10437880 10792 George Volkov 145804 Supervised Classification 17481 sklearn.neighbors._classification.KNeighborsClassifier(2) 8260924 algorithm "auto" 17481 leaf_size 30 17481 metric "minkowski" 17481 metric_params null 17481 n_jobs null 17481 n_neighbors 10 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 21800163 description https://api.openml.org/data/download/21800163/description.xml -1 21800164 predictions https://api.openml.org/data/download/21800164/predictions.arff area_under_roc_curve 0.8818589052696408 [0.881859,0.881859] average_cost 0 f_measure 0.8321517982688876 [0.729204,0.886751] kappa 0.620822748462068 kb_relative_information_score 0.458475914868832 mean_absolute_error 0.2566805845511468 mean_prior_absolute_error 0.45300756784968915 weighted_recall 0.8402922755741128 [0.620482,0.956869] number_of_instances 958 [332,626] precision 0.8462770503518658 [0.88412,0.826207] predictive_accuracy 0.8402922755741128 prior_entropy 0.9309543116818706 relative_absolute_error 0.5666143410573553 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.3579254771340387 root_relative_squared_error 0.752145419784099 total_cost 0 unweighted_recall 0.788675468647754 [0.620482,0.956869] area_under_roc_curve 0.9112554112554112 [0.911255,0.911255] area_under_roc_curve 0.8869648869648868 [0.886965,0.886965] area_under_roc_curve 0.9100529100529101 [0.910053,0.910053] area_under_roc_curve 0.8405483405483407 [0.840548,0.840548] area_under_roc_curve 0.8771043771043772 [0.877104,0.877104] area_under_roc_curve 0.9016354016354017 [0.901635,0.901635] area_under_roc_curve 0.8847248576850095 [0.884725,0.884725] area_under_roc_curve 0.8806925996204935 [0.880693,0.880693] area_under_roc_curve 0.8299120234604106 [0.829912,0.829912] area_under_roc_curve 0.9015151515151515 [0.901515,0.901515] 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 0.8465073529411765 [0.75,0.897059] f_measure 0.8917588780236748 [0.827586,0.925373] f_measure 0.8192307692307693 [0.692308,0.885714] f_measure 0.7607165206508135 [0.588235,0.851064] f_measure 0.8170718108831401 [0.711864,0.87218] f_measure 0.838592774308653 [0.745763,0.887218] f_measure 0.8228291316526611 [0.714286,0.882353] f_measure 0.8405777039497968 [0.761905,0.883721] f_measure 0.8327485380116959 [0.727273,0.888889] f_measure 0.8449725058915946 [0.75,0.895522] kappa 0.6516329704510108 kappa 0.7549770290964779 kappa 0.5890850722311398 kappa 0.4563106796116505 kappa 0.586626139817629 kappa 0.6352583586626139 kappa 0.6041237113402063 kappa 0.6467124631992149 kappa 0.6223164590511527 kappa 0.6501841136244082 kb_relative_information_score 0.4789385275038033 kb_relative_information_score 0.5271999189349282 kb_relative_information_score 0.4505555421076562 kb_relative_information_score 0.4103877684854554 kb_relative_information_score 0.43582069397486456 kb_relative_information_score 0.47022912161423386 kb_relative_information_score 0.42951437875296766 kb_relative_information_score 0.4663488648468285 kb_relative_information_score 0.4049727837076902 kb_relative_information_score 0.5110008204462241 mean_absolute_error 0.2479166666666666 mean_absolute_error 0.23229166666666665 mean_absolute_error 0.2614583333333333 mean_absolute_error 0.2687499999999999 mean_absolute_error 0.26666666666666666 mean_absolute_error 0.2479166666666666 mean_absolute_error 0.2718749999999999 mean_absolute_error 0.25416666666666665 mean_absolute_error 0.2821052631578946 mean_absolute_error 0.23368421052631574 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 0.8622319833234068 [0.913043,0.835616] precision 0.9030633802816901 [0.96,0.873239] precision 0.854066985645933 [0.947368,0.805195] precision 0.7912660256410257 [0.833333,0.769231] precision 0.8213942307692307 [0.807692,0.828571] precision 0.8439903846153847 [0.846154,0.842857] precision 0.8456183456183456 [0.909091,0.810811] precision 0.8425437467833247 [0.827586,0.850746] precision 0.8521989906272531 [0.909091,0.821918] precision 0.8610221205186881 [0.913043,0.833333] predictive_accuracy 0.8541666666666667 predictive_accuracy 0.8958333333333333 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.78125 predictive_accuracy 0.8229166666666667 predictive_accuracy 0.84375 