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: 0.968, f_measure: 0.9013, kappa: 0.7547, kb_relative_information_score: 17351.139, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9015, predictive_accuracy: 0.9029, prior_entropy: 0.863, recall: 0.9029, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.287, root_relative_squared_error: 0.6354, scimark_benchmark: 742.8413, usercpu_time_millis: 280.741, usercpu_time_millis_testing: 11.96, usercpu_time_millis_training: 268.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9217, kappa: 0.8039, kb_relative_information_score: 22028.9395, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9247, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5392, scimark_benchmark: 1787.483, usercpu_time_millis: 237.765, usercpu_time_millis_testing: 9.534, usercpu_time_millis_training: 228.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9514, kappa: 0.8805, kb_relative_information_score: 26896.7866, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9516, prior_entropy: 0.863, recall: 0.9516, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4344, scimark_benchmark: 1841.1596, usercpu_time_millis: 189.905, usercpu_time_millis_testing: 2.539, usercpu_time_millis_training: 187.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.929, kappa: 0.8227, kb_relative_information_score: 25026.1005, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9309, predictive_accuracy: 0.9306, prior_entropy: 0.863, recall: 0.9306, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.5012, scimark_benchmark: 1797.3142, usercpu_time_millis: 177.625, usercpu_time_millis_testing: 2.848, usercpu_time_millis_training: 174.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9202, kappa: 0.8009, kb_relative_information_score: 19717.7446, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.922, predictive_accuracy: 0.9221, prior_entropy: 0.863, recall: 0.9221, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5816, scimark_benchmark: 1785.8241, usercpu_time_millis: 133.95, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 129.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9009, kappa: 0.7503, kb_relative_information_score: 13631.1505, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9067, predictive_accuracy: 0.9048, prior_entropy: 0.863, recall: 0.9048, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.7044, scimark_benchmark: 1735.2041, usercpu_time_millis: 85.959, usercpu_time_millis_testing: 6.324, usercpu_time_millis_training: 79.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9136, kappa: 0.7829, kb_relative_information_score: 16837.2594, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9176, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.6385, scimark_benchmark: 1770.4535, usercpu_time_millis: 8.222, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 7.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9591, kappa: 0.8996, kb_relative_information_score: 28652.3564, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3956, scimark_benchmark: 1848.916, usercpu_time_millis: 5698.848, usercpu_time_millis_testing: 11.565, usercpu_time_millis_training: 5687.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9364, kappa: 0.8425, kb_relative_information_score: 25801.9885, mean_absolute_error: 0.1065, 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: 0.2609, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4786, scimark_benchmark: 1850.8706, usercpu_time_millis: 2614.371, usercpu_time_millis_testing: 14.488, usercpu_time_millis_training: 2599.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9542, kappa: 0.8876, kb_relative_information_score: 28521.3088, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9541, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098, scimark_benchmark: 1853.454, usercpu_time_millis: 2603.711, usercpu_time_millis_testing: 5.19, usercpu_time_millis_training: 2598.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9513, kappa: 0.8806, kb_relative_information_score: 27555.4802, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9513, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.2094, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4303, scimark_benchmark: 1723.602, usercpu_time_millis: 2526.946, usercpu_time_millis_testing: 7.487, usercpu_time_millis_training: 2519.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9607, kappa: 0.9036, kb_relative_information_score: 28926.538, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9607, predictive_accuracy: 0.9607, prior_entropy: 0.863, recall: 0.9607, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3841, scimark_benchmark: 1853.454, usercpu_time_millis: 2260.216, usercpu_time_millis_testing: 8.343, usercpu_time_millis_training: 2251.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9519, kappa: 0.8821, kb_relative_information_score: 27705.6867, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4257, scimark_benchmark: 1796.9522, usercpu_time_millis: 1864.781, usercpu_time_millis_testing: 7.639, usercpu_time_millis_training: 1857.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9169, kappa: 0.7909, kb_relative_information_score: 24395.6297, mean_absolute_error: 0.1238, 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: 0.3033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5186, scimark_benchmark: 1725.3477, usercpu_time_millis: 1756.791, usercpu_time_millis_testing: 11.792, usercpu_time_millis_training: 1744.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 28834.6105, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.381, scimark_benchmark: 1730.1287, usercpu_time_millis: 1485.564, usercpu_time_millis_testing: 11.913, usercpu_time_millis_training: 1473.