10154839 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8876 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 8080399 class_weight null 8847 criterion "gini" 8847 max_depth null 8847 max_features null 8847 max_leaf_nodes null 8847 min_impurity_decrease 0.0 8847 min_impurity_split null 8847 min_samples_leaf 1 8847 min_samples_split 2 8847 min_weight_fraction_leaf 0.0 8847 presort false 8847 random_state 6008 8847 splitter "best" 8847 memory null 8876 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 auto-jupyter-notebook openml-python Sklearn_0.20.1. 9 autos https://www.openml.org/data/download/9/dataset_9_autos.arff -1 21230292 description https://api.openml.org/data/download/21230292/description.xml -1 21230293 predictions https://api.openml.org/data/download/21230293/predictions.arff area_under_roc_curve 0.8605718744566343 [0.0,1,0.918157,0.825817,0.864361,0.848988,0.890553] average_cost 0 f_measure 0.7849574657884542 [0.0,1,0.826087,0.771654,0.792793,0.738462,0.8] kappa 0.723126035975198 kb_relative_information_score 152.5289792746705 mean_absolute_error 0.06132404181184673 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.7868514968129859 [0.0,1,0.791667,0.816667,0.77193,0.727273,0.785714] predictive_accuracy 0.7853658536585365 prior_entropy 2.326811368739461 recall 0.7853658536585366 [0.0,1,0.863636,0.731343,0.814815,0.75,0.814815] relative_absolute_error 0.2775860016664687 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.2476369152849525 root_relative_squared_error 0.7464374391088657 total_cost 0 area_under_roc_curve 0.8531746031746033 [0.0,0.0,0.805556,0.75,0.9,0.944444,0.972222] area_under_roc_curve 0.8847953216374268 [0.0,0.0,0.973684,0.785714,0.883333,0.972222,0.972222] area_under_roc_curve 0.7791144527986633 [0.0,1,0.723684,0.821429,0.8,0.638889,0.723684] area_under_roc_curve 0.8514619883040935 [0.0,1,0.973684,0.857143,0.933333,0.777778,0.5] area_under_roc_curve 0.8713032581453634 [0.0,1,1,0.892857,0.766667,1,0.723684] area_under_roc_curve 0.8761437908496731 [0.0,0.0,0.972222,0.857143,0.833333,0.803922,1] area_under_roc_curve 0.7963800904977376 [0.0,0.0,1,0.741758,0.8,0.803922,0.77451] area_under_roc_curve 0.9354166666666666 [0.0,0.0,0.75,0.916667,0.966667,0.96875,1] area_under_roc_curve 0.8976190476190476 [0.0,0.0,1,0.880952,0.933333,0.75,1] area_under_roc_curve 0.8619047619047618 [0.0,0.0,1,0.761905,0.833333,0.833333,1] 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 0.7586923658352229 [0.0,0.0,0.666667,0.666667,0.888889,0.75,0.857143] f_measure 0.8016079158936302 [0.0,0.0,0.8,0.727273,0.833333,0.857143,0.857143] f_measure 0.6577922077922077 [0.0,1,0.5,0.75,0.727273,0.4,0.5] f_measure 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] f_measure 0.8034848484848485 [0.0,0.0,0.8,0.833333,0.727273,0.666667,1] f_measure 0.706547619047619 [0.0,0.0,1,0.666667,0.75,0.666667,0.571429] f_measure 0.8944444444444443 [0.0,0.0,0.666667,0.909091,0.909091,0.888889,1] f_measure 0.8416666666666666 [0.0,0.0,1,0.833333,0.833333,0.666667,1] f_measure 0.801818181818182 [0.0,0.0,1,0.666667,0.727273,0.8,1] kappa 0.7 kappa 0.7579250720461096 kappa 0.5585585585585585 kappa 0.6902654867256637 kappa 0.7514792899408285 kappa 0.7427652733118971 kappa 0.6052631578947368 kappa 0.8705501618122977 kappa 0.8051948051948051 kappa 0.7419354838709679 kb_relative_information_score 15.169300956825786 kb_relative_information_score 16.077083512712548 kb_relative_information_score 12.842690696104656 kb_relative_information_score 15.307012219698152 kb_relative_information_score 16.807472146718524 kb_relative_information_score 14.927124077643231 kb_relative_information_score 12.561317999987663 kb_relative_information_score 17.152906875626034 kb_relative_information_score 16.084824808661825 kb_relative_information_score 15.599245980692281 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.05442176870748299 mean_absolute_error 0.09523809523809522 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.05442176870748299 mean_absolute_error 0.05714285714285714 mean_absolute_error 0.0857142857142857 mean_absolute_error 0.02857142857142857 mean_absolute_error 0.04285714285714286 mean_absolute_error 0.05714285714285714 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 0.7928571428571429 [0.0,0.0,0.666667,0.8,1,0.6,0.75] precision 0.8492063492063493 [0.0,0.0,0.666667,1,0.833333,0.75,0.75] precision 0.665079365079365 [0.0,1,0.5,0.666667,0.8,0.5,0.5] precision 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] precision 0.8333333333333334 [0.0,0.0,0.666667,1,0.666667,0.666667,1] precision 0.74375 [0.0,0.0,1,0.625,1,0.666667,0.5] precision 0.9183333333333333 [0.0,0.0,1,1,0.833333,0.8,1] precision 0.8785714285714284 [0.0,0.0,1,0.833333,0.714286,1,1] precision 0.8166666666666667 [0.0,0.0,1,0.666667,0.666667,1,1] predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.9 predictive_accuracy 0.85 predictive_accuracy 0.8 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 0.7619047619047619 [0.0,0.0,0.666667,0.571429,0.8,1,1] recall 0.8095238095238095 [0.0,0.0,1,0.571429,0.833333,1,1] recall 0.6666666666666666 [0.0,1,0.5,0.857143,0.666667,0.333333,0.5] recall 0.7619047619047619 [0.0,1,1,0.714286,1,0.666667,0] recall 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] recall 0.8 [0.0,0.0,1,0.714286,0.8,0.666667,1] recall 0.7 [0.0,0.0,1,0.714286,0.6,0.666667,0.666667] recall 0.9 [0.0,0.0,0.5,0.833333,1,1,1] recall 0.85 [0.0,0.0,1,0.833333,1,0.5,1] recall 0.8 [0.0,0.0,1,0.666667,0.8,0.666667,1] relative_absolute_error 0.30733545955349373 relative_absolute_error 0.2481709101551068 relative_absolute_error 0.4312699796570765 relative_absolute_error 0.3080499854693403 relative_absolute_error 0.2464399883754723 relative_absolute_error 0.26012269938650306 relative_absolute_error 0.3901840490797545 relative_absolute_error 0.12867981790591806 relative_absolute_error 0.19301972685887708 relative_absolute_error 0.25658093797276854 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 0.2608202654786505 root_mean_squared_error 0.23328473740792172 root_mean_squared_error 0.30860669992418377 root_mean_squared_error 0.2608202654786505 root_mean_squared_error 0.23328473740792172 root_mean_squared_error 0.23904572186687872 root_mean_squared_error 0.2927700218845599 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.20701966780270625 root_mean_squared_error 0.23904572186687872 root_relative_squared_error 0.7846579516221471 root_relative_squared_error 0.7084340528001358 root_relative_squared_error 0.9305844008301635 root_relative_squared_error 0.7864873657456001 root_relative_squared_error 0.7034556853007606 root_relative_squared_error 0.7246434111844648 root_relative_squared_error 0.8875033014358797 root_relative_squared_error 0.5069362782324008 root_relative_squared_error 0.6208676068874726 root_relative_squared_error 0.7147533888928319 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0