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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: 0.9625, f_measure: 0.8238, kappa: 0.8022, kb_relative_information_score: 1996.7033, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8242, predictive_accuracy: 0.8242, prior_entropy: 3.5848, recall: 0.8242, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.5714, scimark_benchmark: 1329.8902, usercpu_time_millis: 3671020, usercpu_time_millis_testing: 2970, usercpu_time_millis_training: 3668050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8076, kappa: 0.786, kb_relative_information_score: 1950.2235, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8077, predictive_accuracy: 0.8096, prior_entropy: 3.5848, recall: 0.8096, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.6183, scimark_benchmark: 892.0148, usercpu_time_millis: 2393370, usercpu_time_millis_testing: 127310, usercpu_time_millis_training: 2266060,
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: 1311.9814, usercpu_time_millis: 227640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 227630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7082, kappa: 0.6685, kb_relative_information_score: 1702.7182, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7297, predictive_accuracy: 0.702, prior_entropy: 3.5848, recall: 0.702, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.7894, scimark_benchmark: 1319.3046, usercpu_time_millis: 19230, usercpu_time_millis_testing: 13570, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.7895, kappa: 0.7822, kb_relative_information_score: 1746.0323, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8087, predictive_accuracy: 0.8092, prior_entropy: 3.5848, recall: 0.8092, relative_absolute_error: 0.4799, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6052, scimark_benchmark: 854.5188, usercpu_time_millis: 186000, usercpu_time_millis_testing: 3990, usercpu_time_millis_training: 182010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.7881, kappa: 0.7765, kb_relative_information_score: 1845.8176, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7974, predictive_accuracy: 0.8031, prior_entropy: 3.5848, recall: 0.8031, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.5793, scimark_benchmark: 1345.3152, usercpu_time_millis: 1526330, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1526070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8367, kappa: 0.8171, kb_relative_information_score: 2001.2895, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8366, predictive_accuracy: 0.8376, prior_entropy: 3.5848, recall: 0.8376, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.6041, scimark_benchmark: 1327.035, usercpu_time_millis: 1200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8273, kappa: 0.8135, kb_relative_information_score: 2016.9365, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8297, predictive_accuracy: 0.8356, prior_entropy: 3.5848, recall: 0.8356, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5567, scimark_benchmark: 1357.483, usercpu_time_millis: 1477230, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1477030,
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: 1360.2771, usercpu_time_millis: 2680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.7457, kappa: 0.7249, kb_relative_information_score: 1740.4309, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7493, predictive_accuracy: 0.7576, prior_entropy: 3.5848, recall: 0.7576, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.7068, scimark_benchmark: 1326.8946, usercpu_time_millis: 106470, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 106270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8016, kappa: 0.7967, kb_relative_information_score: 1755.7244, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8252, predictive_accuracy: 0.8218, prior_entropy: 3.5848, recall: 0.8218, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.5993, scimark_benchmark: 1339.8573, usercpu_time_millis: 308340, usercpu_time_millis_testing: 7960, usercpu_time_millis_training: 300380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.4288, kappa: 0.3452, kb_relative_information_score: 977.1488, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.615, predictive_accuracy: 0.3955, prior_entropy: 3.5848, recall: 0.3955, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.983, scimark_benchmark: 1349.9741, usercpu_time_millis: 9855060, usercpu_time_millis_testing: 9855060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8611, kappa: 0.8463, kb_relative_information_score: 2113.2366, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8605, predictive_accuracy: 0.8636, prior_entropy: 3.5848, recall: 0.8636, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.499, scimark_benchmark: 1354.686, usercpu_time_millis: 5686440, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5686420,
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: 1346.3935, usercpu_time_millis: 11380, usercpu_time_millis_testing: 11380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5709, kappa: 0.5403, kb_relative_information_score: 144.1809, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7087, predictive_accuracy: 0.6102, prior_entropy: 3.5848, recall: 0.6102, relative_absolute_error: 1.0561, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.0274, scimark_benchmark: 937.5996, usercpu_time_millis: 6170, usercpu_time_millis_testing: 5810, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.6351, kappa: 0.607, kb_relative_information_score: 1084.9324, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6766, predictive_accuracy: 0.6573, prior_entropy: 3.5848, recall: 0.6573, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.8014, scimark_benchmark: 1346.4887, usercpu_time_millis: 940710, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 940270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.2013, kappa: 0.2035, kb_relative_information_score: 495.4225, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1452, predictive_accuracy: 0.3565, prior_entropy: 3.5848, recall: 0.3565, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9411, scimark_benchmark: 1301.7387, usercpu_time_millis: 10390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10380,