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9606, kappa: 0.9032, kb_relative_information_score: 28755.6983, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.3888, scimark_benchmark: 1854.4431, usercpu_time_millis: 1273.515, usercpu_time_millis_testing: 4.198, usercpu_time_millis_training: 1269.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9361, kappa: 0.8417, kb_relative_information_score: 25572.6495, mean_absolute_error: 0.1098, 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: 0.2691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.484, scimark_benchmark: 1849.8294, usercpu_time_millis: 1223.093, usercpu_time_millis_testing: 11.088, usercpu_time_millis_training: 1212.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29360.9923, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612, scimark_benchmark: 1724.4096, usercpu_time_millis: 1084.198, usercpu_time_millis_testing: 9.442, usercpu_time_millis_training: 1074.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 27415.1988, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4248, scimark_benchmark: 1839.272, usercpu_time_millis: 1021.304, usercpu_time_millis_testing: 11.175, usercpu_time_millis_training: 1010.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 28952.9409, mean_absolute_error: 0.0692, 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: 0.1696, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.3761, scimark_benchmark: 1857.1082, usercpu_time_millis: 729.438, usercpu_time_millis_testing: 5.752, usercpu_time_millis_training: 723.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9656, kappa: 0.9156, kb_relative_information_score: 29224.6177, mean_absolute_error: 0.0662, 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: 0.1623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3657, scimark_benchmark: 1850.2875, usercpu_time_millis: 373.639, usercpu_time_millis_testing: 4.151, usercpu_time_millis_training: 369.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9468, kappa: 0.8694, kb_relative_information_score: 26945.6913, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4458, scimark_benchmark: 1883.3904, usercpu_time_millis: 282.591, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 281.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9441, kappa: 0.8621, kb_relative_information_score: 26407.0238, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9444, prior_entropy: 0.863, recall: 0.9444, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4562, scimark_benchmark: 1787.8431, usercpu_time_millis: 178.536, usercpu_time_millis_testing: 5.224, usercpu_time_millis_training: 173.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9631, kappa: 0.9093, kb_relative_information_score: 28644.1321, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3778, scimark_benchmark: 1728.0807, usercpu_time_millis: 118.461, usercpu_time_millis_testing: 3.885, usercpu_time_millis_training: 114.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7844, kappa: 0.4449, kb_relative_information_score: 10626.5999, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8449, predictive_accuracy: 0.8155, prior_entropy: 0.863, recall: 0.8155, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7702, scimark_benchmark: 1836.0792, usercpu_time_millis: 103.58, usercpu_time_millis_testing: 10.662, usercpu_time_millis_training: 92.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9215, kappa: 0.8032, kb_relative_information_score: 23959.4242, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.9239, prior_entropy: 0.863, recall: 0.9239, relative_absolute_error: 0.3256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.232, root_relative_squared_error: 0.5137, scimark_benchmark: 1850.2875, usercpu_time_millis: 51.305, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 49.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 28774.1167, mean_absolute_error: 0.0694, 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: 0.1701, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1833.1413, usercpu_time_millis: 5719.245, usercpu_time_millis_testing: 13.185, usercpu_time_millis_training: 5706.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9313, kappa: 0.83, kb_relative_information_score: 25868.6045, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9313, predictive_accuracy: 0.9319, prior_entropy: 0.863, recall: 0.9319, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.4923, scimark_benchmark: 1730.7008, usercpu_time_millis: 5561.933, usercpu_time_millis_testing: 12.773, usercpu_time_millis_training: 5549.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9529, kappa: 0.8846, kb_relative_information_score: 27970.0611, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4187, scimark_benchmark: 1733.9457, usercpu_time_millis: 3258.843, usercpu_time_millis_testing: 10.478, usercpu_time_millis_training: 3248.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.965, kappa: 0.914, kb_relative_information_score: 29292.9056, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3669, scimark_benchmark: 1834.565, usercpu_time_millis: 1786.926, usercpu_time_millis_testing: 8.063, usercpu_time_millis_training: 1778.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9525, kappa: 0.8835, kb_relative_information_score: 27593.9199, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.2089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259, scimark_benchmark: 1710.4147, usercpu_time_millis: 1336.138, usercpu_time_millis_testing: 6.16, usercpu_time_millis_training: 1329.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9438, kappa: 0.8616, kb_relative_information_score: 26391.7023, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4573, scimark_benchmark: 1835.1337, usercpu_time_millis: 1038.229, usercpu_time_millis_testing: 9.694, usercpu_time_millis_training: 1028.