OpenML
Supervised Classification on fbis.wc

Supervised Classification on fbis.wc

Task 3524 Supervised Classification fbis.wc 289 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.07, kb_relative_information_score: 1.126, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2288, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7246, kappa: 0.706, kb_relative_information_score: 1674.7742, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7268, predictive_accuracy: 0.741, prior_entropy: 3.5848, recall: 0.741, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.5338, kappa: 0.4605, kb_relative_information_score: 1202.0396, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6603, predictive_accuracy: 0.503, prior_entropy: 3.5848, recall: 0.503, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2417, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2106, kappa: 0.2034, kb_relative_information_score: 556.728, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1673, predictive_accuracy: 0.352, prior_entropy: 3.5848, recall: 0.352, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2761, root_relative_squared_error: 1.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.5391, kappa: 0.4729, kb_relative_information_score: 1199.3224, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5792, predictive_accuracy: 0.5229, prior_entropy: 3.5848, recall: 0.5229, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6378, kappa: 0.5731, kb_relative_information_score: 1498.0214, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7126, predictive_accuracy: 0.6119, prior_entropy: 3.5848, recall: 0.6119, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.722, kappa: 0.6899, kb_relative_information_score: 1674.1852, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7213, predictive_accuracy: 0.7247, prior_entropy: 3.5848, recall: 0.7247, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.177, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.7564, kappa: 0.7333, kb_relative_information_score: 1772.9123, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7562, predictive_accuracy: 0.7637, prior_entropy: 3.5848, recall: 0.7637, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6153, kappa: 0.5744, kb_relative_information_score: 1426.3337, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6384, predictive_accuracy: 0.6179, prior_entropy: 3.5848, recall: 0.6179, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8372, kappa: 0.8288, kb_relative_information_score: 1879.6771, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8515, predictive_accuracy: 0.8494, prior_entropy: 3.5848, recall: 0.8494, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5495, scimark_benchmark: 1744.7442, usercpu_time_millis: 621330, usercpu_time_millis_testing: 4080, usercpu_time_millis_training: 617250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6153, kappa: 0.5744, kb_relative_information_score: 1426.3337, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6384, predictive_accuracy: 0.6179, prior_entropy: 3.5848, recall: 0.6179, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9232, scimark_benchmark: 1813.6971, usercpu_time_millis: 30020, usercpu_time_millis_testing: 26840, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.524, kappa: 0.464, kb_relative_information_score: 1109.6315, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.545, predictive_accuracy: 0.5242, prior_entropy: 3.5848, recall: 0.5242, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.204, root_relative_squared_error: 0.8915, scimark_benchmark: 941.5597, usercpu_time_millis: 36140, usercpu_time_millis_testing: 33830, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.7341, kappa: 0.7115, kb_relative_information_score: 1713.6406, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.738, predictive_accuracy: 0.7454, prior_entropy: 3.5848, recall: 0.7454, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.6707, scimark_benchmark: 934.2008, usercpu_time_millis: 63510, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 62450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.118, kappa: 0.075, kb_relative_information_score: 173.9075, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7364, predictive_accuracy: 0.1015, prior_entropy: 3.5848, recall: 0.1015, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.325, root_relative_squared_error: 1.4205, usercpu_time_millis: 241.847, usercpu_time_millis_testing: 207.973, usercpu_time_millis_training: 33.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.679, kappa: 0.6938, kb_relative_information_score: 1546.0214, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6808, predictive_accuracy: 0.7312, prior_entropy: 3.5848, recall: 0.7312, relative_absolute_error: 0.5036, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.152, root_relative_squared_error: 0.6644, usercpu_time_millis: 12.818, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 12.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8405, kappa: 0.8322, kb_relative_information_score: 2001.1025, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8469, predictive_accuracy: 0.8518, prior_entropy: 3.5848, recall: 0.8518, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.132, root_relative_squared_error: 0.5771, usercpu_time_millis: 130205.919, usercpu_time_millis_testing: 130204.814, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.6589, kappa: 0.6051, kb_relative_information_score: 1448.0964, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7137, predictive_accuracy: 0.6504, prior_entropy: 3.5848, recall: 0.6504, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.8863, usercpu_time_millis: 3486.128, usercpu_time_millis_testing: 3.937, usercpu_time_millis_training: 3482.