9996031 7518 Thomas Boquet 145804 Supervised Classification 8887 sklearn.ensemble.forest.RandomForestClassifier(47) 7920896 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 3 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 20912583 description https://api.openml.org/data/download/20912583/description.xml -1 20912585 predictions https://api.openml.org/data/download/20912585/predictions.arff area_under_roc_curve 0.9997016821278726 [0.999702,0.999702] average_cost 0 f_measure 0.9575544298166893 [0.935897,0.96904] kappa 0.9051259705276501 kb_relative_information_score 685.179686976845 mean_absolute_error 0.15243439258491448 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9607540734889378 [1,0.93994] predictive_accuracy 0.9582463465553236 prior_entropy 0.9312461581068427 recall 0.9582463465553236 [0.879518,1] relative_absolute_error 0.3364941413859408 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.20886383549359577 root_relative_squared_error 0.4389069436546901 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 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9995189995189996 [0.999519,0.999519] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9990224828934506 [0.999022,0.999022] area_under_roc_curve 0.9995112414467253 [0.999511,0.999511] 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 0.9895442156268928 [0.984615,0.992126] f_measure 0.97900390625 [0.96875,0.984375] f_measure 0.9683693244739757 [0.952381,0.976744] f_measure 0.9467760605681391 [0.918033,0.961832] f_measure 0.9357954545454544 [0.9,0.954545] f_measure 0.9683693244739757 [0.952381,0.976744] f_measure 0.9468592346499323 [0.920635,0.96124] f_measure 0.9576822916666666 [0.9375,0.96875] f_measure 0.9009893153937475 [0.842105,0.932331] f_measure 0.9787855054302422 [0.96875,0.984127] kappa 0.9767441860465117 kappa 0.953147877013177 kappa 0.9292035398230089 kappa 0.8802395209580838 kappa 0.8552036199095022 kappa 0.9292035398230089 kappa 0.8822374877330715 kappa 0.9064327485380118 kappa 0.7768206734534066 kappa 0.9529003470500744 kb_relative_information_score 70.33655340879712 kb_relative_information_score 71.1840091037594 kb_relative_information_score 70.60930390350346 kb_relative_information_score 64.90275567400111 kb_relative_information_score 67.957999589146 kb_relative_information_score 66.8605979293629 kb_relative_information_score 69.69680285876859 kb_relative_information_score 73.89011396744209 kb_relative_information_score 62.15780614044533 kb_relative_information_score 67.5837444016209 mean_absolute_error 0.14524414445508194 mean_absolute_error 0.14063652597402593 mean_absolute_error 0.14589098176129425 mean_absolute_error 0.16775151856245604 mean_absolute_error 0.15339236035954787 mean_absolute_error 0.16302085588023088 mean_absolute_error 0.1491658706455581 mean_absolute_error 0.12863217893217893 mean_absolute_error 0.17585453990453986 mean_absolute_error 0.15502590415432524 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 0.98974609375 [1,0.984375] precision 0.9798076923076923 [1,0.969231] precision 0.9701704545454546 [1,0.954545] precision 0.9517463235294118 [1,0.926471] precision 0.9429347826086957 [1,0.913043] precision 0.9701704545454546 [1,0.954545] precision 0.9518034825870648 [1,0.925373] precision 0.960858585858586 [1,0.939394] precision 0.9172720533728688 [1,0.873239] precision 0.9796052631578948 [1,0.96875] predictive_accuracy 0.9895833333333333 predictive_accuracy 0.9791666666666667 predictive_accuracy 0.96875 predictive_accuracy 0.9479166666666667 predictive_accuracy 0.9375 predictive_accuracy 0.96875 predictive_accuracy 0.9479166666666667 predictive_accuracy 0.9583333333333333 predictive_accuracy 0.9052631578947369 predictive_accuracy 0.9789473684210526 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 0.9895833333333334 [0.969697,1] recall 0.9791666666666666 [0.939394,1] recall 0.96875 [0.909091,1] recall 0.9479166666666666 [0.848485,1] recall 0.9375 [0.818182,1] recall 0.96875 [0.909091,1] recall 0.9479166666666666 [0.852941,1] recall 0.9583333333333334 [0.882353,1] recall 0.9052631578947369 [0.727273,1] recall 0.9789473684210527 [0.939394,1] relative_absolute_error 0.32123110998272936 relative_absolute_error 0.3110406103615601 relative_absolute_error 0.3226616961632075 relative_absolute_error 0.3710098380301398 relative_absolute_error 0.33925221816020906 relative_absolute_error 0.3605472060936419 relative_absolute_error 0.3275933333022261 relative_absolute_error 0.2824978936800494 relative_absolute_error 0.38798011561782453 relative_absolute_error 0.34202681517464845 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 0.1947260418657704 root_mean_squared_error 0.1889013891286013 root_mean_squared_error 0.18431873707776356 root_mean_squared_error 0.2318856850736671 root_mean_squared_error 0.21461580223768784 root_mean_squared_error 0.20964161871929357 root_mean_squared_error 0.21177381255791194 root_mean_squared_error 0.18629094426522919 root_mean_squared_error 0.2476272756256544 root_mean_squared_error 0.21024691315070837 root_relative_squared_error 0.409976179907598 root_relative_squared_error 0.39771295689134106 root_relative_squared_error 0.38806464193743634 root_relative_squared_error 0.4882120872527716 root_relative_squared_error 0.45185207846962605 root_relative_squared_error 0.44137943322150686 root_relative_squared_error 0.4427491290143337 root_relative_squared_error 0.38947286409235743 root_relative_squared_error 0.5200786635338901 root_relative_squared_error 0.4415706360588738 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