10158442 1 Jan van Rijn 14 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) 8083977 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, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"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 "most_frequent" 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 0.0004874019260286433 9667 loss "deviance" 9667 max_depth 24 9667 max_features 0.663008544229847 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.6683075747062874 9667 min_impurity_split null 9667 min_samples_leaf 1 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.234103412340958 9667 n_estimators 77 9667 n_iter_no_change 123 9667 presort "auto" 9667 random_state 37735 9667 subsample 0.482842306858995 9667 tol 0.00828986129715404 9667 validation_fraction 0.21906569436436363 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21237647 description https://api.openml.org/data/download/21237647/description.xml -1 21237648 predictions https://api.openml.org/data/download/21237648/predictions.arff area_under_roc_curve 0.9368686111111111 [0.997353,0.858008,0.967394,0.940864,0.891914,0.972203,0.919436,0.972969,0.947597,0.900947] average_cost 0 f_measure 0.5317173601755919 [0.919048,0.348837,0.688716,0.701245,0.066986,0.669173,0.465347,0.711538,0.736383,0.009901] kappa 0.5655555555555556 kb_relative_information_score 59.10953469682971 mean_absolute_error 0.1785896647848308 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6321461166222185 [0.877273,0.775862,0.563694,0.599291,0.777778,0.536145,0.460784,0.578125,0.65251,0.5] predictive_accuracy 0.609 prior_entropy 3.321928094887362 recall 0.609 [0.965,0.225,0.885,0.845,0.035,0.89,0.47,0.925,0.845,0.005] relative_absolute_error 0.9921648043601405 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2976677851918141 root_relative_squared_error 0.9922259506393651 total_cost 0 area_under_roc_curve 0.9374166666666666 [0.993333,0.834167,0.977778,0.935278,0.905,0.994167,0.88,0.975556,0.941667,0.937222] area_under_roc_curve 0.9349166666666667 [1,0.819722,0.949722,0.926667,0.903611,0.969444,0.9275,0.968333,0.965833,0.918333] area_under_roc_curve 0.9374444444444445 [0.987778,0.867222,0.968611,0.955833,0.908056,0.961667,0.886944,0.950556,0.976389,0.911389] area_under_roc_curve 0.9380833333333333 [0.998611,0.800833,0.986389,0.943611,0.952222,0.971389,0.952778,0.964167,0.964167,0.846667] area_under_roc_curve 0.9346944444444445 [1,0.898056,0.934444,0.922778,0.883889,0.973056,0.933611,0.973889,0.943056,0.884167] area_under_roc_curve 0.9489722222222222 [1,0.88,0.982778,0.972222,0.899167,0.969167,0.946944,0.980556,0.978611,0.880278] area_under_roc_curve 0.9353055555555554 [0.999167,0.845,0.983056,0.949722,0.869167,0.953333,0.944722,0.979722,0.956944,0.872222] area_under_roc_curve 0.9446388888888889 [0.997778,0.893611,0.957778,0.972222,0.856944,0.978889,0.910833,0.9825,0.943889,0.951944] area_under_roc_curve 0.9388055555555556 [0.999722,0.829722,0.996111,0.948333,0.883056,0.963889,0.916389,0.982778,0.971111,0.896944] area_under_roc_curve 0.9217222222222222 [1,0.928056,0.936667,0.884167,0.851111,0.985556,0.9,0.975,0.851389,0.905278] 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 0.5165918462464458 [0.844444,0.428571,0.571429,0.65,0.095238,0.689655,0.358974,0.734694,0.697674,0.095238] kappa 0.5166666666666666 kappa 0.5555555555555556 kappa 0.5833333333333334 kappa 0.5722222222222222 kappa 0.5499999999999999 kappa 0.5833333333333334 kappa 0.5888888888888889 kappa 0.5833333333333334 kappa 0.5888888888888889 kappa 0.5333333333333333 kb_relative_information_score 5.888036251168926 kb_relative_information_score 5.952674670184515 kb_relative_information_score 5.880873889665151 kb_relative_information_score 5.923730068991883 kb_relative_information_score 5.905643409109407 kb_relative_information_score 6.068176976540311 kb_relative_information_score 5.966619643431151 kb_relative_information_score 6.012297565133696 kb_relative_information_score 5.958021680625893 kb_relative_information_score 5.553460541978675 mean_absolute_error 0.1785920461144199 