10226509 1 Jan van Rijn 9983 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) 8151941 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]}}, {"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 0.03125880067536168 9667 loss "deviance" 9667 max_depth 25 9667 max_features 0.3306706556870077 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.9990803990646743 9667 min_impurity_split null 9667 min_samples_leaf 10 9667 min_samples_split 3 9667 min_weight_fraction_leaf 0.35116292567827856 9667 n_estimators 170 9667 n_iter_no_change 1277 9667 presort "auto" 9667 random_state 52765 9667 subsample 0.8011577886849449 9667 tol 0.05197656414693303 9667 validation_fraction 0.7299656638213107 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 21373934 description https://api.openml.org/data/download/21373934/description.xml -1 21373935 predictions https://api.openml.org/data/download/21373935/predictions.arff area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 kappa 0 kb_relative_information_score -21.735630036914834 mean_absolute_error 0.4952076441121473 mean_prior_absolute_error 0.4947574918117115 number_of_instances 14980 [8257,6723] predictive_accuracy 0.5512016021361815 prior_entropy 0.9924243999391255 recall 0.5512016021361815 [1,0] relative_absolute_error 1.0009098443336095 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.4973909728248185 root_relative_squared_error 1.0000391777997422 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 -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.182064553901489 kb_relative_information_score -2.15372605320147 kb_relative_information_score -2.15372605320147 kb_relative_information_score -2.15372605320147 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.4951888995649948 mean_absolute_error 0.49525138138882596 mean_absolute_error 0.49525138138882596 mean_absolute_error 0.49525138138882596 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5514018691588786 predictive_accuracy 0.5507343124165555 predictive_accuracy 0.5507343124165555 predictive_accuracy 0.5507343124165555 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 prior_entropy 0.9924243999391255 recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5514018691588785 [1,0] recall 0.5507343124165555 [1,0] recall 0.5507343124165555 [1,0] recall 0.5507343124165555 [1,0] relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009134409044003 relative_absolute_error 1.0009014534944114 relative_absolute_error 1.0009014534944114 relative_absolute_error 1.0009014534944114 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.49737212959763366 root_mean_squared_error 0.4974349375790933 root_mean_squared_error 0.4974349375790933 root_mean_squared_error 0.4974349375790933 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.000042739914872 root_relative_squared_error 1.0000308684446115 root_relative_squared_error 1.0000308684446115 root_relative_squared_error 1.0000308684446115 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 397.0174650021363 usercpu_time_millis 385.3212550020544 usercpu_time_millis 363.62708400702104 usercpu_time_millis 360.0838069978636 usercpu_time_millis 363.5675350014935 usercpu_time_millis 360.0895479976316 usercpu_time_millis 360.0973960055853 usercpu_time_millis 359.6259500045562 usercpu_time_millis 359.2409939956269 usercpu_time_millis 359.3354949989589 usercpu_time_millis_testing 1.7827789997681975 usercpu_time_millis_testing 1.655066997045651 usercpu_time_millis_testing 1.6463350038975477 usercpu_time_millis_testing 1.7889769951580092 usercpu_time_millis_testing 1.6369970035157166 usercpu_time_millis_testing 1.7568449984537438 usercpu_time_millis_testing 1.6776289994595572 usercpu_time_millis_testing 1.640533002500888 usercpu_time_millis_testing 1.7868259965325706 usercpu_time_millis_testing 1.6411120013799518 usercpu_time_millis_training 395.2346860023681 usercpu_time_millis_training 383.66618800500873 usercpu_time_millis_training 361.9807490031235 usercpu_time_millis_training 358.29483000270557 usercpu_time_millis_training 361.9305379979778 usercpu_time_millis_training 358.33270299917785 usercpu_time_millis_training 358.41976700612577 usercpu_time_millis_training 357.9854170020553 usercpu_time_millis_training 357.45416799909435 usercpu_time_millis_training 357.69438299757894