Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7567, kappa: 0.7378, kb_relative_information_score: 744.6196, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7589, predictive_accuracy: 0.7616, prior_entropy: 3.4594, recall: 0.7616, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.7242, usercpu_time_millis: 21.319, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 20.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.5038, kappa: 0.4622, kb_relative_information_score: 486.7622, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5158, predictive_accuracy: 0.5111, prior_entropy: 3.4594, recall: 0.5111, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2981, root_relative_squared_error: 1.0371, usercpu_time_millis: 7.03, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 6.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.807, kappa: 0.7878, kb_relative_information_score: 791.4082, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8081, predictive_accuracy: 0.8071, prior_entropy: 3.4594, recall: 0.8071, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6515, usercpu_time_millis: 3.396, usercpu_time_millis_testing: 1.062, usercpu_time_millis_training: 2.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333, usercpu_time_millis: 2.873, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 2.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.6676, kappa: 0.6322, kb_relative_information_score: 645.8436, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6762, predictive_accuracy: 0.6657, prior_entropy: 3.4594, recall: 0.6657, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.8576, usercpu_time_millis: 5.653, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 4.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.662, kappa: 0.63, kb_relative_information_score: 643.7641, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6658, predictive_accuracy: 0.6636, prior_entropy: 3.4594, recall: 0.6636, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.8602, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9798, kappa: 0.9778, kb_relative_information_score: 969.2051, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.2108, usercpu_time_millis: 0.258, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9443, kappa: 0.9389, kb_relative_information_score: 932.8139, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.946, predictive_accuracy: 0.9444, prior_entropy: 3.4594, recall: 0.9444, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.3496, usercpu_time_millis: 3.206, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 2.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8368, kappa: 0.8211, kb_relative_information_score: 822.6007, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8365, predictive_accuracy: 0.8374, prior_entropy: 3.4594, recall: 0.8374, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5981, usercpu_time_millis: 5.239, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 5.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.6221, kappa: 0.5856, kb_relative_information_score: 602.1742, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6262, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.9104, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.6217, kappa: 0.5933, kb_relative_information_score: 609.4524, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6295, predictive_accuracy: 0.6303, prior_entropy: 3.4594, recall: 0.6303, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.9019, usercpu_time_millis: 4.376, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 4.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.3265, kappa: 0.2667, kb_relative_information_score: 303.7667, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3311, predictive_accuracy: 0.3333, prior_entropy: 3.4594, recall: 0.3333, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.2111, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7625, kappa: 0.74, kb_relative_information_score: 746.6991, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7641, predictive_accuracy: 0.7636, prior_entropy: 3.4594, recall: 0.7636, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.7211, usercpu_time_millis: 3.518, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 2.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9646, kappa: 0.9611, kb_relative_information_score: 953.6088, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9651, predictive_accuracy: 0.9646, prior_entropy: 3.4594, recall: 0.9646, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.2789, usercpu_time_millis: 19.98, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 19.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6158, kappa: 0.5867, kb_relative_information_score: 603.214, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6215, predictive_accuracy: 0.6242, prior_entropy: 3.4594, recall: 0.6242, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.9092, usercpu_time_millis: 122.083, usercpu_time_millis_testing: 0.985, usercpu_time_millis_training: 121.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9738, kappa: 0.9711, kb_relative_information_score: 962.9666, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9742, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2404, usercpu_time_millis: 67.573, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 67.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.582, kappa: 0.5422, kb_relative_information_score: 561.6241, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5878, predictive_accuracy: 0.5838, prior_entropy: 3.4594, recall: 0.5838, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.9568, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9151, kappa: 0.9067, kb_relative_information_score: 902.6612, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9186, predictive_accuracy: 0.9152, prior_entropy: 3.4594, recall: 0.9152, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.432, usercpu_time_millis: 3.181, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 3.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.985, kappa: 0.9833, kb_relative_information_score: 974.4038, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9854, predictive_accuracy: 0.9848, prior_entropy: 3.4594, recall: 0.9848, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1826, usercpu_time_millis: 86.217, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 85.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.7066, kappa: 0.6778, kb_relative_information_score: 688.4732, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7089, predictive_accuracy: 0.7071, prior_entropy: 3.4594, recall: 0.7071, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.8028, usercpu_time_millis: 38.781, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 38.