10559727 3180 Claudio Rebelo Sá 145804 Supervised Classification 18704 randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1) 8276245 bootstrap true 18704 intervals_only false 18704 max_depth 3 18704 max_features "auto" 18704 max_samples null 18704 n_bins 20 18704 n_estimators 100 18704 n_jobs 3 18704 quality_function_weight 0.5 18704 result_set_size 20 18704 search_strategy "bestfirst" 18704 verbose 0 18704 openml-python Sklearn_0.23.1. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 22044686 description https://api.openml.org/data/download/22044686/description.xml -1 22044687 predictions https://api.openml.org/data/download/22044687/predictions.arff area_under_roc_curve 0.7291188991092131 [0.733099,0.727008] average_cost 0 f_measure 0.6695665092681803 [0.614286,0.698885] kappa 0.3359292095984665 kb_relative_information_score -1.1793749344512563 mean_absolute_error 0.48759394572025083 mean_prior_absolute_error 0.45300756784968915 weighted_recall 0.6617954070981211 [0.777108,0.600639] number_of_instances 958 [332,626] precision 0.7219957734928227 [0.507874,0.835556] predictive_accuracy 0.661795407098121 prior_entropy 0.9309543116818706 relative_absolute_error 1.0763483445425301 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.6558549138784091 root_relative_squared_error 1.3782150224858285 total_cost 0 unweighted_recall 0.6888737056853613 [0.777108,0.600639] area_under_roc_curve 0.7144585738335739 [0.73545,0.703463] area_under_roc_curve 0.7355173761423761 [0.729678,0.738576] area_under_roc_curve 0.7912082130832131 [0.738336,0.818903] area_under_roc_curve 0.713556697931698 [0.718134,0.711159] area_under_roc_curve 0.7711940836940837 [0.775613,0.768879] area_under_roc_curve 0.695579304954305 [0.749399,0.667388] area_under_roc_curve 0.7402207858950032 [0.785104,0.715607] area_under_roc_curve 0.769765970904491 [0.745256,0.783207] area_under_roc_curve 0.679047692545146 [0.705523,0.664956] area_under_roc_curve 0.7565750887482636 [0.713832,0.779326] 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 0.612851031154015 [0.55814,0.641509] f_measure 0.5804385584020842 [0.591837,0.574468] f_measure 0.7149500907441017 [0.631579,0.758621] f_measure 0.7048584387025839 [0.658824,0.728972] f_measure 0.7833377518557795 [0.695652,0.829268] f_measure 0.610375816993464 [0.577778,0.627451] f_measure 0.6909722222222223 [0.583333,0.75] f_measure 0.6701449275362319 [0.652174,0.68] f_measure 0.6384860712209045 [0.597701,0.660194] f_measure 0.6600265369305617 [0.611765,0.685714] kappa 0.23329129886506927 kappa 0.24970691676436116 kappa 0.39703903095558557 kappa 0.4111675126903553 kappa 0.5254237288135594 kappa 0.25215252152521517 kappa 0.3345656192236599 kappa 0.37152209492635013 kappa 0.29270368006807057 kappa 0.3247900064613397 kb_relative_information_score -1.179792837726607 kb_relative_information_score -1.1984348070565247 kb_relative_information_score -1.1647616670229899 kb_relative_information_score -1.1846324710734353 kb_relative_information_score -1.1743677789246103 kb_relative_information_score -1.1760484268982057 kb_relative_information_score -1.1572373386246608 kb_relative_information_score -1.1697329202710673 kb_relative_information_score -1.2012417284731516 kb_relative_information_score -1.1880353985705536 mean_absolute_error 0.48864583333333317 mean_absolute_error 0.49229166666666685 mean_absolute_error 0.48286458333333343 mean_absolute_error 0.4900520833333331 mean_absolute_error 0.4823958333333334 mean_absolute_error 0.4893749999999999 mean_absolute_error 0.48213541666666676 mean_absolute_error 0.4878645833333335 mean_absolute_error 0.49231578947368415 mean_absolute_error 0.48805263157894724 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 0.6745557261956998 [0.45283,0.790698] precision 0.7249379652605459 [0.446154,0.870968] precision 0.7366717858709961 [0.55814,0.830189] precision 0.7667722902097903 [0.538462,0.886364] precision 0.7869791666666667 [0.666667,0.85] precision 0.6952597840755735 [0.45614,0.820513] precision 0.6968012704174229 [0.552632,0.775862] precision 0.7610405323653963 [0.517241,0.894737] precision 0.7084581372129511 [0.481481,0.829268] precision 0.7200734394124846 [0.5,0.837209] predictive_accuracy 0.6041666666666666 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.7083333333333333 predictive_accuracy 