Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9588, kappa: 0.899, kb_relative_information_score: 28423.7199, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9588, prior_entropy: 0.863, recall: 0.9588, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3949, scimark_benchmark: 1216.1448, usercpu_time_millis: 10292.38, usercpu_time_millis_testing: 88.412, usercpu_time_millis_training: 10203.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9634, kappa: 0.9096, kb_relative_information_score: 26796.5257, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3997, scimark_benchmark: 1273.2631, usercpu_time_millis: 411.482, usercpu_time_millis_testing: 21.403, usercpu_time_millis_training: 390.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9566, kappa: 0.8934, kb_relative_information_score: 27681.3723, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9567, prior_entropy: 0.863, recall: 0.9567, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1294.1526, usercpu_time_millis: 4190.122, usercpu_time_millis_testing: 60.859, usercpu_time_millis_training: 4129.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9476, kappa: 0.8708, kb_relative_information_score: 26361.6666, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9475, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471, scimark_benchmark: 1287.2792, usercpu_time_millis: 1948.677, usercpu_time_millis_testing: 35.057, usercpu_time_millis_training: 1913.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9006, kappa: 0.7487, kb_relative_information_score: 14882.2326, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9086, predictive_accuracy: 0.9051, prior_entropy: 0.863, recall: 0.9051, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6792, scimark_benchmark: 1241.0623, usercpu_time_millis: 631.859, usercpu_time_millis_testing: 43.248, usercpu_time_millis_training: 588.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9287, kappa: 0.8223, kb_relative_information_score: 24273.8576, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.227, root_relative_squared_error: 0.5025, scimark_benchmark: 1241.6439, usercpu_time_millis: 1328.472, usercpu_time_millis_testing: 45.334, usercpu_time_millis_training: 1283.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9377, kappa: 0.8452, kb_relative_information_score: 22520.3452, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9384, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5181, scimark_benchmark: 1297.4811, usercpu_time_millis: 1202.822, usercpu_time_millis_testing: 62.898, usercpu_time_millis_training: 1139.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9473, kappa: 0.8703, kb_relative_information_score: 26494.1826, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9473, predictive_accuracy: 0.9476, prior_entropy: 0.863, recall: 0.9476, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4468, scimark_benchmark: 1292.7763, usercpu_time_millis: 3914.88, usercpu_time_millis_testing: 82.648, usercpu_time_millis_training: 3832.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.916, kappa: 0.7894, kb_relative_information_score: 21465.2406, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9194, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.5554, scimark_benchmark: 1240.5909, usercpu_time_millis: 319.628, usercpu_time_millis_testing: 12.896, usercpu_time_millis_training: 306.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 28837.4029, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.1732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3787, scimark_benchmark: 1214.6293, usercpu_time_millis: 8029.683, usercpu_time_millis_testing: 99.012, usercpu_time_millis_training: 7930.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9595, kappa: 0.9003, kb_relative_information_score: 27717.5096, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3983, scimark_benchmark: 1267.226, usercpu_time_millis: 1182.763, usercpu_time_millis_testing: 41.275, usercpu_time_millis_training: 1141.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9358, kappa: 0.8408, kb_relative_information_score: 25226.3778, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9361, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4855, scimark_benchmark: 1221.4483, usercpu_time_millis: 3906.926, usercpu_time_millis_testing: 82.731, usercpu_time_millis_training: 3824.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9625, kappa: 0.9078, kb_relative_information_score: 28889.2463, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3794, scimark_benchmark: 1233.4089, usercpu_time_millis: 9231.851, usercpu_time_millis_testing: 91.725, usercpu_time_millis_training: 9140.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9228, kappa: 0.809, kb_relative_information_score: 23974.6167, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9236, prior_entropy: 0.863, recall: 0.9236, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5295, scimark_benchmark: 1265.6954, usercpu_time_millis: 34.549, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 31.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9562, kappa: 0.8917, kb_relative_information_score: 26100.3452, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4304, scimark_benchmark: 1205.3066, usercpu_time_millis: 1805.659, usercpu_time_millis_testing: 92.965, usercpu_time_millis_training: 1712.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9395, kappa: 0.8494, kb_relative_information_score: 21198.54, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5419, scimark_benchmark: 1295.8671, usercpu_time_millis: 1202.825, usercpu_time_millis_testing: 75.463, usercpu_time_millis_training: 1127.