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: 0.9702, f_measure: 0.9082, kappa: 0.7724, kb_relative_information_score: 17909.6248, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9082, predictive_accuracy: 0.9094, prior_entropy: 0.863, recall: 0.9094, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6226, scimark_benchmark: 1727.4447, usercpu_time_millis: 15.465, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 14.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9471, kappa: 0.8698, kb_relative_information_score: 26900.0271, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.9472, prior_entropy: 0.863, recall: 0.9472, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.4462, scimark_benchmark: 1721.3501, usercpu_time_millis: 2480.028, usercpu_time_millis_testing: 17.638, usercpu_time_millis_training: 2462.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 28418.9534, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1841, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3988, scimark_benchmark: 1855.4813, usercpu_time_millis: 1346.741, usercpu_time_millis_testing: 7.047, usercpu_time_millis_training: 1339.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9697, kappa: 0.9257, kb_relative_information_score: 30253.0487, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3378, scimark_benchmark: 1717.4383, usercpu_time_millis: 260.447, usercpu_time_millis_testing: 2.213, usercpu_time_millis_training: 258.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9379, kappa: 0.8464, kb_relative_information_score: 25934.7447, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9381, predictive_accuracy: 0.9386, prior_entropy: 0.863, recall: 0.9386, relative_absolute_error: 0.2574, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1843.1989, usercpu_time_millis: 191.848, usercpu_time_millis_testing: 1.94, usercpu_time_millis_training: 189.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.959, kappa: 0.8991, kb_relative_information_score: 28387.9486, mean_absolute_error: 0.0765, 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: 0.1875, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3942, scimark_benchmark: 1757.0483, usercpu_time_millis: 371.58, usercpu_time_millis_testing: 7.46, usercpu_time_millis_training: 364.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9032, kappa: 0.7592, kb_relative_information_score: 18099.1173, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9036, predictive_accuracy: 0.9049, prior_entropy: 0.863, recall: 0.9049, relative_absolute_error: 0.5074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.6183, scimark_benchmark: 1864.3593, usercpu_time_millis: 59.655, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 56.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -8.1602, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1792.9041, usercpu_time_millis: 43.136, usercpu_time_millis_testing: 5.565, usercpu_time_millis_training: 37.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9555, kappa: 0.8909, kb_relative_information_score: 28082.3128, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 0.863, recall: 0.9555, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.4108, scimark_benchmark: 1810.4159, usercpu_time_millis: 1179.285, usercpu_time_millis_testing: 5.837, usercpu_time_millis_training: 1173.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29347.4514, mean_absolute_error: 0.0644, 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: 0.1577, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3647, scimark_benchmark: 1868.7958, usercpu_time_millis: 713.466, usercpu_time_millis_testing: 3.926, usercpu_time_millis_training: 709.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9321, kappa: 0.8311, kb_relative_information_score: 25075.5177, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.933, predictive_accuracy: 0.9332, prior_entropy: 0.863, recall: 0.9332, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958, scimark_benchmark: 1864.6248, usercpu_time_millis: 390.194, usercpu_time_millis_testing: 6.686, usercpu_time_millis_training: 383.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9395, kappa: 0.8502, kb_relative_information_score: 25331.2522, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9398, predictive_accuracy: 0.9402, prior_entropy: 0.863, recall: 0.9402, relative_absolute_error: 0.2838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.4739, scimark_benchmark: 1802.0518, usercpu_time_millis: 289.91, usercpu_time_millis_testing: 10.383, usercpu_time_millis_training: 279.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9387, kappa: 0.8484, kb_relative_information_score: 26007.394, mean_absolute_error: 0.1042, 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: 0.2552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4705, scimark_benchmark: 1729.2681, usercpu_time_millis: 253.232, usercpu_time_millis_testing: 2.531, usercpu_time_millis_training: 250.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.868, kappa: 0.6725, kb_relative_information_score: 13822.1666, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8675, predictive_accuracy: 0.87, prior_entropy: 0.863, recall: 0.87, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.7127, scimark_benchmark: 1809.0644, usercpu_time_millis: 79.08, usercpu_time_millis_testing: 6.025, usercpu_time_millis_training: 73.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9162, kappa: 0.7891, kb_relative_information_score: 24200.7261, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9215, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.5245, scimark_benchmark: 1844.677, usercpu_time_millis: 1126.347, usercpu_time_millis_testing: 7.65, usercpu_time_millis_training: 1118.