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: 28476.0065, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9575, prior_entropy: 0.863, recall: 0.9575, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.402, scimark_benchmark: 1903.017, usercpu_time_millis: 484.953, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 483.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 30279.6285, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.3384, scimark_benchmark: 1837.1955, usercpu_time_millis: 755.508, usercpu_time_millis_testing: 4.702, usercpu_time_millis_training: 750.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9652, kappa: 0.9146, kb_relative_information_score: 29328.9586, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3658, scimark_benchmark: 1835.1516, usercpu_time_millis: 634.732, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 629.868,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8586, kappa: 0.6526, kb_relative_information_score: 15306.117, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8583, predictive_accuracy: 0.8589, prior_entropy: 0.863, recall: 0.8589, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.7339, scimark_benchmark: 1726.7323, usercpu_time_millis: 207.636, usercpu_time_millis_testing: 6.958, usercpu_time_millis_training: 200.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.8975, kb_relative_information_score: 28002.9644, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.4031, scimark_benchmark: 1752.266, usercpu_time_millis: 126.851, usercpu_time_millis_testing: 3.989, usercpu_time_millis_training: 122.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9337, kappa: 0.8355, kb_relative_information_score: 24963.9244, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4926, scimark_benchmark: 1754.5753, usercpu_time_millis: 61.813, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 60.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.9032, 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: 1829.1182, usercpu_time_millis: 28.037, usercpu_time_millis_testing: 2.716, usercpu_time_millis_training: 25.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9213, kappa: 0.8028, kb_relative_information_score: 24764.1195, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9245, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5148, scimark_benchmark: 1824.403, usercpu_time_millis: 1193.421, usercpu_time_millis_testing: 3.674, usercpu_time_millis_training: 1189.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 27976.6932, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.193, root_relative_squared_error: 0.4273, scimark_benchmark: 1754.2209, usercpu_time_millis: 1073.627, usercpu_time_millis_testing: 2.289, usercpu_time_millis_training: 1071.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9497, kappa: 0.8763, kb_relative_information_score: 27075.3507, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4382, scimark_benchmark: 1723.5061, usercpu_time_millis: 856.463, usercpu_time_millis_testing: 15.469, usercpu_time_millis_training: 840.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9517, kappa: 0.8815, kb_relative_information_score: 27322.0391, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.4321, scimark_benchmark: 2026.0613, usercpu_time_millis: 758.245, usercpu_time_millis_testing: 4.648, usercpu_time_millis_training: 753.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9143, kappa: 0.7868, kb_relative_information_score: 21665.0825, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9148, predictive_accuracy: 0.9157, prior_entropy: 0.863, recall: 0.9157, relative_absolute_error: 0.3988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5541, scimark_benchmark: 1757.3565, usercpu_time_millis: 324.852, usercpu_time_millis_testing: 5.411, usercpu_time_millis_training: 319.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 29400.7698, mean_absolute_error: 0.0637, 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: 0.1561, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3615, scimark_benchmark: 1730.1287, usercpu_time_millis: 236.168, usercpu_time_millis_testing: 2.299, usercpu_time_millis_training: 233.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9289, kappa: 0.8226, kb_relative_information_score: 24971.3327, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 0.863, recall: 0.9305, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5, scimark_benchmark: 1812.8084, usercpu_time_millis: 247.105, usercpu_time_millis_testing: 4.951, usercpu_time_millis_training: 242.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9361, kappa: 0.8413, kb_relative_information_score: 23271.5538, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.5067, scimark_benchmark: 1738.7326, usercpu_time_millis: 208.042, usercpu_time_millis_testing: 12.295, usercpu_time_millis_training: 195.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9279, kappa: 0.8204, kb_relative_information_score: 20436.467, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.563, scimark_benchmark: 1723.1624, usercpu_time_millis: 56.799, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 54.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.8589, kappa: 0.6525, kb_relative_information_score: 14885.7951, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8583, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7227, scimark_benchmark: 1705.5941, usercpu_time_millis: 51.483, usercpu_time_millis_testing: 1.971, usercpu_time_millis_training: 49.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -5.2535, 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: 1830.7352, usercpu_time_millis: 25.232, usercpu_time_millis_testing: 3.919, usercpu_time_millis_training: 21.