10227117 1 Jan van Rijn 125921 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) 8152549 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]}}, {"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 0.014963576471840179 9667 loss "deviance" 9667 max_depth 6 9667 max_features 0.8745748426205976 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5135707633631957 9667 min_impurity_split null 9667 min_samples_leaf 4 9667 min_samples_split 2 9667 min_weight_fraction_leaf 0.252528991576276 9667 n_estimators 418 9667 n_iter_no_change 1860 9667 presort "auto" 9667 random_state 36777 9667 subsample 0.49272634299884477 9667 tol 0.006914121809475711 9667 validation_fraction 0.5368227282177855 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 40496 LED-display-domain-7digit https://www.openml.org/data/download/4535757/phpSj3fWL -1 21375150 description https://api.openml.org/data/download/21375150/description.xml -1 21375151 predictions https://api.openml.org/data/download/21375151/predictions.arff area_under_roc_curve 0.4779368550789907 [0.953016,0.076324,0.421765,0.830739,0.300459,0.32864,0.814781,0.144965,0.253303,0.646952] average_cost 0 f_measure 0.08363454867548306 [0.731183,0,0.024691,0.022989,0,0,0.055556,0,0,0.07619] kappa -0.014622103220592614 kb_relative_information_score 42.71630748189311 mean_absolute_error 0.17957476164630173 mean_prior_absolute_error 0.17974901960784273 number_of_instances 500 [45,37,51,57,52,52,47,57,53,49] precision 0.08257295081967213 [0.708333,0,0.033333,0.033333,0,0,0.04918,0,0,0.071429] predictive_accuracy 0.086 prior_entropy 3.3126901837382854 recall 0.086 [0.755556,0,0.019608,0.017544,0,0,0.06383,0,0,0.081633] relative_absolute_error 0.9990305484729699 root_mean_prior_squared_error 0.29978667283894056 root_mean_squared_error 0.32368318456521294 root_relative_squared_error 1.0797117213382954 total_cost 0 area_under_roc_curve 0.44763285024154587 [0.978261,0.103261,0.462222,0.8,0.271111,0.266667,0.831111,0.05303,0.19697,0.68] area_under_roc_curve 0.4502178304787 [1,0.008152,0.457778,0.78,0.284444,0.228889,0.817778,0.085227,0.251894,0.722222] area_under_roc_curve 0.45571058410188847 [0.896739,0.184783,0.322222,0.748889,0.32,0.314394,0.836957,0.253788,0.268939,0.626667] area_under_roc_curve 0.46984233640755385 [0.978261,0,0.268889,0.867424,0.362222,0.265152,0.820652,0.090909,0.333333,0.826667] area_under_roc_curve 0.4404543258673694 [1,0.152174,0.253788,0.842803,0.280303,0.382222,0.907609,0.022222,0.222222,0.477778] area_under_roc_curve 0.5099732103645147 [0.948889,0.105978,0.475556,0.935606,0.333333,0.293333,0.822222,0.06,0.342222,0.6875] area_under_roc_curve 0.5132070707070707 [0.997778,0,0.362222,0.785985,0.395556,0.406667,0.808889,0.351111,0.173333,0.693333] area_under_roc_curve 0.48527541371158395 [0.988889,0.042553,0.404444,0.869318,0.377778,0.233333,0.797778,0.151515,0.186667,0.613333] area_under_roc_curve 0.4813397807865893 [0.851111,0.035461,0.56,0.689394,0.262222,0.526667,0.751111,0.181818,0.213333,0.582222] area_under_roc_curve 0.5139363851278744 [0.96,0.039007,0.557778,0.907197,0.142222,0.444444,0.804444,0.191288,0.34,0.548889] 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 0.07904761904761905 [0.571429,0,0,0,0,0,0,0,0,0.333333] f_measure 0.08 [0.8,0,0,0,0,0,0.2,0,0,0] f_measure 0.08727272727272727 [0.727273,0,0,0,0,0,0,0,0,0.181818] f_measure 0.10555555555555556 [0.888889,0,0,0,0,0,0,0,0,0.166667] f_measure 0.08888888888888889 [0.888889,0,0,0,0,0,0,0,0,0] f_measure 0.05818181818181818 [0.4,0,0,0,0,0,0.181818,0,0,0] f_measure 0.1183333333333333 [0.666667,0,0.25,0.222222,0,0,0,0,0,0] kappa -0.02449888641425389 kappa -0.023587004895416104 kappa -0.019955654101995568 kappa -0.021314387211367667 kappa 0.0004442470013327537 kappa 0.0031014621178555722 kappa 0.0022172949002217312 kappa -0.020408163265306124 kappa -0.040283311199645865 kappa -0.0004446420631391703 kb_relative_information_score 4.63889403244236 kb_relative_information_score 3.728455390890182 kb_relative_information_score 3.1898659413331645 kb_relative_information_score 4.273969852319391 kb_relative_information_score 4.864559304666445 kb_relative_information_score 4.638618142556503 kb_relative_information_score 4.439373646375751 kb_relative_information_score 4.508482585371937 kb_relative_information_score 3.339585351472392 kb_relative_information_score 5.094503234464997 mean_absolute_error 0.17933405741724898 mean_absolute_error 0.18069196713811703 mean_absolute_error 0.1820418819271236 mean_absolute_error 0.18113950130325637 mean_absolute_error 0.17786751578796242 mean_absolute_error 0.17861008104223258 mean_absolute_error 0.17846744253509164 mean_absolute_error 0.17882960284319657 