10227066 1 Jan van Rijn 14969 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) 8152498 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]}}, {"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 "mae" 9667 init null 9667 learning_rate 0.03079394904256468 9667 loss "deviance" 9667 max_depth 28 9667 max_features 0.74175078329441 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.9932962491319992 9667 min_impurity_split null 9667 min_samples_leaf 14 9667 min_samples_split 7 9667 min_weight_fraction_leaf 0.4473017155306188 9667 n_estimators 1780 9667 n_iter_no_change 1690 9667 presort "auto" 9667 random_state 26507 9667 subsample 0.41743903523968295 9667 tol 0.0007940811002395945 9667 validation_fraction 0.0662066941680095 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 4538 GesturePhaseSegmentationProcessed https://www.openml.org/data/download/1798765/phpYLeydd -1 21375048 description https://api.openml.org/data/download/21375048/description.xml -1 21375049 predictions https://api.openml.org/data/download/21375049/predictions.arff area_under_roc_curve 0.49978578215181013 [0.500072,0.499659,0.499774,0.499034,0.499848] average_cost 0 kappa 0 kb_relative_information_score 18.615936400727705 mean_absolute_error 0.3065134339365114 mean_prior_absolute_error 0.3064842019667116 number_of_instances 9873 [2741,998,2097,1087,2950] predictive_accuracy 0.2987946925959688 prior_entropy 2.193560272363199 recall 0.2987946925959688 [0,0,0,0,1] relative_absolute_error 1.000095378390182 root_mean_prior_squared_error 0.39145712447409964 root_mean_squared_error 0.3914619126536986 root_relative_squared_error 1.0000122316833688 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5] 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 1.6085102181047108 kb_relative_information_score 1.6085102181047108 kb_relative_information_score 1.6085102181047108 kb_relative_information_score 1.919010369676669 kb_relative_information_score 1.9140235179777059 kb_relative_information_score 1.993220946021027 kb_relative_information_score 1.993220946021027 kb_relative_information_score 1.9903099889051363 kb_relative_information_score 1.9903099889051363 kb_relative_information_score 1.9903099889051363 mean_absolute_error 0.30651165642879774 mean_absolute_error 0.30651165642879774 mean_absolute_error 0.30651165642879774 mean_absolute_error 0.30650180485562534 mean_absolute_error 0.30644439722921163 mean_absolute_error 0.3065084354437997 mean_absolute_error 0.3065084354437997 mean_absolute_error 0.3065454341697258 mean_absolute_error 0.3065454341697258 mean_absolute_error 0.3065454341697258 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30651433316420246 mean_prior_absolute_error 0.30646060253225527 mean_prior_absolute_error 0.3063927432405889 mean_prior_absolute_error 0.3064642539693521 mean_prior_absolute_error 0.3064642539693521 mean_prior_absolute_error 0.30650569162629465 mean_prior_absolute_error 0.30650569162629465 mean_prior_absolute_error 0.30650569162629465 number_of_instances 988 [274,100,210,109,295] number_of_instances 988 [274,100,210,109,295] number_of_instances 988 [274,100,210,109,295] number_of_instances 987 [274,99,210,109,295] number_of_instances 987 [275,99,210,108,295] number_of_instances 987 [274,100,210,108,295] number_of_instances 987 [274,100,210,108,295] number_of_instances 987 [274,100,209,109,295] number_of_instances 987 [274,100,209,109,295] number_of_instances 987 [274,100,209,109,295] predictive_accuracy 0.298582995951417 predictive_accuracy 0.298582995951417 predictive_accuracy 0.298582995951417 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 predictive_accuracy 0.2988855116514691 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 prior_entropy 2.193560272363199 recall 0.298582995951417 [0,0,0,0,1] recall 0.298582995951417 [0,0,0,0,1] recall 0.298582995951417 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] recall 0.2988855116514691 [0,0,0,0,1] relative_absolute_error 0.999991267177045 relative_absolute_error 0.999991267177045 relative_absolute_error 0.999991267177045 relative_absolute_error 1.0001344457428774 relative_absolute_error 1.0001685875065982 relative_absolute_error 1.0001441651803606 relative_absolute_error 1.0001441651803606 relative_absolute_error 1.0001296633130048 relative_absolute_error 1.0001296633130048 relative_absolute_error 1.0001296633130048 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914956085309407 root_mean_prior_squared_error 0.3914269802492724 root_mean_prior_squared_error 0.39134028871992976 root_mean_prior_squared_error 0.3914316444849103 root_mean_prior_squared_error 0.3914316444849103 root_mean_prior_squared_error 0.3914845718046929 root_mean_prior_squared_error 0.3914845718046929 root_mean_prior_squared_error 0.3914845718046929 root_mean_squared_error 0.39149929799937205 root_mean_squared_error 0.39149929799937205 root_mean_squared_error 0.39149929799937205 root_mean_squared_error 0.39143072273593177 root_mean_squared_error 0.3913441331470088 root_mean_squared_error 0.391436865384458 root_mean_squared_error 0.391436865384458 root_mean_squared_error 0.39149083437470694 root_mean_squared_error 0.39149083437470694 root_mean_squared_error 0.39149083437470694 root_relative_squared_error 1.0000094240352917 root_relative_squared_error 1.0000094240352917 root_relative_squared_error 1.0000094240352917 root_relative_squared_error 1.0000095611361715 root_relative_squared_error 1.000009823744679 root_relative_squared_error 1.0000133379598233 root_relative_squared_error 1.0000133379598233 root_relative_squared_error 1.000015996977825 root_relative_squared_error 1.000015996977825 root_relative_squared_error 1.000015996977825 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 2718363.467424002 usercpu_time_millis 2729204.368254999 usercpu_time_millis 2669093.0298970016 usercpu_time_millis 2616437.5046800016 usercpu_time_millis 2623910.4059270034 usercpu_time_millis 2621221.169743003 usercpu_time_millis 2566050.972681005 usercpu_time_millis 2515809.0592750013 usercpu_time_millis 2519416.135746003 usercpu_time_millis 2515919.233449 usercpu_time_millis_testing 22.201211002538912 usercpu_time_millis_testing 20.709961998363724 usercpu_time_millis_testing 21.188017999520525 usercpu_time_millis_testing 20.44290599951637 usercpu_time_millis_testing 20.89559200248914 usercpu_time_millis_testing 19.974667000496993 usercpu_time_millis_testing 20.62545600347221 usercpu_time_millis_testing 19.76708599977428 usercpu_time_millis_testing 20.624748001864646 usercpu_time_millis_testing 19.83409300009953 usercpu_time_millis_training 2718341.2662129994 usercpu_time_millis_training 2729183.658293001 usercpu_time_millis_training 2669071.841879002 usercpu_time_millis_training 2616417.061774002 usercpu_time_millis_training 2623889.5103350007 usercpu_time_millis_training 2621201.1950760023 usercpu_time_millis_training 2566030.3472250015 usercpu_time_millis_training 2515789.2921890016 usercpu_time_millis_training 2519395.5109980013 usercpu_time_millis_training 2515899.3993559997