.98,0.965,0.985,0.945,0.96,0.925,0.945,0.97,0.955,0.95] area_under_roc_curve 0.9986111111111111 [0.997778,0.998611,1,1,1,0.995,0.998889,1,0.995833,1] area_under_roc_curve 0.9985833333333334 [1,0.997222,1,0.993611,1,0.996667,1,0.998889,1,0.999444] area_under_roc_curve 0.99875 [1,0.995833,1,1,1,0.998889,1,0.996111,1,0.996667] area_under_roc_curve 0.9980555555555556 [1,0.998889,1,0.991944,0.994444,0.9975,1,0.999722,1,0.998056] area_under_roc_curve 0.9973055555555556 [0.999444,0.996944,1,0.985833,0.996111,0.995833,1,1,0.999444,0.999444] area_under_roc_curve 0.9981666666666666 [1,0.998889,1,1,0.9975,0.993333,0.999167,0.999167,0.9975,0.996111] area_under_roc_curve 0.9986944444444446 [0.999444,0.999167,0.999444,0.998889,1,0.996944,1,0.999722,0.996389,0.996944] area_under_roc_curve 0.9979444444444445 [1,0.999722,1,0.999722,0.997778,0.996944,0.994444,1,0.991667,0.999167] area_under_roc_curve 0.9986944444444444 [0.999722,1,1,0.989167,1,0.998333,0.999722,1,1,1] area_under_roc_curve 0.9942222222222223 [0.999444,0.996111,1,0.999167,0.995278,0.998333,0.959722,1,0.995278,0.998889] 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 0.95996336996337 [0.974359,0.923077,1,0.952381,1,0.974359,0.923077,1,0.9,0.952381] f_measure 0.9548440989904404 [1,0.926829,1,0.871795,0.974359,0.9,1,0.923077,1,0.952381] f_measure 0.9753479853479854 [1,0.974359,1,0.974359,1,0.95,1,0.95,1,0.904762] f_measure 0.9699776175899408 [1,0.926829,0.97561,0.947368,0.95,0.95,1,0.97561,1,0.974359] f_measure 0.9548470784671039 [0.97561,0.909091,0.947368,0.894737,0.947368,0.923077,1,1,0.97561,0.97561] f_measure 0.9544392406908453 [1,0.952381,0.97561,0.97561,0.923077,0.95,0.894737,0.97561,0.95,0.947368] f_measure 0.9452770433258239 [0.974359,0.95,0.974359,0.904762,0.97561,0.9,1,0.95,0.904762,0.918919] f_measure 0.9552243724194942 [1,0.95,1,0.97561,0.909091,0.918919,0.974359,0.974359,0.923077,0.926829] f_measure 0.9700995688094532 [0.95,1,1,0.926829,0.97561,0.926829,0.947368,1,0.974359,1] f_measure 0.9399212700803887 [0.95,0.930233,1,0.952381,0.947368,0.95,0.871795,0.974359,0.9,0.923077] kappa 0.9555555555555555 kappa 0.95 kappa 0.9722222222222222 kappa 0.9666666666666667 kappa 0.95 kappa 0.95 kappa 0.9388888888888889 kappa 0.95 kappa 0.9666666666666667 kappa 0.9333333333333332 kb_relative_information_score 0.958284093823477 kb_relative_information_score 0.9540922131403682 kb_relative_information_score 0.9658718211373738 kb_relative_information_score 0.9620515241679191 kb_relative_information_score 0.9548319681559078 kb_relative_information_score 0.9580052098733599 kb_relative_information_score 0.9520595434118121 kb_relative_information_score 0.9585820981983249 kb_relative_information_score 0.9691280601062018 kb_relative_information_score 0.9400416457849307 mean_absolute_error 0.009250410509271043 mean_absolute_error 0.010607460819657154 mean_absolute_error 0.009244421043872339 mean_absolute_error 0.009168380619330592 mean_absolute_error 0.010103939994049856 mean_absolute_error 0.008949917889082027 mean_absolute_error 0.010787498876841349 mean_absolute_error 0.009589769114318055 mean_absolute_error 0.007031253238323032 mean_absolute_error 0.012455435344504873 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.9612918660287082 [1,0.947368,1,0.909091,1,1,0.947368,1,0.9,0.909091] precision 0.9555958077010709 [1,0.904762,1,0.894737,1,0.9,1,0.947368,1,0.909091] precision 0.9763636363636364 [1,1,1,1,1,0.95,1,0.95,1,0.863636] precision 0.9709523809523809 [1,0.904762,0.952381,1,0.95,0.95,1,0.952381,1,1] precision 0.9582289055973265 [0.952381,0.833333,1,0.944444,1,0.947368,1,1,0.952381,0.952381] precision 0.9558046631730842 [1,0.909091,0.952381,0.952381,0.947368,0.95,0.944444,0.952381,0.95,1] precision 0.9479653679653681 [1,0.95,1,0.863636,0.952381,0.9,1,0.95,0.863636,1] precision 0.9587844611528823 [1,0.95,1,0.952381,0.833333,1,1,1,0.947368,0.904762] precision 0.9711904761904762 [0.95,1,1,0.904762,0.952381,0.904762,1,1,1,1] precision 0.9420761389640109 [0.95,0.869565,1,0.909091,1,0.95,0.894737,1,0.9,0.947368] predictive_accuracy 0.96 predictive_accuracy 0.955 predictive_accuracy 0.975 predictive_accuracy 0.97 predictive_accuracy 0.955 predictive_accuracy 0.955 predictive_accuracy 0.945 predictive_accuracy 0.955 predictive_accuracy 0.97 predictive_accuracy 0.94 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.051391169495950295 relative_absolute_error 0.05893033788698425 relative_absolute_error 0.05135789468817972 relative_absolute_error 0.050935447885170015 relative_absolute_error 0.0561329999669437 relative_absolute_error 0.04972176605045576 relative_absolute_error 0.059930549315785335 relative_absolute_error 0.053276495079544815 relative_absolute_error 0.039062517990683554 relative_absolute_error 0.06919686302502714 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.07870898652657725 root_mean_squared_error 0.08387295333275556 root_mean_squared_error 0.06839674318709302 root_mean_squared_error 0.0736309768714017 root_mean_squared_error 0.0873917097788402 root_mean_squared_error 0.08303874690756387 root_mean_squared_error 0.08752884193751967 root_mean_squared_error 0.08146063701813404 root_mean_squared_error 0.06928961530735071 root_mean_squared_error 0.10089262892726109 root_relative_squared_error 0.2623632884219243 root_relative_squared_error 0.27957651110918535 root_relative_squared_error 0.22798914395697686 root_relative_squared_error 0.24543658957133915 root_relative_squared_error 0.29130569926280087 root_relative_squared_error 0.27679582302521305 root_relative_squared_error 0.2917628064583991 root_relative_squared_error 0.27153545672711366 root_relative_squared_error 0.23096538435783587 root_relative_squared_error 0.33630876309087043 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 0.96 [0.95,0.9,1,1,1,0.95,0.9,1,0.9,1] unweighted_recall 0.9550000000000001 [1,0.95,1,0.85,0.95,0.9,1,0.9,1,1] unweighted_recall 0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95] unweighted_recall 0.97 [1,0.95,1,0.9,0.95,0.95,1,1,1,0.95] unweighted_recall 0.9550000000000001 [1,1,0.9,0.85,0.9,0.9,1,1,1,1] unweighted_recall 0.9550000000000001 [1,1,1,1,0.9,0.95,0.85,1,0.95,0.9] unweighted_recall 0.945 [0.95,0.95,0.95,0.95,1,0.9,1,0.95,0.95,0.85] unweighted_recall 0.9549999999999998 [1,0.95,1,1,1,0.85,0.95,0.95,0.9,0.95] unweighted_recall 0.9700000000000001 [0.95,1,1,0.95,1,0.95,0.9,1,0.95,1] unweighted_recall 0.9400000000000001 [0.95,1,1,1,0.9,0.95,0.85,0.95,0.9,0.9] usercpu_time_millis 7565.411891000622 usercpu_time_millis 10528.698030000669 