10154918 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8879 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1) 8080457 bootstrap true 8871 class_weight null 8871 criterion "gini" 8871 max_depth null 8871 max_features null 8871 max_leaf_nodes null 8871 min_impurity_decrease 0.0 8871 min_impurity_split null 8871 min_samples_leaf 1 8871 min_samples_split 2 8871 min_weight_fraction_leaf 0.0 8871 n_estimators 10 8871 n_jobs null 8871 oob_score false 8871 random_state 3289 8871 verbose 0 8871 warm_start false 8871 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 memory null 8879 auto-jupyter-notebook openml-python Sklearn_0.20.1. 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 21230559 description https://api.openml.org/data/download/21230559/description.xml -1 21230560 predictions https://api.openml.org/data/download/21230560/predictions.arff area_under_roc_curve 0.9405150052890154 [0.0,1,0.937034,0.946355,0.923044,0.949603,0.946421] average_cost 0 f_measure 0.8193856870128086 [0.0,1,0.8,0.820144,0.803738,0.821429,0.842105] kappa 0.7647770266079513 kb_relative_information_score 141.40576907885378 mean_absolute_error 0.08905923344947725 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.8260343677677957 [0.0,1,0.782609,0.791667,0.811321,0.958333,0.8] predictive_accuracy 0.8195121951219513 prior_entropy 2.326811368739461 recall 0.8195121951219512 [0.0,1,0.818182,0.850746,0.796296,0.71875,0.888889] relative_absolute_error 0.4031305796928936 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.2036598927535225 root_relative_squared_error 0.6138800776984276 total_cost 0 area_under_roc_curve 0.9211545729402874 [0.0,0.0,0.824074,0.94898,0.8625,1,0.972222] area_under_roc_curve 0.9694772645900465 [0.0,0.0,0.947368,0.923469,1,1,1] area_under_roc_curve 0.9178143772128733 [0.0,1,0.947368,0.979592,0.883333,0.740741,1] area_under_roc_curve 0.9029259657079206 [0.0,1,1,0.933673,0.966667,0.962963,0.368421] area_under_roc_curve 0.9111946532999164 [0.0,1,1,0.928571,0.794444,1,0.934211] area_under_roc_curve 0.9745625942684766 [0.0,0.0,1,0.978022,0.946667,0.970588,1] area_under_roc_curve 0.9406108597285068 [0.0,0.0,1,0.93956,0.9,0.911765,1] area_under_roc_curve 0.951046626984127 [0.0,0.0,0.722222,0.988095,0.973333,0.945312,1] area_under_roc_curve 0.9703125 [0.0,0.0,1,0.958333,1,0.914062,1] area_under_roc_curve 0.9564285714285713 [0.0,0.0,1,0.904762,0.94,1,1] 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 0.9023431594860166 [0.0,0.0,0.8,0.933333,0.888889,1,0.857143] f_measure 0.7875457875457876 [0.0,0.0,0,0.714286,0.923077,1,1] f_measure 0.8539682539682542 [0.0,1,0.8,0.933333,0.8,0.8,0.8] f_measure 0.7444444444444445 [0.0,1,0.8,0.833333,0.8,0.8,0] f_measure 0.7657897657897659 [0.0,1,0.666667,0.769231,0.727273,1,0.5] f_measure 0.8516483516483515 [0.0,0.0,1,0.923077,0.8,0.666667,0.857143] f_measure 0.7952380952380952 [0.0,0.0,1,0.8,0.666667,0.8,0.857143] f_measure 0.8005952380952379 [0.0,0.0,0.666667,0.75,0.75,0.857143,1] f_measure 0.8904761904761905 [0.0,0.0,1,0.857143,1,0.666667,1] f_measure 0.7416666666666666 [0.0,0.0,1,0.666667,0.666667,0.5,1] kappa 0.8757396449704142 kappa 0.7454545454545455 kappa 0.8157894736842105 kappa 0.688427299703264 kappa 0.6974063400576369 kappa 0.8051948051948051 kappa 0.7350993377483445 kappa 0.7350993377483445 kappa 0.869281045751634 kappa 0.6753246753246753 kb_relative_information_score 15.389369822135228 kb_relative_information_score 14.309046421548462 kb_relative_information_score 14.94664415526886 kb_relative_information_score 13.39274494882897 kb_relative_information_score 14.329518226559099 kb_relative_information_score 14.053794116395736 kb_relative_information_score 12.532604046897966 kb_relative_information_score 13.686516517073812 kb_relative_information_score 14.58272168303801 kb_relative_information_score 14.182809141107628 mean_absolute_error 0.07482993197278912 mean_absolute_error 0.08435374149659862 mean_absolute_error 0.091156462585034 mean_absolute_error 0.10340136054421765 mean_absolute_error 