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9561, kappa: 0.8924, kb_relative_information_score: 28104.6747, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9561, predictive_accuracy: 0.9562, prior_entropy: 0.863, recall: 0.9562, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.4101, scimark_benchmark: 1843.8857, usercpu_time_millis: 1100.331, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 1095.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9597, kappa: 0.9009, kb_relative_information_score: 28438.4901, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3928, scimark_benchmark: 1846.727, usercpu_time_millis: 528.899, usercpu_time_millis_testing: 9.503, usercpu_time_millis_training: 519.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9573, kappa: 0.8952, kb_relative_information_score: 28201.4779, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4061, scimark_benchmark: 1845.7061, usercpu_time_millis: 410.998, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 408.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9621, kappa: 0.9068, kb_relative_information_score: 28732.8376, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3819, scimark_benchmark: 1834.1659, usercpu_time_millis: 214.898, usercpu_time_millis_testing: 3.497, usercpu_time_millis_training: 211.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8812, kappa: 0.7004, kb_relative_information_score: 13312.0129, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8858, predictive_accuracy: 0.8859, prior_entropy: 0.863, recall: 0.8859, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.7179, scimark_benchmark: 1844.149, usercpu_time_millis: 41.924, usercpu_time_millis_testing: 2.63, usercpu_time_millis_training: 39.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8653, kappa: 0.6738, kb_relative_information_score: 17382.0331, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8676, predictive_accuracy: 0.8639, prior_entropy: 0.863, recall: 0.8639, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6867, scimark_benchmark: 1818.2988, usercpu_time_millis: 2070.267, usercpu_time_millis_testing: 10.373, usercpu_time_millis_training: 2059.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9496, kappa: 0.8763, kb_relative_information_score: 27225.8721, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381, scimark_benchmark: 1857.4544, usercpu_time_millis: 504.731, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 501.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8686, kappa: 0.6801, kb_relative_information_score: 17416.5648, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8697, predictive_accuracy: 0.8678, prior_entropy: 0.863, recall: 0.8678, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.6822, scimark_benchmark: 1833.7909, usercpu_time_millis: 393.617, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 389.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29857.5305, mean_absolute_error: 0.0573, 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: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.354, scimark_benchmark: 1830.491, usercpu_time_millis: 90.59, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 89.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9026, kappa: 0.7542, kb_relative_information_score: 14396.8906, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9093, predictive_accuracy: 0.9067, prior_entropy: 0.863, recall: 0.9067, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6884, scimark_benchmark: 1734.6773, usercpu_time_millis: 50.682, usercpu_time_millis_testing: 3.521, usercpu_time_millis_training: 47.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.3211, 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: 1817.3082, usercpu_time_millis: 37.775, usercpu_time_millis_testing: 4.77, usercpu_time_millis_training: 33.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9507, kappa: 0.8791, kb_relative_information_score: 28094.8626, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9507, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.424, scimark_benchmark: 1728.4155, usercpu_time_millis: 6855.344, usercpu_time_millis_testing: 14.577, usercpu_time_millis_training: 6840.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 28886.4871, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3842, scimark_benchmark: 1049.2128, usercpu_time_millis: 4218.658, usercpu_time_millis_testing: 18.151, usercpu_time_millis_training: 4200.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 29484.8578, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3633, scimark_benchmark: 1716.0319, usercpu_time_millis: 3872.024, usercpu_time_millis_testing: 9.767, usercpu_time_millis_training: 3862.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9363, kappa: 0.8422, kb_relative_information_score: 26047.9147, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9367, predictive_accuracy: 0.9371, prior_entropy: 0.863, recall: 0.9371, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.4732, scimark_benchmark: 1731.227, usercpu_time_millis: 4339.501, usercpu_time_millis_testing: 13.255, usercpu_time_millis_training: 4326.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9366, kappa: 0.8429, kb_relative_information_score: 26047.4201, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9374, prior_entropy: 0.863, recall: 0.9374, relative_absolute_error: 0.2521, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.474, scimark_benchmark: 992.4534, usercpu_time_millis: 2954.716, usercpu_time_millis_testing: 11.468, usercpu_time_millis_training: 2943.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9545, kappa: 0.8883, kb_relative_information_score: 27777.0883, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4194, scimark_benchmark: 1707.3649, usercpu_time_millis: 2874.679, usercpu_time_millis_testing: 14.741, usercpu_time_millis_training: 2859.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.936, kappa: 0.8416, kb_relative_information_score: 26112.9895, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9368, prior_entropy: 0.863, recall: 0.9368, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4726, scimark_benchmark: 1733.7613, usercpu_time_millis: 2886.218, usercpu_time_millis_testing: 11.785, usercpu_time_millis_training: 2874.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9169, kappa: 0.7909, kb_relative_information_score: 24329.9793, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9218, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.5177, scimark_benchmark: 1684.8762, usercpu_time_millis: 2482.197, usercpu_time_millis_testing: 14.317, usercpu_time_millis_training: 2467.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9337, kappa: 0.8357, kb_relative_information_score: 25914.9946, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9339, predictive_accuracy: 0.9345, prior_entropy: 0.863, recall: 0.9345, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.4845, scimark_benchmark: 1729.2681, usercpu_time_millis: 3110.374, usercpu_time_millis_testing: 9.841, usercpu_time_millis_training: 3100.533,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9496, kappa: 0.8761, kb_relative_information_score: 27223.6144, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9495, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.4372, scimark_benchmark: 1725.8551, usercpu_time_millis: 1643.215, usercpu_time_millis_testing: 12.882, usercpu_time_millis_training: 1630.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9585, kappa: 0.8983, kb_relative_information_score: 28453.6501, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3982, scimark_benchmark: 1747.38, usercpu_time_millis: 1301.995, usercpu_time_millis_testing: 6.023, usercpu_time_millis_training: 1295.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9681, kappa: 0.9218, kb_relative_information_score: 29749.0372, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.863, recall: 0.9682, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514, scimark_benchmark: 1728.0111, usercpu_time_millis: 1051.958, usercpu_time_millis_testing: 4.079, usercpu_time_millis_training: 1047.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9432, kappa: 0.8598, kb_relative_information_score: 26039.6543, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9432, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4596, scimark_benchmark: 1716.0319, usercpu_time_millis: 1015.869, usercpu_time_millis_testing: 16.667, usercpu_time_millis_training: 999.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9378, kappa: 0.8461, kb_relative_information_score: 25641.0233, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9379, predictive_accuracy: 0.9384, prior_entropy: 0.863, recall: 0.9384, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4767, scimark_benchmark: 1846.983, usercpu_time_millis: 852.662, usercpu_time_millis_testing: 10.103, usercpu_time_millis_training: 842.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29624.3953, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3586, scimark_benchmark: 2070.8173, usercpu_time_millis: 807.257, usercpu_time_millis_testing: 3.645, usercpu_time_millis_training: 803.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9306, kappa: 0.8272, kb_relative_information_score: 25130.4963, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.932, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4987, scimark_benchmark: 739.4802, usercpu_time_millis: 343.306, usercpu_time_millis_testing: 5.644, usercpu_time_millis_training: 337.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8585, kappa: 0.6551, kb_relative_information_score: 15636.9366, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8594, predictive_accuracy: 0.8579, prior_entropy: 0.863, recall: 0.8579, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7377, scimark_benchmark: 737.7189, usercpu_time_millis: 275.35, usercpu_time_millis_testing: 10.974, usercpu_time_millis_training: 264.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8575, kappa: 0.651, kb_relative_information_score: 15593.6817, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8576, predictive_accuracy: 0.8575, prior_entropy: 0.863, recall: 0.8575, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7382, scimark_benchmark: 1729.2681, usercpu_time_millis: 203.127, usercpu_time_millis_testing: 8.25, usercpu_time_millis_training: 194.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9616, kappa: 0.9053, kb_relative_information_score: 27497.352, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3931, scimark_benchmark: 1731.6389, usercpu_time_millis: 164.545, usercpu_time_millis_testing: 7.307, usercpu_time_millis_training: 157.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9168, kappa: 0.7908, kb_relative_information_score: 23908.7465, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9197, prior_entropy: 0.863, recall: 0.9197, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5199, scimark_benchmark: 1729.728, usercpu_time_millis: 79.859, usercpu_time_millis_testing: 2.141, usercpu_time_millis_training: 77.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -9.5187, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1738.3274, usercpu_time_millis: 18.461, usercpu_time_millis_testing: 2.416, usercpu_time_millis_training: 16.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.9414, 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: 1729.6688, usercpu_time_millis: 32.567, usercpu_time_millis_testing: 3.763, usercpu_time_millis_training: 28.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.5557, 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: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1726.1829, usercpu_time_millis: 28.288, usercpu_time_millis_testing: 3.039, usercpu_time_millis_training: 25.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.7019, mean_absolute_error: 0.408, 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: 1712.1059, usercpu_time_millis: 19.924, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 18.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9191, kappa: 0.7969, kb_relative_information_score: 24706.2106, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9232, predictive_accuracy: 0.9217, prior_entropy: 0.863, recall: 0.9217, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.515, scimark_benchmark: 1820.1529, usercpu_time_millis: 2385.247, usercpu_time_millis_testing: 12.356, usercpu_time_millis_training: 2372.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9624, kappa: 0.9076, kb_relative_information_score: 28875.6603, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3808, scimark_benchmark: 1804.6762, usercpu_time_millis: 3196.295, usercpu_time_millis_testing: 13.788, usercpu_time_millis_training: 3182.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9618, kappa: 0.9062, kb_relative_information_score: 28949.2956, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3824, scimark_benchmark: 1749.4145, usercpu_time_millis: 2471.808, usercpu_time_millis_testing: 8.645, usercpu_time_millis_training: 2463.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9539, kappa: 0.887, kb_relative_information_score: 28059.03, mean_absolute_error: 0.079, 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: 0.1936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.416, scimark_benchmark: 1757.1346, usercpu_time_millis: 2084.655, usercpu_time_millis_testing: 6.002, usercpu_time_millis_training: 2078.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9596, kappa: 0.9006, kb_relative_information_score: 28432.0083, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9595, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.3936, scimark_benchmark: 1854.4431, usercpu_time_millis: 950.394, usercpu_time_millis_testing: 12.473, usercpu_time_millis_training: 937.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8834, kb_relative_information_score: 27455.9934, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.4292, scimark_benchmark: 2127.2194, usercpu_time_millis: 1806.124, usercpu_time_millis_testing: 11.629, usercpu_time_millis_training: 1794.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9283, kappa: 0.8211, kb_relative_information_score: 25008.3245, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9303, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5047, scimark_benchmark: 1853.9121, usercpu_time_millis: 745.471, usercpu_time_millis_testing: 4.389, usercpu_time_millis_training: 741.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9552, kappa: 0.8902, kb_relative_information_score: 28081.0092, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.4132, scimark_benchmark: 1831.6625, usercpu_time_millis: 1506.347, usercpu_time_millis_testing: 3.684, usercpu_time_millis_training: 1502.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9688, kappa: 0.9234, kb_relative_information_score: 29983.704, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9688, prior_entropy: 0.863, recall: 0.9688, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464, scimark_benchmark: 1837.6486, usercpu_time_millis: 374.22, usercpu_time_millis_testing: 2.03, usercpu_time_millis_training: 372.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 29216.3699, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3704, scimark_benchmark: 1840.7617, usercpu_time_millis: 1293.732, usercpu_time_millis_testing: 7.844, usercpu_time_millis_training: 1285.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9269, kappa: 0.8172, kb_relative_information_score: 24934.6527, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9293, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5029, scimark_benchmark: 2127.7274, usercpu_time_millis: 616.803, usercpu_time_millis_testing: 8.006, usercpu_time_millis_training: 608.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9539, kappa: 0.8867, kb_relative_information_score: 27380.7804, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2175, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4239, scimark_benchmark: 1893.8398, usercpu_time_millis: 481.966, usercpu_time_millis_testing: 8.69, usercpu_time_millis_training: 473.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9676, kappa: 0.9206, kb_relative_information_score: 29609.5606, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.863, recall: 0.9677, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.3496, scimark_benchmark: 1841.1577, usercpu_time_millis: 463.795, usercpu_time_millis_testing: 6.347, usercpu_time_millis_training: 457.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9605, kappa: 0.903, kb_relative_information_score: 28336.368, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.3897, scimark_benchmark: 1845.2262, usercpu_time_millis: 434.752, usercpu_time_millis_testing: 13.791, usercpu_time_millis_training: 420.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9176, kappa: 0.7928, kb_relative_information_score: 23965.5841, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9225, predictive_accuracy: 0.9204, prior_entropy: 0.863, recall: 0.9204, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.5174, scimark_benchmark: 1835.7111, usercpu_time_millis: 341.42, usercpu_time_millis_testing: 5.646, usercpu_time_millis_training: 335.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 28974.7668, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724, scimark_benchmark: 1849.2344, usercpu_time_millis: 339.688, usercpu_time_millis_testing: 4.979, usercpu_time_millis_training: 334.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9558, kappa: 0.8915, kb_relative_information_score: 27522.6283, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.9559, prior_entropy: 0.863, recall: 0.9559, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.4159, scimark_benchmark: 1898.6562, usercpu_time_millis: 308.849, usercpu_time_millis_testing: 4.528, usercpu_time_millis_training: 304.321,

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