Task
Supervised Classification on fri_c3_500_5

Supervised Classification on fri_c3_500_5

Task 3615 Supervised Classification fri_c3_500_5 566 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

566 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.6287, kappa: 0.255, kb_relative_information_score: 58.6633, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6293, predictive_accuracy: 0.63, prior_entropy: 0.9981, recall: 0.63, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.6291, kappa: 0.2557, kb_relative_information_score: 79.6592, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6293, predictive_accuracy: 0.63, prior_entropy: 0.9981, recall: 0.63, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8677, kappa: 0.7345, kb_relative_information_score: 326.1912, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8688, predictive_accuracy: 0.868, prior_entropy: 0.9981, recall: 0.868, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.848, kappa: 0.695, kb_relative_information_score: 309.6059, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9981, recall: 0.848, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.5941, kappa: 0.1863, kb_relative_information_score: 59.6628, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.5943, predictive_accuracy: 0.594, prior_entropy: 0.9981, recall: 0.594, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.88, kappa: 0.7595, kb_relative_information_score: 320.6648, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.87, kappa: 0.7395, kb_relative_information_score: 365.9322, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 0.9981, recall: 0.87, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.884, kappa: 0.7673, kb_relative_information_score: 383.0073, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9981, recall: 0.884, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.6215, kappa: 0.2405, kb_relative_information_score: 80.5229, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6214, predictive_accuracy: 0.622, prior_entropy: 0.9981, recall: 0.622, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8741, kappa: 0.7478, kb_relative_information_score: 338.2625, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8747, predictive_accuracy: 0.874, prior_entropy: 0.9981, recall: 0.874, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6219, kappa: 0.2415, kb_relative_information_score: 54.8698, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6218, predictive_accuracy: 0.622, prior_entropy: 0.9981, recall: 0.622, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6014, f_measure: 0.6436, kappa: 0.2954, kb_relative_information_score: 17.1358, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6629, predictive_accuracy: 0.654, prior_entropy: 0.9981, recall: 0.654, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.888, kappa: 0.7755, kb_relative_information_score: 338.8486, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9981, recall: 0.888, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6441, kappa: 0.2896, kb_relative_information_score: 136.3881, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6471, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.8698, kappa: 0.7387, kb_relative_information_score: 340.624, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8704, predictive_accuracy: 0.87, prior_entropy: 0.9981, recall: 0.87, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8659, kappa: 0.731, kb_relative_information_score: 252.2125, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.866, predictive_accuracy: 0.866, prior_entropy: 0.9981, recall: 0.866, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3626, kb_relative_information_score: -0.0319, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.2767, predictive_accuracy: 0.526, prior_entropy: 0.9981, recall: 0.526, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.904, kappa: 0.8076, kb_relative_information_score: 345.8364, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.9981, recall: 0.904, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.834, kappa: 0.667, kb_relative_information_score: 283.5334, mean_absolute_error: 0.223, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9981, recall: 0.834, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8799, kappa: 0.759, kb_relative_information_score: 346.3333, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8338, kappa: 0.6665, kb_relative_information_score: 325.941, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 0.9981, recall: 0.834, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.6602, kappa: 0.3204, kb_relative_information_score: 92.9125, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6618, predictive_accuracy: 0.66, prior_entropy: 0.9981, recall: 0.66, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6437, kappa: 0.2908, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6488, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6442, kappa: 0.287, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6445, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8541, kappa: 0.7076, kb_relative_information_score: 298.6285, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8545, predictive_accuracy: 0.854, prior_entropy: 0.9981, recall: 0.854, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.8338, kappa: 0.6665, kb_relative_information_score: 325.941, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8341, predictive_accuracy: 0.834, prior_entropy: 0.9981, recall: 0.834, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.8939, kappa: 0.7872, kb_relative_information_score: 345.3836, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.6233, kappa: 0.2471, kb_relative_information_score: 126.5485, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6286, predictive_accuracy: 0.628, prior_entropy: 0.9981, recall: 0.628, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6255, kappa: 0.2486, kb_relative_information_score: 56.9248, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6255, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6686, kappa: 0.382, kb_relative_information_score: 182.7658, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.684, prior_entropy: 0.9981, recall: 0.684, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6686, kappa: 0.382, kb_relative_information_score: 182.7658, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.684, prior_entropy: 0.9981, recall: 0.684, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6686, kappa: 0.382, kb_relative_information_score: 182.7658, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.684, prior_entropy: 0.9981, recall: 0.684, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.6686, kappa: 0.382, kb_relative_information_score: 182.7658, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.748, predictive_accuracy: 0.684, prior_entropy: 0.9981, recall: 0.684, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.896, kappa: 0.7916, kb_relative_information_score: 358.2942, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8962, predictive_accuracy: 0.896, prior_entropy: 0.9981, recall: 0.896, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.882, kappa: 0.7632, kb_relative_information_score: 326.707, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9981, recall: 0.882, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.84, kappa: 0.6793, kb_relative_information_score: 339.3713, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 0.9981, recall: 0.84, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4142, f_measure: 0.4159, kappa: -0.1717, kb_relative_information_score: -86.2743, mean_absolute_error: 0.584, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.4158, predictive_accuracy: 0.416, prior_entropy: 0.9981, recall: 0.416, relative_absolute_error: 1.1712, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7642, root_relative_squared_error: 