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: 789.1062, usercpu_time_millis: 437070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 437050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.7985, kappa: 0.7924, kb_relative_information_score: 1756.1751, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8121, predictive_accuracy: 0.8181, prior_entropy: 3.5848, recall: 0.8181, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.5979, scimark_benchmark: 1328.8457, usercpu_time_millis: 1309510, usercpu_time_millis_testing: 27310, usercpu_time_millis_training: 1282200,
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: 1311.7039, usercpu_time_millis: 301070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 301060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.7988, kappa: 0.7928, kb_relative_information_score: 1757.6256, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8125, predictive_accuracy: 0.8185, prior_entropy: 3.5848, recall: 0.8185, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5976, scimark_benchmark: 1299.9482, usercpu_time_millis: 778620, usercpu_time_millis_testing: 13640, usercpu_time_millis_training: 764980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7925, kappa: 0.7811, kb_relative_information_score: 1847.8905, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8044, predictive_accuracy: 0.8071, prior_entropy: 3.5848, recall: 0.8071, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.5774, scimark_benchmark: 1301.2156, usercpu_time_millis: 2310950, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 2310460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8347, kappa: 0.8173, kb_relative_information_score: 2026.5319, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.834, predictive_accuracy: 0.838, prior_entropy: 3.5848, recall: 0.838, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.513, scimark_benchmark: 1307.3764, usercpu_time_millis: 1057030, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1057020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7196, kappa: 0.7095, kb_relative_information_score: 1665.2639, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7597, predictive_accuracy: 0.7487, prior_entropy: 3.5848, recall: 0.7487, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7515, scimark_benchmark: 1371.9645, usercpu_time_millis: 153980, usercpu_time_millis_testing: 56700, usercpu_time_millis_training: 97280,
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: 986.8456, usercpu_time_millis: 2057590, usercpu_time_millis_testing: 293260, usercpu_time_millis_training: 1764330,
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: 1339.7143, usercpu_time_millis: 23730, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 23260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.6087, kappa: 0.5674, kb_relative_information_score: 1408.5699, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6322, predictive_accuracy: 0.6114, prior_entropy: 3.5848, recall: 0.6114, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.932, scimark_benchmark: 1360.5374, usercpu_time_millis: 39410, usercpu_time_millis_testing: 35420, usercpu_time_millis_training: 3990,
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: 1339.944, usercpu_time_millis: 35990, usercpu_time_millis_testing: 33590, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.2696, kappa: 0.2759, kb_relative_information_score: 452.1613, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.2045, predictive_accuracy: 0.4048, prior_entropy: 3.5848, recall: 0.4048, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.9246, scimark_benchmark: 1334.8495, usercpu_time_millis: 328990, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 328490,
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, scimark_benchmark: 1352.1951, usercpu_time_millis: 1559010, usercpu_time_millis_testing: 1558630, usercpu_time_millis_training: 380,
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, scimark_benchmark: 1344.7246, usercpu_time_millis: 1340, usercpu_time_millis_testing: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.786, kappa: 0.7736, kb_relative_information_score: 1850.4852, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.792, predictive_accuracy: 0.8011, prior_entropy: 3.5848, recall: 0.8011, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.153, root_relative_squared_error: 0.6686, scimark_benchmark: 1329.0992, usercpu_time_millis: 109120, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 108560,
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: 1321.7236, usercpu_time_millis: 62800, usercpu_time_millis_testing: 28130, usercpu_time_millis_training: 34670,
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: 1345.1228, usercpu_time_millis: 217790, usercpu_time_millis_training: 217790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.7828, kappa: 0.7702, kb_relative_information_score: 1840.9576, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7875, predictive_accuracy: 0.7974, prior_entropy: 3.5848, recall: 0.7974, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.5823, scimark_benchmark: 1263.2205, usercpu_time_millis: 665080, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 664980,
