10218746 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) 8144178 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 "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 "mse" 9667 init null 9667 learning_rate 0.0003594283898086674 9667 loss "deviance" 9667 max_depth 3 9667 max_features 0.5766518102413676 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5106941640540591 9667 min_impurity_split null 9667 min_samples_leaf 3 9667 min_samples_split 12 9667 min_weight_fraction_leaf 0.037706282986392614 9667 n_estimators 1588 9667 n_iter_no_change 371 9667 presort "auto" 9667 random_state 20916 9667 subsample 0.7562531903276594 9667 tol 0.0029362212532539683 9667 validation_fraction 0.42613933681355753 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 21358408 description https://api.openml.org/data/download/21358408/description.xml -1 21358409 predictions https://api.openml.org/data/download/21358409/predictions.arff area_under_roc_curve 0.5000210221817385 [0.500324,0.499057,0.500319,0.500036,0.499848] average_cost 0 kappa 0 kb_relative_information_score 252.57302713355293 mean_absolute_error 0.31252401005043756 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 1.0197067517508844 root_mean_prior_squared_error 0.39145712447409964 root_mean_squared_error 0.39318375170474384 root_relative_squared_error 1.0044107697183027 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 25.370956279927146 kb_relative_information_score 25.370956279927146 kb_relative_information_score 25.370956279927146 kb_relative_information_score 25.117071258578036 kb_relative_information_score 24.904864589665973 kb_relative_information_score 25.160165209382416 kb_relative_information_score 25.160165209382416 kb_relative_information_score 25.37263067559471 kb_relative_information_score 25.37263067559471 kb_relative_information_score 25.37263067559471 mean_absolute_error 0.31254986688172787 mean_absolute_error 0.31254986688172787 mean_absolute_error 0.31254986688172787 mean_absolute_error 0.31250771163827834 mean_absolute_error 0.31247744549723294 mean_absolute_error 0.3125080506943995 mean_absolute_error 0.3125080506943995 mean_absolute_error 0.31252972091410963 mean_absolute_error 0.31252972091410963 mean_absolute_error 0.31252972091410963 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 1.0196908694455475 relative_absolute_error 1.0196908694455475 relative_absolute_error 1.0196908694455475 relative_absolute_error 1.0197320929870148 relative_absolute_error 1.0198591591703141 relative_absolute_error 1.0197210495082791 relative_absolute_error 1.0197210495082791 relative_absolute_error 1.0196538904574723 relative_absolute_error 1.0196538904574723 relative_absolute_error 1.0196538904574723 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 0.3932108593122875 root_mean_squared_error 0.3932108593122875 root_mean_squared_error 0.3932108593122875 root_mean_squared_error 0.3931654609306971 root_mean_squared_error 0.3931220883520716 root_mean_squared_error 0.3931669250917314 root_mean_squared_error 0.3931669250917314 root_mean_squared_error 0.3931944826746648 root_mean_squared_error 0.3931944826746648 root_mean_squared_error 0.3931944826746648 root_relative_squared_error 1.0043812771943552 root_relative_squared_error 1.0043812771943552 root_relative_squared_error 1.0043812771943552 root_relative_squared_error 1.0044413920581499 root_relative_squared_error 1.0045530697541265 root_relative_squared_error 1.0044331638263548 root_relative_squared_error 1.0044331638263548 root_relative_squared_error 1.0043677605533454 root_relative_squared_error 1.0043677605533454 root_relative_squared_error 1.0043677605533454 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 32255.582138001046 usercpu_time_millis 32227.296107001166 usercpu_time_millis 32159.724143999483 usercpu_time_millis 32326.662784998916 usercpu_time_millis 32238.21065700031 usercpu_time_millis 32197.79660599852 usercpu_time_millis 32156.82162199846 usercpu_time_millis 32232.42604400184 usercpu_time_millis 32113.430953997522 usercpu_time_millis 32107.196180000756 usercpu_time_millis_testing 18.309450999367982 usercpu_time_millis_testing 17.042254001353285 usercpu_time_millis_testing 18.61775699944701 usercpu_time_millis_testing 16.984396999760065 usercpu_time_millis_testing 17.679624001175398 usercpu_time_millis_testing 17.915152999194106 usercpu_time_millis_testing 17.168816999401315 usercpu_time_millis_testing 17.931142001543776 usercpu_time_millis_testing 17.20776199908869 usercpu_time_millis_testing 17.84308900096221 usercpu_time_millis_training 32237.272687001678 usercpu_time_millis_training 32210.253852999813 usercpu_time_millis_training 32141.106387000036 usercpu_time_millis_training 32309.678387999156 usercpu_time_millis_training 32220.531032999133 usercpu_time_millis_training 32179.881452999325 usercpu_time_millis_training 32139.65280499906 usercpu_time_millis_training 32214.494902000297 usercpu_time_millis_training 32096.223191998433 usercpu_time_millis_training 32089.353090999793