OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9168, kappa: 0.8296, kb_relative_information_score: 31929.1661, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9168, predictive_accuracy: 0.9168, prior_entropy: 0.9835, recall: 0.9168, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5135, scimark_benchmark: 1241.9392, usercpu_time_millis: 1992.89, usercpu_time_millis_testing: 61.46, usercpu_time_millis_training: 1931.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7808, kappa: 0.549, kb_relative_information_score: 16908.0121, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7912, predictive_accuracy: 0.7862, prior_entropy: 0.9835, recall: 0.7862, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7774, scimark_benchmark: 1310.6462, usercpu_time_millis: 115.51, usercpu_time_millis_testing: 7.76, usercpu_time_millis_training: 107.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8695, kappa: 0.7325, kb_relative_information_score: 26862.4925, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8694, predictive_accuracy: 0.8697, prior_entropy: 0.9835, recall: 0.8697, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6223, scimark_benchmark: 1330.7956, usercpu_time_millis: 571.93, usercpu_time_millis_testing: 14.39, usercpu_time_millis_training: 557.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.1391, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1264.2226, usercpu_time_millis: 140.4, usercpu_time_millis_testing: 9.88, usercpu_time_millis_training: 130.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8491, kappa: 0.6904, kb_relative_information_score: 24720.7169, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8492, predictive_accuracy: 0.8495, prior_entropy: 0.9835, recall: 0.8495, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6603, scimark_benchmark: 1310.2454, usercpu_time_millis: 159.54, usercpu_time_millis_testing: 5.84, usercpu_time_millis_training: 153.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7516, kappa: 0.4909, kb_relative_information_score: 8407.7203, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.773, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8825, scimark_benchmark: 1307.1949, usercpu_time_millis: 36.74, usercpu_time_millis_testing: 3.93, usercpu_time_millis_training: 32.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.771, kappa: 0.5292, kb_relative_information_score: 16179.0914, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7845, predictive_accuracy: 0.7777, prior_entropy: 0.9835, recall: 0.7777, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7873, scimark_benchmark: 1284.2165, usercpu_time_millis: 192.8, usercpu_time_millis_testing: 15.1, usercpu_time_millis_training: 177.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7511, kappa: 0.4898, kb_relative_information_score: 10235.4142, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7726, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8615, scimark_benchmark: 1331.3449, usercpu_time_millis: 65.73, usercpu_time_millis_testing: 6.99, usercpu_time_millis_training: 58.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9106, kappa: 0.817, kb_relative_information_score: 31876.2624, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9106, predictive_accuracy: 0.9106, prior_entropy: 0.9835, recall: 0.9106, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.5243, scimark_benchmark: 1288.9606, usercpu_time_millis: 347.11, usercpu_time_millis_testing: 5.7, usercpu_time_millis_training: 341.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.865, kappa: 0.7233, kb_relative_information_score: 26455.6176, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.865, predictive_accuracy: 0.8653, prior_entropy: 0.9835, recall: 0.8653, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6322, scimark_benchmark: 1379.9055, usercpu_time_millis: 1158.96, usercpu_time_millis_testing: 23.89, usercpu_time_millis_training: 1135.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8429, kappa: 0.6771, kb_relative_information_score: 20836.1394, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.844, predictive_accuracy: 0.8439, prior_entropy: 0.9835, recall: 0.8439, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.345, root_relative_squared_error: 0.6979, scimark_benchmark: 1315.3973, usercpu_time_millis: 202.36, usercpu_time_millis_testing: 25.48, usercpu_time_millis_training: 176.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7484, kappa: 0.4851, kb_relative_information_score: 8514.7865, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7735, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.8488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8784, scimark_benchmark: 1297.7208, usercpu_time_millis: 95.26, usercpu_time_millis_testing: 10.05, usercpu_time_millis_training: 85.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8376, kappa: 0.6669, kb_relative_information_score: 23599.1932, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8376, predictive_accuracy: 0.838, prior_entropy: 0.9835, recall: 0.838, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6852, scimark_benchmark: 1370.0553, usercpu_time_millis: 178.08, usercpu_time_millis_testing: 4.63, usercpu_time_millis_training: 173.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7919, kappa: 0.5734, kb_relative_information_score: 18597.3429, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7924, prior_entropy: 0.9835, recall: 0.7924, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.7737, scimark_benchmark: 1268.6001, usercpu_time_millis: 283.92, usercpu_time_millis_testing: 14.55, usercpu_time_millis_training: 269.