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.695, kappa: 0.6631, kb_relative_information_score: 1557.5352, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7585, predictive_accuracy: 0.7105, prior_entropy: 3.5848, recall: 0.7105, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.8066, usercpu_time_millis: 12827.346, usercpu_time_millis_testing: 3.271, usercpu_time_millis_training: 12824.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.6728, kappa: 0.6591, kb_relative_information_score: 1519.2387, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7676, predictive_accuracy: 0.7085, prior_entropy: 3.5848, recall: 0.7085, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.8094, usercpu_time_millis: 1731.67, usercpu_time_millis_testing: 52.332, usercpu_time_millis_training: 1679.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8221, kappa: 0.8141, kb_relative_information_score: 1935.2984, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.847, predictive_accuracy: 0.8372, prior_entropy: 3.5848, recall: 0.8372, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6049, usercpu_time_millis: 5131.582, usercpu_time_millis_testing: 4.554, usercpu_time_millis_training: 5127.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7915, kappa: 0.7728, kb_relative_information_score: 1862.3419, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.793, predictive_accuracy: 0.7994, prior_entropy: 3.5848, recall: 0.7994, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6714, usercpu_time_millis: 37.214, usercpu_time_millis_testing: 1.785, usercpu_time_millis_training: 35.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7901, kappa: 0.7585, kb_relative_information_score: 1859.5981, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8091, predictive_accuracy: 0.7852, prior_entropy: 3.5848, recall: 0.7852, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.159, root_relative_squared_error: 0.6947, usercpu_time_millis: 2301.317, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2301.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.6149, kappa: 0.5977, kb_relative_information_score: 1329.0687, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6184, predictive_accuracy: 0.646, prior_entropy: 3.5848, recall: 0.646, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.892, usercpu_time_millis: 4050.269, usercpu_time_millis_testing: 406.298, usercpu_time_millis_training: 3643.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.6649, kappa: 0.657, kb_relative_information_score: 1526.0653, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6655, predictive_accuracy: 0.7012, prior_entropy: 3.5848, recall: 0.7012, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.8195, usercpu_time_millis: 41.583, usercpu_time_millis_testing: 6.393, usercpu_time_millis_training: 35.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.0951, kappa: 0.0004, kb_relative_information_score: 241.5646, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0671, predictive_accuracy: 0.1961, prior_entropy: 3.5848, recall: 0.1961, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3075, root_relative_squared_error: 1.3441, usercpu_time_millis: 39.461, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 38.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.828, kappa: 0.8202, kb_relative_information_score: 1952.3504, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8512, predictive_accuracy: 0.8425, prior_entropy: 3.5848, recall: 0.8425, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.595, usercpu_time_millis: 321.079, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 317.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8249, kappa: 0.8168, kb_relative_information_score: 1940.8657, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8507, predictive_accuracy: 0.8396, prior_entropy: 3.5848, recall: 0.8396, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.6003, usercpu_time_millis: 1120.84, usercpu_time_millis_testing: 90.271, usercpu_time_millis_training: 1030.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7445, kappa: 0.7147, kb_relative_information_score: 1746.9996, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.744, predictive_accuracy: 0.7462, prior_entropy: 3.5848, recall: 0.7462, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.7551, usercpu_time_millis: 1117.453, usercpu_time_millis_testing: 45.343, usercpu_time_millis_training: 1072.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.2106, kappa: 0.2034, kb_relative_information_score: 556.728, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1673, predictive_accuracy: 0.352, prior_entropy: 3.5848, recall: 0.352, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2761, root_relative_squared_error: 1.2067, usercpu_time_millis: 314.539, usercpu_time_millis_testing: 47.396, usercpu_time_millis_training: 267.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.118, kappa: 0.075, kb_relative_information_score: 174.3012, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7364, predictive_accuracy: 0.1015, prior_entropy: 3.5848, recall: 0.1015, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.4209, usercpu_time_millis: 352.689, usercpu_time_millis_testing: 299, usercpu_time_millis_training: 53.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7376, kappa: 0.7098, kb_relative_information_score: 1715.939, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7538, predictive_accuracy: 0.745, prior_entropy: 3.5848, recall: 0.745, relative_absolute_error: 0.2864, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.7569, usercpu_time_millis: 3305.913, usercpu_time_millis_testing: 1132.818, usercpu_time_millis_training: 2173.