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9519, kappa: 0.882, kb_relative_information_score: 27577.4396, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9519, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4284, scimark_benchmark: 1821.1639, usercpu_time_millis: 4136.063, usercpu_time_millis_testing: 20.098, usercpu_time_millis_training: 4115.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.967, kappa: 0.919, kb_relative_information_score: 29646.4156, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3557, scimark_benchmark: 1735.8865, usercpu_time_millis: 1330.778, usercpu_time_millis_testing: 8.442, usercpu_time_millis_training: 1322.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9348, kappa: 0.8383, kb_relative_information_score: 25320.6641, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.4921, scimark_benchmark: 1719.1388, usercpu_time_millis: 1184.95, usercpu_time_millis_testing: 7.456, usercpu_time_millis_training: 1177.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8751, kappa: 0.6952, kb_relative_information_score: 18050.0455, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8757, predictive_accuracy: 0.8746, prior_entropy: 0.863, recall: 0.8746, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.6415, scimark_benchmark: 1782.0978, usercpu_time_millis: 542.89, usercpu_time_millis_testing: 8.596, usercpu_time_millis_training: 534.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8878, kappa: 0.7192, kb_relative_information_score: 14640.9273, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8893, predictive_accuracy: 0.8907, prior_entropy: 0.863, recall: 0.8907, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6913, scimark_benchmark: 1725.7811, usercpu_time_millis: 113.794, usercpu_time_millis_testing: 7.152, usercpu_time_millis_training: 106.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9393, kappa: 0.8492, kb_relative_information_score: 22910.0401, mean_absolute_error: 0.1513, 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: 0.3708, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.51, scimark_benchmark: 1830.2533, usercpu_time_millis: 60.554, usercpu_time_millis_testing: 2.583, usercpu_time_millis_training: 57.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9367, kappa: 0.8428, kb_relative_information_score: 22937.515, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9375, predictive_accuracy: 0.9377, prior_entropy: 0.863, recall: 0.9377, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5113, scimark_benchmark: 1817.7918, usercpu_time_millis: 118.546, usercpu_time_millis_testing: 4.703, usercpu_time_millis_training: 113.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9594, kappa: 0.8997, kb_relative_information_score: 26171.8953, mean_absolute_error: 0.1115, 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: 0.2732, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.419, scimark_benchmark: 1831.6625, usercpu_time_millis: 45.521, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 43.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9463, kappa: 0.868, kb_relative_information_score: 26984.0479, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9462, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4484, scimark_benchmark: 1798.2457, usercpu_time_millis: 4473.315, usercpu_time_millis_testing: 13.557, usercpu_time_millis_training: 4459.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9612, kappa: 0.9048, kb_relative_information_score: 29374.6136, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3797, scimark_benchmark: 1796.5624, usercpu_time_millis: 3799.902, usercpu_time_millis_testing: 8.744, usercpu_time_millis_training: 3791.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.921, kappa: 0.802, kb_relative_information_score: 24701.0616, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9243, predictive_accuracy: 0.9233, prior_entropy: 0.863, recall: 0.9233, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5146, scimark_benchmark: 1596.0489, usercpu_time_millis: 1195.642, usercpu_time_millis_testing: 4.268, usercpu_time_millis_training: 1191.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 29014.4965, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.377, scimark_benchmark: 1878.586, usercpu_time_millis: 1102.926, usercpu_time_millis_testing: 6.612, usercpu_time_millis_training: 1096.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9537, kappa: 0.886, kb_relative_information_score: 27026.7711, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427, scimark_benchmark: 1787.8584, usercpu_time_millis: 508.545, usercpu_time_millis_testing: 13.322, usercpu_time_millis_training: 495.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 28165.7737, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1767.186, usercpu_time_millis: 142.716, usercpu_time_millis_testing: 2.556, usercpu_time_millis_training: 140.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: -3.1491, 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: 1960.4546, usercpu_time_millis: 51.964, usercpu_time_millis_testing: 5.065, usercpu_time_millis_training: 46.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5954, kb_relative_information_score: 0.7991, 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: 1874.2836, usercpu_time_millis: 11.786, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 10.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -6.6324, 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: 1784.4466, usercpu_time_millis: 24.744, usercpu_time_millis_testing: 3.746, usercpu_time_millis_training: 20.998,

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