10397950 8323 Heinrich Peters 49 Supervised Classification 16366 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,svc=sklearn.svm.classes.SVC)(2) 8235836 add_indicator false 16358 copy true 16358 fill_value null 16358 missing_values NaN 16358 strategy "most_frequent" 16358 verbose 0 16358 C 1.8292595271244954 16360 cache_size 200 16360 class_weight null 16360 coef0 -0.6708617540973103 16360 decision_function_shape "ovr" 16360 degree 4 16360 gamma 0.004202999500547671 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 1 16360 shrinking true 16360 tol 0.001 16360 verbose false 16360 categorical_features null 16365 categories null 16365 drop null 16365 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16365 handle_unknown "ignore" 16365 n_values null 16365 sparse true 16365 memory null 16366 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16366 verbose false 16366 openml-python Sklearn_0.21.2. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21717645 description https://api.openml.org/data/download/21717645/description.xml -1 21717646 predictions https://api.openml.org/data/download/21717646/predictions.arff area_under_roc_curve 0.596202702182532 [0.596203,0.596203] average_cost 0 f_measure 0.6507065558027135 [0.328358,0.821664] kappa 0.23617099186146792 kb_relative_information_score 0.3515062194867818 mean_absolute_error 0.2818371607515658 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.7844577801780307 [0.942857,0.70045] predictive_accuracy 0.7181628392484342 prior_entropy 0.9309543116818706 recall 0.7181628392484343 [0.198795,0.99361] relative_absolute_error 0.6221466941256072 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.5308833777314617 root_relative_squared_error 1.1155995493740645 total_cost 0 area_under_roc_curve 0.5829725829725829 [0.582973,0.582973] area_under_roc_curve 0.6738816738816739 [0.673882,0.673882] area_under_roc_curve 0.6060606060606061 [0.606061,0.606061] area_under_roc_curve 0.5678210678210678 [0.567821,0.567821] area_under_roc_curve 0.5757575757575758 [0.575758,0.575758] area_under_roc_curve 0.5757575757575758 [0.575758,0.575758] area_under_roc_curve 0.6095825426944972 [0.609583,0.609583] area_under_roc_curve 0.5735294117647058 [0.573529,0.573529] area_under_roc_curve 0.6363636363636364 [0.636364,0.636364] area_under_roc_curve 0.5606060606060606 [0.560606,0.560606] 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 0.6384868421052632 [0.3,0.815789] f_measure 0.7367108397855867 [0.521739,0.849315] f_measure 0.6643092105263156 [0.35,0.828947] f_measure 0.620003770739065 [0.25641,0.810458] f_measure 0.6273923444976076 [0.263158,0.818182] f_measure 0.6273923444976076 [0.263158,0.818182] f_measure 0.6605860777274856 [0.372093,0.818792] f_measure 0.6142324451147981 [0.25641,0.810458] f_measure 0.6956716114610851 [0.428571,0.837838] f_measure 0.604036854191653 [0.216216,0.810458] kappa 0.20426287744227373 kappa 0.40640809443507603 kappa 0.261101243339254 kappa 0.16845878136200707 kappa 0.189873417721519 kappa 0.189873417721519 kappa 0.2627986348122866 kappa 0.18213866039952975 kappa 0.3286219081272085 kappa 0.15256844047985255 kb_relative_information_score 0.32703764546227143 kb_relative_information_score 0.4712438642917844 kb_relative_information_score 0.3751063850721091 kb_relative_information_score 0.30300327565735263 kb_relative_information_score 0.32703764546227143 kb_relative_information_score 0.32703764546227143 kb_relative_information_score 0.35765179140533154 kb_relative_information_score 0.31007044262054145 kb_relative_information_score 0.4191699959693232 kb_relative_information_score 0.29816374512959926 mean_absolute_error 0.2916666666666667 mean_absolute_error 0.22916666666666666 mean_absolute_error 0.2708333333333333 mean_absolute_error 0.3020833333333333 mean_absolute_error 0.2916666666666667 mean_absolute_error 0.2916666666666667 mean_absolute_error 0.28125 mean_absolute_error 0.3020833333333333 mean_absolute_error 0.25263157894736843 mean_absolute_error 0.30526315789473685 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 0.7518057784911717 [0.857143,0.696629] precision 0.8075185356811864 [0.923077,0.746988] precision 0.8082865168539325 [1,0.707865] precision 0.7385416666666668 [0.833333,0.688889] precision 0.798076923076923 [1,0.692308] precision 0.798076923076923 [1,0.692308] precision 0.7676404853128992 [0.888889,0.701149] precision 0.7941849816849818 [1,0.681319] precision 0.8178702570379437 [1,0.72093] precision 0.7920185078079816 [1,0.681319] predictive_accuracy 0.7083333333333333 predictive_accuracy 0.7708333333333333 predictive_accuracy 0.7291666666666667 predictive_accuracy 0.6979166666666667 predictive_accuracy 0.7083333333333333 predictive_accuracy 0.7083333333333333 