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8846, kappa: 0.7633, kb_relative_information_score: 27647.9561, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8846, predictive_accuracy: 0.8848, prior_entropy: 0.9835, recall: 0.8848, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5944, scimark_benchmark: 1324.8787, usercpu_time_millis: 353.4, usercpu_time_millis_testing: 11.33, usercpu_time_millis_training: 342.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7608, kappa: 0.5092, kb_relative_information_score: 12480.6925, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.78, predictive_accuracy: 0.7696, prior_entropy: 0.9835, recall: 0.7696, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.8264, scimark_benchmark: 1313.6963, usercpu_time_millis: 88.74, usercpu_time_millis_testing: 8.11, usercpu_time_millis_training: 80.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.76, kappa: 0.5077, kb_relative_information_score: 11888.5478, mean_absolute_error: 0.3804, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7794, predictive_accuracy: 0.769, prior_entropy: 0.9835, recall: 0.769, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.834, scimark_benchmark: 1349.3719, usercpu_time_millis: 255.22, usercpu_time_millis_testing: 29.26, usercpu_time_millis_training: 225.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.727, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1336.6486, usercpu_time_millis: 99.22, usercpu_time_millis_testing: 5.56, usercpu_time_millis_training: 93.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8664, kappa: 0.7262, kb_relative_information_score: 26550.644, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8664, predictive_accuracy: 0.8666, prior_entropy: 0.9835, recall: 0.8666, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6285, scimark_benchmark: 1346.891, usercpu_time_millis: 842.52, usercpu_time_millis_testing: 19.56, usercpu_time_millis_training: 822.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.819, kappa: 0.6286, kb_relative_information_score: 21609.8142, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.819, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7197, scimark_benchmark: 1326.7371, usercpu_time_millis: 395.3, usercpu_time_millis_testing: 14.82, usercpu_time_millis_training: 380.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14186.5202, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8465, scimark_benchmark: 1321.1293, usercpu_time_millis: 76.6, usercpu_time_millis_testing: 3.82, usercpu_time_millis_training: 72.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7556, kappa: 0.4985, kb_relative_information_score: 12389.4542, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7742, predictive_accuracy: 0.7646, prior_entropy: 0.9835, recall: 0.7646, relative_absolute_error: 0.7665, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8343, scimark_benchmark: 1344.6693, usercpu_time_millis: 51.43, usercpu_time_millis_testing: 4.85, usercpu_time_millis_training: 46.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.768, kappa: 0.5233, kb_relative_information_score: 16585.5088, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7821, predictive_accuracy: 0.7751, prior_entropy: 0.9835, recall: 0.7751, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.7873, scimark_benchmark: 1321.8831, usercpu_time_millis: 34.46, usercpu_time_millis_testing: 2.3, usercpu_time_millis_training: 32.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8531, kappa: 0.6982, kb_relative_information_score: 21910.3704, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.8538, prior_entropy: 0.9835, recall: 0.8538, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.678, scimark_benchmark: 1273.8317, usercpu_time_millis: 682.84, usercpu_time_millis_testing: 63.09, usercpu_time_millis_training: 619.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8264, kappa: 0.6437, kb_relative_information_score: 22484.406, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8265, predictive_accuracy: 0.8271, prior_entropy: 0.9835, recall: 0.8271, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.348, root_relative_squared_error: 0.704, scimark_benchmark: 1282.6112, usercpu_time_millis: 640.02, usercpu_time_millis_testing: 22.97, usercpu_time_millis_training: 617.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7491, kappa: 0.485, kb_relative_information_score: 13977.9354, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7659, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8373, scimark_benchmark: 1360.2035, usercpu_time_millis: 123.33, usercpu_time_millis_testing: 7.66, usercpu_time_millis_training: 115.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9185, kappa: 0.833, kb_relative_information_score: 32074.5036, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9184, predictive_accuracy: 0.9185, prior_entropy: 0.9835, recall: 0.9185, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5084, scimark_benchmark: 1339.3843, usercpu_time_millis: 216.55, usercpu_time_millis_testing: 4.78, usercpu_time_millis_training: 211.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.926, kappa: 0.8485, kb_relative_information_score: 33659.8808, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 0.9835, recall: 0.926, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.4829, scimark_benchmark: 1355.6223, usercpu_time_millis: 301.78, usercpu_time_millis_testing: 6.11, usercpu_time_millis_training: 295.