1665310 1 Jan van Rijn 3022 Supervised Classification 2255 weka.HyperPipes(2) 2891 weka.classifiers.misc.HyperPipes weka weka_3.7.13 307 vowel https://www.openml.org/data/download/52210/phpd8EoD9 -1 4227814 description https://api.openml.org/data/download/4227814/weka_generated_run2453693610868563780.xml -1 4227817 model_readable https://api.openml.org/data/download/4227817/WekaModel_weka.classifiers.misc.HyperPipes6380760886494183069.model -1 4227816 model_serialized https://api.openml.org/data/download/4227816/WekaSerialized_weka.classifiers.misc.HyperPipes7677932134400774014.model -1 4227815 predictions https://api.openml.org/data/download/4227815/weka_generated_predictions2677017594807156464.arff area_under_roc_curve 0.8963 [0.98313,0.904438,0.909506,0.949265,0.883043,0.814642,0.89392,0.973099,0.803302,0.912327,0.83263] average_cost 0 f_measure 0.323223 [0.400901,0.181818,0.09009,0.330579,0.541985,0.251969,0.449198,0.607735,0.122807,0.556391,0.021978] kappa 0.302222 kb_relative_information_score 50.290394 mean_absolute_error 0.163105 mean_prior_absolute_error 0.165289 number_of_instances 990 [90,90,90,90,90,90,90,90,90,90,90] precision 0.484461 [0.251412,0.159664,0.238095,0.645161,0.412791,0.432432,0.43299,0.604396,0.291667,0.860465,1] predictive_accuracy 0.365657 prior_entropy 3.459432 recall 0.365657 [0.988889,0.211111,0.055556,0.222222,0.788889,0.177778,0.466667,0.611111,0.077778,0.411111,0.011111] relative_absolute_error 0.986784 root_mean_prior_squared_error 0.28748 root_mean_squared_error 0.283818 root_relative_squared_error 0.987263 total_cost 0 area_under_roc_curve 0.909708 [0.962346,0.912963,0.90679,0.917284,0.935802,0.829012,0.937654,0.933951,0.945062,0.87037,0.855556] area_under_roc_curve 0.862738 [0.977778,0.877778,0.940741,0.967284,0.824691,0.827778,0.782716,0.958025,0.735802,0.820988,0.776543] area_under_roc_curve 0.91532 [0.988889,0.945062,0.87716,0.966667,0.864198,0.883333,0.935185,0.971605,0.829012,0.882716,0.924691] area_under_roc_curve 0.90174 [0.987654,0.888272,0.882716,0.960494,0.890741,0.799383,0.930247,0.992593,0.767284,0.989506,0.830247] area_under_roc_curve 0.903311 [0.996296,0.945062,0.948148,0.97963,0.930864,0.828395,0.890123,0.981481,0.740741,0.896914,0.798765] area_under_roc_curve 0.911279 [0.981481,0.953704,0.887654,0.933951,0.816049,0.811111,0.922222,0.991358,0.869753,0.966667,0.890123] area_under_roc_curve 0.89826 [0.983333,0.891975,0.94321,0.945679,0.880864,0.819753,0.923457,0.967284,0.758642,0.933951,0.832716] area_under_roc_curve 0.892929 [0.978395,0.869753,0.874074,0.924074,0.830247,0.874074,0.898765,0.977778,0.808642,0.954321,0.832099] area_under_roc_curve 0.901852 [0.988272,0.917284,0.940741,0.955556,0.954938,0.764815,0.88642,0.974691,0.782099,0.935185,0.82037] area_under_roc_curve 0.867901 [0.998148,0.838272,0.887037,0.962963,0.896296,0.738272,0.846914,0.973457,0.787654,0.850617,0.767284] 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 0.361716 [0.4,0.086957,0.166667,0.2,0.666667,0.2,0.636364,0.555556,0.533333,0.533333,0] f_measure 0.268828 [0.375,0.272727,0,0.461538,0.48,0.153846,0.428571,0.631579,0.153846,0,0] f_measure 0.27167 [0.409091,0.190476,0,0.4,0.444444,0.428571,0.315789,0.6,0,0.2,0] f_measure 0.335647 [0.486486,0.181818,0.285714,0,0.571429,0.285714,0.5,0.666667,0,0.714286,0] f_measure 0.277069 [0.382979,0.1,0,0.5,0.533333,0.181818,0.421053,0.428571,0,0.5,0] f_measure 0.366054 [0.428571,0.5,0,0.461538,0.451613,0.166667,0.470588,0.666667,0.166667,0.714286,0] f_measure 0.369272 [0.428571,0.166667,0,0.307692,0.666667,0.285714,0.555556,0.736842,0,0.714286,0.2] f_measure 0.329009 [0.36,0.285714,0.181818,0,0.4,0.625,0.352941,0.631579,0.166667,0.615385,0] f_measure 0.285133 [0.382979,0,0,0.5,0.571429,0,0.4,0.666667,0,0.615385,0] f_measure 0.269101 [0.382979,0,0.181818,0.307692,0.64,0,0.380952,0.4,0,0.666667,0] kappa 0.344444 kappa 0.255556 kappa 0.266667 kappa 0.333333 kappa 0.266667 kappa 0.355556 kappa 0.355556 kappa 0.3 kappa 0.288889 kappa 0.255556 kb_relative_information_score 5.091138 kb_relative_information_score 