9996178 7518 Thomas Boquet 145804 Supervised Classification 8887 sklearn.ensemble.forest.RandomForestClassifier(47) 7920976 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 8 8887 min_samples_split 4 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 20912878 description https://api.openml.org/data/download/20912878/description.xml -1 20912879 predictions https://api.openml.org/data/download/20912879/predictions.arff area_under_roc_curve 0.9880720966934832 [0.988072,0.988072] average_cost 0 f_measure 0.8712325223300594 [0.788321,0.915205] kappa 0.7087535381067197 kb_relative_information_score 502.8319529183414 mean_absolute_error 0.23962223021455664 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.8978442284858955 [1,0.843666] predictive_accuracy 0.8789144050104385 prior_entropy 0.9312461581068427 recall 0.8789144050104384 [0.650602,1] relative_absolute_error 0.5289585587984368 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.29418419847303956 root_relative_squared_error 0.618199350395754 total_cost 0 area_under_roc_curve 0.9961519961519961 [0.996152,0.996152] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9961519961519961 [0.996152,0.996152] area_under_roc_curve 0.9807599807599807 [0.98076,0.98076] area_under_roc_curve 0.9870129870129869 [0.987013,0.987013] area_under_roc_curve 0.9894179894179894 [0.989418,0.989418] area_under_roc_curve 0.9928842504743832 [0.992884,0.992884] area_under_roc_curve 0.9876660341555977 [0.987666,0.987666] area_under_roc_curve 0.9613880742913002 [0.961388,0.961388] area_under_roc_curve 0.9858260019550342 [0.985826,0.985826] 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 0.8665458937198068 [0.777778,0.913043] 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 0.878558394160584 [0.8,0.919708] f_measure 0.878558394160584 [0.8,0.919708] f_measure 0.8671218487394959 [0.785714,0.911765] 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 0.6966824644549763 kappa 0.7241379310344827 kappa 0.8297872340425533 kappa 0.6116504854368932 kappa 0.7241379310344827 kappa 0.7241379310344827 kappa 0.7030927835051546 kappa 0.7820383451059536 kappa 0.6103363412633305 kappa 0.667563930013459 kb_relative_information_score 50.440861324246185 kb_relative_information_score 51.34611879430288 kb_relative_information_score 53.81246489368478 kb_relative_information_score 46.33342279802505 kb_relative_information_score 51.74344505401545 kb_relative_information_score 48.98450544806884 kb_relative_information_score 50.54588965301959 kb_relative_information_score 57.61446381038067 kb_relative_information_score 43.63676360134346 kb_relative_information_score 48.37401754125453 mean_absolute_error 0.23747482356300412 mean_absolute_error 0.2399158066211189 mean_absolute_error 0.2281893256892061 mean_absolute_error 0.25403059938538747 mean_absolute_error 0.2290008522086522 mean_absolute_error 0.24853292855943565 mean_absolute_error 0.23993389203636226 mean_absolute_error 0.20930352936781807 mean_absolute_error 0.26424292295728063 mean_absolute_error 0.24591968580241105 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 0.8949999999999999 [1,0.84] precision 0.9024493243243242 [1,0.851351] precision 0.9343750000000001 [1,0.9] precision 0.873798076923077 [1,0.807692] precision 0.9024493243243242 [1,0.851351] precision 0.9024493243243242 [1,0.851351] precision 0.8952702702702702 [1,0.837838] precision 0.9181338028169014 [1,0.873239] precision 0.8728639781271361 [1,0.805195] precision 0.8868771929824562 [1,0.826667] predictive_accuracy 0.875 predictive_accuracy 0.8854166666666667 predictive_accuracy 0.9270833333333333 predictive_accuracy 0.84375 predictive_accuracy 0.8854166666666667 predictive_accuracy 0.8854166666666667 predictive_accuracy 0.875 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 0.875 [0.636364,1] recall 0.8854166666666666 [0.666667,1] recall 0.9270833333333334 [0.787879,1] recall 0.84375 [0.545455,1] recall 0.8854166666666666 [0.666667,1] recall 0.8854166666666666 [0.666667,1] recall 0.875 [0.647059,1] recall 0.90625 [0.735294,1] recall 0.8421052631578947 [0.545455,1] recall 0.8631578947368421 [0.606061,1] relative_absolute_error 0.5252142966058658 relative_absolute_error 0.5306129286825603 relative_absolute_error 0.5046779039001009 relative_absolute_error 0.5618300945370116 relative_absolute_error 0.5064727271310141 relative_absolute_error 0.54967109901698 relative_absolute_error 0.5269351703858335 relative_absolute_error 0.4596657436502261 relative_absolute_error 0.5829875069236752 relative_absolute_error 0.5425617569049485 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 0.293414880312123 root_mean_squared_error 0.28255679829858005 root_mean_squared_error 0.2703718731409097 root_mean_squared_error 0.3141884690913221 root_mean_squared_error 0.2894854874202395 root_mean_squared_error 0.29449588099770924 root_mean_squared_error 0.29844513049671767 root_mean_squared_error 0.2659001716285272 root_mean_squared_error 0.3262151659601737 root_mean_squared_error 0.3020511596395102 root_relative_squared_error 0.6177556458592752 root_relative_squared_error 0.5948950415847617 root_relative_squared_error 0.5692409019497291 root_relative_squared_error 0.6614923566200175 root_relative_squared_error 0.6094827026425639 root_relative_squared_error 0.6200315845437355 root_relative_squared_error 0.6239502419585367 root_relative_squared_error 0.5559094770563214 root_relative_squared_error 0.6851327145137668 root_relative_squared_error 0.6343823111863346 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