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9525, kappa: 0.9478, kb_relative_information_score: 941.1319, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9536, predictive_accuracy: 0.9525, prior_entropy: 3.4594, recall: 0.9525, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.3232, usercpu_time_millis: 404.288, usercpu_time_millis_testing: 6.918, usercpu_time_millis_training: 397.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9614, kappa: 0.9578, kb_relative_information_score: 950.4896, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9623, predictive_accuracy: 0.9616, prior_entropy: 3.4594, recall: 0.9616, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.2906, usercpu_time_millis: 305.788, usercpu_time_millis_testing: 13.365, usercpu_time_millis_training: 292.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.6892, kappa: 0.6578, kb_relative_information_score: 669.7578, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6917, predictive_accuracy: 0.6889, prior_entropy: 3.4594, recall: 0.6889, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4628, f_measure: 0.0224, kappa: -0.0744, kb_relative_information_score: -15.4358, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0216, predictive_accuracy: 0.0232, prior_entropy: 3.4594, recall: 0.0232, relative_absolute_error: 1.0744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9373, kappa: 0.9311, kb_relative_information_score: 925.5357, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.938, predictive_accuracy: 0.9374, prior_entropy: 3.4594, recall: 0.9374, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.5033, kappa: 0.4633, kb_relative_information_score: 487.802, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5149, predictive_accuracy: 0.5121, prior_entropy: 3.4594, recall: 0.5121, relative_absolute_error: 0.5367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2978, root_relative_squared_error: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8747, kappa: 0.8622, kb_relative_information_score: 861.0713, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8763, predictive_accuracy: 0.8747, prior_entropy: 3.4594, recall: 0.8747, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1509, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4561, f_measure: 0.0117, kappa: -0.0878, kb_relative_information_score: -27.9127, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0123, predictive_accuracy: 0.0111, prior_entropy: 3.4594, recall: 0.0111, relative_absolute_error: 1.0878, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.424, root_relative_squared_error: 1.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.2176, kappa: 0.27, kb_relative_information_score: 306.8859, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3364, prior_entropy: 3.4594, recall: 0.3364, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.2083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9434, kappa: 0.9378, kb_relative_information_score: 931.7741, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9446, predictive_accuracy: 0.9434, prior_entropy: 3.4594, recall: 0.9434, relative_absolute_error: 0.0622, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.3528,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.807, kappa: 0.7878, kb_relative_information_score: 797.8786, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8081, predictive_accuracy: 0.8071, prior_entropy: 3.4594, recall: 0.8071, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.6084, scimark_benchmark: 1251.5228, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 977.1204, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1331, scimark_benchmark: 1053.0123, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.6579, kappa: 0.6289, kb_relative_information_score: 715.1915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6623, predictive_accuracy: 0.6626, prior_entropy: 3.4594, recall: 0.6626, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.703, scimark_benchmark: 1055.4536, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 856.6166, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.3668, scimark_benchmark: 1136.4539, usercpu_time_millis: 610, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.0394, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6309, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.7364, scimark_benchmark: 1206.2013, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.684, kappa: 0.65, kb_relative_information_score: 648.9681, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6966, predictive_accuracy: 0.6818, prior_entropy: 3.4594, recall: 0.6818, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.7665, scimark_benchmark: 1120.0392, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.2366, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6311, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7362, scimark_benchmark: 1295.6821, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8109, kappa: 0.7922, kb_relative_information_score: 798.5053, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.812, predictive_accuracy: 0.8111, prior_entropy: 3.4594, recall: 0.8111, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.6229, scimark_benchmark: 1164.9666, usercpu_time_millis: 837520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 837490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.7029, kappa: 0.6744, kb_relative_information_score: 261.0017, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7054, predictive_accuracy: 0.704, prior_entropy: 3.4594, recall: 0.704, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9273, scimark_benchmark: 483.0114, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9212, kappa: 0.9133, kb_relative_information_score: 884.1084, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.924, predictive_accuracy: 0.9212, prior_entropy: 3.4594, recall: 0.9212, relative_absolute_error: 0.2131, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.4044, scimark_benchmark: 1173.227, usercpu_time_millis: 200, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.5995, kappa: 0.5556, kb_relative_information_score: 638.1098, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6174, predictive_accuracy: 0.596, prior_entropy: 3.4594, recall: 0.596, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7677, scimark_benchmark: 1340.8696, usercpu_time_millis: 160, usercpu_time_millis_testing: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9675, kappa: 0.9644, kb_relative_information_score: 952.2891, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9679, predictive_accuracy: 0.9677, prior_entropy: 3.4594, recall: 0.9677, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2653, scimark_benchmark: 1333.7292, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.6262, kappa: 0.5967, kb_relative_information_score: 610.4847, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6292, predictive_accuracy: 