10576158 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) 8292440 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 "most_frequent" 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 0.5036762232501258 19038 loss "deviance" 19038 max_depth 3 19038 max_features null 19038 max_leaf_nodes 723 19038 min_impurity_decrease 0.0 19038 min_impurity_split null 19038 min_samples_leaf 45 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 44780 19038 subsample 1.0 19038 tol 0.0001 19038 validation_fraction 0.10086727925785806 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 22078583 description https://api.openml.org/data/download/22078583/description.xml -1 22078584 predictions https://api.openml.org/data/download/22078584/predictions.arff area_under_roc_curve 0.9969216666666667 [0.999636,0.997553,0.999597,0.995428,0.997228,0.993364,0.995242,0.998356,0.995814,0.997] average_cost 0 f_measure 0.9505628095993122 [0.982456,0.934307,0.97733,0.94321,0.955,0.927681,0.957179,0.959596,0.928571,0.940299] kappa 0.9450000000000001 kb_relative_information_score 0.9515146330466048 mean_absolute_error 0.011297358854965913 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.9505 [0.98,0.96,0.97,0.955,0.955,0.93,0.95,0.95,0.91,0.945] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9509144245957524 [0.984925,0.909953,0.984772,0.931707,0.955,0.925373,0.964467,0.969388,0.947917,0.935644] predictive_accuracy 0.9505 prior_entropy 3.3219280948872383 relative_absolute_error 0.06276310474980869 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.0863025474594438 root_relative_squared_error 0.2876751581981416 total_cost 0 unweighted_recall 0.9505000000000001 [0.98,0.96,0.97,0.955,0.955,0.93,0.95,0.95,0.91,0.945] area_under_roc_curve 0.9976388888888889 [0.998333,0.998333,1,1,1,0.995,1,1,0.985,0.999722] area_under_roc_curve 0.9985277777777779 [1,0.997778,1,0.998056,1,0.997222,0.9975,0.998889,0.999444,0.996389] area_under_roc_curve 0.9991666666666665 [1,0.998333,1,0.999722,1,0.998611,1,0.997778,0.999722,0.9975] area_under_roc_curve 0.9981944444444446 [1,0.998889,1,0.9975,0.995,0.995833,1,0.998889,0.998056,0.997778] area_under_roc_curve 0.9935555555555555 [1,0.995833,0.996111,0.977778,0.991389,0.976389,1,1,0.998333,0.999722] area_under_roc_curve 0.9971388888888889 [1,0.996667,0.999722,1,0.990278,0.992778,0.997222,0.999444,0.996667,0.998611] area_under_roc_curve 0.9961388888888889 [1,0.991667,0.999722,1,0.999722,0.998333,1,0.997222,0.995,0.979722] area_under_roc_curve 0.9986666666666666 [1,0.998333,1,1,0.998889,0.999167,0.996389,0.999722,0.994167,1] area_under_roc_curve 0.9968333333333332 [0.999722,1,1,0.986944,1,0.981667,1,1,1,1] area_under_roc_curve 0.9966666666666666 [1,1,1,0.998611,0.997222,1,0.980556,0.995,0.997778,0.9975] 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 0.9600655719975358 [0.974359,0.926829,1,1,0.95,0.904762,0.974359,1,0.894737,0.97561] f_measure 0.9499373668693307 [1,0.926829,1,0.9,1,0.894737,0.974359,0.923077,0.97561,0.904762] f_measure 0.9700615363182159 [1,0.947368,1,0.97561,0.97561,0.923077,1,0.974359,0.974359,0.930233] f_measure 0.9398118419877083 [1,0.95,0.97561,0.894737,0.926829,0.878049,0.952381,0.923077,0.974359,0.923077] f_measure 0.9297531099777568 [0.97561,0.888889,0.918919,0.878049,0.894737,0.926829,0.97561,1,0.888889,0.95] f_measure 0.9445840680500501 [0.97561,0.952381,0.95,1,0.923077,0.9,0.871795,0.97561,0.95,0.947368] f_measure 0.9307083780575437 [0.947368,0.878049,0.974359,0.909091,0.974359,0.95,0.974359,0.9,0.904762,0.894737] f_measure 0.954401254645157 [1,0.926829,0.974359,0.97561,0.952381,0.974359,0.95,0.95,0.864865,0.97561] f_measure 0.9748587933247754 [0.95,1,0.97561,0.95,0.97561,0.95,1,1,0.947368,1] f_measure 0.9499216850757288 [1,0.952381,1,0.95,0.974359,0.97561,0.894737,0.947368,0.904762,0.9] kappa 0.9555555555555555 kappa 0.9444444444444444 kappa 0.9666666666666667 kappa 0.9333333333333332 kappa 0.9222222222222223 kappa 0.9388888888888889 kappa 0.9222222222222223 kappa 0.95 kappa 0.9722222222222222 kappa 0.9444444444444444 kb_relative_information_score 0.9602343167268892 kb_relative_information_score 0.9515923212123678 kb_relative_information_score 0.9644899840945652 kb_relative_information_score 0.9450711411569899 kb_relative_information_score 0.9333223359711763 kb_relative_information_score 0.942858983411669 kb_relative_information_score 0.9354277749397901 kb_relative_information_score 0.9537816016343171 kb_relative_information_score 0.9767843184840136 kb_relative_information_score 0.951583552833931 mean_absolute_error 0.009757026756354491 mean_absolute_error 0.010971675813781733 mean_absolute_error 0.009173679445024414 mean_absolute_error 0.012398511978974782 mean_absolute_error 0.015561332019414016 mean_absolute_error 0.01382151869980647 mean_absolute_error 0.014507414258387903 mean_absolute_error 0.011010703829376058 mean_absolute_error 0.005617424055276914 mean_absolute_error 0.010154301693262457 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 0.9615223665223666 [1,0.904762,1,1,0.95,0.863636,1,1,0.944444,0.952381] precision 0.9512592086276297 [1,0.904762,1,0.9,1,0.944444,1,0.947368,0.952381,0.863636] precision 0.9721695543205842 [1,1,1,0.952381,0.952381,0.947368,1,1,1,0.869565] precision 0.941255790992633 [1,0.95,0.952381,0.944444,0.904762,0.857143,0.909091,0.947368,1,0.947368] precision 0.936111111111111 [0.952381,0.8,1,0.857143,0.944444,0.904762,0.952381,1,1,0.95] precision 0.9455958077010708 [0.952381,0.909091,0.95,1,0.947368,0.9,0.894737,0.952381,0.95,1] precision 0.9348556998556998 [1,0.857143,1,0.833333,1,0.95,1,0.9,0.863636,0.944444] precision 0.9559791189202953 [1,0.904762,1,0.952381,0.909091,1,0.95,0.95,0.941176,0.952381] precision 0.9754761904761905 [0.95,1,0.952381,0.95,0.952381,0.95,1,1,1,1] precision 0.9519552669552671 [1,0.909091,1,0.95,1,0.952381,0.944444,1,0.863636,0.9] predictive_accuracy 0.96 predictive_accuracy 0.95 predictive_accuracy 0.97 predictive_accuracy 0.94 predictive_accuracy 0.93 predictive_accuracy 0.945 predictive_accuracy 0.93 predictive_accuracy 0.955 predictive_accuracy 0.975 predictive_accuracy 0.95 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 0.054205704201969455 relative_absolute_error 0.0609537545210097 relative_absolute_error 0.050964885805691244 relative_absolute_error 0.06888062210541554 relative_absolute_error 0.08645184455230018 relative_absolute_error 0.07678621499892492 relative_absolute_error 0.08059674587993289 relative_absolute_error 0.06117057682986706 relative_absolute_error 0.031207911418205114 relative_absolute_error 0.0564127871847915 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 0.07603534833749168 root_mean_squared_error 0.08762444854109884 root_mean_squared_error 0.07330390323742418 root_mean_squared_error 0.09015124024522948 root_mean_squared_error 0.10195178478055412 root_mean_squared_error 0.09279838301056004 root_mean_squared_error 0.10130613234970957 root_mean_squared_error 0.0805492316614123 root_mean_squared_error 0.061401007207246346 root_mean_squared_error 0.08941067769056098 root_relative_squared_error 0.2534511611249724 root_relative_squared_error 0.2920814951369963 root_relative_squared_error 0.24434634412474743 root_relative_squared_error 0.30050413415076516 root_relative_squared_error 0.33983928260184726 root_relative_squared_error 0.30932794336853364 root_relative_squared_error 0.33768710783236544 root_relative_squared_error 0.26849743887137445 root_relative_squared_error 0.20467002402415463 root_relative_squared_error 0.2980355923018701 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 [0.95,0.95,1,1,0.95,0.95,0.95,1,0.85,1] unweighted_recall 0.95 [1,0.95,1,0.9,1,0.85,0.95,0.9,1,0.95] unweighted_recall 0.9700000000000001 [1,0.9,1,1,1,0.9,1,0.95,0.95,1] unweighted_recall 0.9400000000000001 [1,0.95,1,0.85,0.95,0.9,1,0.9,0.95,0.9] unweighted_recall 0.9299999999999999 [1,1,0.85,0.9,0.85,0.95,1,1,0.8,0.95] unweighted_recall 0.9450000000000001 [1,1,0.95,1,0.9,0.9,0.85,1,0.95,0.9] unweighted_recall 0.93 [0.9,0.9,0.95,1,0.95,0.95,0.95,0.9,0.95,0.85] unweighted_recall 0.9550000000000001 [1,0.95,0.95,1,1,0.95,0.95,0.95,0.8,1] unweighted_recall 0.975 [0.95,1,1,0.95,1,0.95,1,1,0.9,1] unweighted_recall 0.95 [1,1,1,0.95,0.95,1,0.85,0.9,0.95,0.9] usercpu_time_millis 8884.030410000378 usercpu_time_millis 9620.557721000296 usercpu_time_millis 8059.368599999289 usercpu_time_millis 6678.14167799952 usercpu_time_millis 7354.523990000416 usercpu_time_millis 6869.126886000231 usercpu_time_millis 8064.06509899989 usercpu_time_millis 7928.039299999909 usercpu_time_millis 10126.156624000032 usercpu_time_millis 9402.373716000511 usercpu_time_millis_testing 3.4793000004356145 usercpu_time_millis_testing 2.767099000266171 usercpu_time_millis_testing 2.733299999817973 usercpu_time_millis_testing 3.3888999996634084 usercpu_time_millis_testing 2.817001000039454 usercpu_time_millis_testing 2.8719000001729 usercpu_time_millis_testing 2.9812000002493733 usercpu_time_millis_testing 3.5689010001078714 usercpu_time_millis_testing 3.0846999998175306 usercpu_time_millis_testing 2.811199999996461 usercpu_time_millis_training 8880.551109999942 usercpu_time_millis_training 9617.79062200003 usercpu_time_millis_training 8056.635299999471 usercpu_time_millis_training 6674.752777999856 usercpu_time_millis_training 7351.706989000377 usercpu_time_millis_training 6866.254986000058 usercpu_time_millis_training 8061.083898999641 usercpu_time_millis_training 7924.470398999802 usercpu_time_millis_training 10123.071924000214 usercpu_time_millis_training 9399.562516000515 wall_clock_time_millis 8892.777919769287 wall_clock_time_millis 9627.29525566101 wall_clock_time_millis 8060.103416442871 wall_clock_time_millis 6683.315753936768 wall_clock_time_millis 7361.988544464111 wall_clock_time_millis 6894.187450408936 wall_clock_time_millis 8066.293001174927 wall_clock_time_millis 7940.880298614502 wall_clock_time_millis 10151.932716369629 wall_clock_time_millis 9407.312154769897 wall_clock_time_millis_testing 3.483295440673828 wall_clock_time_millis_testing 2.7697086334228516 wall_clock_time_millis_testing 2.7360916137695312 wall_clock_time_millis_testing 3.3905506134033203 wall_clock_time_millis_testing 2.8204917907714844 wall_clock_time_millis_testing 2.876758575439453 wall_clock_time_millis_testing 2.9854774475097656 wall_clock_time_millis_testing 3.5719871520996094 wall_clock_time_millis_testing 3.087759017944336 wall_clock_time_millis_testing 2.8145313262939453 wall_clock_time_millis_training 8889.294624328613 wall_clock_time_millis_training 9624.525547027588 wall_clock_time_millis_training 8057.367324829102 wall_clock_time_millis_training 6679.925203323364 wall_clock_time_millis_training 7359.16805267334 wall_clock_time_millis_training 6891.310691833496 wall_clock_time_millis_training 8063.307523727417 wall_clock_time_millis_training 7937.308311462402 wall_clock_time_millis_training 10148.844957351685 wall_clock_time_millis_training 9404.497623443604 weighted_recall 0.96 [0.95,0.95,1,1,0.95,0.95,0.95,1,0.85,1] weighted_recall 0.95 [1,0.95,1,0.9,1,0.85,0.95,0.9,1,0.95] weighted_recall 0.97 [1,0.9,1,1,1,0.9,1,0.95,0.95,1] weighted_recall 0.94 [1,0.95,1,0.85,0.95,0.9,1,0.9,0.95,0.9] weighted_recall 0.93 [1,1,0.85,0.9,0.85,0.95,1,1,0.8,0.95] weighted_recall 0.945 [1,1,0.95,1,0.9,0.9,0.85,1,0.95,0.9] weighted_recall 0.93 [0.9,0.9,0.95,1,0.95,0.95,0.95,0.9,0.95,0.85] weighted_recall 0.955 [1,0.95,0.95,1,1,0.95,0.95,0.95,0.8,1] weighted_recall 0.975 [0.95,1,1,0.95,1,0.95,1,1,0.9,1] weighted_recall 0.95 [1,1,1,0.95,0.95,1,0.85,0.9,0.95,0.9]