4.628612 kb_relative_information_score 5.164804 kb_relative_information_score 5.052391 kb_relative_information_score 5.162524 kb_relative_information_score 5.365826 kb_relative_information_score 5.026779 kb_relative_information_score 4.914351 kb_relative_information_score 5.439002 kb_relative_information_score 4.444966 mean_absolute_error 0.163081 mean_absolute_error 0.163293 mean_absolute_error 0.163038 mean_absolute_error 0.163093 mean_absolute_error 0.163035 mean_absolute_error 0.162941 mean_absolute_error 0.163127 mean_absolute_error 0.163168 mean_absolute_error 0.162901 mean_absolute_error 0.16337 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 mean_prior_absolute_error 0.165289 number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] number_of_instances 99 [9,9,9,9,9,9,9,9,9,9,9] precision 0.511228 [0.258065,0.071429,0.333333,1,0.533333,1,0.538462,0.555556,0.666667,0.666667,0] precision 0.298776 [0.230769,0.230769,0,0.75,0.375,0.25,0.6,0.6,0.25,0,0] precision 0.3366 [0.257143,0.166667,0,0.5,0.333333,0.6,0.3,0.545455,0,1,0] precision 0.347049 [0.321429,0.153846,0.4,0,0.421053,0.4,0.454545,0.666667,0,1,0] precision 0.343648 [0.236842,0.090909,0,1,0.380952,0.5,0.4,0.6,0,0.571429,0] precision 0.420799 [0.272727,0.454545,0,0.75,0.318182,0.333333,0.5,0.666667,0.333333,1,0] precision 0.463177 [0.272727,0.133333,0,0.5,0.533333,0.4,0.555556,0.7,0,1,1] precision 0.395979 [0.219512,0.25,0.5,0,0.363636,0.714286,0.375,0.6,0.333333,1,0] precision 0.327715 [0.236842,0,0,1,0.421053,0,0.363636,0.583333,0,1,0] precision 0.30941 [0.236842,0,0.5,0.5,0.5,0,0.333333,0.5,0,0.833333,0] predictive_accuracy 0.40404 predictive_accuracy 0.323232 predictive_accuracy 0.333333 predictive_accuracy 0.393939 predictive_accuracy 0.333333 predictive_accuracy 0.414141 predictive_accuracy 0.414141 predictive_accuracy 0.363636 predictive_accuracy 0.353535 predictive_accuracy 0.323232 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 prior_entropy 3.459432 recall 0.40404 [0.888889,0.111111,0.111111,0.111111,0.888889,0.111111,0.777778,0.555556,0.444444,0.444444,0] recall 0.323232 [1,0.333333,0,0.333333,0.666667,0.111111,0.333333,0.666667,0.111111,0,0] recall 0.333333 [1,0.222222,0,0.333333,0.666667,0.333333,0.333333,0.666667,0,0.111111,0] recall 0.393939 [1,0.222222,0.222222,0,0.888889,0.222222,0.555556,0.666667,0,0.555556,0] recall 0.333333 [1,0.111111,0,0.333333,0.888889,0.111111,0.444444,0.333333,0,0.444444,0] recall 0.414141 [1,0.555556,0,0.333333,0.777778,0.111111,0.444444,0.666667,0.111111,0.555556,0] recall 0.414141 [1,0.222222,0,0.222222,0.888889,0.222222,0.555556,0.777778,0,0.555556,0.111111] recall 0.363636 [1,0.333333,0.111111,0,0.444444,0.555556,0.333333,0.666667,0.111111,0.444444,0] recall 0.353535 [1,0,0,0.333333,0.888889,0,0.444444,0.777778,0,0.444444,0] recall 0.323232 [1,0,0.111111,0.222222,0.888889,0,0.444444,0.333333,0,0.555556,0] relative_absolute_error 0.986641 relative_absolute_error 0.987924 relative_absolute_error 0.986377 relative_absolute_error 0.986715 relative_absolute_error 0.986361 relative_absolute_error 0.985793 relative_absolute_error 0.986919 relative_absolute_error 0.987167 relative_absolute_error 0.985552 relative_absolute_error 0.988388 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_prior_squared_error 0.28748 root_mean_squared_error 0.28377 root_mean_squared_error 0.284146 root_mean_squared_error 0.283701 root_mean_squared_error 0.283792 root_mean_squared_error 0.283698 root_mean_squared_error 0.283527 root_mean_squared_error 0.283858 root_mean_squared_error 0.283933 root_mean_squared_error 0.283485 root_mean_squared_error 0.28427 root_relative_squared_error 0.987097 root_relative_squared_error 0.988403 root_relative_squared_error 0.986855 root_relative_squared_error 0.987172 root_relative_squared_error 0.986844 root_relative_squared_error 0.98625 root_relative_squared_error 0.987402 root_relative_squared_error 0.987663 root_relative_squared_error 0.986103 root_relative_squared_error 0.988836 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