0.6979166666666667 predictive_accuracy 0.78125 predictive_accuracy 0.6041666666666666 predictive_accuracy 0.6875 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.631578947368421 predictive_accuracy 0.6526315789473683 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9283932104014351 prior_entropy 0.9379030360861306 prior_entropy 0.9379030360861306 prior_entropy 0.9316966235340134 prior_entropy 0.9316966235340134 relative_absolute_error 1.0807199424046057 relative_absolute_error 1.088783297336212 relative_absolute_error 1.0679337652987748 relative_absolute_error 1.0838300935925107 relative_absolute_error 1.0668970482361397 relative_absolute_error 1.0823326133909268 relative_absolute_error 1.0588504432370591 relative_absolute_error 1.071432656562767 relative_absolute_error 1.0861746135423453 relative_absolute_error 1.0767689962987135 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 0.6536388528843736 root_mean_squared_error 0.6612952883041987 root_mean_squared_error 0.6474352445096987 root_mean_squared_error 0.6555154619330753 root_mean_squared_error 0.6511392260236412 root_mean_squared_error 0.6526316916914164 root_mean_squared_error 0.6531785265147654 root_mean_squared_error 0.6583474418319454 root_mean_squared_error 0.665508906975074 root_mean_squared_error 0.6598026020592905 root_relative_squared_error 1.3761711447380152 root_relative_squared_error 1.3922910027449524 root_relative_squared_error 1.363110068578283 root_relative_squared_error 1.3801221571531759 root_relative_squared_error 1.3709084307130264 root_relative_squared_error 1.3740506677104773 root_relative_squared_error 1.3655806646357413 root_relative_squared_error 1.3763871601461555 root_relative_squared_error 1.397733678711274 root_relative_squared_error 1.3857490238431085 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 unweighted_recall 0.6334776334776335 [0.727273,0.539683] unweighted_recall 0.6536796536796536 [0.878788,0.428571] unweighted_recall 0.7128427128427128 [0.727273,0.698413] unweighted_recall 0.7337662337662338 [0.848485,0.619048] unweighted_recall 0.7683982683982684 [0.727273,0.809524] unweighted_recall 0.6479076479076479 [0.787879,0.507937] unweighted_recall 0.6717267552182163 [0.617647,0.725806] unweighted_recall 0.715370018975332 [0.882353,0.548387] unweighted_recall 0.6681329423264907 [0.787879,0.548387] unweighted_recall 0.6842619745845553 [0.787879,0.580645] wall_clock_time_millis 4282.355546951294 wall_clock_time_millis 561.6743564605713 wall_clock_time_millis 572.4842548370361 wall_clock_time_millis 552.2782802581787 wall_clock_time_millis 557.7363967895508 wall_clock_time_millis 556.9899082183838 wall_clock_time_millis 557.4395656585693 wall_clock_time_millis 551.3842105865479 wall_clock_time_millis 551.3262748718262 wall_clock_time_millis 557.4190616607666 wall_clock_time_millis_testing 8.764982223510742 wall_clock_time_millis_testing 5.984783172607422 wall_clock_time_millis_testing 7.500410079956055 wall_clock_time_millis_testing 4.987001419067383 wall_clock_time_millis_testing 4.986763000488281 wall_clock_time_millis_testing 8.930683135986328 wall_clock_time_millis_testing 4.987001419067383 wall_clock_time_millis_testing 4.991292953491211 wall_clock_time_millis_testing 5.9833526611328125 wall_clock_time_millis_testing 5.758523941040039 wall_clock_time_millis_training 4273.590564727783 wall_clock_time_millis_training 555.6895732879639 wall_clock_time_millis_training 564.9838447570801 wall_clock_time_millis_training 547.2912788391113 wall_clock_time_millis_training 552.7496337890625 wall_clock_time_millis_training 548.0592250823975 wall_clock_time_millis_training 552.452564239502 wall_clock_time_millis_training 546.3929176330566 wall_clock_time_millis_training 545.3429222106934 wall_clock_time_millis_training 551.6605377197266 weighted_recall 0.6041666666666666 [0.727273,0.539683] weighted_recall 0.5833333333333334 [0.878788,0.428571] weighted_recall 0.7083333333333334 [0.727273,0.698413] weighted_recall 0.6979166666666666 [0.848485,0.619048] weighted_recall 0.78125 [0.727273,0.809524] weighted_recall 0.6041666666666666 [0.787879,0.507937] weighted_recall 0.6875 [0.617647,0.725806] weighted_recall 0.6666666666666666 [0.882353,0.548387] weighted_recall 0.631578947368421 [0.787879,0.548387] weighted_recall 0.6526315789473685 [0.787879,0.580645]