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.6761, kappa: 0.6897, kb_relative_information_score: 1571.1303, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6776, predictive_accuracy: 0.7276, prior_entropy: 3.5848, recall: 0.7276, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.179, root_relative_squared_error: 0.7824, usercpu_time_millis: 14.987, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 14.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.6818, kappa: 0.6515, kb_relative_information_score: 1529.5517, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7654, predictive_accuracy: 0.702, prior_entropy: 3.5848, recall: 0.702, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.8183, usercpu_time_millis: 1339.102, usercpu_time_millis_testing: 264.083, usercpu_time_millis_training: 1075.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.3934, kappa: 0.3299, kb_relative_information_score: 887.5689, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.4737, predictive_accuracy: 0.3792, prior_entropy: 3.5848, recall: 0.3792, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2702, root_relative_squared_error: 1.1811, usercpu_time_millis: 1044.111, usercpu_time_millis_testing: 4.215, usercpu_time_millis_training: 1039.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7475, kappa: 0.7196, kb_relative_information_score: 1768.3966, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7483, predictive_accuracy: 0.7519, prior_entropy: 3.5848, recall: 0.7519, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.7466, usercpu_time_millis: 1475.048, usercpu_time_millis_testing: 52.668, usercpu_time_millis_training: 1422.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8417, kappa: 0.8237, kb_relative_information_score: 2012.6302, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8423, predictive_accuracy: 0.8437, prior_entropy: 3.5848, recall: 0.8437, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.5927, usercpu_time_millis: 90.045, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 89.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8471, kappa: 0.8297, kb_relative_information_score: 2022.6488, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8471, predictive_accuracy: 0.849, prior_entropy: 3.5848, recall: 0.849, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5826, usercpu_time_millis: 35.468, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 35.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.6637, kappa: 0.6073, kb_relative_information_score: 1444.1526, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7284, predictive_accuracy: 0.6504, prior_entropy: 3.5848, recall: 0.6504, relative_absolute_error: 0.3926, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.8863, usercpu_time_millis: 3988.42, usercpu_time_millis_testing: 4.823, usercpu_time_millis_training: 3983.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7263, kappa: 0.697, kb_relative_information_score: 1691.844, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7254, predictive_accuracy: 0.7312, prior_entropy: 3.5848, recall: 0.7312, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.7772, usercpu_time_millis: 581.537, usercpu_time_millis_testing: 48.626, usercpu_time_millis_training: 532.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.6441, kappa: 0.5965, kb_relative_information_score: 1491.4876, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6673, predictive_accuracy: 0.6387, prior_entropy: 3.5848, recall: 0.6387, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.9011, usercpu_time_millis: 168.913, usercpu_time_millis_testing: 167.861, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.6837, kappa: 0.6553, kb_relative_information_score: 1529.9152, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7572, predictive_accuracy: 0.7044, prior_entropy: 3.5848, recall: 0.7044, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.815, usercpu_time_millis: 1777.426, usercpu_time_millis_testing: 3.792, usercpu_time_millis_training: 1773.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.4435, kappa: 0.4501, kb_relative_information_score: 1056.5969, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.474, predictive_accuracy: 0.5408, prior_entropy: 3.5848, recall: 0.5408, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2324, root_relative_squared_error: 1.0158, usercpu_time_millis: 3040.086, usercpu_time_millis_testing: 1193.39, usercpu_time_millis_training: 1846.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.5391, kappa: 0.4729, kb_relative_information_score: 1199.3224, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5792, predictive_accuracy: 0.5229, prior_entropy: 3.5848, recall: 0.5229, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.0354, usercpu_time_millis: 659.638, usercpu_time_millis_testing: 104.322, usercpu_time_millis_training: 555.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.0976, kappa: -0.0001, kb_relative_information_score: 235.2578, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0668, predictive_accuracy: 0.1908, prior_entropy: 3.5848, recall: 0.1908, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3085, root_relative_squared_error: 1.3485, usercpu_time_millis: 47.372, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 46.