10226406 1 Jan van Rijn 9967 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) 8151838 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]}}, {"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 "median" 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 "mae" 9667 init null 9667 learning_rate 0.00012674515669295944 9667 loss "deviance" 9667 max_depth 27 9667 max_features 0.5102238131563018 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.1700867160991112 9667 min_impurity_split null 9667 min_samples_leaf 7 9667 min_samples_split 2 9667 min_weight_fraction_leaf 0.1886885630284308 9667 n_estimators 1806 9667 n_iter_no_change 362 9667 presort "auto" 9667 random_state 64689 9667 subsample 0.2806979733571683 9667 tol 0.003810563934699841 9667 validation_fraction 0.6574548228308754 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1504 steel-plates-fault https://www.openml.org/data/download/1592296/php9xWOpn -1 21373728 description https://api.openml.org/data/download/21373728/description.xml -1 21373729 predictions https://api.openml.org/data/download/21373729/predictions.arff area_under_roc_curve 0.4995588049179483 [0.499559,0.499559] average_cost 0 kappa 0 kb_relative_information_score -45.25253632236787 mean_absolute_error 0.45841475731510006 mean_prior_absolute_error 0.45306405137877787 number_of_instances 1941 [1268,673] predictive_accuracy 0.6532715095311695 prior_entropy 0.9312564359502772 recall 0.6532715095311695 [1,0] relative_absolute_error 1.0118100430171821 root_mean_prior_squared_error 0.47592842871248736 root_mean_squared_error 0.47625502554754906 root_relative_squared_error 1.000686230986338 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score -4.1256165094129935 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.603759680554834 kb_relative_information_score -4.450301024536339 kb_relative_information_score -4.450301024536339 mean_absolute_error 0.45851917658495794 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.458092670707728 mean_absolute_error 0.45948958168413706 mean_absolute_error 0.45948958168413706 mean_prior_absolute_error 0.4536732781714767 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.4526452345453676 mean_prior_absolute_error 0.45422372672718864 mean_prior_absolute_error 0.45422372672718864 number_of_instances 195 [127,68] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [127,67] number_of_instances 194 [126,68] number_of_instances 194 [126,68] predictive_accuracy 0.6512820512820512 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.654639175257732 predictive_accuracy 0.6494845360824741 predictive_accuracy 0.6494845360824741 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 prior_entropy 0.9312564359502772 recall 0.6512820512820513 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.654639175257732 [1,0] recall 0.6494845360824743 [1,0] recall 0.6494845360824743 [1,0] relative_absolute_error 1.0106814719901789 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0120346703038459 relative_absolute_error 1.0115930865058291 relative_absolute_error 1.0115930865058291 root_mean_prior_squared_error 0.4765680392655914 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.47548822532565527 root_mean_prior_squared_error 0.4771452028525092 root_mean_prior_squared_error 0.4771452028525092 root_mean_squared_error 0.4767755641563714 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4758708013155733 root_mean_squared_error 0.4773362866168199 root_mean_squared_error 0.4773362866168199 root_relative_squared_error 1.000435457004418 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0008045961383292 root_relative_squared_error 1.0004004729863538 root_relative_squared_error 1.0004004729863538 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 701.9456599955447 usercpu_time_millis 623.9419469929999 usercpu_time_millis 619.6003489967552 usercpu_time_millis 612.2700169944437 usercpu_time_millis 618.6836740089348 usercpu_time_millis 614.1218319971813 usercpu_time_millis 617.3938349966193 usercpu_time_millis 619.86330000218 usercpu_time_millis 618.9426150012878 usercpu_time_millis 618.0398869983037 usercpu_time_millis_testing 1.0665999943739735 usercpu_time_millis_testing 1.1276709992671385 usercpu_time_millis_testing 1.1790119970100932 usercpu_time_millis_testing 0.9140609981841408 usercpu_time_millis_testing 1.0882830029004253 usercpu_time_millis_testing 0.9955669956980273 usercpu_time_millis_testing 1.0895719969994389 usercpu_time_millis_testing 1.4080359978834167 usercpu_time_millis_testing 1.163114000519272 usercpu_time_millis_testing 1.0114629985764623 usercpu_time_millis_training 700.8790600011707 usercpu_time_millis_training 622.8142759937327 usercpu_time_millis_training 618.4213369997451 usercpu_time_millis_training 611.3559559962596 usercpu_time_millis_training 617.5953910060343 usercpu_time_millis_training 613.1262650014833 usercpu_time_millis_training 616.3042629996198 usercpu_time_millis_training 618.4552640042966 usercpu_time_millis_training 617.7795010007685 usercpu_time_millis_training 617.0284239997272