10154811 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8879 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1) 8080389 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 21684 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 21230210 description https://api.openml.org/data/download/21230210/description.xml -1 21230211 predictions https://api.openml.org/data/download/21230211/predictions.arff area_under_roc_curve 0.9548148675507314 [0.0,0.999175,0.934675,0.964039,0.940888,0.975072,0.947253] average_cost 0 f_measure 0.803093500996535 [0.0,0.8,0.829268,0.819444,0.810811,0.740741,0.8] kappa 0.7429789368104314 kb_relative_information_score 144.6825096778683 mean_absolute_error 0.08264808362369325 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.8144324225197139 [0.0,1,0.894737,0.766234,0.789474,0.909091,0.785714] predictive_accuracy 0.8048780487804877 prior_entropy 2.326811368739461 recall 0.8048780487804879 [0.0,0.666667,0.772727,0.880597,0.833333,0.625,0.814815] relative_absolute_error 0.37411022497321716 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.1938065417104285 root_relative_squared_error 0.5841796991793987 total_cost 0 area_under_roc_curve 0.9529006046863189 [0.0,0.0,0.953704,0.984694,0.8625,1,0.981481] area_under_roc_curve 0.909758523292358 [0.0,0.0,0.684211,0.923469,0.911111,1,0.935185] area_under_roc_curve 0.9776524644945698 [0.0,1,0.973684,1,0.944444,0.972222,1] area_under_roc_curve 0.9147839837689462 [0.0,0.975,1,0.97449,0.966667,0.888889,0.473684] area_under_roc_curve 0.9496359947487767 [0.0,1,1,0.959184,0.888889,1,0.947368] area_under_roc_curve 0.9896229260935142 [0.0,0.0,1,0.983516,0.993333,0.980392,1] area_under_roc_curve 0.9514932126696832 [0.0,0.0,1,0.93956,0.92,0.95098,1] area_under_roc_curve 0.9480109126984126 [0.0,0.0,0.722222,0.940476,0.993333,0.976562,1] area_under_roc_curve 0.9799255952380953 [0.0,0.0,1,0.970238,0.986667,0.960938,1] area_under_roc_curve 0.983095238095238 [0.0,0.0,1,0.988095,0.946667,1,1] 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 0.805952380952381 [0.0,1,0.5,0.875,0.8,0.8,0.8] f_measure 0.8077922077922077 [0.0,1,1,0.8,0.727273,1,0.5] f_measure 0.9472727272727273 [0.0,0.0,1,1,0.909091,0.8,1] f_measure 0.7416666666666667 [0.0,0.0,1,0.8,0.666667,0.5,0.8] f_measure 0.7531746031746033 [0.0,0.0,0.666667,0.666667,0.888889,0.571429,1] f_measure 0.8413752913752912 [0.0,0.0,1,0.769231,0.909091,0.666667,1] f_measure 0.7985714285714286 [0.0,0.0,1,0.727273,0.727273,0.8,0.857143] kappa 0.8757396449704142 kappa 0.6798780487804877 kappa 0.7507418397626113 kappa 0.544891640866873 kappa 0.7507418397626113 kappa 0.9337748344370861 kappa 0.6621621621621622 kappa 0.66996699669967 kappa 0.8045602605863191 kappa 0.744408945686901 kb_relative_information_score 15.58052620406139 kb_relative_information_score 12.443674743018716 kb_relative_information_score 15.46553797887357 kb_relative_information_score 13.248495505407003 kb_relative_information_score 15.312572810923479 kb_relative_information_score 14.807583696632673 kb_relative_information_score 13.070597794474377 kb_relative_information_score 14.046132779969344 kb_relative_information_score 15.18283702923204 kb_relative_information_score 15.524551135275798 mean_absolute_error 0.07210884353741495 mean_absolute_error 0.09387755102040815 mean_absolute_error 0.08299319727891155 mean_absolute_error 0.10068027210884352 mean_absolute_error 0.0870748299319728 mean_absolute_error 0.07285714285714284 mean_absolute_error 0.09428571428571428 mean_absolute_error 0.08142857142857142 mean_absolute_error 0.06999999999999998 mean_absolute_error 0.06999999999999999 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 0.8465608465608464 [0.0,1,0.5,0.777778,1,1,0.666667] precision 0.8119047619047619 [0.0,1,1,0.75,0.8,1,0.5] precision 0.9583333333333334 [0.0,0.0,1,1,0.833333,1,1] precision 0.8053571428571429 [0.0,0.0,1,0.75,0.571429,1,1] precision 0.8 [0.0,0.0,1,0.555556,1,0.666667,1] precision 0.8726190476190476 [0.0,0.0,1,0.714286,0.833333,1,1] precision 0.8191666666666666 [0.0,0.0,1,0.8,0.666667,1,0.75] predictive_accuracy 0.9047619047619048 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.95 predictive_accuracy 0.75 predictive_accuracy 0.75 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 0.9047619047619048 [0.0,0.0,0.666667,1,0.8,1,1] recall 0.7619047619047619 [0.0,0.0,0,0.857143,0.833333,1,0.666667] recall 0.8095238095238095 [0.0,1,0.5,1,0.666667,0.666667,1] recall 0.6666666666666666 [0.0,0,1,0.857143,1,0,0] recall 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] recall 0.95 [0.0,0.0,1,1,1,0.666667,1] recall 0.75 [0.0,0.0,1,0.857143,0.8,0.333333,0.666667] recall 0.75 [0.0,0.0,0.5,0.833333,0.8,0.5,1] 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 0.3257755871267033 relative_absolute_error 0.4280948200175592 relative_absolute_error 0.3758209822725952 relative_absolute_error 0.4559139784946237 relative_absolute_error 0.3943039814007557 relative_absolute_error 0.33165644171779135 relative_absolute_error 0.42920245398773 relative_absolute_error 0.3667374810318665 relative_absolute_error 0.31526555386949917 relative_absolute_error 0.3143116490166414 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 0.1765119332652442 root_mean_squared_error 0.23299294900428702 root_mean_squared_error 0.1888021676342763 root_mean_squared_error 0.23704530408864083 root_mean_squared_error 0.1972601445448379 root_mean_squared_error 0.161245154965971 root_mean_squared_error 0.19964253769460769 root_mean_squared_error 0.1904880948660947 root_mean_squared_error 0.16647608150808246 root_mean_squared_error 0.16775832957816772 root_relative_squared_error 0.5310227398879352 root_relative_squared_error 0.707547956077119 root_relative_squared_error 0.569321249624661 root_relative_squared_error 0.714795441346947 root_relative_squared_error 0.5948257554486888 root_relative_squared_error 0.4887987043607431 root_relative_squared_error 0.6051965640828668 root_relative_squared_error 0.5712881720628479 root_relative_squared_error 0.49927433188826625 root_relative_squared_error 0.5016020937106329 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