OpenML
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: 0.9553, f_measure: 0.8745, kappa: 0.6917, kb_relative_information_score: 15198.9824, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8742, predictive_accuracy: 0.8749, prior_entropy: 0.863, recall: 0.8749, relative_absolute_error: 0.5865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6854, scimark_benchmark: 1261.8604, usercpu_time_millis: 102.643, usercpu_time_millis_testing: 6.402, usercpu_time_millis_training: 96.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9583, kappa: 0.8974, kb_relative_information_score: 28022.4162, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4014, scimark_benchmark: 1261.6394, usercpu_time_millis: 2903.638, usercpu_time_millis_testing: 93.121, usercpu_time_millis_training: 2810.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 28793.5446, mean_absolute_error: 0.0714, 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: 0.175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3799, scimark_benchmark: 1256.9324, usercpu_time_millis: 4239.138, usercpu_time_millis_testing: 76.41, usercpu_time_millis_training: 4162.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29276.1598, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.3663, scimark_benchmark: 1275.2376, usercpu_time_millis: 9146.526, usercpu_time_millis_testing: 81.385, usercpu_time_millis_training: 9065.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 30233.8135, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332, scimark_benchmark: 1268.2503, usercpu_time_millis: 1191.892, usercpu_time_millis_testing: 17.937, usercpu_time_millis_training: 1173.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 29087.8934, mean_absolute_error: 0.0679, 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: 0.1664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3693, scimark_benchmark: 1275.1199, usercpu_time_millis: 2544.521, usercpu_time_millis_testing: 37.508, usercpu_time_millis_training: 2507.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9681, kappa: 0.9216, kb_relative_information_score: 29777.1408, mean_absolute_error: 0.0588, 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: 0.144, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3512, scimark_benchmark: 1276.2126, usercpu_time_millis: 7396.369, usercpu_time_millis_testing: 48.655, usercpu_time_millis_training: 7347.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9696, kappa: 0.9253, kb_relative_information_score: 30140.3985, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3357, scimark_benchmark: 1280.3717, usercpu_time_millis: 914.191, usercpu_time_millis_testing: 15.644, usercpu_time_millis_training: 898.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9478, kappa: 0.8704, kb_relative_information_score: 23567.4929, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.863, recall: 0.9485, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863, scimark_benchmark: 1275.4312, usercpu_time_millis: 1166.288, usercpu_time_millis_testing: 70.885, usercpu_time_millis_training: 1095.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8652, kappa: 0.6686, kb_relative_information_score: 15488.0235, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8649, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.687, scimark_benchmark: 1280.1891, usercpu_time_millis: 341.716, usercpu_time_millis_testing: 19.75, usercpu_time_millis_training: 321.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9185, kappa: 0.7954, kb_relative_information_score: 22491.8362, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9226, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5348, scimark_benchmark: 1261.5454, usercpu_time_millis: 311.145, usercpu_time_millis_testing: 13.392, usercpu_time_millis_training: 297.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9567, kappa: 0.8938, kb_relative_information_score: 27810.0502, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1276.1284, usercpu_time_millis: 5315.812, usercpu_time_millis_testing: 103.391, usercpu_time_millis_training: 5212.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9608, kappa: 0.9037, kb_relative_information_score: 28510.6039, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9609, prior_entropy: 0.863, recall: 0.9609, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3873, scimark_benchmark: 1267.2969, usercpu_time_millis: 5712.46, usercpu_time_millis_testing: 105.481, usercpu_time_millis_training: 5606.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9313, kappa: 0.8291, kb_relative_information_score: 24928.9911, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9322, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4966, scimark_benchmark: 1289.9071, usercpu_time_millis: 5775.678, usercpu_time_millis_testing: 60.727, usercpu_time_millis_training: 5714.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.961, kappa: 0.9043, kb_relative_information_score: 28389.6883, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.961, predictive_accuracy: 0.9611, prior_entropy: 0.863, recall: 0.9611, relative_absolute_error: 0.1886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875, scimark_benchmark: 1274.5824, usercpu_time_millis: 278.619, usercpu_time_millis_testing: 9.547, usercpu_time_millis_training: 269.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9487, kappa: 0.8741, kb_relative_information_score: 26852.1913, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4416, scimark_benchmark: 1292.4911, usercpu_time_millis: 4408.991, usercpu_time_millis_testing: 59.45, usercpu_time_millis_training: 4349.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9192, kappa: 0.7971, kb_relative_information_score: 24032.1719, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9234, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1290.7988, usercpu_time_millis: 2839.975, usercpu_time_millis_testing: 54.987, usercpu_time_millis_training: 2784.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 27599.3326, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.4201, scimark_benchmark: 1283.3576, usercpu_time_millis: 4238.012, usercpu_time_millis_testing: 39.375, usercpu_time_millis_training: 4198.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9572, kappa: 0.895, kb_relative_information_score: 28131.0874, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.4033, scimark_benchmark: 1297.7742, usercpu_time_millis: 5444.566, usercpu_time_millis_testing: 83.085, usercpu_time_millis_training: 5361.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29312.9023, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3601, scimark_benchmark: 1276.083, usercpu_time_millis: 1284.473, usercpu_time_millis_testing: 28.549, usercpu_time_millis_training: 1255.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9552, kappa: 0.8897, kb_relative_information_score: 27294.0058, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4178, scimark_benchmark: 1279.5465, usercpu_time_millis: 600.23, usercpu_time_millis_testing: 33.139, usercpu_time_millis_training: 567.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8886, kappa: 0.7172, kb_relative_information_score: 13049.4268, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8996, predictive_accuracy: 0.8946, prior_entropy: 0.863, recall: 0.8946, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.7167, scimark_benchmark: 1289.5137, usercpu_time_millis: 367.519, usercpu_time_millis_testing: 35.758, usercpu_time_millis_training: 331.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9515, kappa: 0.8808, kb_relative_information_score: 27113.6512, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9514, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.433, scimark_benchmark: 1292.2922, usercpu_time_millis: 1230.662, usercpu_time_millis_testing: 29.122, usercpu_time_millis_training: 1201.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9502, kappa: 0.8774, kb_relative_information_score: 26564.7324, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9505, prior_entropy: 0.863, recall: 0.9505, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.44, scimark_benchmark: 1291.7666, usercpu_time_millis: 747.955, usercpu_time_millis_testing: 25.059, usercpu_time_millis_training: 722.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9503, kappa: 0.8774, kb_relative_information_score: 26593.1825, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9506, prior_entropy: 0.863, recall: 0.9506, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4394, scimark_benchmark: 1228.0074, usercpu_time_millis: 4231.937, usercpu_time_millis_testing: 87.713, usercpu_time_millis_training: 4144.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9678, kappa: 0.9208, kb_relative_information_score: 29288.0741, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1292.7132, usercpu_time_millis: 1099.506, usercpu_time_millis_testing: 40.138, usercpu_time_millis_training: 1059.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 29386.016, mean_absolute_error: 0.0643, 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: 0.1575, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3589, scimark_benchmark: 1276.7999, usercpu_time_millis: 2566.181, usercpu_time_millis_testing: 39.258, usercpu_time_millis_training: 2526.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9613, kappa: 0.9049, kb_relative_information_score: 28403.2722, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3873, scimark_benchmark: 1276.0773, usercpu_time_millis: 1030.053, usercpu_time_millis_testing: 46.199, usercpu_time_millis_training: 983.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9666, kappa: 0.918, kb_relative_information_score: 29452.882, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3613, scimark_benchmark: 1291.6465, usercpu_time_millis: 341.595, usercpu_time_millis_testing: 5.347, usercpu_time_millis_training: 336.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9211, kappa: 0.8022, kb_relative_information_score: 23433.0584, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.234, root_relative_squared_error: 0.518, scimark_benchmark: 1260.7287, usercpu_time_millis: 1794.401, usercpu_time_millis_testing: 44.751, usercpu_time_millis_training: 1749.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9448, kappa: 0.8632, kb_relative_information_score: 24935.8271, mean_absolute_error: 0.124, 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: 0.304, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.4673, scimark_benchmark: 1287.4318, usercpu_time_millis: 355.44, usercpu_time_millis_testing: 19.659, usercpu_time_millis_training: 335.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28372.196, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3875, scimark_benchmark: 1286.1213, usercpu_time_millis: 1919.124, usercpu_time_millis_testing: 70.158, usercpu_time_millis_training: 1848.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9269, kappa: 0.8175, kb_relative_information_score: 24350.5825, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9285, prior_entropy: 0.863, recall: 0.9285, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.5033, scimark_benchmark: 1250.6209, usercpu_time_millis: 2992.884, usercpu_time_millis_testing: 55.454, usercpu_time_millis_training: 2937.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9632, kappa: 0.9096, kb_relative_information_score: 28955.6739, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9633, prior_entropy: 0.863, recall: 0.9633, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.3739, scimark_benchmark: 1290.3574, usercpu_time_millis: 109.732, usercpu_time_millis_testing: 5.489, usercpu_time_millis_training: 104.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9181, kappa: 0.7936, kb_relative_information_score: 18086.3418, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.924, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6082, scimark_benchmark: 1248.2302, usercpu_time_millis: 418.772, usercpu_time_millis_testing: 31.213, usercpu_time_millis_training: 387.559,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9364, kappa: 0.8423, kb_relative_information_score: 24818.458, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4877, scimark_benchmark: 1253.6407, usercpu_time_millis: 3182.579, usercpu_time_millis_testing: 70.695, usercpu_time_millis_training: 3111.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9639, kappa: 0.9111, kb_relative_information_score: 27833.4237, mean_absolute_error: 0.0877, 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: 0.2148, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831, scimark_benchmark: 1249.2522, usercpu_time_millis: 1359.495, usercpu_time_millis_testing: 72.886, usercpu_time_millis_training: 1286.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28428.9269, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3937, scimark_benchmark: 1255.6144, usercpu_time_millis: 2450.385, usercpu_time_millis_testing: 52.817, usercpu_time_millis_training: 2397.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 29325.3954, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532, scimark_benchmark: 1234.5611, usercpu_time_millis: 264.737, usercpu_time_millis_testing: 9.263, usercpu_time_millis_training: 255.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9359, kappa: 0.8413, kb_relative_information_score: 25238.8039, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.4854, scimark_benchmark: 1244.8162, usercpu_time_millis: 3023.711, usercpu_time_millis_testing: 47.954, usercpu_time_millis_training: 2975.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9593, kappa: 0.9, kb_relative_information_score: 28270.6362, mean_absolute_error: 0.0782, 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: 0.1916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3943, scimark_benchmark: 1247.6226, usercpu_time_millis: 2387.636, usercpu_time_millis_testing: 73.67, usercpu_time_millis_training: 2313.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9629, kappa: 0.9088, kb_relative_information_score: 28481.2626, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.963, prior_entropy: 0.863, recall: 0.963, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1257.4662, usercpu_time_millis: 3890.479, usercpu_time_millis_testing: 96.855, usercpu_time_millis_training: 3793.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9323, kappa: 0.8303, kb_relative_information_score: 19356.7744, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9344, prior_entropy: 0.863, recall: 0.9344, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5762, scimark_benchmark: 1254.1063, usercpu_time_millis: 1250.752, usercpu_time_millis_testing: 90.866, usercpu_time_millis_training: 1159.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9541, kappa: 0.8874, kb_relative_information_score: 27494.8405, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.4232, scimark_benchmark: 1262.9443, usercpu_time_millis: 5192.733, usercpu_time_millis_testing: 60.348, usercpu_time_millis_training: 5132.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9252, kappa: 0.8129, kb_relative_information_score: 24575.2729, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9278, predictive_accuracy: 0.9271, prior_entropy: 0.863, recall: 0.9271, relative_absolute_error: 0.3026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5045, scimark_benchmark: 1244.959, usercpu_time_millis: 1896.948, usercpu_time_millis_testing: 63.68, usercpu_time_millis_training: 1833.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.928, kappa: 0.8205, kb_relative_information_score: 24463.0986, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9297, predictive_accuracy: 0.9296, prior_entropy: 0.863, recall: 0.9296, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.5022, scimark_benchmark: 1235.9738, usercpu_time_millis: 1298.898, usercpu_time_millis_testing: 17.589, usercpu_time_millis_training: 1281.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 29832.6222, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3453, scimark_benchmark: 1263.2869, usercpu_time_millis: 2129.556, usercpu_time_millis_testing: 27.174, usercpu_time_millis_training: 2102.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29094.5059, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3676, scimark_benchmark: 1263.1495, usercpu_time_millis: 3491.095, usercpu_time_millis_testing: 74.297, usercpu_time_millis_training: 3416.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9575, kappa: 0.8955, kb_relative_information_score: 27654.5937, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.4077, scimark_benchmark: 1255.0121, usercpu_time_millis: 333.06, usercpu_time_millis_testing: 11.542, usercpu_time_millis_training: 321.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9185, kappa: 0.7952, kb_relative_information_score: 23364.0094, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9228, predictive_accuracy: 0.9211, prior_entropy: 0.863, recall: 0.9211, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5236, scimark_benchmark: 1229.8908, usercpu_time_millis: 193.575, usercpu_time_millis_testing: 7.219, usercpu_time_millis_training: 186.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9242, kappa: 0.8103, kb_relative_information_score: 23960.2636, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9268, predictive_accuracy: 0.9262, prior_entropy: 0.863, recall: 0.9262, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5097, scimark_benchmark: 1247.9738, usercpu_time_millis: 4161.086, usercpu_time_millis_testing: 69.221, usercpu_time_millis_training: 4091.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.939, kappa: 0.8488, kb_relative_information_score: 23569.1918, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4982, scimark_benchmark: 1233.4251, usercpu_time_millis: 1149.468, usercpu_time_millis_testing: 64.815, usercpu_time_millis_training: 1084.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9476, kappa: 0.8701, kb_relative_information_score: 23591.9553, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9484, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.3545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4859, scimark_benchmark: 1253.4641, usercpu_time_millis: 1091.866, usercpu_time_millis_testing: 59.231, usercpu_time_millis_training: 1032.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 29819.7147, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3466, scimark_benchmark: 1244.2653, usercpu_time_millis: 1938.389, usercpu_time_millis_testing: 18.475, usercpu_time_millis_training: 1919.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 27679.0965, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4158, scimark_benchmark: 1253.4252, usercpu_time_millis: 3457.343, usercpu_time_millis_testing: 46.879, usercpu_time_millis_training: 3410.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 29753.7791, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465, scimark_benchmark: 1242.255, usercpu_time_millis: 2545.461, usercpu_time_millis_testing: 32.113, usercpu_time_millis_training: 2513.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9548, kappa: 0.8882, kb_relative_information_score: 24964.0123, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4501, scimark_benchmark: 1251.8984, usercpu_time_millis: 406.091, usercpu_time_millis_testing: 30.159, usercpu_time_millis_training: 375.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.942, kappa: 0.8566, kb_relative_information_score: 25916.6864, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4628, scimark_benchmark: 1262.0011, usercpu_time_millis: 3606.406, usercpu_time_millis_testing: 67.806, usercpu_time_millis_training: 3538.6,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29566.2456, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1594, root_relative_squared_error: 0.3528, scimark_benchmark: 1241.3623, usercpu_time_millis: 5228.039, usercpu_time_millis_testing: 68.069, usercpu_time_millis_training: 5159.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9393, kappa: 0.8494, kb_relative_information_score: 25053.7512, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1251.7331, usercpu_time_millis: 467.977, usercpu_time_millis_testing: 18.763, usercpu_time_millis_training: 449.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9652, kappa: 0.9145, kb_relative_information_score: 29297.3763, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.3664, scimark_benchmark: 1252.8083, usercpu_time_millis: 420.399, usercpu_time_millis_testing: 5.309, usercpu_time_millis_training: 415.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 29294.9686, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611, scimark_benchmark: 1259.5138, usercpu_time_millis: 3775.715, usercpu_time_millis_testing: 59.856, usercpu_time_millis_training: 3715.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8969, kappa: 0.7387, kb_relative_information_score: 16024.049, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9072, predictive_accuracy: 0.9022, prior_entropy: 0.863, recall: 0.9022, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6549, scimark_benchmark: 1255.9407, usercpu_time_millis: 125.015, usercpu_time_millis_testing: 9.416, usercpu_time_millis_training: 115.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9598, kappa: 0.9011, kb_relative_information_score: 28098.9455, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9599, prior_entropy: 0.863, recall: 0.9599, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1243.9685, usercpu_time_millis: 3328.926, usercpu_time_millis_testing: 93.944, usercpu_time_millis_training: 3234.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9259, kappa: 0.815, kb_relative_information_score: 24552.088, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9275, predictive_accuracy: 0.9275, prior_entropy: 0.863, recall: 0.9275, relative_absolute_error: 0.3019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5081, scimark_benchmark: 1260.3459, usercpu_time_millis: 70.589, usercpu_time_millis_testing: 3.129, usercpu_time_millis_training: 67.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9554, kappa: 0.8907, kb_relative_information_score: 27924.2401, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1249.5598, usercpu_time_millis: 515.504, usercpu_time_millis_testing: 7.721, usercpu_time_millis_training: 507.783,

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

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