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9568, kappa: 0.8936, kb_relative_information_score: 27205.0614, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4122, scimark_benchmark: 1295.4917, usercpu_time_millis: 1793.894, usercpu_time_millis_testing: 62.832, usercpu_time_millis_training: 1731.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9477, kappa: 0.8714, kb_relative_information_score: 26828.7696, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9476, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4443, scimark_benchmark: 1231.3921, usercpu_time_millis: 241.223, usercpu_time_millis_testing: 7.852, usercpu_time_millis_training: 233.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9671, kappa: 0.9189, kb_relative_information_score: 28372.2805, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.367, scimark_benchmark: 1285.6408, usercpu_time_millis: 716.854, usercpu_time_millis_testing: 32.857, usercpu_time_millis_training: 683.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9367, kappa: 0.8432, kb_relative_information_score: 25370.765, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4816, scimark_benchmark: 1235.7216, usercpu_time_millis: 534.193, usercpu_time_millis_testing: 12.655, usercpu_time_millis_training: 521.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.925, kappa: 0.813, kb_relative_information_score: 21251.3167, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9267, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5507, scimark_benchmark: 1242.3829, usercpu_time_millis: 640.19, usercpu_time_millis_testing: 28.349, usercpu_time_millis_training: 611.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.932, kappa: 0.8308, kb_relative_information_score: 24509.835, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9331, prior_entropy: 0.863, recall: 0.9331, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4971, scimark_benchmark: 1207.4274, usercpu_time_millis: 779.474, usercpu_time_millis_testing: 18.971, usercpu_time_millis_training: 760.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9607, kappa: 0.9035, kb_relative_information_score: 28478.7081, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.3885, scimark_benchmark: 1283.0284, usercpu_time_millis: 4449.39, usercpu_time_millis_testing: 83.466, usercpu_time_millis_training: 4365.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 29735.4105, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3459, scimark_benchmark: 1263.7781, usercpu_time_millis: 3172.653, usercpu_time_millis_testing: 48.735, usercpu_time_millis_training: 3123.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9593, kappa: 0.8999, kb_relative_information_score: 28249.793, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957, scimark_benchmark: 1288.1024, usercpu_time_millis: 2342.166, usercpu_time_millis_testing: 88.159, usercpu_time_millis_training: 2254.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 28648.7619, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3823, scimark_benchmark: 1294.1082, usercpu_time_millis: 6987.768, usercpu_time_millis_testing: 98.075, usercpu_time_millis_training: 6889.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9434, kappa: 0.8597, kb_relative_information_score: 24029.038, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9441, prior_entropy: 0.863, recall: 0.9441, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4851, scimark_benchmark: 1280.8327, usercpu_time_millis: 1305.433, usercpu_time_millis_testing: 77.407, usercpu_time_millis_training: 1228.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9547, kappa: 0.8888, kb_relative_information_score: 28660.4145, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4057, scimark_benchmark: 1295.2346, usercpu_time_millis: 14752.392, usercpu_time_millis_testing: 16.467, usercpu_time_millis_training: 14735.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9329, kappa: 0.8331, kb_relative_information_score: 23675.1739, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.934, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5047, scimark_benchmark: 1241.3996, usercpu_time_millis: 719.437, usercpu_time_millis_testing: 37.753, usercpu_time_millis_training: 681.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9461, kappa: 0.8671, kb_relative_information_score: 26339.554, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4502, scimark_benchmark: 1246.6288, usercpu_time_millis: 2630.986, usercpu_time_millis_testing: 58.932, usercpu_time_millis_training: 2572.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9619, kappa: 0.906, kb_relative_information_score: 27510.5064, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9619, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3926, scimark_benchmark: 1265.6572, usercpu_time_millis: 175.328, usercpu_time_millis_testing: 10.533, usercpu_time_millis_training: 164.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 29219.36, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3595, scimark_benchmark: 1290.852, usercpu_time_millis: 1292.683, usercpu_time_millis_testing: 33.714, usercpu_time_millis_training: 1258.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9528, kappa: 0.884, kb_relative_information_score: 27038.6149, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9527, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.2296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1246.3255, usercpu_time_millis: 1531.462, usercpu_time_millis_testing: 40.017, usercpu_time_millis_training: 1491.