mean_absolute_error 0.17857953970441606 mean_absolute_error 0.1785975211155264 mean_absolute_error 0.17858780335289762 mean_absolute_error 0.17859227405379507 mean_absolute_error 0.17854785097391596 mean_absolute_error 0.17857622928820358 mean_absolute_error 0.17856340601994977 mean_absolute_error 0.17857692832053562 mean_absolute_error 0.17868304890464692 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 0.6772044854765599 [0.76,0.75,0.444444,0.65,1,0.526316,0.368421,0.62069,0.652174,1] predictive_accuracy 0.565 predictive_accuracy 0.6 predictive_accuracy 0.625 predictive_accuracy 0.615 predictive_accuracy 0.595 predictive_accuracy 0.625 predictive_accuracy 0.63 predictive_accuracy 0.625 predictive_accuracy 0.63 predictive_accuracy 0.58 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 0.565 [0.95,0.1,0.95,0.8,0,0.95,0.2,0.9,0.8,0] recall 0.6 [1,0.15,0.85,0.85,0.05,0.85,0.55,0.8,0.9,0] recall 0.625 [0.95,0.2,0.9,0.9,0.05,0.9,0.65,0.8,0.9,0] recall 0.615 [1,0.2,0.9,0.8,0,0.85,0.55,0.95,0.9,0] recall 0.595 [1,0.2,0.8,0.85,0.1,0.7,0.45,1,0.85,0] recall 0.625 [1,0.2,0.95,0.95,0,0.9,0.35,1,0.9,0] recall 0.63 [0.9,0.3,0.85,0.85,0.05,0.9,0.65,0.95,0.85,0] recall 0.625 [0.95,0.35,0.85,0.95,0.05,0.9,0.5,0.95,0.75,0] recall 0.63 [0.95,0.25,1,0.85,0,0.95,0.45,1,0.85,0] recall 0.58 [0.95,0.3,0.8,0.65,0.05,1,0.35,0.9,0.75,0.05] relative_absolute_error 0.9921780339690005 relative_absolute_error 0.9921085539134237 relative_absolute_error 0.9922084506418145 relative_absolute_error 0.9921544630716546 relative_absolute_error 0.9921793002988626 relative_absolute_error 0.9919325054106453 relative_absolute_error 0.9920901627122433 relative_absolute_error 0.9920189223330553 relative_absolute_error 0.992094046225199 relative_absolute_error 0.9926836050258173 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 0.2976720341305765 root_mean_squared_error 0.2976511438061322 root_mean_squared_error 0.2976793397941399 root_mean_squared_error 0.2976640680028266 root_mean_squared_error 0.2976729555212945 root_mean_squared_error 0.2975990583739035 root_mean_squared_error 0.2976456645890076 root_mean_squared_error 0.2976232249636564 root_mean_squared_error 0.2976460855973197 root_mean_squared_error 0.29782422236207695 root_relative_squared_error 0.992240113768589 root_relative_squared_error 0.9921704793537747 root_relative_squared_error 0.9922644659804669 root_relative_squared_error 0.9922135600094225 root_relative_squared_error 0.9922431850709823 root_relative_squared_error 0.9919968612463456 root_relative_squared_error 0.9921522152966925 root_relative_squared_error 0.992077416545522 root_relative_squared_error 0.9921536186577329 root_relative_squared_error 0.9927474078735904 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 10349.27377099848 usercpu_time_millis 9010.947762000797 usercpu_time_millis 10781.644100999983 usercpu_time_millis 10556.89636200077 usercpu_time_millis 12836.400084999696 usercpu_time_millis 11280.833773000268 usercpu_time_millis 10871.3687390009 usercpu_time_millis 9555.769728000087 usercpu_time_millis 10301.686692999283 usercpu_time_millis 11546.968535001724 usercpu_time_millis_testing 20.804716999919037 usercpu_time_millis_testing 12.665255000683828 usercpu_time_millis_testing 25.468150999586214 usercpu_time_millis_testing 33.11300399946049 usercpu_time_millis_testing 40.99111100003938 usercpu_time_millis_testing 16.825635999339283 usercpu_time_millis_testing 31.37689300092461 usercpu_time_millis_testing 30.51013000003877 usercpu_time_millis_testing 27.249751999988803 usercpu_time_millis_testing 28.66734000053839 usercpu_time_millis_training 10328.46905399856 usercpu_time_millis_training 8998.282507000113 usercpu_time_millis_training 10756.175950000397 usercpu_time_millis_training 10523.78335800131 usercpu_time_millis_training 12795.408973999656 usercpu_time_millis_training 11264.008137000928 usercpu_time_millis_training 10839.991845999975 usercpu_time_millis_training 9525.259598000048 usercpu_time_millis_training 10274.436940999294 usercpu_time_millis_training 11518.301195001186