10437888 10792 George Volkov 145804 Supervised Classification 17481 sklearn.neighbors._classification.KNeighborsClassifier(2) 8260932 algorithm "auto" 17481 leaf_size 30 17481 metric "minkowski" 17481 metric_params null 17481 n_jobs null 17481 n_neighbors 144 17481 p 2 17481 weights "uniform" 17481 openml-python Sklearn_0.22.1. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21800179 description https://api.openml.org/data/download/21800179/description.xml -1 21800180 predictions https://api.openml.org/data/download/21800180/predictions.arff area_under_roc_curve 0.7381923861580508 [0.738192,0.738192] average_cost 0 f_measure 0.6342669452308438 [0.290076,0.816809] kappa 0.2044941813744457 kb_relative_information_score 0.06450660049116824 mean_absolute_error 0.4298379146369756 mean_prior_absolute_error 0.45300756784968915 weighted_recall 0.708768267223382 [0.171687,0.99361] number_of_instances 958 [332,626] precision 0.7769436382146694 [0.934426,0.693423] predictive_accuracy 0.708768267223382 prior_entropy 0.9309543116818706 relative_absolute_error 0.9488537171184713 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.4505258352548079 root_relative_squared_error 0.9467360250368823 total_cost 0 unweighted_recall 0.5826484853150622 [0.171687,0.99361] area_under_roc_curve 0.7097162097162096 [0.709716,0.709716] area_under_roc_curve 0.7104377104377105 [0.710438,0.710438] area_under_roc_curve 0.7869167869167869 [0.786917,0.786917] area_under_roc_curve 0.7085137085137085 [0.708514,0.708514] area_under_roc_curve 0.7436267436267436 [0.743627,0.743627] area_under_roc_curve 0.7604617604617605 [0.760462,0.760462] area_under_roc_curve 0.7381404174573055 [0.73814,0.73814] area_under_roc_curve 0.7796489563567363 [0.779649,0.779649] area_under_roc_curve 0.6747311827956989 [0.674731,0.674731] area_under_roc_curve 0.7504887585532747 [0.750489,0.750489] 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 0.646210407239819 [0.307692,0.823529] f_measure 0.646210407239819 [0.307692,0.823529] f_measure 0.6273923444976076 [0.263158,0.818182] f_measure 0.6126644736842105 [0.25,0.802632] f_measure 0.6077920662598082 [0.216216,0.812903] f_measure 0.6643092105263156 [0.35,0.828947] f_measure 0.5876277861571979 [0.205128,0.797386] f_measure 0.6688095238095237 [0.380952,0.826667] f_measure 0.6786880443866254 [0.390244,0.832215] f_measure 0.5969529085872576 [0.210526,0.802632] kappa 0.22580645161290322 kappa 0.22580645161290322 kappa 0.189873417721519 kappa 0.14742451154529315 kappa 0.1532846715328467 kappa 0.261101243339254 kappa 0.12573443008225615 kappa 0.28440366972477055 kappa 0.29462429462429446 kappa 0.13109756097560968 kb_relative_information_score 0.05360902475931046 kb_relative_information_score 0.04139838347621128 kb_relative_information_score 0.07586782874937245 kb_relative_information_score 0.0612777929249061 kb_relative_information_score 0.06644347756886827 kb_relative_information_score 0.06572218034813757 kb_relative_information_score 0.07003492134323007 kb_relative_information_score 0.09012892122682882 kb_relative_information_score 0.04981036147733334 kb_relative_information_score 0.07039328060272633 mean_absolute_error 0.43287037037037046 mean_absolute_error 0.43612557870370355 mean_absolute_error 0.42447916666666674 mean_absolute_error 0.43113425925925913 mean_absolute_error 0.4280960648148147 mean_absolute_error 0.42867476851851877 mean_absolute_error 0.42918113425925924 mean_absolute_error 0.42353877314814836 mean_absolute_error 0.4362573099415204 mean_absolute_error 0.42807017543859655 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 0.803125 [1,0.7] precision 0.803125 [1,0.7] precision 0.798076923076923 [1,0.692308] precision 0.6953250401284109 [0.714286,0.685393] precision 0.7931385869565218 [1,0.684783] precision 0.8082865168539325 [1,0.707865] precision 0.7162545787545787 [0.8,0.67033] precision 0.8091856060606061 [1,0.704545] precision 0.8124621899576527 [1,0.712644] precision 0.7202339181286551 [0.8,0.677778] predictive_accuracy 0.71875 predictive_accuracy 0.71875 predictive_accuracy 0.7083333333333333 predictive_accuracy 0.6875 predictive_accuracy 0.6979166666666667 predictive_accuracy 0.7291666666666667 predictive_accuracy 0.6770833333333333 predictive_accuracy 0.7291666666666667 predictive_accuracy 0.736842105263158 predictive_accuracy 0.6842105263157895 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 0.9573634109271246 relative_absolute_error 0.9645628349732003 relative_absolute_error 0.93880489560835 relative_absolute_error 0.9535237181025502 relative_absolute_error 0.9468042556595456 relative_absolute_error 0.9480841532677377 relative_absolute_error 0.9425539351189894 relative_absolute_error 0.9301623613891263 relative_absolute_error 0.9624952625170334 relative_absolute_error 0.9444323487432555 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 0.4543174231610035 root_mean_squared_error 0.4554422046268893 root_mean_squared_error 0.4441968440082075 root_mean_squared_error 0.4524848696115332 root_mean_squared_error 0.44862714611292076 root_mean_squared_error 0.44761375416386234 root_mean_squared_error 0.4520533526427443 root_mean_squared_error 0.44426412809914023 root_mean_squared_error 0.4563509316737573 root_mean_squared_error 0.4497716191821161 root_relative_squared_error 0.9565198359108287 root_relative_squared_error 0.9588879506436934 root_relative_squared_error 0.935211970050874 root_relative_squared_error 0.9526615779372711 root_relative_squared_error 0.9445395274506129 root_relative_squared_error 0.9424059321900957 root_relative_squared_error 0.9450943236706959 root_relative_squared_error 0.9288096266124387 root_relative_squared_error 0.9584500820746615 root_relative_squared_error 0.9446318948859556 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 0.5909090909090909 [0.181818,1] unweighted_recall 0.5909090909090909 [0.181818,1] unweighted_recall 0.5757575757575758 [0.151515,1] unweighted_recall 0.5598845598845599 [0.151515,0.968254] unweighted_recall 0.5606060606060606 [0.121212,1] unweighted_recall 0.6060606060606061 [0.212121,1] unweighted_recall 0.5507590132827325 [0.117647,0.983871] unweighted_recall 0.6176470588235294 [0.235294,1] unweighted_recall 0.6212121212121212 [0.242424,1] unweighted_recall 0.5525415444770283 [0.121212,0.983871] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 9.001731872558594 wall_clock_time_millis 9.001731872558594 wall_clock_time_millis 9.001970291137695 wall_clock_time_millis 9.002208709716797 wall_clock_time_millis 8.001565933227539 wall_clock_time_millis 9.001970291137695 wall_clock_time_millis 9.002208709716797 wall_clock_time_millis 9.001731872558594 wall_clock_time_millis 9.001970291137695 wall_clock_time_millis 9.001970291137695 wall_clock_time_millis_testing 7.001399993896484 wall_clock_time_millis_testing 7.001399993896484 wall_clock_time_millis_testing 8.00180435180664 wall_clock_time_millis_testing 7.001638412475586 wall_clock_time_millis_testing 7.001638412475586 wall_clock_time_millis_testing 7.001638412475586 wall_clock_time_millis_testing 7.001638412475586 wall_clock_time_millis_testing 7.001638412475586 wall_clock_time_millis_testing 7.001399993896484 wall_clock_time_millis_testing 7.001399993896484 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 1.0001659393310547 wall_clock_time_millis_training 2.000570297241211 wall_clock_time_millis_training 0.9999275207519531 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 2.000570297241211 wall_clock_time_millis_training 2.000093460083008 wall_clock_time_millis_training 2.000570297241211 wall_clock_time_millis_training 2.000570297241211 weighted_recall 0.71875 [0.181818,1] weighted_recall 0.71875 [0.181818,1] weighted_recall 0.7083333333333334 [0.151515,1] weighted_recall 0.6875 [0.151515,0.968254] weighted_recall 0.6979166666666666 [0.121212,1] weighted_recall 0.7291666666666666 [0.212121,1] weighted_recall 0.6770833333333334 [0.117647,0.983871] weighted_recall 0.7291666666666666 [0.235294,1] weighted_recall 0.7368421052631579 [0.242424,1] weighted_recall 0.6842105263157895 [0.121212,0.983871]