predictive_accuracy 0.71875 predictive_accuracy 0.6979166666666667 predictive_accuracy 0.7473684210526317 predictive_accuracy 0.6947368421052631 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 recall 0.7083333333333334 [0.181818,0.984127] recall 0.7708333333333334 [0.363636,0.984127] recall 0.7291666666666666 [0.212121,1] recall 0.6979166666666666 [0.151515,0.984127] recall 0.7083333333333334 [0.151515,1] recall 0.7083333333333334 [0.151515,1] recall 0.71875 [0.235294,0.983871] recall 0.6979166666666666 [0.147059,1] recall 0.7473684210526316 [0.272727,1] recall 0.6947368421052632 [0.121212,1] relative_absolute_error 0.6450683945284368 relative_absolute_error 0.5068394528437716 relative_absolute_error 0.5989920806335484 relative_absolute_error 0.6681065514758809 relative_absolute_error 0.6450683945284368 relative_absolute_error 0.6450683945284368 relative_absolute_error 0.6176722905347432 relative_absolute_error 0.6634257935373168 relative_absolute_error 0.5573699107337245 relative_absolute_error 0.6734886421365838 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 0.5400617248673217 root_mean_squared_error 0.47871355387816905 root_mean_squared_error 0.5204164998665332 root_mean_squared_error 0.5496210815947049 root_mean_squared_error 0.5400617248673217 root_mean_squared_error 0.5400617248673217 root_mean_squared_error 0.5303300858899106 root_mean_squared_error 0.5496210815947049 root_mean_squared_error 0.5026246899500346 root_mean_squared_error 0.5525062514530825 root_relative_squared_error 1.1370458761136737 root_relative_squared_error 1.0078834459350312 root_relative_squared_error 1.0956848222860587 root_relative_squared_error 1.157172144361698 root_relative_squared_error 1.1370458761136737 root_relative_squared_error 1.1370458761136737 root_relative_squared_error 1.1087451313350898 root_relative_squared_error 1.1490762348032357 root_relative_squared_error 1.0556364453305327 root_relative_squared_error 1.1604000897067142 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 usercpu_time_millis 135.77599999916856 usercpu_time_millis 127.8779999956896 usercpu_time_millis 120.38599999868893 usercpu_time_millis 151.89599999939674 usercpu_time_millis 144.82199999838485 usercpu_time_millis 141.69200000105775 usercpu_time_millis 122.38599999909638 usercpu_time_millis 144.15199999712058 usercpu_time_millis 138.84600000164937 usercpu_time_millis 123.83799999952316 usercpu_time_millis_testing 15.82599999892409 usercpu_time_millis_testing 19.917999998142477 usercpu_time_millis_testing 11.736000000382774 usercpu_time_millis_testing 15.845999998418847 usercpu_time_millis_testing 13.58799999798066 usercpu_time_millis_testing 10.731999998824904 usercpu_time_millis_testing 14.031999999133404 usercpu_time_millis_testing 20.037999998749 usercpu_time_millis_testing 17.781999998987885 usercpu_time_millis_testing 10.53200000023935 usercpu_time_millis_training 119.95000000024447 usercpu_time_millis_training 107.95999999754713 usercpu_time_millis_training 108.64999999830616 usercpu_time_millis_training 136.0500000009779 usercpu_time_millis_training 131.2340000004042 usercpu_time_millis_training 130.96000000223285 usercpu_time_millis_training 108.35399999996298 usercpu_time_millis_training 124.11399999837158 usercpu_time_millis_training 121.06400000266149 usercpu_time_millis_training 113.30599999928381 wall_clock_time_millis 81.98904991149902 wall_clock_time_millis 85.13593673706055 wall_clock_time_millis 73.55332374572754 wall_clock_time_millis 93.93978118896484 wall_clock_time_millis 88.07516098022461 wall_clock_time_millis 81.4216136932373 wall_clock_time_millis 71.75326347351074 wall_clock_time_millis 85.01577377319336 wall_clock_time_millis 86.38525009155273 wall_clock_time_millis 75.67501068115234 wall_clock_time_millis_testing 13.180971145629883 wall_clock_time_millis_testing 12.566804885864258 wall_clock_time_millis_testing 8.370161056518555 wall_clock_time_millis_testing 8.383989334106445 wall_clock_time_millis_testing 6.916999816894531 wall_clock_time_millis_testing 5.443811416625977 wall_clock_time_millis_testing 7.314205169677734 wall_clock_time_millis_testing 12.430906295776367 wall_clock_time_millis_testing 14.29128646850586 wall_clock_time_millis_testing 5.417108535766602 wall_clock_time_millis_training 68.80807876586914 wall_clock_time_millis_training 72.56913185119629 wall_clock_time_millis_training 65.18316268920898 wall_clock_time_millis_training 85.5557918548584 wall_clock_time_millis_training 81.15816116333008 wall_clock_time_millis_training 75.97780227661133 wall_clock_time_millis_training 64.43905830383301 wall_clock_time_millis_training 72.58486747741699 wall_clock_time_millis_training 72.09396362304688 wall_clock_time_millis_training 70.25790214538574