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8059, kappa: 0.6009, kb_relative_information_score: 19005.7328, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8075, predictive_accuracy: 0.8076, prior_entropy: 0.9835, recall: 0.8076, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7565, scimark_benchmark: 1239.6539, usercpu_time_millis: 258.92, usercpu_time_millis_testing: 16.35, usercpu_time_millis_training: 242.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8832, kappa: 0.7608, kb_relative_information_score: 28009.2479, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8832, predictive_accuracy: 0.8834, prior_entropy: 0.9835, recall: 0.8834, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5976, scimark_benchmark: 1177.5899, usercpu_time_millis: 173.63, usercpu_time_millis_testing: 4.07, usercpu_time_millis_training: 169.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.808, kappa: 0.6048, kb_relative_information_score: 17611.2256, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8121, predictive_accuracy: 0.8106, prior_entropy: 0.9835, recall: 0.8106, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.755, scimark_benchmark: 1246.4476, usercpu_time_millis: 9.82, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 9.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 17618.484, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7923, predictive_accuracy: 0.7878, prior_entropy: 0.9835, recall: 0.7878, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.773, scimark_benchmark: 1848.7121, usercpu_time_millis: 196.931, usercpu_time_millis_testing: 14.184, usercpu_time_millis_training: 182.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13175.4682, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8637, scimark_benchmark: 1741.0623, usercpu_time_millis: 64.262, usercpu_time_millis_testing: 6.136, usercpu_time_millis_training: 58.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8905, kappa: 0.7757, kb_relative_information_score: 28782.0133, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8904, predictive_accuracy: 0.8906, prior_entropy: 0.9835, recall: 0.8906, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.5816, scimark_benchmark: 1741.2354, usercpu_time_millis: 20.606, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 20.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7516, kappa: 0.4909, kb_relative_information_score: 9549.9882, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.773, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8683, scimark_benchmark: 1824.6847, usercpu_time_millis: 50.692, usercpu_time_millis_testing: 6.442, usercpu_time_millis_training: 44.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8067, kappa: 0.6032, kb_relative_information_score: 20100.8958, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8067, predictive_accuracy: 0.8074, prior_entropy: 0.9835, recall: 0.8074, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7458, scimark_benchmark: 1733.4112, usercpu_time_millis: 12.962, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 12.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8185, kappa: 0.627, kb_relative_information_score: 20577.292, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8197, predictive_accuracy: 0.8199, prior_entropy: 0.9835, recall: 0.8199, relative_absolute_error: 0.5786, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7274, scimark_benchmark: 1877.61, usercpu_time_millis: 232.19, usercpu_time_millis_testing: 17.041, usercpu_time_millis_training: 215.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8101, kappa: 0.6106, kb_relative_information_score: 21447.752, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.81, predictive_accuracy: 0.8107, prior_entropy: 0.9835, recall: 0.8107, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7338, scimark_benchmark: 1741.272, usercpu_time_millis: 106.983, usercpu_time_millis_testing: 2.985, usercpu_time_millis_training: 103.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7436, kappa: 0.4763, kb_relative_information_score: 6755.4107, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7564, prior_entropy: 0.9835, recall: 0.7564, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9023, scimark_benchmark: 1764.2851, usercpu_time_millis: 71.045, usercpu_time_millis_testing: 10.007, usercpu_time_millis_training: 61.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0634, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1831.1891, usercpu_time_millis: 39.873, usercpu_time_millis_testing: 10.03, usercpu_time_millis_training: 29.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.4244, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1743.7234, usercpu_time_millis: 36.013, usercpu_time_millis_testing: 5.807, usercpu_time_millis_training: 30.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8052, kappa: 0.6003, kb_relative_information_score: 20010.8883, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8052, predictive_accuracy: 0.806, prior_entropy: 0.9835, recall: 0.806, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7472, scimark_benchmark: 1802.0789, usercpu_time_millis: 249.11, usercpu_time_millis_testing: 17.083, usercpu_time_millis_training: 232.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8625, kappa: 0.7181, kb_relative_information_score: 26145.5995, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8624, predictive_accuracy: 0.8627, prior_entropy: 0.9835, recall: 0.8627, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6361, scimark_benchmark: 1804.8235, usercpu_time_millis: 26.663, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 25.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8536, kappa: 0.6995, kb_relative_information_score: 24138.2137, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8539, predictive_accuracy: 0.8542, prior_entropy: 0.9835, recall: 0.8542, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6567, scimark_benchmark: 1715.2408, usercpu_time_millis: 144.035, usercpu_time_millis_testing: 9.152, usercpu_time_millis_training: 134.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.7476, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1728.4686, usercpu_time_millis: 29.117, usercpu_time_millis_testing: 4.846, usercpu_time_millis_training: 24.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7639, kappa: 0.5154, kb_relative_information_score: 12846.169, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7818, predictive_accuracy: 0.7722, prior_entropy: 0.9835, recall: 0.7722, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8215, scimark_benchmark: 1650.8332, usercpu_time_millis: 10.315, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 9.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5418, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1774.1294, usercpu_time_millis: 11.514, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 10.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8035, kappa: 0.5969, kb_relative_information_score: 19918.797, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8035, predictive_accuracy: 0.8042, prior_entropy: 0.9835, recall: 0.8042, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7526, scimark_benchmark: 1842.1882, usercpu_time_millis: 302.03, usercpu_time_millis_testing: 14.079, usercpu_time_millis_training: 287.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7942, kappa: 0.5778, kb_relative_information_score: 18667.0685, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7948, prior_entropy: 0.9835, recall: 0.7948, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7694, scimark_benchmark: 1723.9721, usercpu_time_millis: 125.61, usercpu_time_millis_testing: 6.084, usercpu_time_millis_training: 119.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7753, kappa: 0.5375, kb_relative_information_score: 17724.1853, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7817, predictive_accuracy: 0.7796, prior_entropy: 0.9835, recall: 0.7796, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7883, scimark_benchmark: 1749.7088, usercpu_time_millis: 120.191, usercpu_time_millis_testing: 8.467, usercpu_time_millis_training: 111.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.804, kappa: 0.5966, kb_relative_information_score: 17082.3453, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8095, predictive_accuracy: 0.8072, prior_entropy: 0.9835, recall: 0.8072, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7617, scimark_benchmark: 1849.1766, usercpu_time_millis: 96.066, usercpu_time_millis_testing: 6.508, usercpu_time_millis_training: 89.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8018, kappa: 0.5934, kb_relative_information_score: 19881.7852, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8018, predictive_accuracy: 0.8025, prior_entropy: 0.9835, recall: 0.8025, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7535, scimark_benchmark: 1792.2739, usercpu_time_millis: 51.038, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 48.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8296, kappa: 0.6499, kb_relative_information_score: 21553.4448, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8305, predictive_accuracy: 0.8307, prior_entropy: 0.9835, recall: 0.8307, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7041, scimark_benchmark: 1507.7495, usercpu_time_millis: 334.78, usercpu_time_millis_testing: 20.409, usercpu_time_millis_training: 314.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8144, kappa: 0.619, kb_relative_information_score: 20591.8705, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8146, predictive_accuracy: 0.8152, prior_entropy: 0.9835, recall: 0.8152, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7341, scimark_benchmark: 1781.4384, usercpu_time_millis: 279.539, usercpu_time_millis_testing: 13.876, usercpu_time_millis_training: 265.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.7822, kappa: 0.552, kb_relative_information_score: 17068.046, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7923, predictive_accuracy: 0.7875, prior_entropy: 0.9835, recall: 0.7875, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7748, scimark_benchmark: 1851.9456, usercpu_time_millis: 175.147, usercpu_time_millis_testing: 13.876, usercpu_time_millis_training: 161.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.814, kappa: 0.6173, kb_relative_information_score: 19725.6644, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8161, prior_entropy: 0.9835, recall: 0.8161, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7353, scimark_benchmark: 1805.2459, usercpu_time_millis: 147.534, usercpu_time_millis_testing: 15.876, usercpu_time_millis_training: 131.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.7785, kappa: 0.5447, kb_relative_information_score: 14620.7414, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7916, predictive_accuracy: 0.7848, prior_entropy: 0.9835, recall: 0.7848, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7972, scimark_benchmark: 1852.5406, usercpu_time_millis: 132.153, usercpu_time_millis_testing: 13.404, usercpu_time_millis_training: 118.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8003, kappa: 0.5901, kb_relative_information_score: 19434.3622, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8002, predictive_accuracy: 0.8009, prior_entropy: 0.9835, recall: 0.8009, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7579, scimark_benchmark: 1802.1497, usercpu_time_millis: 46.175, usercpu_time_millis_testing: 2.213, usercpu_time_millis_training: 43.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.7545, kappa: 0.4964, kb_relative_information_score: 11023.2431, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7741, predictive_accuracy: 0.7638, prior_entropy: 0.9835, recall: 0.7638, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8511, scimark_benchmark: 1882.8869, usercpu_time_millis: 44.093, usercpu_time_millis_testing: 4.714, usercpu_time_millis_training: 39.379,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 11415.9693, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8636, scimark_benchmark: 1734.5659, usercpu_time_millis: 4.97, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 4.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 22004.1379, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7111, scimark_benchmark: 1542.4542, usercpu_time_millis: 345.209, usercpu_time_millis_testing: 14.27, usercpu_time_millis_training: 330.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8284, kappa: 0.6476, kb_relative_information_score: 22234.1761, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8287, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7025, scimark_benchmark: 1782.704, usercpu_time_millis: 330.429, usercpu_time_millis_testing: 16.736, usercpu_time_millis_training: 313.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8315, kappa: 0.6544, kb_relative_information_score: 23173.6624, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 0.9835, recall: 0.832, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6959, scimark_benchmark: 1839.5353, usercpu_time_millis: 372.182, usercpu_time_millis_testing: 15.311, usercpu_time_millis_training: 356.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.839, kappa: 0.6697, kb_relative_information_score: 24924.7357, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8389, predictive_accuracy: 0.8394, prior_entropy: 0.9835, recall: 0.8394, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6782, scimark_benchmark: 2077.3001, usercpu_time_millis: 344.157, usercpu_time_millis_testing: 9.168, usercpu_time_millis_training: 334.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.815, kappa: 0.6195, kb_relative_information_score: 20072.4265, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8166, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7354, scimark_benchmark: 1840.2451, usercpu_time_millis: 223.954, usercpu_time_millis_testing: 16.149, usercpu_time_millis_training: 207.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8199, kappa: 0.6302, kb_relative_information_score: 21188.1329, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8202, predictive_accuracy: 0.8208, prior_entropy: 0.9835, recall: 0.8208, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.7215, scimark_benchmark: 1944.6888, usercpu_time_millis: 260.796, usercpu_time_millis_testing: 15.015, usercpu_time_millis_training: 245.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.4191, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1732.8258, usercpu_time_millis: 51.862, usercpu_time_millis_testing: 5.293, usercpu_time_millis_training: 46.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7925, kappa: 0.5739, kb_relative_information_score: 18429.4484, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7925, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7735, scimark_benchmark: 1844.6587, usercpu_time_millis: 126.599, usercpu_time_millis_testing: 6.287, usercpu_time_millis_training: 120.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8089, kappa: 0.6069, kb_relative_information_score: 19339.8616, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8115, predictive_accuracy: 0.811, prior_entropy: 0.9835, recall: 0.811, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.747, scimark_benchmark: 1769.4653, usercpu_time_millis: 35.197, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 32.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8214, kappa: 0.6334, kb_relative_information_score: 21842.3245, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8216, predictive_accuracy: 0.8221, prior_entropy: 0.9835, recall: 0.8221, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7129, scimark_benchmark: 1738.6302, usercpu_time_millis: 39.053, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 37.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7437, kappa: 0.4764, kb_relative_information_score: 6716.486, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7727, predictive_accuracy: 0.7563, prior_entropy: 0.9835, recall: 0.7563, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9029, scimark_benchmark: 1629.6333, usercpu_time_millis: 24.447, usercpu_time_millis_testing: 3.063, usercpu_time_millis_training: 21.