9996039 7518 Thomas Boquet 145804 Supervised Classification 8887 sklearn.ensemble.forest.RandomForestClassifier(47) 7920903 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 2 8887 min_samples_split 8 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 20912600 description https://api.openml.org/data/download/20912600/description.xml -1 20912601 predictions https://api.openml.org/data/download/20912601/predictions.arff area_under_roc_curve 0.9991916547981061 [0.999192,0.999192] average_cost 0 f_measure 0.943400370083191 [0.913257,0.959387] kappa 0.87309101634165 kb_relative_information_score 644.9308270968452 mean_absolute_error 0.17267003602974954 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9489947454349236 [1,0.921944] predictive_accuracy 0.9446764091858038 prior_entropy 0.9312461581068427 recall 0.9446764091858038 [0.840361,1] relative_absolute_error 0.3811636897135514 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.22826259240481728 root_relative_squared_error 0.47967153598578127 total_cost 0 area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9985569985569985 [0.998557,0.998557] area_under_roc_curve 0.9995189995189996 [0.999519,0.999519] area_under_roc_curve 0.9990379990379991 [0.999038,0.999038] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9960899315738025 [0.99609,0.99609] area_under_roc_curve 0.9975562072336267 [0.997556,0.997556] 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 0.9576302729528535 [0.935484,0.969231] f_measure 0.97900390625 [0.96875,0.984375] f_measure 0.9683693244739757 [0.952381,0.976744] f_measure 0.9246766280107047 [0.881356,0.947368] f_measure 0.9246766280107047 [0.881356,0.947368] f_measure 0.9683693244739757 [0.952381,0.976744] f_measure 0.9136363636363636 [0.866667,0.939394] f_measure 0.9359181141439206 [0.903226,0.953846] f_measure 0.9009893153937475 [0.842105,0.932331] f_measure 0.9571943972835314 [0.935484,0.96875] kappa 0.9049034175334325 kappa 0.953147877013177 kappa 0.9292035398230089 kappa 0.8297872340425533 kappa 0.8297872340425533 kappa 0.9292035398230089 kappa 0.8076152304609218 kappa 0.857707509881423 kappa 0.7768206734534066 kappa 0.9044265593561368 kb_relative_information_score 66.17684542806906 kb_relative_information_score 67.44643440967953 kb_relative_information_score 66.67060840866836 kb_relative_information_score 60.16499940902713 kb_relative_information_score 64.29593815671146 kb_relative_information_score 63.64756872514054 kb_relative_information_score 65.15500997692033 kb_relative_information_score 70.27664725965303 kb_relative_information_score 58.63449464229879 kb_relative_information_score 62.46228068067883 mean_absolute_error 0.16528954768679033 mean_absolute_error 0.16099525548339402 mean_absolute_error 0.16644660437655312 mean_absolute_error 0.19122167969665071 mean_absolute_error 0.17136708106090606 mean_absolute_error 0.17992149598436122 mean_absolute_error 0.17145246181684604 mean_absolute_error 0.1466520094794912 mean_absolute_error 0.19360786339563432 mean_absolute_error 0.18004124713426803 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 0.9608208955223881 [1,0.940299] precision 0.9798076923076923 [1,0.969231] precision 0.9701704545454546 [1,0.954545] precision 0.9343750000000001 [1,0.9] precision 0.9343750000000001 [1,0.9] precision 0.9701704545454546 [1,0.954545] precision 0.9261904761904761 [1,0.885714] precision 0.9430147058823529 [1,0.911765] precision 0.9172720533728688 [1,0.873239] precision 0.9604465709728869 [1,0.939394] predictive_accuracy 0.9583333333333333 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.96875 predictive_accuracy 0.9270833333333333 predictive_accuracy 0.9270833333333333 predictive_accuracy 0.96875 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9375 predictive_accuracy 0.9052631578947369 predictive_accuracy 0.9578947368421052 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 0.9583333333333334 [0.878788,1] recall 0.9791666666666666 [0.939394,1] recall 0.96875 [0.909091,1] recall 0.9270833333333334 [0.787879,1] recall 0.9270833333333334 [0.787879,1] recall 0.96875 [0.909091,1] recall 0.9166666666666666 [0.764706,1] recall 0.9375 [0.823529,1] recall 0.9052631578947369 [0.727273,1] recall 0.9578947368421052 [0.878788,1] relative_absolute_error 0.36556478797251196 relative_absolute_error 0.35606726050754917 relative_absolute_error 0.3681238075196331 relative_absolute_error 0.42291792658611244 relative_absolute_error 0.37900624407422795 relative_absolute_error 0.39792572761983935 relative_absolute_error 0.3765384348737134 relative_absolute_error 0.32207247149056073 relative_absolute_error 0.42714849025526347 relative_absolute_error 0.39721706313097754 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 0.21811243392935067 root_mean_squared_error 0.20669820229305977 root_mean_squared_error 0.20507692687096135 root_mean_squared_error 0.25277571397523446 root_mean_squared_error 0.23220802150109923 root_mean_squared_error 0.2243007854169817 root_mean_squared_error 0.23344645038539177 root_mean_squared_error 0.20515194122092606 root_mean_squared_error 0.26210668165139106 root_mean_squared_error 0.23554403715337124 root_relative_squared_error 0.45921388631903504 root_relative_squared_error 0.43518236471057575 root_relative_squared_error 0.4317689316753161 root_relative_squared_error 0.5321939510300241 root_relative_squared_error 0.48889073431968405 root_relative_squared_error 0.47224284063102856 root_relative_squared_error 0.48805945990775235 root_relative_squared_error 0.4289049821319437 root_relative_squared_error 0.5504890055109736 root_relative_squared_error 0.49470086740885266 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