0.6333, prior_entropy: 3.4594, recall: 0.6333, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7476, scimark_benchmark: 1330.5095, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.91, kappa: 0.9011, kb_relative_information_score: 828.0694, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9116, predictive_accuracy: 0.9101, prior_entropy: 3.4594, recall: 0.9101, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1288, root_relative_squared_error: 0.448, scimark_benchmark: 480.3348, usercpu_time_millis: 670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.6251, kappa: 0.5956, kb_relative_information_score: 610.4882, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6281, predictive_accuracy: 0.6323, prior_entropy: 3.4594, recall: 0.6323, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7476, scimark_benchmark: 1258.1994, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.6787, kappa: 0.6478, kb_relative_information_score: 672.0775, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6814, predictive_accuracy: 0.6798, prior_entropy: 3.4594, recall: 0.6798, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7331, scimark_benchmark: 1241.4458, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9014, kappa: 0.8922, kb_relative_information_score: 878.5092, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9027, predictive_accuracy: 0.902, prior_entropy: 3.4594, recall: 0.902, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.426, scimark_benchmark: 808.6798, usercpu_time_millis: 240, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.7678, kappa: 0.7456, kb_relative_information_score: 770.135, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7773, predictive_accuracy: 0.7687, prior_entropy: 3.4594, recall: 0.7687, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5929, scimark_benchmark: 1302.1467, usercpu_time_millis: 190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9697, kappa: 0.9667, kb_relative_information_score: 969.7965, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9706, predictive_accuracy: 0.9697, prior_entropy: 3.4594, recall: 0.9697, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1885, scimark_benchmark: 1159.1839, usercpu_time_millis: 150, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9238, kappa: 0.9167, kb_relative_information_score: 937.6573, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9268, predictive_accuracy: 0.9242, prior_entropy: 3.4594, recall: 0.9242, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.3159, scimark_benchmark: 1143.671, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.2273, kappa: 0.2267, kb_relative_information_score: 246.7332, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2296, predictive_accuracy: 0.297, prior_entropy: 3.4594, recall: 0.297, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9342, scimark_benchmark: 1157.1067, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.0931, kappa: 0.0944, kb_relative_information_score: 170.0016, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0679, predictive_accuracy: 0.1768, prior_entropy: 3.4594, recall: 0.1768, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9751, scimark_benchmark: 930.1547, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.2244, kappa: 0.24, kb_relative_information_score: 241.9372, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.251, predictive_accuracy: 0.3091, prior_entropy: 3.4594, recall: 0.3091, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.9349, scimark_benchmark: 1081.6453, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9939, kappa: 0.9933, kb_relative_information_score: 285.9101, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.994, predictive_accuracy: 0.9939, prior_entropy: 3.4594, recall: 0.9939, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.9162, scimark_benchmark: 1385.5171, usercpu_time_millis: 1190, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8073, kappa: 0.7889, kb_relative_information_score: 796.9663, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8094, predictive_accuracy: 0.8081, prior_entropy: 3.4594, recall: 0.8081, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.6129, scimark_benchmark: 943.7305, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 977.1204, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1331, scimark_benchmark: 1626.7699, usercpu_time_millis: 160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.2366, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6311, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7362, scimark_benchmark: 901.458, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.846, kappa: 0.8311, kb_relative_information_score: 835.4451, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8462, predictive_accuracy: 0.8465, prior_entropy: 3.4594, recall: 0.8465, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4988, scimark_benchmark: 1388.6953, usercpu_time_millis: 2560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9768, kappa: 0.9744, kb_relative_information_score: 831.3108, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9771, predictive_accuracy: 0.9768, prior_entropy: 3.4594, recall: 0.9768, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.401, scimark_benchmark: 1726.1713, usercpu_time_millis: 2600, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.902, kappa: 0.8922, kb_relative_information_score: 856.701, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9038, predictive_accuracy: 0.902, prior_entropy: 3.4594, recall: 0.902, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.119, root_relative_squared_error: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8026, kappa: 0.7822, kb_relative_information_score: 786.8126, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8042, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8202, kappa: 0.8022, kb_relative_information_score: 808.5392, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8211, predictive_accuracy: 0.8202, prior_entropy: 3.4594, recall: 0.8202, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.2366, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6311, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.6262, kappa: 0.5967, kb_relative_information_score: 610.4847, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6292, predictive_accuracy: 0.6333, prior_entropy: 3.4594, recall: 0.6333, relative_absolute_error: 0.568, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.0931, kappa: 0.0944, kb_relative_information_score: 170.0016, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0679, predictive_accuracy: 0.1768, prior_entropy: 3.4594, recall: 0.1768, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.3265, kappa: 0.2667, kb_relative_information_score: 303.7667, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3311, predictive_accuracy: 