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.3439, kappa: 0.386, kb_relative_information_score: 657.0981, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.2818, predictive_accuracy: 0.4921, prior_entropy: 3.5848, recall: 0.4921, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.8912, scimark_benchmark: 1006.797, usercpu_time_millis: 90100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 947.9534, usercpu_time_millis: 4390, usercpu_time_millis_training: 4390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.0847, kappa: -0.0007, kb_relative_information_score: 54.2035, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.063, predictive_accuracy: 0.1628, prior_entropy: 3.5848, recall: 0.1628, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2294, root_relative_squared_error: 1.0028, scimark_benchmark: 725.5716, usercpu_time_millis: 699600, usercpu_time_millis_testing: 29160, usercpu_time_millis_training: 670440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7068, kappa: 0.6811, kb_relative_information_score: 1747.5559, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.718, predictive_accuracy: 0.717, prior_entropy: 3.5848, recall: 0.717, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.7072, scimark_benchmark: 1111.6042, usercpu_time_millis: 68540, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 67320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.4958, kappa: 0.4373, kb_relative_information_score: 1256.8555, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5668, predictive_accuracy: 0.4929, prior_entropy: 3.5848, recall: 0.4929, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9197, scimark_benchmark: 1184.8441, usercpu_time_millis: 22410, usercpu_time_millis_testing: 22390, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7161, kappa: 0.6954, kb_relative_information_score: 1755.3053, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7227, predictive_accuracy: 0.7312, prior_entropy: 3.5848, recall: 0.7312, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.6553, scimark_benchmark: 1378.0189, usercpu_time_millis: 50320, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 49260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.7313, kappa: 0.7076, kb_relative_information_score: 1781.3963, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7322, predictive_accuracy: 0.7414, prior_entropy: 3.5848, recall: 0.7414, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.6584, scimark_benchmark: 504.0961, usercpu_time_millis: 65700, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 64490,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7275, kappa: 0.7044, kb_relative_information_score: 1702.9811, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.724, predictive_accuracy: 0.7389, prior_entropy: 3.5848, recall: 0.7389, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.6665, scimark_benchmark: 1134.7562, usercpu_time_millis: 62740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 62710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.4744, kappa: 0.4042, kb_relative_information_score: 1077.5575, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.626, predictive_accuracy: 0.4482, prior_entropy: 3.5848, recall: 0.4482, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2496, root_relative_squared_error: 1.0911, scimark_benchmark: 963.6384, usercpu_time_millis: 64900, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 64030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8169, kappa: 0.8048, kb_relative_information_score: 1884.2378, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8189, predictive_accuracy: 0.8279, prior_entropy: 3.5848, recall: 0.8279, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5619, scimark_benchmark: 435.8363, usercpu_time_millis: 84970, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 84250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6378, kappa: 0.5731, kb_relative_information_score: 1498.0214, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7126, predictive_accuracy: 0.6119, prior_entropy: 3.5848, recall: 0.6119, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8508, scimark_benchmark: 1332.2717, usercpu_time_millis: 51880, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 51090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7196, kappa: 0.6855, kb_relative_information_score: 1656.8793, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7206, predictive_accuracy: 0.7203, prior_entropy: 3.5848, recall: 0.7203, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.7888, scimark_benchmark: 1299.0713, usercpu_time_millis: 50740, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 49990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.5308, kappa: 0.4678, kb_relative_information_score: 1130.0416, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5849, predictive_accuracy: 0.5233, prior_entropy: 3.5848, recall: 0.5233, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.8551, scimark_benchmark: 1297.4519, usercpu_time_millis: 22790, usercpu_time_millis_testing: 22780, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.5183, kappa: 0.4522, kb_relative_information_score: 1207.6701, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5705, predictive_accuracy: 0.5087, prior_entropy: 3.5848, recall: 0.5087, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.8594, scimark_benchmark: 1269.5329, usercpu_time_millis: 23830, usercpu_time_millis_testing: 23820, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.7765, kappa: 0.7567, kb_relative_information_score: 454.622, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7845, predictive_accuracy: 0.786, prior_entropy: 3.5848, recall: 0.786, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.224, root_relative_squared_error: 0.979, scimark_benchmark: 463.3348, usercpu_time_millis: 12890, usercpu_time_millis_testing: 2880, usercpu_time_millis_training: 10010,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6153, kappa: 0.5744, kb_relative_information_score: 1426.3337, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6384, predictive_accuracy: 0.6179, prior_entropy: 3.5848, recall: 0.6179, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9232, scimark_benchmark: 1138.5121, usercpu_time_millis: 44040, usercpu_time_millis_testing: 41020, usercpu_time_millis_training: 3020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.7418, kappa: 0.7162, kb_relative_information_score: 