9996234 7518 Thomas Boquet 145804 Supervised Classification 8887 sklearn.ensemble.forest.RandomForestClassifier(47) 7921012 bootstrap true 8887 class_weight null 8887 criterion "gini" 8887 max_depth 15 8887 max_features 7 8887 max_leaf_nodes null 8887 min_impurity_decrease 0.0 8887 min_impurity_split null 8887 min_samples_leaf 10 8887 min_samples_split 6 8887 min_weight_fraction_leaf 0.0 8887 n_estimators 500 8887 n_jobs 4 8887 oob_score false 8887 random_state 0 8887 verbose 0 8887 warm_start false 8887 openml-python Sklearn_0.20.2. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 20912990 description https://api.openml.org/data/download/20912990/description.xml -1 20912991 predictions https://api.openml.org/data/download/20912991/predictions.arff area_under_roc_curve 0.9793631394587936 [0.979363,0.979363] average_cost 0 f_measure 0.865188070445375 [0.777164,0.911872] kappa 0.6950248625325581 kb_relative_information_score 472.567002531932 mean_absolute_error 0.25325739136612063 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.8941542090421533 [1,0.838019] predictive_accuracy 0.8736951983298539 prior_entropy 0.9312461581068427 recall 0.8736951983298539 [0.635542,1] relative_absolute_error 0.5590577494505634 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.30739479124245395 root_relative_squared_error 0.6459601203853877 total_cost 0 area_under_roc_curve 0.9908609908609908 [0.990861,0.990861] area_under_roc_curve 0.9966329966329966 [0.996633,0.996633] area_under_roc_curve 0.9894179894179894 [0.989418,0.989418] area_under_roc_curve 0.9668109668109667 [0.966811,0.966811] area_under_roc_curve 0.9759499759499759 [0.97595,0.97595] area_under_roc_curve 0.9817219817219818 [0.981722,0.981722] area_under_roc_curve 0.9829222011385199 [0.982922,0.982922] area_under_roc_curve 0.9767552182163189 [0.976755,0.976755] area_under_roc_curve 0.9418377321603129 [0.941838,0.941838] area_under_roc_curve 0.9843597262952102 [0.98436,0.98436] 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 0.8543080629835754 [0.754717,0.906475] f_measure 0.878558394160584 [0.8,0.919708] f_measure 0.9246766280107047 [0.881356,0.947368] f_measure 0.8290832290362954 [0.705882,0.893617] f_measure 0.8418269230769231 [0.730769,0.9] f_measure 0.878558394160584 [0.8,0.919708] f_measure 0.8550044238000442 [0.763636,0.905109] f_measure 0.9022715687523895 [0.847458,0.932331] f_measure 0.8274049491057308 [0.705882,0.892086] f_measure 0.8528678810371197 [0.754717,0.905109] kappa 0.6687898089171975 kappa 0.7241379310344827 kappa 0.8297872340425533 kappa 0.6116504854368932 kappa 0.6404494382022471 kappa 0.7241379310344827 kappa 0.6760124610591901 kappa 0.7820383451059536 kappa 0.6103363412633305 kappa 0.667563930013459 kb_relative_information_score 47.29734935360105 kb_relative_information_score 47.54225766762693 kb_relative_information_score 50.56967922657093 kb_relative_information_score 43.01968785333545 kb_relative_information_score 48.95621654311475 kb_relative_information_score 46.18416068742203 kb_relative_information_score 48.04613360748521 kb_relative_information_score 54.70693007467546 kb_relative_information_score 40.51777702308534 kb_relative_information_score 45.72681049501506 mean_absolute_error 0.25083231383012305 mean_absolute_error 0.25722347319205713 mean_absolute_error 0.24368050355911228 mean_absolute_error 0.26805576781570034 mean_absolute_error 0.2399666153547891 mean_absolute_error 0.2614323123518981 mean_absolute_error 0.25186350833506843 mean_absolute_error 0.22313615194659422 mean_absolute_error 0.2786934974403545 mean_absolute_error 0.2580041749359704 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.45325657894736904 mean_prior_absolute_error 0.45325657894736904 number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [34,62] number_of_instances 96 [34,62] number_of_instances 95 [33,62] number_of_instances 95 [33,62] precision 0.8877467105263158 [1,0.828947] precision 0.9024493243243242 [1,0.851351] precision 0.9343750000000001 [1,0.9] precision 0.873798076923077 [1,0.807692] precision 0.8806818181818182 [1,0.818182] precision 0.9024493243243242 [1,0.851351] precision 0.8880555555555555 [1,0.826667] precision 0.9181338028169014 [1,0.873239] precision 0.8728639781271361 [1,0.805195] precision 0.8868771929824562 [1,0.826667] predictive_accuracy 0.8645833333333333 predictive_accuracy 0.8854166666666667 predictive_accuracy 0.9270833333333333 predictive_accuracy 0.84375 predictive_accuracy 0.8541666666666667 predictive_accuracy 0.8854166666666667 predictive_accuracy 0.8645833333333333 predictive_accuracy 0.90625 predictive_accuracy 0.8421052631578948 predictive_accuracy 0.863157894736842 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 recall 0.8645833333333334 [0.606061,1] recall 0.8854166666666666 [0.666667,1] recall 0.9270833333333334 [0.787879,1] recall 0.84375 [0.545455,1] recall 0.8541666666666666 [0.575758,1] recall 0.8854166666666666 [0.666667,1] recall 0.8645833333333334 [0.617647,1] recall 0.90625 [0.735294,1] recall 0.8421052631578947 [0.545455,1] recall 0.8631578947368421 [0.606061,1] relative_absolute_error 0.5547565644968588 relative_absolute_error 0.5688916556126697 relative_absolute_error 0.5389391698585974 relative_absolute_error 0.5928490415621528 relative_absolute_error 0.5307253004822974 relative_absolute_error 0.5782001897372425 relative_absolute_error 0.5531346136726688 relative_absolute_error 0.4900445087074181 relative_absolute_error 0.6148691720869994 relative_absolute_error 0.5692232323139189 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4761342715793188 root_mean_prior_squared_error 0.4761342715793188 root_mean_squared_error 0.30714937348907606 root_mean_squared_error 0.2986542780161085 root_mean_squared_error 0.2855293357752311 root_mean_squared_error 0.3277764210933398 root_mean_squared_error 0.3027900872699368 root_mean_squared_error 0.3069351746322865 root_mean_squared_error 0.30914831612435906 root_mean_squared_error 0.2788309565437177 root_mean_squared_error 0.33955053569266136 root_mean_squared_error 0.31331463955213096 root_relative_squared_error 0.6466722457742248 root_relative_squared_error 0.6287866730147356 root_relative_squared_error 0.6011534215509586 root_relative_squared_error 0.6901004287668085 root_relative_squared_error 0.6374942052095296 root_relative_squared_error 0.6462212715326402 root_relative_squared_error 0.6463270696554033 root_relative_squared_error 0.5829434794644649 root_relative_squared_error 0.7131402966780473 root_relative_squared_error 0.6580384111248252 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