mean_absolute_error 0.18153473481587237 mean_absolute_error 0.17723083165291528 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17974117647058832 mean_prior_absolute_error 0.17970980392156874 mean_prior_absolute_error 0.17975686274509817 mean_prior_absolute_error 0.17981960784313739 mean_prior_absolute_error 0.17984313725490206 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,6,4,6,6,5] number_of_instances 50 [4,4,5,6,5,6,4,6,5,5] number_of_instances 50 [4,4,6,6,6,5,4,5,5,5] number_of_instances 50 [5,4,5,6,6,5,5,5,5,4] number_of_instances 50 [5,4,5,6,5,5,5,5,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] precision 0.0819047619047619 [0.666667,0,0,0,0,0,0,0,0,0.285714] precision 0.06666666666666667 [0.666667,0,0,0,0,0,0.166667,0,0,0] precision 0.07809523809523808 [0.666667,0,0,0,0,0,0,0,0,0.142857] precision 0.11428571428571428 [1,0,0,0,0,0,0,0,0,0.142857] precision 0.1 [1,0,0,0,0,0,0,0,0,0] precision 0.056666666666666664 [0.4,0,0,0,0,0,0.166667,0,0,0] precision 0.14833333333333332 [0.75,0,0.333333,0.333333,0,0,0,0,0,0] predictive_accuracy 0.08 predictive_accuracy 0.08 predictive_accuracy 0.08 predictive_accuracy 0.08 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.08 predictive_accuracy 0.06 predictive_accuracy 0.1 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 recall 0.08 [1,0,0,0,0,0,0,0,0,0] recall 0.08 [1,0,0,0,0,0,0,0,0,0] recall 0.08 [0.75,0,0,0,0,0,0.25,0,0,0] recall 0.08 [0.5,0,0,0,0,0,0,0,0,0.4] recall 0.1 [1,0,0,0,0,0,0.25,0,0,0] recall 0.1 [0.8,0,0,0,0,0,0,0,0,0.25] recall 0.1 [0.8,0,0,0,0,0,0,0,0,0.2] recall 0.08 [0.8,0,0,0,0,0,0,0,0,0] recall 0.06 [0.4,0,0,0,0,0,0.2,0,0,0] recall 0.1 [0.6,0,0.2,0.166667,0,0,0,0,0,0] relative_absolute_error 0.9975173335965113 relative_absolute_error 1.0050704916721886 relative_absolute_error 1.012800102356689 relative_absolute_error 1.0079555892360308 relative_absolute_error 0.9894894307328065 relative_absolute_error 0.9932736656729899 relative_absolute_error 0.9923505854000948 relative_absolute_error 0.9952324034267808 relative_absolute_error 1.0102871536020828 relative_absolute_error 0.9863348335114221 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2997735913561878 root_mean_prior_squared_error 0.2997212597157016 root_mean_prior_squared_error 0.2997997537508937 root_mean_prior_squared_error 0.29990438050674706 root_mean_prior_squared_error 0.29994360613105325 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_squared_error 0.32361628113007157 root_mean_squared_error 0.3280115974370761 root_mean_squared_error 0.32381006786402283 root_mean_squared_error 0.3245995378753278 root_mean_squared_error 0.32209735245457427 root_mean_squared_error 0.3219542436703568 root_mean_squared_error 0.3209141212051734 root_mean_squared_error 0.32354541683830745 root_mean_squared_error 0.32667497081829583 root_mean_squared_error 0.32153666698748884 root_relative_squared_error 1.0793001864917091 root_relative_squared_error 1.093959108141987 root_relative_squared_error 1.0801821014289252 root_relative_squared_error 1.0830047163929055 root_relative_squared_error 1.074374973377089 root_relative_squared_error 1.0735229779783548 root_relative_squared_error 1.0699148594784766 root_relative_squared_error 1.0796291117010788 root_relative_squared_error 1.0900720276182714 root_relative_squared_error 1.0729261738623619 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 2153.9448690018617 usercpu_time_millis 2064.524506997259 usercpu_time_millis 2045.3596639927127 usercpu_time_millis 2067.2690869978396 usercpu_time_millis 2064.052077002998 usercpu_time_millis 2113.833543007786 usercpu_time_millis 2060.5573119973997 usercpu_time_millis 2061.160127988842 usercpu_time_millis 2055.4292270026053 usercpu_time_millis 2077.883171994472 usercpu_time_millis_testing 2.241104004497174 usercpu_time_millis_testing 1.9218219968024641 usercpu_time_millis_testing 2.245361996756401 usercpu_time_millis_testing 1.985003997106105 usercpu_time_millis_testing 2.062972002022434 usercpu_time_millis_testing 2.1360450045904145 usercpu_time_millis_testing 2.1453450026456267 usercpu_time_millis_testing 2.023826993536204 usercpu_time_millis_testing 2.2090650018071756 usercpu_time_millis_testing 2.0687169962911867 usercpu_time_millis_training 2151.7037649973645 usercpu_time_millis_training 2062.6026850004564 usercpu_time_millis_training 2043.1143019959563 usercpu_time_millis_training 2065.2840830007335 usercpu_time_millis_training 2061.9891050009755 usercpu_time_millis_training 2111.6974980031955 usercpu_time_millis_training 2058.411966994754 usercpu_time_millis_training 2059.1363009953056 usercpu_time_millis_training 2053.220162000798 usercpu_time_millis_training 2075.8144549981807