1716.2426, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7416, predictive_accuracy: 0.7487, prior_entropy: 3.5848, recall: 0.7487, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.6957, scimark_benchmark: 1201.0993, usercpu_time_millis: 517440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 517420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.5338, kappa: 0.4605, kb_relative_information_score: 1202.0396, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6603, predictive_accuracy: 0.503, prior_entropy: 3.5848, recall: 0.503, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2417, root_relative_squared_error: 1.0562, scimark_benchmark: 1143.856, usercpu_time_millis: 77880, usercpu_time_millis_testing: 31240, usercpu_time_millis_training: 46640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.7411, kappa: 0.7264, kb_relative_information_score: 1443.3147, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8032, predictive_accuracy: 0.7633, prior_entropy: 3.5848, recall: 0.7633, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7065, scimark_benchmark: 1186.5776, usercpu_time_millis: 21230, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 20250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.7246, kappa: 0.706, kb_relative_information_score: 1674.7742, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7268, predictive_accuracy: 0.741, prior_entropy: 3.5848, recall: 0.741, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.6781, scimark_benchmark: 1109.2321, usercpu_time_millis: 19800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.5391, kappa: 0.4729, kb_relative_information_score: 1195.8151, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5792, predictive_accuracy: 0.5229, prior_entropy: 3.5848, recall: 0.5229, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.236, root_relative_squared_error: 1.0315, scimark_benchmark: 1052.701, usercpu_time_millis: 14020, usercpu_time_millis_testing: 14020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.7263, kappa: 0.697, kb_relative_information_score: 1700.3669, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7254, predictive_accuracy: 0.7312, prior_entropy: 3.5848, recall: 0.7312, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.7293, scimark_benchmark: 1102.6228, usercpu_time_millis: 108660, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 108590,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.6174, kappa: 0.6165, kb_relative_information_score: 1505.9081, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6211, predictive_accuracy: 0.6614, prior_entropy: 3.5848, recall: 0.6614, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 851.2074, usercpu_time_millis: 499970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 499960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.675, kappa: 0.6412, kb_relative_information_score: 1400.6438, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6718, predictive_accuracy: 0.6829, prior_entropy: 3.5848, recall: 0.6829, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.775, scimark_benchmark: 763.3895, usercpu_time_millis: 850404030, usercpu_time_millis_testing: 207920, usercpu_time_millis_training: 850196110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111, scimark_benchmark: 819.5729, usercpu_time_millis: 32520, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 31890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.6174, kappa: 0.6165, kb_relative_information_score: 1505.9081, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6211, predictive_accuracy: 0.6614, prior_entropy: 3.5848, recall: 0.6614, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 819.5729, usercpu_time_millis: 307630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 307620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8147, kappa: 0.7995, kb_relative_information_score: 1933.5388, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8175, predictive_accuracy: 0.823, prior_entropy: 3.5848, recall: 0.823, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.5496, scimark_benchmark: 939.682, usercpu_time_millis: 2892480, usercpu_time_millis_testing: 881190, usercpu_time_millis_training: 2011290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8124, kappa: 0.7972, kb_relative_information_score: 1926.6162, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8134, predictive_accuracy: 0.821, prior_entropy: 3.5848, recall: 0.821, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.5519, scimark_benchmark: 911.2316, usercpu_time_millis: 1431930, usercpu_time_millis_testing: 385960, usercpu_time_millis_training: 1045970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7928, kappa: 0.775, kb_relative_information_score: 1905.8474, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7929, predictive_accuracy: 0.8011, prior_entropy: 3.5848, recall: 0.8011, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1306, root_relative_squared_error: 0.5706, scimark_benchmark: 899.1108, usercpu_time_millis: 724750, usercpu_time_millis_testing: 192900, usercpu_time_millis_training: 531850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7387, kappa: 0.7095, kb_relative_information_score: 1694.7454, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7393, predictive_accuracy: 0.7434, prior_entropy: 3.5848, recall: 0.7434, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.6397, scimark_benchmark: 936.1714, usercpu_time_millis: 61950, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 61900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 936.1714, usercpu_time_millis: 3030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 935.6052, usercpu_time_millis: 3160, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431, scimark_benchmark: 935.6052, usercpu_time_millis: 