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7806, kappa: 0.5489, kb_relative_information_score: 14814.4075, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.793, predictive_accuracy: 0.7866, prior_entropy: 0.9835, recall: 0.7866, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7947, scimark_benchmark: 1803.1119, usercpu_time_millis: 172.485, usercpu_time_millis_testing: 16.493, usercpu_time_millis_training: 155.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7911, kappa: 0.5703, kb_relative_information_score: 18309.374, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7708, scimark_benchmark: 2026.686, usercpu_time_millis: 85.975, usercpu_time_millis_testing: 9.048, usercpu_time_millis_training: 76.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13194.0338, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8652, scimark_benchmark: 1738.1153, usercpu_time_millis: 65.174, usercpu_time_millis_testing: 6.729, usercpu_time_millis_training: 58.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 2.2658, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1780.2805, usercpu_time_millis: 14.799, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 12.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8088, kappa: 0.6077, kb_relative_information_score: 20104.1075, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8087, predictive_accuracy: 0.8094, prior_entropy: 0.9835, recall: 0.8094, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7448, scimark_benchmark: 1841.8649, usercpu_time_millis: 271.898, usercpu_time_millis_testing: 14.371, usercpu_time_millis_training: 257.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.7863, kappa: 0.5609, kb_relative_information_score: 18014.8987, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7878, prior_entropy: 0.9835, recall: 0.7878, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7829, scimark_benchmark: 1757.64, usercpu_time_millis: 76.026, usercpu_time_millis_testing: 2.801, usercpu_time_millis_training: 73.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7962, kappa: 0.5832, kb_relative_information_score: 19226.5023, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7964, predictive_accuracy: 0.7961, prior_entropy: 0.9835, recall: 0.7961, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7724, scimark_benchmark: 1846.3672, usercpu_time_millis: 202.388, usercpu_time_millis_testing: 7.808, usercpu_time_millis_training: 194.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.807, kappa: 0.6041, kb_relative_information_score: 20381.9918, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.807, predictive_accuracy: 0.8076, prior_entropy: 0.9835, recall: 0.8076, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7439, scimark_benchmark: 1763.2857, usercpu_time_millis: 183.014, usercpu_time_millis_testing: 12.106, usercpu_time_millis_training: 170.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7549, kappa: 0.4963, kb_relative_information_score: 15303.9559, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7685, predictive_accuracy: 0.7624, prior_entropy: 0.9835, recall: 0.7624, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8108, scimark_benchmark: 1760.7174, usercpu_time_millis: 179.346, usercpu_time_millis_testing: 12.612, usercpu_time_millis_training: 166.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.757, kappa: 0.5013, kb_relative_information_score: 15259.883, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7746, predictive_accuracy: 0.7656, prior_entropy: 0.9835, recall: 0.7656, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8048, scimark_benchmark: 1760.9666, usercpu_time_millis: 150.107, usercpu_time_millis_testing: 12.908, usercpu_time_millis_training: 137.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.7982, kappa: 0.5847, kb_relative_information_score: 16634.0868, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.805, predictive_accuracy: 0.802, prior_entropy: 0.9835, recall: 0.802, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7685, scimark_benchmark: 1819.308, usercpu_time_millis: 101.616, usercpu_time_millis_testing: 11.71, usercpu_time_millis_training: 89.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8448, kappa: 0.6813, kb_relative_information_score: 23933.8837, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.845, predictive_accuracy: 0.8454, prior_entropy: 0.9835, recall: 0.8454, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6711, scimark_benchmark: 1753.3517, usercpu_time_millis: 4.479, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 4.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8275, kappa: 0.646, kb_relative_information_score: 23023.821, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8275, predictive_accuracy: 0.8281, prior_entropy: 0.9835, recall: 0.8281, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7008, scimark_benchmark: 1848.7762, usercpu_time_millis: 501.959, usercpu_time_millis_testing: 17.747, usercpu_time_millis_training: 484.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8033, kappa: 0.5963, kb_relative_information_score: 20205.2192, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8032, predictive_accuracy: 0.8039, prior_entropy: 0.9835, recall: 0.8039, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7503, scimark_benchmark: 1726.7057, usercpu_time_millis: 430.483, usercpu_time_millis_testing: 14.732, usercpu_time_millis_training: 415.