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: 0.9837, f_measure: 0.9345, kappa: 0.8372, kb_relative_information_score: 23512.3525, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9356, prior_entropy: 0.863, recall: 0.9356, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.5051, scimark_benchmark: 894.6659, usercpu_time_millis: 64.405, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 62.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9343, kappa: 0.8369, kb_relative_information_score: 25322.585, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4935, scimark_benchmark: 895.648, usercpu_time_millis: 1577.861, usercpu_time_millis_testing: 5.62, usercpu_time_millis_training: 1572.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.944, kappa: 0.862, kb_relative_information_score: 26557.7717, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9439, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461, scimark_benchmark: 870.6091, usercpu_time_millis: 217.102, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 216.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9295, kappa: 0.8242, kb_relative_information_score: 24980.0848, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9311, predictive_accuracy: 0.931, prior_entropy: 0.863, recall: 0.931, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4997, scimark_benchmark: 928.6828, usercpu_time_millis: 1503.731, usercpu_time_millis_testing: 8.792, usercpu_time_millis_training: 1494.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9137, kappa: 0.7844, kb_relative_information_score: 18421.2097, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9153, predictive_accuracy: 0.9157, prior_entropy: 0.863, recall: 0.9157, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.6077, scimark_benchmark: 906.0322, usercpu_time_millis: 60.98, usercpu_time_millis_testing: 2.21, usercpu_time_millis_training: 58.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9307, kappa: 0.8276, kb_relative_information_score: 25120.2652, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4979, scimark_benchmark: 895.6866, usercpu_time_millis: 1371.382, usercpu_time_millis_testing: 7.18, usercpu_time_millis_training: 1364.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9551, kappa: 0.8893, kb_relative_information_score: 26811.0817, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.423, scimark_benchmark: 892.129, usercpu_time_millis: 1221.072, usercpu_time_millis_testing: 45.194, usercpu_time_millis_training: 1175.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9617, kappa: 0.9059, kb_relative_information_score: 28897.7983, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3836, scimark_benchmark: 1729.6209, usercpu_time_millis: 2787.845, usercpu_time_millis_testing: 9.599, usercpu_time_millis_training: 2778.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9565, kappa: 0.8934, kb_relative_information_score: 28207.9945, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.4071, scimark_benchmark: 1730.7623, usercpu_time_millis: 4373.092, usercpu_time_millis_testing: 20.515, usercpu_time_millis_training: 4352.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9539, kappa: 0.887, kb_relative_information_score: 27646.4686, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4225, scimark_benchmark: 1723.0479, usercpu_time_millis: 2607.809, usercpu_time_millis_testing: 14.693, usercpu_time_millis_training: 2593.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8686, kappa: 0.6798, kb_relative_information_score: 17362.0886, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8695, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6806, scimark_benchmark: 1716.9407, usercpu_time_millis: 446.136, usercpu_time_millis_testing: 3.65, usercpu_time_millis_training: 442.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.6707, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1733.7613, usercpu_time_millis: 47.668, usercpu_time_millis_testing: 7.466, usercpu_time_millis_training: 40.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9659, kappa: 0.9162, kb_relative_information_score: 29376.5513, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3641, scimark_benchmark: 1720.0398, usercpu_time_millis: 1569.365, usercpu_time_millis_testing: 7.859, usercpu_time_millis_training: 1561.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.936, kappa: 0.8415, kb_relative_information_score: 25465.5668, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9364, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4887, scimark_benchmark: 1732.5591, usercpu_time_millis: 611.381, usercpu_time_millis_testing: 3.652, usercpu_time_millis_training: 607.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9458, kappa: 0.8664, kb_relative_information_score: 26332.2234, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9458, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4511, scimark_benchmark: 1731.5618, usercpu_time_millis: 437.265, usercpu_time_millis_testing: 16.12, usercpu_time_millis_training: 421.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9315, kappa: 0.8295, kb_relative_information_score: 25180.1477, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9327, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.4977, scimark_benchmark: 1729.728, usercpu_time_millis: 136.118, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 135.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 29319.5397, mean_absolute_error: 0.0641, 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: 0.157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.3736, scimark_benchmark: 1739.0223, usercpu_time_millis: 64.722, usercpu_time_millis_testing: 0.848, usercpu_time_millis_training: 63.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9634, kappa: 0.9102, kb_relative_information_score: 29112.3347, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3741, scimark_benchmark: 1734.5999, usercpu_time_millis: 1166.336, usercpu_time_millis_testing: 7.201, usercpu_time_millis_training: 1159.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9348, kappa: 0.8382, kb_relative_information_score: 25402.2905, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9354, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.27, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.493, scimark_benchmark: 1740.6397, usercpu_time_millis: 757.772, usercpu_time_millis_testing: 4.388, usercpu_time_millis_training: 753.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8708, kappa: 0.6845, kb_relative_information_score: 17529.8743, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8713, predictive_accuracy: 0.8703, prior_entropy: 0.863, recall: 0.8703, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6661, scimark_benchmark: 1730.591, usercpu_time_millis: 101.237, usercpu_time_millis_testing: 2.545, usercpu_time_millis_training: 98.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9225, kappa: 0.8057, kb_relative_information_score: 24531.4842, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9247, prior_entropy: 0.863, recall: 0.9247, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.5071, scimark_benchmark: 1725.8551, usercpu_time_millis: 1392.68, usercpu_time_millis_testing: 13.846, usercpu_time_millis_training: 1378.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9299, kappa: 0.826, kb_relative_information_score: 25196.3251, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9304, predictive_accuracy: 0.9309, prior_entropy: 0.863, recall: 0.9309, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5042, scimark_benchmark: 1733.3606, usercpu_time_millis: 577.429, usercpu_time_millis_testing: 1.389, usercpu_time_millis_training: 576.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9527, kappa: 0.8838, kb_relative_information_score: 27658.7975, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4249, scimark_benchmark: 1731.9625, usercpu_time_millis: 334.657, usercpu_time_millis_testing: 2.18, usercpu_time_millis_training: 332.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9433, kappa: 0.8603, kb_relative_information_score: 26360.713, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.458, scimark_benchmark: 1738.3274, usercpu_time_millis: 275.967, usercpu_time_millis_testing: 6.541, usercpu_time_millis_training: 269.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.932, kappa: 0.8315, kb_relative_information_score: 25807.78, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9323, predictive_accuracy: 0.9328, prior_entropy: 0.863, recall: 0.9328, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4896, scimark_benchmark: 1726.3126, usercpu_time_millis: 41.994, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 41.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9479, kappa: 0.872, kb_relative_information_score: 26899.1163, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.201, root_relative_squared_error: 0.445, scimark_benchmark: 1733.3606, usercpu_time_millis: 1272.928, usercpu_time_millis_testing: 14.772, usercpu_time_millis_training: 1258.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9683, kappa: 0.9222, kb_relative_information_score: 29923.7904, mean_absolute_error: 0.0568, 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: 0.1391, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3491, scimark_benchmark: 1737.9267, usercpu_time_millis: 646.881, usercpu_time_millis_testing: 2.981, usercpu_time_millis_training: 643.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9604, kappa: 0.9027, kb_relative_information_score: 28167.9656, mean_absolute_error: 0.0803, 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: 0.1967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.3909, scimark_benchmark: 1724.947, usercpu_time_millis: 548.689, usercpu_time_millis_testing: 12.761, usercpu_time_millis_training: 535.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 29095.1687, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.3766, scimark_benchmark: 1733.7613, usercpu_time_millis: 130.385, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 129.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9576, kappa: 0.8959, kb_relative_information_score: 28354.8947, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9575, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.4023, scimark_benchmark: 1697.1111, usercpu_time_millis: 2675.486, usercpu_time_millis_testing: 12.178, usercpu_time_millis_training: 2663.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9382, kappa: 0.8473, kb_relative_information_score: 26167.4378, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9387, prior_entropy: 0.863, recall: 0.9387, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742, scimark_benchmark: 1852.4707, usercpu_time_millis: 2257.495, usercpu_time_millis_testing: 7.212, usercpu_time_millis_training: 2250.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9201, kappa: 0.7995, kb_relative_information_score: 24641.4993, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9225, prior_entropy: 0.863, recall: 0.9225, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5143, scimark_benchmark: 1826.1362, usercpu_time_millis: 1476.207, usercpu_time_millis_testing: 7.462, usercpu_time_millis_training: 1468.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9616, kappa: 0.9057, kb_relative_information_score: 28893.8724, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3852, scimark_benchmark: 1842.6679, usercpu_time_millis: 1321.162, usercpu_time_millis_testing: 3.308, usercpu_time_millis_training: 1317.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9154, kappa: 0.7872, kb_relative_information_score: 24361.4002, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9207, predictive_accuracy: 0.9185, prior_entropy: 0.863, recall: 0.9185, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.238, root_relative_squared_error: 0.527, scimark_benchmark: 1838.2459, usercpu_time_millis: 1146.125, usercpu_time_millis_testing: 6.417, usercpu_time_millis_training: 1139.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9344, kappa: 0.8371, kb_relative_information_score: 25271.9017, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9349, predictive_accuracy: 0.9353, prior_entropy: 0.863, recall: 0.9353, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4927, scimark_benchmark: 1734.3333, usercpu_time_millis: 1087.48, usercpu_time_millis_testing: 8.252, usercpu_time_millis_training: 1079.228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9448, kappa: 0.8642, kb_relative_information_score: 26911.2213, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9447, predictive_accuracy: 0.9451, prior_entropy: 0.863, recall: 0.9451, relative_absolute_error: 0.227, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4515, scimark_benchmark: 1830.1732, usercpu_time_millis: 2871.875, usercpu_time_millis_testing: 9.936, usercpu_time_millis_training: 2861.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 29275.3076, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701, scimark_benchmark: 1893.1977, usercpu_time_millis: 2828.824, usercpu_time_millis_testing: 8.459, usercpu_time_millis_training: 2820.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 28458.6131, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4031, scimark_benchmark: 2012.1335, usercpu_time_millis: 4000.011, usercpu_time_millis_testing: 12.165, usercpu_time_millis_training: 3987.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 28973.6341, mean_absolute_error: 0.0687, 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: 0.1683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3807, scimark_benchmark: 1851.9456, usercpu_time_millis: 3167.138, usercpu_time_millis_testing: 10.845, usercpu_time_millis_training: 3156.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9504, kappa: 0.8784, kb_relative_information_score: 27736.056, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4291, scimark_benchmark: 1875.3803, usercpu_time_millis: 1655.605, usercpu_time_millis_testing: 4.383, usercpu_time_millis_training: 1651.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29150.0028, mean_absolute_error: 0.0665, 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: 0.1631, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3747, scimark_benchmark: 1844.8764, usercpu_time_millis: 2867.856, usercpu_time_millis_testing: 12.526, usercpu_time_millis_training: 2855.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9262, kappa: 0.8154, kb_relative_information_score: 24830.4154, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.5024, scimark_benchmark: 1836.2567, usercpu_time_millis: 1585.616, usercpu_time_millis_testing: 10.947, usercpu_time_millis_training: 1574.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8654, kappa: 0.6741, kb_relative_information_score: 17378.6258, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8677, predictive_accuracy: 0.864, prior_entropy: 0.863, recall: 0.864, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6868, scimark_benchmark: 1829.9865, usercpu_time_millis: 2206.594, usercpu_time_millis_testing: 10.48, usercpu_time_millis_training: 2196.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.938, kappa: 0.8462, kb_relative_information_score: 24113.307, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9389, prior_entropy: 0.863, recall: 0.9389, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4912, scimark_benchmark: 1844.2676, usercpu_time_millis: 500.239, usercpu_time_millis_testing: 16.189, usercpu_time_millis_training: 484.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8694, kappa: 0.6815, kb_relative_information_score: 17467.3229, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8701, predictive_accuracy: 0.8689, prior_entropy: 0.863, recall: 0.8689, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.6718, scimark_benchmark: 1847.8629, usercpu_time_millis: 408.409, usercpu_time_millis_testing: 5.899, usercpu_time_millis_training: 402.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8777, kappa: 0.7013, kb_relative_information_score: 17453.5708, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8782, predictive_accuracy: 0.8773, prior_entropy: 0.863, recall: 0.8773, relative_absolute_error: 0.5196, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6437, scimark_benchmark: 1881.2117, usercpu_time_millis: 102.288, usercpu_time_millis_testing: 4.305, usercpu_time_millis_training: 97.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -2.1811, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.5018, usercpu_time_millis: 51.22, usercpu_time_millis_testing: 4.479, usercpu_time_millis_training: 46.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -1.6827, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1850.4554, usercpu_time_millis: 15.012, usercpu_time_millis_testing: 1.207, usercpu_time_millis_training: 13.805,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9367, kappa: 0.843, kb_relative_information_score: 25577.8873, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9371, predictive_accuracy: 0.9375, prior_entropy: 0.863, recall: 0.9375, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4864, scimark_benchmark: 2126.7279, usercpu_time_millis: 957.296, usercpu_time_millis_testing: 9.228, usercpu_time_millis_training: 948.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9672, kappa: 0.9194, kb_relative_information_score: 29874.6928, mean_absolute_error: 0.0571, 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: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.16, root_relative_squared_error: 0.3543, scimark_benchmark: 2005.5135, usercpu_time_millis: 952.753, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 950.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9162, kappa: 0.7892, kb_relative_information_score: 24344.4373, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9214, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5227, scimark_benchmark: 2007.2091, usercpu_time_millis: 934.869, usercpu_time_millis_testing: 4.23, usercpu_time_millis_training: 930.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8686, kappa: 0.6803, kb_relative_information_score: 17437.3687, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8698, predictive_accuracy: 0.8677, prior_entropy: 0.863, recall: 0.8677, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6831, scimark_benchmark: 1854.4951, usercpu_time_millis: 787.866, usercpu_time_millis_testing: 9.197, usercpu_time_millis_training: 778.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9208, kappa: 0.8011, kb_relative_information_score: 24567.0902, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9248, predictive_accuracy: 0.9232, prior_entropy: 0.863, recall: 0.9232, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.5093, scimark_benchmark: 1844.2035, usercpu_time_millis: 682.558, usercpu_time_millis_testing: 7.082, usercpu_time_millis_training: 675.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9406, kappa: 0.853, kb_relative_information_score: 25228.6516, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.941, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4708, scimark_benchmark: 1842.3188, usercpu_time_millis: 649.806, usercpu_time_millis_testing: 15.618, usercpu_time_millis_training: 634.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8671, kappa: 0.6747, kb_relative_information_score: 16170.1635, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8672, predictive_accuracy: 0.867, prior_entropy: 0.863, recall: 0.867, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6839, scimark_benchmark: 1842.1882, usercpu_time_millis: 280.817, usercpu_time_millis_testing: 7.158, usercpu_time_millis_training: 273.659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9451, kappa: 0.865, kb_relative_information_score: 26990.9535, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.945, predictive_accuracy: 0.9454, prior_entropy: 0.863, recall: 0.9454, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4505, scimark_benchmark: 1883.4876, usercpu_time_millis: 3829.824, usercpu_time_millis_testing: 7.049, usercpu_time_millis_training: 3822.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8637, kappa: 0.6704, kb_relative_information_score: 17408.0759, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8664, predictive_accuracy: 0.8622, prior_entropy: 0.863, recall: 0.8622, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6886, scimark_benchmark: 1985.7326, usercpu_time_millis: 3574.043, usercpu_time_millis_testing: 9.004, usercpu_time_millis_training: 3565.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9034, kappa: 0.761, kb_relative_information_score: 22266.2505, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9032, predictive_accuracy: 0.9044, prior_entropy: 0.863, recall: 0.9044, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.5865, scimark_benchmark: 1903.4214, usercpu_time_millis: 3203.971, usercpu_time_millis_testing: 9.076, usercpu_time_millis_training: 3194.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9647, kappa: 0.9134, kb_relative_information_score: 29333.8791, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368, scimark_benchmark: 1847.2753, usercpu_time_millis: 2100.878, usercpu_time_millis_testing: 5.027, usercpu_time_millis_training: 2095.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9629, kappa: 0.909, kb_relative_information_score: 29064.8547, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.378, scimark_benchmark: 1905.8004, usercpu_time_millis: 2355.497, usercpu_time_millis_testing: 6.382, usercpu_time_millis_training: 2349.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9202, kappa: 0.7996, kb_relative_information_score: 24690.6598, mean_absolute_error: 0.1198, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9242, predictive_accuracy: 0.9227, prior_entropy: 0.863, recall: 0.9227, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5112, scimark_benchmark: 1747.7397, usercpu_time_millis: 1543.789, usercpu_time_millis_testing: 12.078, usercpu_time_millis_training: 1531.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9479, kappa: 0.8721, kb_relative_information_score: 27098.8796, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.948, prior_entropy: 0.863, recall: 0.948, relative_absolute_error: 0.2224, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4446, scimark_benchmark: 1818.757, usercpu_time_millis: 1740.399, usercpu_time_millis_testing: 7.115, usercpu_time_millis_training: 1733.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8633, kappa: 0.6676, kb_relative_information_score: 17243.1869, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8647, predictive_accuracy: 0.8623, prior_entropy: 0.863, recall: 0.8623, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6886, scimark_benchmark: 1817.2999, usercpu_time_millis: 1202.866, usercpu_time_millis_testing: 12.271, usercpu_time_millis_training: 1190.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8618, kappa: 0.6668, kb_relative_information_score: 17323.3154, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8653, predictive_accuracy: 0.8599, prior_entropy: 0.863, recall: 0.8599, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6917, scimark_benchmark: 1846.1643, usercpu_time_millis: 946.634, usercpu_time_millis_testing: 4.394, usercpu_time_millis_training: 942.24,

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