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.84375 predictive_accuracy 0.8421052631578948 predictive_accuracy 0.8526315789473684 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 0.5483081353491711 relative_absolute_error 0.5137508999280049 relative_absolute_error 0.5782577393808486 relative_absolute_error 0.5943844492440593 relative_absolute_error 0.5897768178545708 relative_absolute_error 0.5483081353491711 relative_absolute_error 0.5970832141835849 relative_absolute_error 0.5581927366313975 relative_absolute_error 0.6223964003193253 relative_absolute_error 0.515567167428695 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 0.3427827300200522 root_mean_squared_error 0.3292984968079873 root_mean_squared_error 0.3489567786035017 root_mean_squared_error 0.389978631893253 root_mean_squared_error 0.3605551275463989 root_mean_squared_error 0.35148494514938566 root_mean_squared_error 0.36897944838884095 root_mean_squared_error 0.3573630273731928 root_mean_squared_error 0.3866182667833043 root_mean_squared_error 0.33841736921953885 root_relative_squared_error 0.7216947093742669 root_relative_squared_error 0.6933050067525893 root_relative_squared_error 0.7346935503539 root_relative_squared_error 0.8210609542374301 root_relative_squared_error 0.7591127125126118 root_relative_squared_error 0.7400163518278098 root_relative_squared_error 0.7714142151248023 root_relative_squared_error 0.7471281137186827 root_relative_squared_error 0.8119941996632727 root_relative_squared_error 0.7107603661820471 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 0.8023088023088023 [0.636364,0.968254] unweighted_recall 0.8556998556998556 [0.727273,0.984127] unweighted_recall 0.7647907647907648 [0.545455,0.984127] unweighted_recall 0.7034632034632035 [0.454545,0.952381] unweighted_recall 0.7784992784992785 [0.636364,0.920635] unweighted_recall 0.8015873015873016 [0.666667,0.936508] unweighted_recall 0.7779886148007591 [0.588235,0.967742] unweighted_recall 0.812618595825427 [0.705882,0.919355] unweighted_recall 0.7869012707722385 [0.606061,0.967742] unweighted_recall 0.8020527859237536 [0.636364,0.967742] usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 15.625 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 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_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 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 7.001638412475586 wall_clock_time_millis 7.01141357421875 wall_clock_time_millis 7.001638412475586 wall_clock_time_millis 7.001399993896484 wall_clock_time_millis 7.001638412475586 wall_clock_time_millis 7.01141357421875 wall_clock_time_millis 6.001710891723633 wall_clock_time_millis 6.00123405456543 wall_clock_time_millis 6.00123405456543 wall_clock_time_millis 7.001399993896484 wall_clock_time_millis_testing 5.001306533813477 wall_clock_time_millis_testing 5.001068115234375 wall_clock_time_millis_testing 5.001306533813477 wall_clock_time_millis_testing 5.001306533813477 wall_clock_time_millis_testing 5.000591278076172 wall_clock_time_millis_testing 5.010843276977539 wall_clock_time_millis_testing 3.9911270141601562 wall_clock_time_millis_testing 5.001068115234375 wall_clock_time_millis_testing 4.00090217590332 wall_clock_time_millis_testing 5.000829696655273 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 2.010345458984375 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 2.000093460083008 wall_clock_time_millis_training 2.001047134399414 wall_clock_time_millis_training 2.000570297241211 wall_clock_time_millis_training 2.0105838775634766 wall_clock_time_millis_training 1.0001659393310547 wall_clock_time_millis_training 2.0003318786621094 wall_clock_time_millis_training 2.000570297241211 weighted_recall 0.8541666666666666 [0.636364,0.968254] weighted_recall 0.8958333333333334 [0.727273,0.984127] weighted_recall 0.8333333333333334 [0.545455,0.984127] weighted_recall 0.78125 [0.454545,0.952381] weighted_recall 0.8229166666666666 [0.636364,0.920635] weighted_recall 0.84375 [0.666667,0.936508] weighted_recall 0.8333333333333334 [0.588235,0.967742] weighted_recall 0.84375 [0.705882,0.919355] weighted_recall 0.8421052631578947 [0.606061,0.967742] weighted_recall 0.8526315789473684 [0.636364,0.967742]