1.5305, scimark_benchmark: 1697.6783, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.894, kappa: 0.7876, kb_relative_information_score: 393.5809, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8943, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.652, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4142, f_measure: 0.4159, kappa: -0.1717, kb_relative_information_score: -86.2743, mean_absolute_error: 0.584, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.4158, predictive_accuracy: 0.416, prior_entropy: 0.9981, recall: 0.416, relative_absolute_error: 1.1712, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7642, root_relative_squared_error: 1.5305, scimark_benchmark: 1388.8284, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.894, kappa: 0.7876, kb_relative_information_score: 393.5809, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8943, predictive_accuracy: 0.894, prior_entropy: 0.9981, recall: 0.894, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.652, scimark_benchmark: 1614.5573, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6098, kappa: 0.2913, kb_relative_information_score: 82.6274, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7132, predictive_accuracy: 0.636, prior_entropy: 0.9981, recall: 0.636, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9476, scimark_benchmark: 1908.2191, usercpu_time_millis: 1156.25, usercpu_time_millis_training: 1156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6348, kappa: 0.289, kb_relative_information_score: 87.3365, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6589, predictive_accuracy: 0.64, prior_entropy: 0.9981, recall: 0.64, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9421, scimark_benchmark: 1908.2191, usercpu_time_millis: 1031.25, usercpu_time_millis_training: 1031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7532, kappa: 0.5047, kb_relative_information_score: 253.0375, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7545, predictive_accuracy: 0.754, prior_entropy: 0.9981, recall: 0.754, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9933, scimark_benchmark: 1827.4462, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6779, kappa: 0.3581, kb_relative_information_score: 176.7426, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6824, predictive_accuracy: 0.678, prior_entropy: 0.9981, recall: 0.678, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1364, scimark_benchmark: 1827.4462, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.7997, kappa: 0.6019, kb_relative_information_score: 252.2833, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.8, prior_entropy: 0.9981, recall: 0.8, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7377, scimark_benchmark: 1432.0052, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.6348, kappa: 0.289, kb_relative_information_score: 87.3365, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6589, predictive_accuracy: 0.64, prior_entropy: 0.9981, recall: 0.64, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9421, scimark_benchmark: 1871.4229, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962, scimark_benchmark: 1414.9623, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.6029, kappa: 0.2798, kb_relative_information_score: 80.6061, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.63, prior_entropy: 0.9981, recall: 0.63, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9477, scimark_benchmark: 1217.0111, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6437, kappa: 0.2908, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6488, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6807, kappa: 0.3685, kb_relative_information_score: 180.7581, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.682, prior_entropy: 0.9981, recall: 0.682, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1294, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6642, kappa: 0.3276, kb_relative_information_score: 91.7226, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9228, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8858, kappa: 0.7709, kb_relative_information_score: 384.3142, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9981, recall: 0.886, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6747, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.884, kappa: 0.7676, kb_relative_information_score: 353.4948, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9981, recall: 0.884, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.56, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.8498, kappa: 0.6985, kb_relative_information_score: 307.2319, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8503, predictive_accuracy: 0.85, prior_entropy: 0.9981, recall: 0.85, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7281, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8539, kappa: 0.7069, kb_relative_information_score: 307.2272, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9981, recall: 0.854, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.712, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8899, kappa: 0.7791, kb_relative_information_score: 345.7211, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8901, predictive_accuracy: 0.89, prior_entropy: 0.9981, recall: 0.89, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2785, root_relative_squared_error: 0.5578, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.5941, kappa: 0.1863, kb_relative_information_score: 59.6628, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.5943, predictive_accuracy: 0.594, prior_entropy: 0.9981, recall: 0.594, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9785, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8379, kappa: 0.6749, kb_relative_information_score: 329.6672, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8379, predictive_accuracy: 0.838, prior_entropy: 0.9981, recall: 0.838, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7759, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6258, kappa: 0.2492, kb_relative_information_score: 58.4536, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6257, predictive_accuracy: 0.626, prior_entropy: 0.9981, recall: 0.626, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.962, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6437, kappa: 0.2908, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6488, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6807, kappa: 0.3685, kb_relative_information_score: 180.7581, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.682, prior_entropy: 0.9981, recall: 0.682, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1294, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.6029, kappa: 0.2798, kb_relative_information_score: 80.606, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.63, prior_entropy: 0.9981, recall: 0.63, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9477, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6642, kappa: 0.3276, kb_relative_information_score: 91.7226, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9228, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8858, kappa: 0.7709, kb_relative_information_score: 384.3142, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8865, predictive_accuracy: 0.886, prior_entropy: 0.9981, recall: 0.886, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6747, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.884, kappa: 0.7676, kb_relative_information_score: 353.4948, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9981, recall: 0.884, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.56, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.8457, kappa: 0.6903, kb_relative_information_score: 303.6061, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8465, predictive_accuracy: 0.846, prior_entropy: 