0.3333, prior_entropy: 3.4594, recall: 0.3333, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3482, root_relative_squared_error: 1.2111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.0394, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6309, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5213, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.7364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.6579, kappa: 0.6289, kb_relative_information_score: 715.1915, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6623, predictive_accuracy: 0.6626, prior_entropy: 3.4594, recall: 0.6626, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.835, kappa: 0.8178, kb_relative_information_score: 820.3472, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8366, predictive_accuracy: 0.8343, prior_entropy: 3.4594, recall: 0.8343, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9425, kappa: 0.9367, kb_relative_information_score: 932.4796, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9428, predictive_accuracy: 0.9424, prior_entropy: 3.4594, recall: 0.9424, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.3381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.0931, kappa: 0.0944, kb_relative_information_score: 170.0016, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0679, predictive_accuracy: 0.1768, prior_entropy: 3.4594, recall: 0.1768, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.6264, kappa: 0.59, kb_relative_information_score: 639.2366, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6311, predictive_accuracy: 0.6273, prior_entropy: 3.4594, recall: 0.6273, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.7625, kappa: 0.74, kb_relative_information_score: 745.4472, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7641, predictive_accuracy: 0.7636, prior_entropy: 3.4594, recall: 0.7636, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8965, kappa: 0.8844, kb_relative_information_score: 894.2154, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9005, predictive_accuracy: 0.8949, prior_entropy: 3.4594, recall: 0.8949, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9208, kappa: 0.9133, kb_relative_information_score: 895.1653, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9225, predictive_accuracy: 0.9212, prior_entropy: 3.4594, recall: 0.9212, relative_absolute_error: 0.1342, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8181, kappa: 0.8011, kb_relative_information_score: 796.694, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8206, predictive_accuracy: 0.8192, prior_entropy: 3.4594, recall: 0.8192, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8414, kappa: 0.8267, kb_relative_information_score: 830.3789, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8431, predictive_accuracy: 0.8424, prior_entropy: 3.4594, recall: 0.8424, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.5823, kappa: 0.5389, kb_relative_information_score: 579.8979, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5873, predictive_accuracy: 0.5808, prior_entropy: 3.4594, recall: 0.5808, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.2801, kappa: 0.2189, kb_relative_information_score: 161.5448, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2892, predictive_accuracy: 0.2899, prior_entropy: 3.4594, recall: 0.2899, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8479, kappa: 0.8344, kb_relative_information_score: 835.0776, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8569, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.3232, kappa: 0.3022, kb_relative_information_score: 50.2904, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4845, predictive_accuracy: 0.3657, prior_entropy: 3.4594, recall: 0.3657, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.754, kappa: 0.7311, kb_relative_information_score: 738.3811, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7549, predictive_accuracy: 0.7556, prior_entropy: 3.4594, recall: 0.7556, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: 54.2273, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.7925, kappa: 0.7733, kb_relative_information_score: 792.1132, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7951, predictive_accuracy: 0.7939, prior_entropy: 3.4594, recall: 0.7939, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.6453, kappa: 0.6156, kb_relative_information_score: 622.3315, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6457, predictive_accuracy: 0.6505, prior_entropy: 3.4594, recall: 0.6505, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.7228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.5797, kappa: 0.54, kb_relative_information_score: 324.855, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6093, predictive_accuracy: 0.5818, prior_entropy: 3.4594, recall: 0.5818, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.0907, kappa: 0.0922, kb_relative_information_score: 167.6149, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0821, predictive_accuracy: 0.1747, prior_entropy: 3.4594, recall: 0.1747, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8074, kappa: 0.7878, kb_relative_information_score: 790.8939, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8099, predictive_accuracy: 0.8071, prior_entropy: 3.4594, recall: 0.8071, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.176, root_relative_squared_error: 0.6123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9292, kappa: 0.9222, kb_relative_information_score: 912.3048, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9297, predictive_accuracy: 0.9293, prior_entropy: 3.4594, recall: 0.9293, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.5164, kappa: 0.4789, kb_relative_information_score: 498.9755, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5215, predictive_accuracy: 0.5263, prior_entropy: 3.4594, recall: 0.5263, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.7918, kappa: 0.7722, kb_relative_information_score: 778.765, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7969, predictive_accuracy: 0.7929, prior_entropy: 3.4594, recall: 0.7929, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8833, kappa: 0.8722, kb_relative_information_score: 822.3386, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8834, predictive_accuracy: 0.8838, prior_entropy: 3.4594, recall: 0.8838, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.8486, kappa: 0.8344, kb_relative_information_score: 748.4006, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.849, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.3968, kappa: 0.3644, kb_relative_information_score: 51.2269, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5127, predictive_accuracy: 0.4222, prior_entropy: 3.4594, recall: 0.4222, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.987,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs