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: 0.9891, f_measure: 0.9474, kappa: 0.8695, kb_relative_information_score: 23441.1868, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9481, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4897, scimark_benchmark: 1267.8205, usercpu_time_millis: 956.559, usercpu_time_millis_testing: 50.622, usercpu_time_millis_training: 905.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9403, kappa: 0.8517, kb_relative_information_score: 23237.609, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9409, predictive_accuracy: 0.9411, prior_entropy: 0.863, recall: 0.9411, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.5029, scimark_benchmark: 1271.0228, usercpu_time_millis: 372.844, usercpu_time_millis_testing: 17.346, usercpu_time_millis_training: 355.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9217, kappa: 0.8031, kb_relative_information_score: 18466.4629, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9271, predictive_accuracy: 0.9245, prior_entropy: 0.863, recall: 0.9245, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5982, scimark_benchmark: 1271.8728, usercpu_time_millis: 226.482, usercpu_time_millis_testing: 16.739, usercpu_time_millis_training: 209.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9595, kappa: 0.9002, kb_relative_information_score: 27042.9192, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9597, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.4054, scimark_benchmark: 1266.6512, usercpu_time_millis: 797.221, usercpu_time_millis_testing: 41.771, usercpu_time_millis_training: 755.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9441, kappa: 0.8628, kb_relative_information_score: 27223.3829, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478, scimark_benchmark: 1299.0612, usercpu_time_millis: 5672.906, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 5671.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 28615.8115, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3796, scimark_benchmark: 1211.6173, usercpu_time_millis: 202.1, usercpu_time_millis_testing: 8.078, usercpu_time_millis_training: 194.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.928, kappa: 0.8192, kb_relative_information_score: 19055.9148, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9302, prior_entropy: 0.863, recall: 0.9302, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5847, scimark_benchmark: 1259.461, usercpu_time_millis: 465.243, usercpu_time_millis_testing: 33.769, usercpu_time_millis_training: 431.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29648.4167, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.351, scimark_benchmark: 1230.5877, usercpu_time_millis: 4599.871, usercpu_time_millis_testing: 70.855, usercpu_time_millis_training: 4529.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9619, kappa: 0.9062, kb_relative_information_score: 28204.6071, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3845, scimark_benchmark: 1265.72, usercpu_time_millis: 307.886, usercpu_time_millis_testing: 11.029, usercpu_time_millis_training: 296.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9227, kappa: 0.8063, kb_relative_information_score: 24429.5903, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.9249, prior_entropy: 0.863, recall: 0.9249, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1237.2161, usercpu_time_millis: 7277.576, usercpu_time_millis_testing: 75.921, usercpu_time_millis_training: 7201.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8735, kappa: 0.691, kb_relative_information_score: 17739.4847, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.874, predictive_accuracy: 0.8731, prior_entropy: 0.863, recall: 0.8731, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.6524, scimark_benchmark: 1247.3672, usercpu_time_millis: 1840.539, usercpu_time_millis_testing: 58.943, usercpu_time_millis_training: 1781.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9661, kappa: 0.9169, kb_relative_information_score: 29406.2659, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9662, prior_entropy: 0.863, recall: 0.9662, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611, scimark_benchmark: 1285.6872, usercpu_time_millis: 5192.971, usercpu_time_millis_testing: 58.928, usercpu_time_millis_training: 5134.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9555, kappa: 0.8908, kb_relative_information_score: 27770.9713, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124, scimark_benchmark: 1231.6995, usercpu_time_millis: 418.624, usercpu_time_millis_testing: 13.995, usercpu_time_millis_training: 404.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.94, kappa: 0.8527, kb_relative_information_score: 27011.1044, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9399, predictive_accuracy: 0.9401, prior_entropy: 0.863, recall: 0.9401, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4618, scimark_benchmark: 1277.4543, usercpu_time_millis: 5349.339, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 5348.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9671, kappa: 0.9192, kb_relative_information_score: 29040.5911, mean_absolute_error: 0.07, 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: 0.1716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3592, scimark_benchmark: 1266.4629, usercpu_time_millis: 800.712, usercpu_time_millis_testing: 31.862, usercpu_time_millis_training: 768.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9448, kappa: 0.8632, kb_relative_information_score: 24846.5927, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9455, prior_entropy: 0.863, recall: 0.9455, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4692, scimark_benchmark: 1269.9843, usercpu_time_millis: 2390.073, usercpu_time_millis_testing: 83.23, usercpu_time_millis_training: 2306.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9372, kappa: 0.8447, kb_relative_information_score: 25521.5315, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9374, predictive_accuracy: 0.9379, prior_entropy: 0.863, recall: 0.9379, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4801, scimark_benchmark: 1221.4819, usercpu_time_millis: 3937.499, usercpu_time_millis_testing: 56.073, usercpu_time_millis_training: 3881.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 29739.12, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507, scimark_benchmark: 1281.85, usercpu_time_millis: 10587.666, usercpu_time_millis_testing: 61.643, usercpu_time_millis_training: 10526.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.933, kappa: 0.8338, kb_relative_information_score: 25042.4398, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9336, predictive_accuracy: 0.934, prior_entropy: 0.863, recall: 0.934, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.4927, scimark_benchmark: 1235.8081, usercpu_time_millis: 1348.209, usercpu_time_millis_testing: 22.195, usercpu_time_millis_training: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9261, kappa: 0.8142, kb_relative_information_score: 18842.3189, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9312, predictive_accuracy: 0.9286, prior_entropy: 0.863, recall: 0.9286, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.5893, scimark_benchmark: 1224.8701, usercpu_time_millis: 660.665, usercpu_time_millis_testing: 50.325, usercpu_time_millis_training: 610.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9218, kappa: 0.8038, kb_relative_information_score: 24051.3192, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9241, prior_entropy: 0.863, recall: 0.9241, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5109, scimark_benchmark: 1238.2319, usercpu_time_millis: 2423.284, usercpu_time_millis_testing: 44.299, usercpu_time_millis_training: 2378.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29146.2863, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3981, scimark_benchmark: 1283.3148, usercpu_time_millis: 8843.318, usercpu_time_millis_testing: 82.941, usercpu_time_millis_training: 8760.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.948, kappa: 0.8718, kb_relative_information_score: 26652.0652, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, scimark_benchmark: 1245.6035, usercpu_time_millis: 11121.547, usercpu_time_millis_testing: 42.731, usercpu_time_millis_training: 11078.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9621, kappa: 0.9071, kb_relative_information_score: 28823.0577, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.3806, scimark_benchmark: 1249.5444, usercpu_time_millis: 1200.709, usercpu_time_millis_testing: 16.216, usercpu_time_millis_training: 1184.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9169, kappa: 0.7906, kb_relative_information_score: 18034.3474, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9231, predictive_accuracy: 0.9201, prior_entropy: 0.863, recall: 0.9201, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.6093, scimark_benchmark: 1293.3474, usercpu_time_millis: 229.5, usercpu_time_millis_testing: 16.111, usercpu_time_millis_training: 213.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9393, kappa: 0.8498, kb_relative_information_score: 25707.2632, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9394, predictive_accuracy: 0.9399, prior_entropy: 0.863, recall: 0.9399, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4709, scimark_benchmark: 1217.9083, usercpu_time_millis: 2013.043, usercpu_time_millis_testing: 48.974, usercpu_time_millis_training: 1964.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 28521.3627, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3745, scimark_benchmark: 1295.9006, usercpu_time_millis: 816.649, usercpu_time_millis_testing: 40.799, usercpu_time_millis_training: 775.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8731, kappa: 0.6899, kb_relative_information_score: 17888.971, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8735, predictive_accuracy: 0.8727, prior_entropy: 0.863, recall: 0.8727, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.294, root_relative_squared_error: 0.6508, scimark_benchmark: 1238.0766, usercpu_time_millis: 1091.804, usercpu_time_millis_testing: 38.859, usercpu_time_millis_training: 1052.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9387, kappa: 0.8484, kb_relative_information_score: 25931.1208, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9388, predictive_accuracy: 0.9393, prior_entropy: 0.863, recall: 0.9393, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4701, scimark_benchmark: 1235.5294, usercpu_time_millis: 2000.506, usercpu_time_millis_testing: 51.799, usercpu_time_millis_training: 1948.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9357, kappa: 0.8402, kb_relative_information_score: 22687.3672, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5166, scimark_benchmark: 1290.4756, usercpu_time_millis: 460.849, usercpu_time_millis_testing: 26.225, usercpu_time_millis_training: 434.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9564, kappa: 0.893, kb_relative_information_score: 28048.5974, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4066, scimark_benchmark: 1226.9458, usercpu_time_millis: 8316.548, usercpu_time_millis_testing: 65.158, usercpu_time_millis_training: 8251.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.914, kappa: 0.7832, kb_relative_information_score: 17791.888, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9208, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.6151, scimark_benchmark: 1291.0155, usercpu_time_millis: 277.868, usercpu_time_millis_testing: 22.231, usercpu_time_millis_training: 255.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9277, kappa: 0.8185, kb_relative_information_score: 18959.6754, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9301, prior_entropy: 0.863, recall: 0.9301, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5863, scimark_benchmark: 1288.597, usercpu_time_millis: 1297.425, usercpu_time_millis_testing: 85.847, usercpu_time_millis_training: 1211.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29365.5605, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3603, scimark_benchmark: 1270.1891, usercpu_time_millis: 882.094, usercpu_time_millis_testing: 16.722, usercpu_time_millis_training: 865.372,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9493, kappa: 0.8754, kb_relative_information_score: 26972.3344, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9492, predictive_accuracy: 0.9493, prior_entropy: 0.863, recall: 0.9493, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.4407, scimark_benchmark: 1244.0646, usercpu_time_millis: 1138.008, usercpu_time_millis_testing: 16.284, usercpu_time_millis_training: 1121.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9181, kappa: 0.7942, kb_relative_information_score: 23876.394, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9227, predictive_accuracy: 0.9208, prior_entropy: 0.863, recall: 0.9208, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5166, scimark_benchmark: 1246.7106, usercpu_time_millis: 1387.808, usercpu_time_millis_testing: 26.908, usercpu_time_millis_training: 1360.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9672, kappa: 0.9195, kb_relative_information_score: 29373.4972, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.3552, scimark_benchmark: 1228.6758, usercpu_time_millis: 2642.797, usercpu_time_millis_testing: 69.553, usercpu_time_millis_training: 2573.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9538, kappa: 0.8867, kb_relative_information_score: 27514.09, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219, scimark_benchmark: 1233.248, usercpu_time_millis: 3363.973, usercpu_time_millis_testing: 38.131, usercpu_time_millis_training: 3325.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9653, kappa: 0.9149, kb_relative_information_score: 29312.4134, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1242.4904, usercpu_time_millis: 466.917, usercpu_time_millis_testing: 6.64, usercpu_time_millis_training: 460.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8587, kappa: 0.6542, kb_relative_information_score: -8881.3727, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8589, predictive_accuracy: 0.8586, prior_entropy: 0.863, recall: 0.8586, relative_absolute_error: 1.1255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.02, scimark_benchmark: 1283.7358, usercpu_time_millis: 546.634, usercpu_time_millis_testing: 1.876, usercpu_time_millis_training: 544.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29354.3824, mean_absolute_error: 0.0646, 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: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3616, scimark_benchmark: 1303.1599, usercpu_time_millis: 5890.225, usercpu_time_millis_testing: 63.775, usercpu_time_millis_training: 5826.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9604, kappa: 0.9026, kb_relative_information_score: 28255.8346, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.1931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.3925, scimark_benchmark: 1269.5748, usercpu_time_millis: 838.879, usercpu_time_millis_testing: 39.259, usercpu_time_millis_training: 799.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.941, kappa: 0.8543, kb_relative_information_score: 26139.1901, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9414, prior_entropy: 0.863, recall: 0.9414, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4632, scimark_benchmark: 1227.8496, usercpu_time_millis: 754.429, usercpu_time_millis_testing: 17.915, usercpu_time_millis_training: 736.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9452, kappa: 0.8643, kb_relative_information_score: 27794.676, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9456, predictive_accuracy: 0.9458, prior_entropy: 0.863, recall: 0.9458, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455, scimark_benchmark: 1276.6318, usercpu_time_millis: 15686.992, usercpu_time_millis_testing: 123.64, usercpu_time_millis_training: 15563.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9359, kappa: 0.8409, kb_relative_information_score: 24750.2968, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9365, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4879, scimark_benchmark: 1234.0632, usercpu_time_millis: 2486.268, usercpu_time_millis_testing: 56.914, usercpu_time_millis_training: 2429.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9656, kappa: 0.9155, kb_relative_information_score: 29008.5983, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3642, scimark_benchmark: 1269.798, usercpu_time_millis: 2344.559, usercpu_time_millis_testing: 73.567, usercpu_time_millis_training: 2270.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9578, kappa: 0.8964, kb_relative_information_score: 28147.7044, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9578, predictive_accuracy: 0.9579, prior_entropy: 0.863, recall: 0.9579, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013, scimark_benchmark: 1231.1448, usercpu_time_millis: 510.323, usercpu_time_millis_testing: 11.764, usercpu_time_millis_training: 498.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9503, kappa: 0.8778, kb_relative_information_score: 26880.3557, mean_absolute_error: 0.0954, 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: 0.2338, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4363, scimark_benchmark: 1273.8638, usercpu_time_millis: 1101.436, usercpu_time_millis_testing: 38.401, usercpu_time_millis_training: 1063.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9573, kappa: 0.8949, kb_relative_information_score: 27332.8041, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105, scimark_benchmark: 1272.4884, usercpu_time_millis: 139.734, usercpu_time_millis_testing: 7.438, usercpu_time_millis_training: 132.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9509, kappa: 0.8795, kb_relative_information_score: 27109.2916, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9508, predictive_accuracy: 0.951, prior_entropy: 0.863, recall: 0.951, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4343, scimark_benchmark: 1229.4728, usercpu_time_millis: 6126.033, usercpu_time_millis_testing: 78.665, usercpu_time_millis_training: 6047.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9443, kappa: 0.8629, kb_relative_information_score: 26365.8068, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9446, prior_entropy: 0.863, recall: 0.9446, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4542, scimark_benchmark: 1260.8505, usercpu_time_millis: 4758.498, usercpu_time_millis_testing: 87.777, usercpu_time_millis_training: 4670.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29259.4702, mean_absolute_error: 0.0662, 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: 0.1622, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3603, scimark_benchmark: 1233.0612, usercpu_time_millis: 1570.375, usercpu_time_millis_testing: 41.873, usercpu_time_millis_training: 1528.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9575, kappa: 0.8955, kb_relative_information_score: 27689.5817, mean_absolute_error: 0.0861, 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: 0.211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4068, scimark_benchmark: 1267.2354, usercpu_time_millis: 1568.059, usercpu_time_millis_testing: 52.879, usercpu_time_millis_training: 1515.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9564, kappa: 0.8924, kb_relative_information_score: 26752.4393, mean_absolute_error: 0.1009, 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: 0.2472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4186, scimark_benchmark: 1235.2854, usercpu_time_millis: 1620.806, usercpu_time_millis_testing: 89.273, usercpu_time_millis_training: 1531.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9433, kappa: 0.8591, kb_relative_information_score: 22316.1061, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9443, predictive_accuracy: 0.9442, prior_entropy: 0.863, recall: 0.9442, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.5168, scimark_benchmark: 1268.6811, usercpu_time_millis: 1499.982, usercpu_time_millis_testing: 86.048, usercpu_time_millis_training: 1413.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9417, kappa: 0.8568, kb_relative_information_score: 27238.6343, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9418, prior_entropy: 0.863, recall: 0.9418, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4538, scimark_benchmark: 1299.625, usercpu_time_millis: 2590.443, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 2589.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9314, kappa: 0.8294, kb_relative_information_score: 22735.833, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.9327, prior_entropy: 0.863, recall: 0.9327, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5191, scimark_benchmark: 1239.847, usercpu_time_millis: 1090.664, usercpu_time_millis_testing: 48.369, usercpu_time_millis_training: 1042.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 28624.5663, mean_absolute_error: 0.0738, 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: 0.1809, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3824, scimark_benchmark: 1273.4727, usercpu_time_millis: 5932.718, usercpu_time_millis_testing: 103.012, usercpu_time_millis_training: 5829.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.959, kappa: 0.8993, kb_relative_information_score: 28307.5244, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3969, scimark_benchmark: 1221.8676, usercpu_time_millis: 471.836, usercpu_time_millis_testing: 13.111, usercpu_time_millis_training: 458.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9646, kappa: 0.9131, kb_relative_information_score: 29315.6353, mean_absolute_error: 0.0646, 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: 0.1582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3689, scimark_benchmark: 1303.7973, usercpu_time_millis: 3771.124, usercpu_time_millis_testing: 20.06, usercpu_time_millis_training: 3751.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9242, kappa: 0.8108, kb_relative_information_score: 21690.1037, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.543, scimark_benchmark: 1227.8046, usercpu_time_millis: 1078.226, usercpu_time_millis_testing: 56.277, usercpu_time_millis_training: 1021.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9064, kappa: 0.7639, kb_relative_information_score: 15652.7377, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9125, predictive_accuracy: 0.9101, prior_entropy: 0.863, recall: 0.9101, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6629, scimark_benchmark: 1275.4126, usercpu_time_millis: 422.79, usercpu_time_millis_testing: 40.428, usercpu_time_millis_training: 382.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9379, kappa: 0.8473, kb_relative_information_score: 26297.3036, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9378, predictive_accuracy: 0.9381, prior_entropy: 0.863, recall: 0.9381, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4725, scimark_benchmark: 1258.6665, usercpu_time_millis: 11202.24, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 11201.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9449, kappa: 0.8642, kb_relative_information_score: 26198.4967, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.454, scimark_benchmark: 1270.8026, usercpu_time_millis: 1125.614, usercpu_time_millis_testing: 22.516, usercpu_time_millis_training: 1103.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9632, kappa: 0.9098, kb_relative_information_score: 29014.6795, mean_absolute_error: 0.0683, 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: 0.1675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3742, scimark_benchmark: 1229.9862, usercpu_time_millis: 8389.376, usercpu_time_millis_testing: 89.216, usercpu_time_millis_training: 8300.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9364, kappa: 0.8425, kb_relative_information_score: 25426.8632, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9366, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4821, scimark_benchmark: 1226.411, usercpu_time_millis: 2812.403, usercpu_time_millis_testing: 59.222, usercpu_time_millis_training: 2753.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9483, kappa: 0.8729, kb_relative_information_score: 26739.1248, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4433, scimark_benchmark: 1267.997, usercpu_time_millis: 821.313, usercpu_time_millis_testing: 14.289, usercpu_time_millis_training: 807.024,

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