10129651 287 Hugo Spee 9 Supervised Classification predictive_accuracy 8879 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(1) 8055100 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 35385 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 21179841 description https://api.openml.org/data/download/21179841/description.xml -1 21179840 predictions https://api.openml.org/data/download/21179840/predictions.arff area_under_roc_curve 0.9341781025503634 [0.0,0.99835,0.943244,0.930943,0.911271,0.957731,0.945589] average_cost 0 f_measure 0.8092563720158522 [0.0,0.8,0.844444,0.832117,0.792793,0.785714,0.785714] kappa 0.7516618003354664 kb_relative_information_score 142.17328107516434 mean_absolute_error 0.08613240418118455 mean_prior_absolute_error 0.22091907172440978 number_of_instances 205 [0,3,22,67,54,32,27] precision 0.8157627238095605 [0.0,1,0.826087,0.814286,0.77193,0.916667,0.758621] predictive_accuracy 0.8097560975609756 prior_entropy 2.326811368739461 recall 0.8097560975609757 [0.0,0.666667,0.863636,0.850746,0.814815,0.6875,0.814815] relative_absolute_error 0.3898821568860848 root_mean_prior_squared_error 0.33175843320586096 root_mean_squared_error 0.20338597212820894 root_relative_squared_error 0.613054414812735 total_cost 0 area_under_roc_curve 0.9351143235071807 [0.0,0.0,0.824074,0.97449,0.86875,1,1] area_under_roc_curve 0.9361936587500498 [0.0,0.0,0.973684,0.908163,0.911111,1,0.962963] area_under_roc_curve 0.9011477105462068 [0.0,1,0.960526,0.979592,0.755556,0.87963,0.986842] area_under_roc_curve 0.8906154274575326 [0.0,1,1,0.892857,0.977778,0.87963,0.473684] area_under_roc_curve 0.9149242153001551 [0.0,1,1,0.923469,0.822222,1,0.907895] area_under_roc_curve 0.9619909502262445 [0.0,0.0,1,0.895604,1,0.990196,1] area_under_roc_curve 0.9166289592760182 [0.0,0.0,1,0.862637,0.9,0.931373,1] area_under_roc_curve 0.9733333333333334 [0.0,0.0,0.75,1,0.993333,1,1] area_under_roc_curve 0.9848214285714285 [0.0,0.0,1,0.970238,1,0.96875,1] area_under_roc_curve 0.9544747899159665 [0.0,0.0,1,0.934524,0.92,0.960784,1] 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 0.7197278911564625 [0.0,0.0,0.5,0.769231,0.769231,0.8,0.571429] f_measure 0.7506493506493507 [0.0,1,0.8,0.857143,0.727273,0.4,0.8] f_measure 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] f_measure 0.8989210789210788 [0.0,0.0,1,0.923077,0.909091,0.8,0.857143] f_measure 0.8066666666666666 [0.0,0.0,1,0.857143,0.666667,0.8,0.8] f_measure 0.8441666666666666 [0.0,0.0,0.666667,0.8,0.75,1,1] f_measure 0.8413752913752912 [0.0,0.0,1,0.769231,0.909091,0.666667,1] f_measure 0.8507692307692309 [0.0,0.0,1,0.769231,0.8,0.8,1] kappa 0.8757396449704142 kappa 0.6238805970149254 kappa 0.6938775510204082 kappa 0.5611940298507463 kappa 0.7514792899408285 kappa 0.869281045751634 kappa 0.7333333333333334 kappa 0.8026315789473684 kappa 0.8045602605863191 kappa 0.8058252427184466 kb_relative_information_score 15.80937805169333 kb_relative_information_score 12.716464107976229 kb_relative_information_score 14.327924633373424 kb_relative_information_score 13.26829016271659 kb_relative_information_score 14.256042059112358 kb_relative_information_score 14.744319038861134 kb_relative_information_score 12.540306393653715 kb_relative_information_score 15.026043254286224 kb_relative_information_score 14.981216465514512 kb_relative_information_score 14.503296907976878 mean_absolute_error 0.06802721088435373 mean_absolute_error 0.10068027210884352 mean_absolute_error 0.09659863945578231 mean_absolute_error 0.09931972789115646 mean_absolute_error 0.0979591836734694 mean_absolute_error 0.0757142857142857 mean_absolute_error 0.10285714285714284 mean_absolute_error 0.06571428571428573 mean_absolute_error 0.07428571428571429 mean_absolute_error 0.07857142857142857 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 0.743764172335601 [0.0,0.0,0.5,0.833333,0.714286,1,0.5] precision 0.7603174603174603 [0.0,1,0.666667,0.857143,0.8,0.5,0.666667] precision 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] precision 0.9208333333333334 [0.0,0.0,1,1,0.833333,1,0.75] precision 0.8428571428571429 [0.0,0.0,1,0.857143,0.571429,1,1] precision 0.9 [0.0,0.0,1,0.666667,1,1,1] precision 0.8726190476190476 [0.0,0.0,1,0.714286,0.833333,1,1] precision 0.8642857142857142 [0.0,0.0,1,0.714286,0.8,1,1] predictive_accuracy 0.9047619047619048 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7619047619047619 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.8095238095238095 predictive_accuracy 0.9 predictive_accuracy 0.8 predictive_accuracy 0.85 predictive_accuracy 0.85 predictive_accuracy 0.85 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 0.7142857142857143 [0.0,0.0,0.5,0.714286,0.833333,0.666667,0.666667] recall 0.7619047619047619 [0.0,1,1,0.857143,0.666667,0.333333,1] recall 0.6666666666666666 [0.0,0,1,0.714286,1,0.333333,0] recall 0.8095238095238095 [0.0,1,1,0.857143,0.666667,1,0.5] recall 0.9 [0.0,0.0,1,0.857143,1,0.666667,1] recall 0.8 [0.0,0.0,1,0.857143,0.8,0.666667,0.666667] recall 0.85 [0.0,0.0,0.5,1,0.6,1,1] recall 0.85 [0.0,0.0,1,0.833333,1,0.5,1] recall 0.85 [0.0,0.0,1,0.833333,0.8,0.666667,1] relative_absolute_error 0.30733545955349373 relative_absolute_error 0.4591161837869475 relative_absolute_error 0.43743097936646336 relative_absolute_error 0.4497529787852369 relative_absolute_error 0.44359197907585013 relative_absolute_error 0.3446625766871165 relative_absolute_error 0.46822085889570547 relative_absolute_error 0.2959635811836116 relative_absolute_error 0.3345675265553869 relative_absolute_error 0.3527987897125567 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 0.18220120447341898 root_mean_squared_error 0.2264785133446498 root_mean_squared_error 0.2249716535431946 root_mean_squared_error 0.24383556408556398 root_mean_squared_error 0.22223355980148637 root_mean_squared_error 0.16647608150808246 root_mean_squared_error 0.2148088851580799 root_mean_squared_error 0.17154757774032087 root_mean_squared_error 0.1690308509457033 root_mean_squared_error 0.18973665961010278 root_relative_squared_error 0.5481384800480675 root_relative_squared_error 0.68776505854451 root_relative_squared_error 0.6783880954875501 root_relative_squared_error 0.735271050049772 root_relative_squared_error 0.6701315432977552 root_relative_squared_error 0.5046557396740207 root_relative_squared_error 0.6511718431019143 root_relative_squared_error 0.5144841318192057 root_relative_squared_error 0.5069362782324008 root_relative_squared_error 0.5673179147253208 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