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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: 945.6434, usercpu_time_millis: 3020, usercpu_time_millis_training: 3020,
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: 911.0478, usercpu_time_millis: 11903910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11903900,
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: 933.8635, usercpu_time_millis: 3240, usercpu_time_millis_training: 3240,
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: 939.7623, usercpu_time_millis: 3130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8611, kappa: 0.8463, kb_relative_information_score: 2113.2366, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8605, predictive_accuracy: 0.8636, prior_entropy: 3.5848, recall: 0.8636, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.499, scimark_benchmark: 911.0478, usercpu_time_millis: 5947720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5947710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8582, kappa: 0.8417, kb_relative_information_score: 2102.6965, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8581, predictive_accuracy: 0.8595, prior_entropy: 3.5848, recall: 0.8595, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.4954, scimark_benchmark: 897.6255, usercpu_time_millis: 3119140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3119130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8471, kappa: 0.8306, kb_relative_information_score: 2072.8428, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8465, predictive_accuracy: 0.8498, prior_entropy: 3.5848, recall: 0.8498, relative_absolute_error: 0.219, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.502, scimark_benchmark: 897.6255, usercpu_time_millis: 1558440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1558430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8347, kappa: 0.8173, kb_relative_information_score: 2026.5319, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.834, predictive_accuracy: 0.838, prior_entropy: 3.5848, recall: 0.838, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.513, scimark_benchmark: 923.3111, usercpu_time_millis: 780160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 780150,
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, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.6785, kappa: 0.6569, kb_relative_information_score: 1429.9564, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6997, predictive_accuracy: 0.7012, prior_entropy: 3.5848, recall: 0.7012, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.7331, scimark_benchmark: 902.4773, usercpu_time_millis: 3730, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8347, kappa: 0.8173, kb_relative_information_score: 2026.5319, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.834, predictive_accuracy: 0.838, prior_entropy: 3.5848, recall: 0.838, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.513, scimark_benchmark: 933.8635, usercpu_time_millis: 795520, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 795450,
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: 932.3943, usercpu_time_millis: 57040, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 56990,
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: 947.9494, usercpu_time_millis: 590, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 190,
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: 929.0255, usercpu_time_millis: 1067630, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 1066640,
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: 940.2922, usercpu_time_millis: 6239690, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 6238570,
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: 901.0726, usercpu_time_millis: 2810, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8268, kappa: 0.8121, kb_relative_information_score: 1977.2608, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8283, predictive_accuracy: 0.8339, prior_entropy: 3.5848, recall: 0.8339, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.6088, scimark_benchmark: 935.8986, usercpu_time_millis: 20075280, usercpu_time_millis_testing: 22210, usercpu_time_millis_training: 20053070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8243, kappa: 0.809, kb_relative_information_score: 1979.2131, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8252, predictive_accuracy: 0.8311, prior_entropy: 3.5848, recall: 0.8311, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.6054, scimark_benchmark: 939.2687, usercpu_time_millis: 4997500, usercpu_time_millis_testing: 5140, usercpu_time_millis_training: 4992360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.3536, kappa: 0.3534, kb_relative_information_score: 246.1107, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.478, predictive_accuracy: 0.4629, prior_entropy: 3.5848, recall: 0.4629, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9968, scimark_benchmark: 934.6252, usercpu_time_millis: 172760, usercpu_time_millis_testing: 155000, usercpu_time_millis_training: 17760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, build_cpu_time: 1616.2952, build_memory: 1006963472.2339, f_measure: 0.7792, kappa: 0.7642, kb_relative_information_score: 1875.5179, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7828, predictive_accuracy: 0.7921, prior_entropy: 3.5848, recall: 0.7921, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.5847, scimark_benchmark: 941.8765,

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