3280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.07, kb_relative_information_score: 251.8171, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3057, root_relative_squared_error: 1.3362, scimark_benchmark: 938.3115, usercpu_time_millis: 550, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8212, kappa: 0.8048, kb_relative_information_score: 1929.8929, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8232, predictive_accuracy: 0.8279, prior_entropy: 3.5848, recall: 0.8279, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5463, scimark_benchmark: 926.5859, usercpu_time_millis: 1087970, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 1086960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7545, kappa: 0.7296, kb_relative_information_score: 1813.3657, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.753, predictive_accuracy: 0.7609, prior_entropy: 3.5848, recall: 0.7609, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.6241, scimark_benchmark: 940.0055, usercpu_time_millis: 5936920, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 5935490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.1987, kappa: 0.2039, kb_relative_information_score: 489.5584, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1413, predictive_accuracy: 0.3561, prior_entropy: 3.5848, recall: 0.3561, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9396, scimark_benchmark: 933.0918, usercpu_time_millis: 2530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111, scimark_benchmark: 907.1091, usercpu_time_millis: 28900, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 28390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.6174, kappa: 0.6165, kb_relative_information_score: 1505.9081, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6211, predictive_accuracy: 0.6614, prior_entropy: 3.5848, recall: 0.6614, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 936.9668, usercpu_time_millis: 850730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 850710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.5991, kappa: 0.548, kb_relative_information_score: 1346.551, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6013, predictive_accuracy: 0.5976, prior_entropy: 3.5848, recall: 0.5976, relative_absolute_error: 0.461, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.91, scimark_benchmark: 936.3952, usercpu_time_millis: 2475440, usercpu_time_millis_testing: 301140, usercpu_time_millis_training: 2174300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111, scimark_benchmark: 946.9304, usercpu_time_millis: 29400, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 28870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111, scimark_benchmark: 1331.4379, usercpu_time_millis: 25350, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 24900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.6174, kappa: 0.6165, kb_relative_information_score: 1505.9081, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6211, predictive_accuracy: 0.6614, prior_entropy: 3.5848, recall: 0.6614, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182, scimark_benchmark: 1347.1763, usercpu_time_millis: 237170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 237150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.1987, kappa: 0.2039, kb_relative_information_score: 497.518, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1413, predictive_accuracy: 0.3561, prior_entropy: 3.5848, recall: 0.3561, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9422, scimark_benchmark: 994.8259, usercpu_time_millis: 6624530, usercpu_time_millis_testing: 6624530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8669, kappa: 0.8531, kb_relative_information_score: 2114.3616, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8663, predictive_accuracy: 0.8697, prior_entropy: 3.5848, recall: 0.8697, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5078, scimark_benchmark: 1352.2099, usercpu_time_millis: 10280820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10280810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7198, kappa: 0.6893, kb_relative_information_score: 1678.78, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7216, predictive_accuracy: 0.7247, prior_entropy: 3.5848, recall: 0.7247, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.18, root_relative_squared_error: 0.7865, scimark_benchmark: 1360.6585, usercpu_time_millis: 37602400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 37602370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7198, kappa: 0.6893, kb_relative_information_score: 1678.78, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7216, predictive_accuracy: 0.7247, prior_entropy: 3.5848, recall: 0.7247, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.18, root_relative_squared_error: 0.7865, scimark_benchmark: 1284.2094, usercpu_time_millis: 37255790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 37255780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.7551, kappa: 0.7375, kb_relative_information_score: 1732.8913, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7639, predictive_accuracy: 0.7694, prior_entropy: 3.5848, recall: 0.7694, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6695, scimark_benchmark: 1327.2954, usercpu_time_millis: 130790, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7198, kappa: 0.6893, kb_relative_information_score: 1678.78, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7216, predictive_accuracy: 0.7247, prior_entropy: 3.5848, recall: 0.7247, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.18, root_relative_squared_error: 0.7865, scimark_benchmark: 1334.4761, usercpu_time_millis: 38675200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 38675180,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs