10227121 1 Jan van Rijn 18 Supervised Classification 9666 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4) 8152553 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 9606 memory null 9607 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "mean" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 9666 criterion "friedman_mse" 9667 init null 9667 learning_rate 0.0001589452992337623 9667 loss "deviance" 9667 max_depth 4 9667 max_features 0.9721911774991453 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.9344530531225049 9667 min_impurity_split null 9667 min_samples_leaf 2 9667 min_samples_split 7 9667 min_weight_fraction_leaf 0.18408192628606612 9667 n_estimators 887 9667 n_iter_no_change 951 9667 presort "auto" 9667 random_state 37849 9667 subsample 0.9824435040565486 9667 tol 6.825837608346208e-05 9667 validation_fraction 0.35077771366734456 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 18 mfeat-morphological https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff -1 21375158 description https://api.openml.org/data/download/21375158/description.xml -1 21375159 predictions https://api.openml.org/data/download/21375159/predictions.arff area_under_roc_curve 0.5404255555555554 [0.932756,0.628678,0.41379,0.776574,0.797983,0.7082,0.066939,0.65355,0.323781,0.102006] average_cost 0 f_measure 0.08836591824937749 [0.548926,0.007353,0.005038,0.225806,0.037915,0.055249,0.003373,0,0,0] kappa -0.018333333333333333 kb_relative_information_score 61.12053015935985 mean_absolute_error 0.17968538125705066 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.12901702924140068 [0.525114,0.013889,0.005076,0.318182,0.363636,0.061728,0.002545,0,0,0] predictive_accuracy 0.08349999999999999 prior_entropy 3.321928094887362 recall 0.0835 [0.575,0.005,0.005,0.175,0.02,0.05,0.005,0,0,0] relative_absolute_error 0.9982521180946953 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.30022443539581706 root_relative_squared_error 1.0007481179860414 total_cost 0 area_under_roc_curve 0.5169722222222223 [0.884028,0.574306,0.3375,0.742361,0.757083,0.702639,0.084444,0.710139,0.293889,0.083333] area_under_roc_curve 0.5255555555555556 [0.905556,0.628056,0.370417,0.776667,0.750278,0.661528,0.073472,0.674444,0.249167,0.165972] area_under_roc_curve 0.532861111111111 [0.8925,0.589444,0.321806,0.772639,0.822083,0.679444,0.09,0.730972,0.301944,0.127778] area_under_roc_curve 0.5420555555555555 [0.916667,0.586667,0.415139,0.805972,0.787361,0.746389,0.040833,0.674028,0.310556,0.136944] area_under_roc_curve 0.5336111111111111 [0.9,0.686944,0.4675,0.746111,0.82625,0.742917,0.070139,0.609444,0.225278,0.061528] area_under_roc_curve 0.55875 [0.916667,0.729583,0.445694,0.848611,0.7675,0.739583,0.063194,0.612083,0.372778,0.091806] area_under_roc_curve 0.5355833333333332 [0.902083,0.675833,0.415972,0.720417,0.796944,0.662222,0.081528,0.670139,0.331667,0.099028] area_under_roc_curve 0.5355000000000001 [0.922222,0.595694,0.507083,0.7425,0.809722,0.704444,0.053333,0.638611,0.312778,0.068611] area_under_roc_curve 0.5385555555555556 [0.905556,0.544306,0.479167,0.794306,0.756111,0.728611,0.055139,0.633889,0.376111,0.112361] area_under_roc_curve 0.5389999999999999 [0.916667,0.690833,0.467917,0.761389,0.828056,0.712222,0.051806,0.590694,0.290833,0.079583] 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 0.09193121693121693 [0.678571,0,0,0.074074,0.166667,0,0,0,0,0] f_measure 0.10892875240701327 [0.653846,0,0,0.30303,0.086957,0.045455,0,0,0,0] f_measure 0.08811188811188812 [0.727273,0,0,0.153846,0,0,0,0,0,0] kappa 0.011111111111111105 kappa -0.08333333333333334 kappa 0.02222222222222221 kappa 0.02777777777777777 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0.02222222222222221 kappa -0.08333333333333334 kappa -0.05555555555555556 kappa -0.07777777777777778 kb_relative_information_score 5.393392725815392 kb_relative_information_score 5.529024673863962 kb_relative_information_score 5.943298345523983 kb_relative_information_score 6.607128976477844 kb_relative_information_score 6.132374095960092 kb_relative_information_score 6.528121853366034 kb_relative_information_score 6.1949929179758785 kb_relative_information_score 6.0485000509641065 kb_relative_information_score 6.376039945189623 kb_relative_information_score 6.367656574222793 mean_absolute_error 0.17991841993002894 mean_absolute_error 0.17980399395863833 mean_absolute_error 0.17971853127713155 mean_absolute_error 0.17954036461444242 mean_absolute_error 0.17967006058495535 mean_absolute_error 0.17951884742077379 mean_absolute_error 0.17967331378725698 mean_absolute_error 0.17972643627222198 mean_absolute_error 0.1796698059085634 mean_absolute_error 0.1796140388164922 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 0.11706349206349205 [0.527778,0,0,0.142857,0.5,0,0,0,0,0] precision 0.12908653846153845 [0.53125,0,0,0.384615,0.333333,0.041667,0,0,0,0] precision 0.09047619047619047 [0.571429,0,0,0.333333,0,0,0,0,0,0] predictive_accuracy 0.11 predictive_accuracy 0.025 predictive_accuracy 0.12 predictive_accuracy 0.125 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.12 predictive_accuracy 0.025 predictive_accuracy 0.05 predictive_accuracy 0.03 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.11 [0.95,0,0,0.05,0.1,0,0,0,0,0] recall 0.025 [0,0,0,0.2,0,0.05,0,0,0,0] recall 0.12 [0.85,0,0,0.25,0.05,0.05,0,0,0,0] recall 0.125 [1,0,0,0.15,0,0.1,0,0,0,0] recall 0.12 [1,0,0,0.1,0,0.1,0,0,0,0] recall 0.11 [1,0,0,0.1,0,0,0,0,0,0] recall 0.12 [0.95,0,0.05,0.1,0.05,0,0.05,0,0,0] recall 0.025 [0,0,0,0.2,0,0.05,0,0,0,0] recall 0.05 [0,0,0,0.4,0,0.1,0,0,0,0] recall 0.03 [0,0.05,0,0.2,0,0.05,0,0,0,0] relative_absolute_error 0.9995467773890507 relative_absolute_error 0.9989110775479919 relative_absolute_error 0.9984362848729543 relative_absolute_error 0.9974464700802369 relative_absolute_error 0.998167003249753 relative_absolute_error 0.9973269301154111 relative_absolute_error 0.9981850765958733 relative_absolute_error 0.9984802015123454 relative_absolute_error 0.998165588380909 relative_absolute_error 0.9978557712027357 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 0.3005862634298083 root_mean_squared_error 0.30037153870061933 root_mean_squared_error 0.30023998201434376 root_mean_squared_error 0.2999811055267659 root_mean_squared_error 0.3002040457827406 root_mean_squared_error 0.29997058219459355 root_mean_squared_error 0.30021854581610685 root_mean_squared_error 0.30031332485649037 root_mean_squared_error 0.3002258816144497 root_mean_squared_error 0.30013259565450023 root_relative_squared_error 1.001954211432695 root_relative_squared_error 1.0012384623353983 root_relative_squared_error 1.0007999400478131 root_relative_squared_error 0.9999370184225537 root_relative_squared_error 1.000680152609136 root_relative_squared_error 0.9999019406486457 root_relative_squared_error 1.0007284860536902 root_relative_squared_error 1.0010444161883019 root_relative_squared_error 1.0007529387148328 root_relative_squared_error 1.0004419855150015 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 usercpu_time_millis 9842.199899998377 usercpu_time_millis 9822.75434800249 usercpu_time_millis 9808.909393002978 usercpu_time_millis 9764.014451997355 usercpu_time_millis 9745.309476005787 usercpu_time_millis 9835.697833004815 usercpu_time_millis 9814.880452999205 usercpu_time_millis 9777.76492000703 usercpu_time_millis 9762.968239003385 usercpu_time_millis 9950.36600799358 usercpu_time_millis_testing 10.746097999799531 usercpu_time_millis_testing 10.343165005906485 usercpu_time_millis_testing 13.288743000885006 usercpu_time_millis_testing 10.627161995216738 usercpu_time_millis_testing 11.201158005860634 usercpu_time_millis_testing 11.002514002029784 usercpu_time_millis_testing 11.381627999071497 usercpu_time_millis_testing 11.16307100164704 usercpu_time_millis_testing 11.475163002614863 usercpu_time_millis_testing 12.176288997579832 usercpu_time_millis_training 9831.453801998578 usercpu_time_millis_training 9812.411182996584 usercpu_time_millis_training 9795.620650002093 usercpu_time_millis_training 9753.387290002138 usercpu_time_millis_training 9734.108317999926 usercpu_time_millis_training 9824.695319002785 usercpu_time_millis_training 9803.498825000133 usercpu_time_millis_training 9766.601849005383 usercpu_time_millis_training 9751.49307600077 usercpu_time_millis_training 9938.189718996