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9698, kappa: 0.9258, kb_relative_information_score: 30140.5199, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1329, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3365, scimark_benchmark: 1238.2821, usercpu_time_millis: 485.548, usercpu_time_millis_testing: 9.288, usercpu_time_millis_training: 476.26,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9454, kappa: 0.866, kb_relative_information_score: 27771.1296, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9453, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392, scimark_benchmark: 1254.0378, usercpu_time_millis: 7059.154, usercpu_time_millis_testing: 0.796, usercpu_time_millis_training: 7058.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9308, kappa: 0.8276, kb_relative_information_score: 19578.4345, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9321, predictive_accuracy: 0.9321, prior_entropy: 0.863, recall: 0.9321, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5785, scimark_benchmark: 1234.0794, usercpu_time_millis: 502.657, usercpu_time_millis_testing: 29.1, usercpu_time_millis_training: 473.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9524, kappa: 0.8825, kb_relative_information_score: 26596.2895, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4314, scimark_benchmark: 1262.4915, usercpu_time_millis: 377.184, usercpu_time_millis_testing: 12.832, usercpu_time_millis_training: 364.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9453, kappa: 0.8651, kb_relative_information_score: 26392.2508, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4519, scimark_benchmark: 1270.4074, usercpu_time_millis: 1452.903, usercpu_time_millis_testing: 45.945, usercpu_time_millis_training: 1406.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9519, kappa: 0.8813, kb_relative_information_score: 26483.2474, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9522, prior_entropy: 0.863, recall: 0.9522, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4345, scimark_benchmark: 1235.6239, usercpu_time_millis: 559.615, usercpu_time_millis_testing: 22.19, usercpu_time_millis_training: 537.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9677, kappa: 0.9209, kb_relative_information_score: 29577.1167, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3519, scimark_benchmark: 1244.8777, usercpu_time_millis: 5118.403, usercpu_time_millis_testing: 76.393, usercpu_time_millis_training: 5042.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9509, kappa: 0.8788, kb_relative_information_score: 26233.6185, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.951, predictive_accuracy: 0.9513, prior_entropy: 0.863, recall: 0.9513, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1243.7758, usercpu_time_millis: 3079.903, usercpu_time_millis_testing: 90.971, usercpu_time_millis_training: 2988.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9565, kappa: 0.8927, kb_relative_information_score: 26498.2596, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.2571, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211, scimark_benchmark: 1257.6389, usercpu_time_millis: 155.73, usercpu_time_millis_testing: 10.349, usercpu_time_millis_training: 145.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29390.0842, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3554, scimark_benchmark: 1272.021, usercpu_time_millis: 2613.408, usercpu_time_millis_testing: 68.582, usercpu_time_millis_training: 2544.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9607, kappa: 0.9033, kb_relative_information_score: 28109.3795, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9606, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3891, scimark_benchmark: 1251.6623, usercpu_time_millis: 564.85, usercpu_time_millis_testing: 31.168, usercpu_time_millis_training: 533.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.954, kappa: 0.8865, kb_relative_information_score: 26732.6402, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9543, prior_entropy: 0.863, recall: 0.9543, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.4253, scimark_benchmark: 1265.2094, usercpu_time_millis: 531.415, usercpu_time_millis_testing: 20.651, usercpu_time_millis_training: 510.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9681, kappa: 0.9217, kb_relative_information_score: 29788.3645, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3476, scimark_benchmark: 1235.571, usercpu_time_millis: 1428.534, usercpu_time_millis_testing: 18.127, usercpu_time_millis_training: 1410.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 29630.1812, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3501, scimark_benchmark: 1285.7077, usercpu_time_millis: 459.338, usercpu_time_millis_testing: 9.418, usercpu_time_millis_training: 449.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9384, kappa: 0.8485, kb_relative_information_score: 25685.85, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4764, scimark_benchmark: 1260.644, usercpu_time_millis: 1165.764, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 1164.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9371, kappa: 0.844, kb_relative_information_score: 25105.9239, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4822, scimark_benchmark: 1265.6868, usercpu_time_millis: 710.602, usercpu_time_millis_testing: 26.059, usercpu_time_millis_training: 684.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 28828.946, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3722, scimark_benchmark: 1271.2064, usercpu_time_millis: 361.585, usercpu_time_millis_testing: 13.776, usercpu_time_millis_training: 347.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9447, kappa: 0.863, kb_relative_information_score: 24860.478, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9451, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4688, scimark_benchmark: 1254.6076, usercpu_time_millis: 1180.258, usercpu_time_millis_testing: 43.377, usercpu_time_millis_training: 1136.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9674, kappa: 0.92, kb_relative_information_score: 29467.5716, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3541, scimark_benchmark: 1260.6686, usercpu_time_millis: 3377.697, usercpu_time_millis_testing: 64.285, usercpu_time_millis_training: 3313.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9443, kappa: 0.8624, kb_relative_information_score: 26133.4722, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9447, prior_entropy: 0.863, recall: 0.9447, relative_absolute_error: 0.2575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4556, scimark_benchmark: 1267.3443, usercpu_time_millis: 1256.334, usercpu_time_millis_testing: 51.517, usercpu_time_millis_training: 1204.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9515, kappa: 0.8804, kb_relative_information_score: 26676.5572, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9518, prior_entropy: 0.863, recall: 0.9518, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4334, scimark_benchmark: 1250.0569, usercpu_time_millis: 1728.904, usercpu_time_millis_testing: 74.453, usercpu_time_millis_training: 1654.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9661, kappa: 0.9166, kb_relative_information_score: 28970.2336, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.3627, scimark_benchmark: 1243.4662, usercpu_time_millis: 1662.406, usercpu_time_millis_testing: 59.677, usercpu_time_millis_training: 1602.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29071.4995, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1240.6072, usercpu_time_millis: 3737.807, usercpu_time_millis_testing: 57.94, usercpu_time_millis_training: 3679.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9351, kappa: 0.839, kb_relative_information_score: 25285.8894, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.491, scimark_benchmark: 1250.5653, usercpu_time_millis: 2435.977, usercpu_time_millis_testing: 21.376, usercpu_time_millis_training: 2414.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9463, kappa: 0.8669, kb_relative_information_score: 24806.3436, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9466, predictive_accuracy: 0.9469, prior_entropy: 0.863, recall: 0.9469, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4672, scimark_benchmark: 1261.9451, usercpu_time_millis: 1293.64, usercpu_time_millis_testing: 92.05, usercpu_time_millis_training: 1201.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28701.2365, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.3787, scimark_benchmark: 1252.4953, usercpu_time_millis: 3127.408, usercpu_time_millis_testing: 51.49, usercpu_time_millis_training: 3075.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9417, kappa: 0.8557, kb_relative_information_score: 25268.8044, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9424, prior_entropy: 0.863, recall: 0.9424, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4678, scimark_benchmark: 1229.0089, usercpu_time_millis: 2002.23, usercpu_time_millis_testing: 70.328, usercpu_time_millis_training: 1931.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9542, kappa: 0.8874, kb_relative_information_score: 27113.8443, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4247, scimark_benchmark: 1266.4133, usercpu_time_millis: 1337.602, usercpu_time_millis_testing: 26.485, usercpu_time_millis_training: 1311.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9403, kappa: 0.8521, kb_relative_information_score: 25161.4139, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.941, prior_entropy: 0.863, recall: 0.941, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4725, scimark_benchmark: 1240.7513, usercpu_time_millis: 1727.042, usercpu_time_millis_testing: 59.925, usercpu_time_millis_training: 1667.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.956, kappa: 0.8911, kb_relative_information_score: 25450.3846, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4396, scimark_benchmark: 1253.572, usercpu_time_millis: 91.514, usercpu_time_millis_testing: 8.114, usercpu_time_millis_training: 83.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28325.4629, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1223.3421, usercpu_time_millis: 11227.606, usercpu_time_millis_testing: 91.45, usercpu_time_millis_training: 11136.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29311.1235, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9664, prior_entropy: 0.863, recall: 0.9664, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3594, scimark_benchmark: 1249.0628, usercpu_time_millis: 3870.947, usercpu_time_millis_testing: 51.854, usercpu_time_millis_training: 3819.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9365, kappa: 0.8428, kb_relative_information_score: 25358.3001, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.482, scimark_benchmark: 1246.7822, usercpu_time_millis: 1924.701, usercpu_time_millis_testing: 44.453, usercpu_time_millis_training: 1880.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 29689.7092, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3475, scimark_benchmark: 1251.9924, usercpu_time_millis: 2544.814, usercpu_time_millis_testing: 50.21, usercpu_time_millis_training: 2494.604,

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