0.10340136054421768 mean_absolute_error 0.08142857142857143 mean_absolute_error 0.10285714285714284 mean_absolute_error 0.08142857142857142 mean_absolute_error 0.07714285714285714 mean_absolute_error 0.08999999999999997 mean_prior_absolute_error 0.22134514183031703 mean_prior_absolute_error 0.21929149018097804 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.22083172891798225 mean_prior_absolute_error 0.2196765498652291 mean_prior_absolute_error 0.2196765498652291 mean_prior_absolute_error 0.22203504043126684 mean_prior_absolute_error 0.22203504043126684 mean_prior_absolute_error 0.2227088948787062 number_of_instances 21 [0,0,3,7,5,3,3] number_of_instances 21 [0,0,2,7,6,3,3] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 21 [0,1,2,7,6,3,2] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,7,5,3,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,2,6,5,4,3] number_of_instances 20 [0,0,3,6,5,3,3] precision 0.9226190476190477 [0.0,0.0,1,0.875,1,1,0.75] precision 0.7687074829931972 [0.0,0.0,0,0.714286,0.857143,1,1] precision 0.8948412698412698 [0.0,1,0.666667,0.875,1,1,0.666667] precision 0.7777777777777777 [0.0,1,0.666667,1,0.666667,1,0] precision 0.792063492063492 [0.0,1,0.5,0.833333,0.8,1,0.5] precision 0.8625 [0.0,0.0,1,1,0.8,0.666667,0.75] precision 0.8125 [0.0,0.0,1,0.75,0.75,1,0.75] precision 0.8800000000000001 [0.0,0.0,1,0.6,1,1,1] precision 0.925 [0.0,0.0,1,0.75,1,1,1] precision 0.7928571428571429 [0.0,0.0,1,0.666667,0.571429,1,1] predictive_accuracy 0.9047619047619048 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.85 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.9 predictive_accuracy 0.75 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 prior_entropy 2.326811368739461 recall 0.9047619047619048 [0.0,0.0,0.666667,1,0.8,1,1] recall 0.8095238095238095 [0.0,0.0,0,0.714286,1,1,1] recall 0.8571428571428571 [0.0,1,1,1,0.666667,0.666667,1] recall 0.7619047619047619 [0.0,1,1,0.714286,1,0.666667,0] recall 0.7619047619047619 [0.0,1,1,0.714286,0.666667,1,0.5] recall 0.85 [0.0,0.0,1,0.857143,0.8,0.666667,1] recall 0.8 [0.0,0.0,1,0.857143,0.6,0.666667,1] recall 0.8 [0.0,0.0,0.5,1,0.6,0.75,1] recall 0.9 [0.0,0.0,1,1,1,0.5,1] recall 0.75 [0.0,0.0,1,0.666667,0.8,0.333333,1] relative_absolute_error 0.33806900550884317 relative_absolute_error 0.3846649107404155 relative_absolute_error 0.412786980528916 relative_absolute_error 0.4682359779133972 relative_absolute_error 0.46823597791339727 relative_absolute_error 0.37067484662576694 relative_absolute_error 0.46822085889570547 relative_absolute_error 0.3667374810318665 relative_absolute_error 0.3474355083459787 relative_absolute_error 0.40411497730711027 root_mean_prior_squared_error 0.33239995202935096 root_mean_prior_squared_error 0.3292963353269754 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3316267709289768 root_mean_prior_squared_error 0.3298804876679233 root_mean_prior_squared_error 0.3298804876679233 root_mean_prior_squared_error 0.33343609089308945 root_mean_prior_squared_error 0.33343609089308945 root_mean_prior_squared_error 0.33444503458341845 root_mean_squared_error 0.1941315915299001 root_mean_squared_error 0.1898800194035894 root_mean_squared_error 0.21285234893930485 root_mean_squared_error 0.2321153829895989 root_mean_squared_error 0.2237588595137282 root_mean_squared_error 0.1942016624910449 root_mean_squared_error 0.21145752697477033 root_mean_squared_error 0.19639610121239315 root_mean_squared_error 0.18087090897733035 root_mean_squared_error 0.19309509130403676 root_relative_squared_error 0.5840301430391248 root_relative_squared_error 0.5766235424850619 root_relative_squared_error 0.6418430826409085 root_relative_squared_error 0.6999295694354849 root_relative_squared_error 0.674730990163788 root_relative_squared_error 0.5887030902129 root_relative_squared_error 0.6410125329620456 root_relative_squared_error 0.5890067289547375 root_relative_squared_error 0.5424455058025601 root_relative_squared_error 0.5773597193468701 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