9996064 7518 Thomas Boquet 145804 Supervised Classification 8887 sklearn.ensemble.forest.RandomForestClassifier(47) 7920911 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 3 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 20912650 description https://api.openml.org/data/download/20912650/description.xml -1 20912651 predictions https://api.openml.org/data/download/20912651/predictions.arff area_under_roc_curve 0.9987971053543246 [0.998797,0.998797] average_cost 0 f_measure 0.9423029456959843 [0.911475,0.958652] kappa 0.8706014187519385 kb_relative_information_score 645.0661715823557 mean_absolute_error 0.17238322055050148 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.9481088051086822 [1,0.920588] predictive_accuracy 0.9436325678496869 prior_entropy 0.9312461581068427 recall 0.9436325678496869 [0.837349,1] relative_absolute_error 0.38053055353746174 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.2285538160768845 root_relative_squared_error 0.4802835140791876 total_cost 0 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 0.9980759980759982 [0.998076,0.998076] area_under_roc_curve 0.9995189995189996 [0.999519,0.999519] area_under_roc_curve 0.9985569985569985 [0.998557,0.998557] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9951124144672532 [0.995112,0.995112] area_under_roc_curve 0.9965786901270773 [0.996579,0.996579] 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 0.8773489278752438 [0.8,0.918519] f_measure 0.9680421526256586 [0.952381,0.976378] 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 0.7230320699708453 kappa 0.9288389513108615 kb_relative_information_score 66.07261707638985 kb_relative_information_score 67.18246964382712 kb_relative_information_score 67.26087150072296 kb_relative_information_score 60.864837890385935 kb_relative_information_score 64.20864952337571 kb_relative_information_score 63.451450243434095 kb_relative_information_score 65.10196669525925 kb_relative_information_score 70.31951754857721 kb_relative_information_score 57.94511719304389 kb_relative_information_score 62.6586742673395 mean_absolute_error 0.1660403524205913 mean_absolute_error 0.16253264432496967 mean_absolute_error 0.16275691845769966 mean_absolute_error 0.18670969213418664 mean_absolute_error 0.17184651271930684 mean_absolute_error 0.18042503999259765 mean_absolute_error 0.17214778504546066 mean_absolute_error 0.14689293866706557 mean_absolute_error 0.19626405277900638 mean_absolute_error 0.1785290466550993 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 0.9016582552271089 [1,0.849315] precision 0.9698785425101215 [1,0.953846] 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 0.8842105263157894 predictive_accuracy 0.9684210526315788 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 0.8842105263157894 [0.666667,1] recall 0.968421052631579 [0.909091,1] relative_absolute_error 0.36722531507275424 relative_absolute_error 0.3594674466280101 relative_absolute_error 0.35996346544424235 relative_absolute_error 0.412938930335652 relative_absolute_error 0.3800665853662417 relative_absolute_error 0.3990393973054422 relative_absolute_error 0.3780654815982659 relative_absolute_error 0.3226015924973011 relative_absolute_error 0.4330087237449587 relative_absolute_error 0.39388076190688814 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 0.21806893022655022 root_mean_squared_error 0.20753828996732876 root_mean_squared_error 0.202554363933215 root_mean_squared_error 0.2510964576042959 root_mean_squared_error 0.2328723224579141 root_mean_squared_error 0.2266585310467336 root_mean_squared_error 0.233242489927877 root_mean_squared_error 0.20425450859718014 root_mean_squared_error 0.266601240111519 root_mean_squared_error 0.23470987322938883 root_relative_squared_error 0.45912229362955664 root_relative_squared_error 0.4369510851764376 root_relative_squared_error 0.4264579280371554 root_relative_squared_error 0.5286584449136031 root_relative_squared_error 0.49028935345646935 root_relative_squared_error 0.477206837933176 root_relative_squared_error 0.48763304592470463 root_relative_squared_error 0.4270287467857821 root_relative_squared_error 0.5599286924405023 root_relative_squared_error 0.49294891638626503 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