0.9981, recall: 0.846, relative_absolute_error: 0.4186, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7363, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8539, kappa: 0.7069, kb_relative_information_score: 307.629, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9981, recall: 0.854, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7122, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8879, kappa: 0.7751, kb_relative_information_score: 344.217, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9981, recall: 0.888, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5607, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.5941, kappa: 0.1863, kb_relative_information_score: 59.6628, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.5943, predictive_accuracy: 0.594, prior_entropy: 0.9981, recall: 0.594, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9785, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.8359, kappa: 0.6707, kb_relative_information_score: 328.2455, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9981, recall: 0.836, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3907, root_relative_squared_error: 0.7824, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6642, kappa: 0.3276, kb_relative_information_score: 91.7226, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9228, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.848, kappa: 0.695, kb_relative_information_score: 309.6059, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9981, recall: 0.848, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7278, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.884, kappa: 0.7676, kb_relative_information_score: 353.4948, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8842, predictive_accuracy: 0.884, prior_entropy: 0.9981, recall: 0.884, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.56, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6029, kappa: 0.2798, kb_relative_information_score: 80.6498, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.7061, predictive_accuracy: 0.63, prior_entropy: 0.9981, recall: 0.63, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9477, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.86, kappa: 0.7191, kb_relative_information_score: 332.899, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9981, recall: 0.86, relative_absolute_error: 0.3488, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6223, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8419, kappa: 0.6827, kb_relative_information_score: 297.0459, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9981, recall: 0.842, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7397, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.5944, kappa: 0.2309, kb_relative_information_score: 50.9646, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6406, predictive_accuracy: 0.608, prior_entropy: 0.9981, recall: 0.608, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9771, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.642, kappa: 0.2822, kb_relative_information_score: 72.3892, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6421, predictive_accuracy: 0.642, prior_entropy: 0.9981, recall: 0.642, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9392, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6442, kappa: 0.287, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6445, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6437, kappa: 0.2908, kb_relative_information_score: 142.6106, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6488, predictive_accuracy: 0.644, prior_entropy: 0.9981, recall: 0.644, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1949, scimark_benchmark: 883.92, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6642, kappa: 0.3276, kb_relative_information_score: 91.7226, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.665, predictive_accuracy: 0.664, prior_entropy: 0.9981, recall: 0.664, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9228, scimark_benchmark: 1038.0649, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.868, kappa: 0.7365, kb_relative_information_score: 324.1348, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8715, predictive_accuracy: 0.868, prior_entropy: 0.9981, recall: 0.868, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.5866, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8578, kappa: 0.7173, kb_relative_information_score: 358.8676, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.858, prior_entropy: 0.9981, recall: 0.858, relative_absolute_error: 0.2824, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.636, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8798, kappa: 0.7612, kb_relative_information_score: 368.9137, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8898, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5904, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.88, kappa: 0.7606, kb_relative_information_score: 320.7361, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8848, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.5892, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8799, kappa: 0.759, kb_relative_information_score: 346.3333, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9981, recall: 0.88, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.5834, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.904, kappa: 0.8076, kb_relative_information_score: 345.8364, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.9041, predictive_accuracy: 0.904, prior_entropy: 0.9981, recall: 0.904, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5732, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.828, kappa: 0.6551, kb_relative_information_score: 327.3247, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9981, recall: 0.828, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.872, kappa: 0.7446, kb_relative_information_score: 371.4955, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.8761, predictive_accuracy: 0.872, prior_entropy: 0.9981, recall: 0.872, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.934, kappa: 0.8676, kb_relative_information_score: 433.7361, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.934, predictive_accuracy: 0.934, prior_entropy: 0.9981, recall: 0.934, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.6422, kappa: 0.2846, kb_relative_information_score: 140.6028, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6439, predictive_accuracy: 0.642, prior_entropy: 0.9981, recall: 0.642, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.1983, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.6807, kappa: 0.3685, kb_relative_information_score: 180.7581, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.682, prior_entropy: 0.9981, recall: 0.682, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.1294, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.902, kappa: 0.8034, kb_relative_information_score: 401.6119, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9981, recall: 0.902, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.6269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8479, kappa: 0.6948, kb_relative_information_score: 299.1919, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.848, prior_entropy: 0.9981, recall: 0.848, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7186, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.852, kappa: 0.7031, kb_relative_information_score: 305.586, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4987, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9981, recall: 0.852, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7157, scimark_benchmark: 1779.392,

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

OpenML bootcamp

From your own software

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

OpenML APIs