usercpu_time_millis 7906.590896000125 usercpu_time_millis 9637.75102299951 usercpu_time_millis 14386.968976999924 usercpu_time_millis 13075.17875999929 usercpu_time_millis 9816.84232600037 usercpu_time_millis 9582.139821000055 usercpu_time_millis 10555.38953300038 usercpu_time_millis 9156.11780800009 usercpu_time_millis_testing 3.4866000005422393 usercpu_time_millis_testing 3.2869000006030547 usercpu_time_millis_testing 2.836100000422448 usercpu_time_millis_testing 3.4290999992663274 usercpu_time_millis_testing 3.689400000439491 usercpu_time_millis_testing 3.450899999734247 usercpu_time_millis_testing 3.1349999999292777 usercpu_time_millis_testing 3.3580999997866456 usercpu_time_millis_testing 3.1216999996104278 usercpu_time_millis_testing 3.1478999999308144 usercpu_time_millis_training 7561.92529100008 usercpu_time_millis_training 10525.411130000066 usercpu_time_millis_training 7903.754795999703 usercpu_time_millis_training 9634.321923000243 usercpu_time_millis_training 14383.279576999485 usercpu_time_millis_training 13071.727859999555 usercpu_time_millis_training 9813.70732600044 usercpu_time_millis_training 9578.781721000269 usercpu_time_millis_training 10552.26783300077 usercpu_time_millis_training 9152.96990800016 wall_clock_time_millis 7582.66019821167 wall_clock_time_millis 10546.098947525024 wall_clock_time_millis 7920.389175415039 wall_clock_time_millis 9658.331155776978 wall_clock_time_millis 14389.967203140259 wall_clock_time_millis 13091.514348983765 wall_clock_time_millis 9825.85597038269 wall_clock_time_millis 9586.753845214844 wall_clock_time_millis 10571.84100151062 wall_clock_time_millis 9162.355422973633 wall_clock_time_millis_testing 3.4911632537841797 wall_clock_time_millis_testing 3.2889842987060547 wall_clock_time_millis_testing 2.839803695678711 wall_clock_time_millis_testing 3.434419631958008 wall_clock_time_millis_testing 3.6923885345458984 wall_clock_time_millis_testing 3.4546852111816406 wall_clock_time_millis_testing 3.1387805938720703 wall_clock_time_millis_testing 3.3626556396484375 wall_clock_time_millis_testing 3.124237060546875 wall_clock_time_millis_testing 3.151416778564453 wall_clock_time_millis_training 7579.169034957886 wall_clock_time_millis_training 10542.809963226318 wall_clock_time_millis_training 7917.54937171936 wall_clock_time_millis_training 9654.89673614502 wall_clock_time_millis_training 14386.274814605713 wall_clock_time_millis_training 13088.059663772583 wall_clock_time_millis_training 9822.717189788818 wall_clock_time_millis_training 9583.391189575195 wall_clock_time_millis_training 10568.716764450073 wall_clock_time_millis_training 9159.204006195068 weighted_recall 0.96 [0.95,0.9,1,1,1,0.95,0.9,1,0.9,1] weighted_recall 0.955 [1,0.95,1,0.85,0.95,0.9,1,0.9,1,1] weighted_recall 0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95] weighted_recall 0.97 [1,0.95,1,0.9,0.95,0.95,1,1,1,0.95] weighted_recall 0.955 [1,1,0.9,0.85,0.9,0.9,1,1,1,1] weighted_recall 0.955 [1,1,1,1,0.9,0.95,0.85,1,0.95,0.9] weighted_recall 0.945 [0.95,0.95,0.95,0.95,1,0.9,1,0.95,0.95,0.85] weighted_recall 0.955 [1,0.95,1,1,1,0.85,0.95,0.95,0.9,0.95] weighted_recall 0.97 [0.95,1,1,0.95,1,0.95,0.9,1,0.95,1] weighted_recall 0.94 [0.95,1,1,1,0.9,0.95,0.85,0.95,0.9,0.9]