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.7764, kappa: 0.5401, kb_relative_information_score: 17459.6168, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7865, predictive_accuracy: 0.7819, prior_entropy: 0.9835, recall: 0.7819, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7784, scimark_benchmark: 1730.3999, usercpu_time_millis: 177.754, usercpu_time_millis_testing: 14.245, usercpu_time_millis_training: 163.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8298, kappa: 0.6502, kb_relative_information_score: 21543.2744, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8308, predictive_accuracy: 0.8309, prior_entropy: 0.9835, recall: 0.8309, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7046, scimark_benchmark: 1759.1344, usercpu_time_millis: 179.516, usercpu_time_millis_testing: 13.909, usercpu_time_millis_training: 165.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.801, kappa: 0.5917, kb_relative_information_score: 19668.1769, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.801, predictive_accuracy: 0.8017, prior_entropy: 0.9835, recall: 0.8017, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7579, scimark_benchmark: 1758.3885, usercpu_time_millis: 137.875, usercpu_time_millis_testing: 6.573, usercpu_time_millis_training: 131.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7494, kappa: 0.4854, kb_relative_information_score: 15014.8901, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7655, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.826, scimark_benchmark: 1848.8462, usercpu_time_millis: 134.11, usercpu_time_millis_testing: 10.06, usercpu_time_millis_training: 124.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7949, kappa: 0.5796, kb_relative_information_score: 18885.738, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7947, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7704, scimark_benchmark: 1834.1659, usercpu_time_millis: 172.944, usercpu_time_millis_testing: 9.311, usercpu_time_millis_training: 163.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8196, kappa: 0.63, kb_relative_information_score: 21602.6812, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8194, predictive_accuracy: 0.8199, prior_entropy: 0.9835, recall: 0.8199, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7231, scimark_benchmark: 1835.7111, usercpu_time_millis: 139.937, usercpu_time_millis_testing: 7.814, usercpu_time_millis_training: 132.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7635, kappa: 0.5143, kb_relative_information_score: 15327.2012, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7795, predictive_accuracy: 0.7713, prior_entropy: 0.9835, recall: 0.7713, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7981, scimark_benchmark: 1830.7073, usercpu_time_millis: 146.107, usercpu_time_millis_testing: 11.879, usercpu_time_millis_training: 134.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7751, kappa: 0.5373, kb_relative_information_score: 17514.7643, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7847, predictive_accuracy: 0.7805, prior_entropy: 0.9835, recall: 0.7805, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7799, scimark_benchmark: 1782.0022, usercpu_time_millis: 107.962, usercpu_time_millis_testing: 12.092, usercpu_time_millis_training: 95.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7549, kappa: 0.4977, kb_relative_information_score: 10693.5396, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.777, predictive_accuracy: 0.7649, prior_entropy: 0.9835, recall: 0.7649, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8498, scimark_benchmark: 1837.132, usercpu_time_millis: 66.856, usercpu_time_millis_testing: 4.546, usercpu_time_millis_training: 62.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8666, kappa: 0.7266, kb_relative_information_score: 26493.012, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8665, predictive_accuracy: 0.8668, prior_entropy: 0.9835, recall: 0.8668, relative_absolute_error: 0.4429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6302, scimark_benchmark: 1818.3028, usercpu_time_millis: 496.33, usercpu_time_millis_testing: 13.079, usercpu_time_millis_training: 483.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8129, kappa: 0.6152, kb_relative_information_score: 19926.5733, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.815, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7379, scimark_benchmark: 1832.1165, usercpu_time_millis: 205.495, usercpu_time_millis_testing: 15.09, usercpu_time_millis_training: 190.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8819, kappa: 0.7581, kb_relative_information_score: 28403.0474, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8819, predictive_accuracy: 0.8821, prior_entropy: 0.9835, recall: 0.8821, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5963, scimark_benchmark: 1785.2758, usercpu_time_millis: 151.81, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 149.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7909, kappa: 0.5702, kb_relative_information_score: 18175.7275, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7919, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7742, scimark_benchmark: 1835.2001, usercpu_time_millis: 137.242, usercpu_time_millis_testing: 6.297, usercpu_time_millis_training: 130.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7905, kappa: 0.5689, kb_relative_information_score: 15886.0196, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7795, scimark_benchmark: 1834.2992, usercpu_time_millis: 98.062, usercpu_time_millis_testing: 7.667, usercpu_time_millis_training: 90.395,

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