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: 0.9884, f_measure: 0.9527, kappa: 0.8839, kb_relative_information_score: 27613.1372, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9526, predictive_accuracy: 0.9527, prior_entropy: 0.863, recall: 0.9527, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4255, scimark_benchmark: 1831.6625, usercpu_time_millis: 726.253, usercpu_time_millis_testing: 3.128, usercpu_time_millis_training: 723.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9376, kappa: 0.8452, kb_relative_information_score: 24556.2864, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9382, predictive_accuracy: 0.9385, prior_entropy: 0.863, recall: 0.9385, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4863, scimark_benchmark: 1769.2261, usercpu_time_millis: 330.711, usercpu_time_millis_testing: 11.154, usercpu_time_millis_training: 319.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.959, kappa: 0.899, kb_relative_information_score: 27622.2407, mean_absolute_error: 0.0883, 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: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4009, scimark_benchmark: 1745.4821, usercpu_time_millis: 293.498, usercpu_time_millis_testing: 7.47, usercpu_time_millis_training: 286.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9389, kappa: 0.848, kb_relative_information_score: 21114.7559, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 0.863, recall: 0.94, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.5441, scimark_benchmark: 1765.9601, usercpu_time_millis: 308.409, usercpu_time_millis_testing: 17.845, usercpu_time_millis_training: 290.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 28266.5888, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3882, scimark_benchmark: 1764.2701, usercpu_time_millis: 294.55, usercpu_time_millis_testing: 6.841, usercpu_time_millis_training: 287.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.942, kappa: 0.8563, kb_relative_information_score: 25447.0234, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9423, predictive_accuracy: 0.9426, prior_entropy: 0.863, recall: 0.9426, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4658, scimark_benchmark: 1774.8415, usercpu_time_millis: 268.194, usercpu_time_millis_testing: 7.234, usercpu_time_millis_training: 260.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9594, kappa: 0.9001, kb_relative_information_score: 27915.4651, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9596, prior_entropy: 0.863, recall: 0.9596, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3978, scimark_benchmark: 1774.7465, usercpu_time_millis: 89.852, usercpu_time_millis_testing: 4.331, usercpu_time_millis_training: 85.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9108, kappa: 0.7748, kb_relative_information_score: 17460.7435, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9182, predictive_accuracy: 0.9146, prior_entropy: 0.863, recall: 0.9146, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.6227, scimark_benchmark: 1768.3288, usercpu_time_millis: 131.045, usercpu_time_millis_testing: 11.5, usercpu_time_millis_training: 119.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9277, kappa: 0.8183, kb_relative_information_score: 18919.5765, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9325, predictive_accuracy: 0.93, prior_entropy: 0.863, recall: 0.93, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5871, scimark_benchmark: 1754.502, usercpu_time_millis: 193.206, usercpu_time_millis_testing: 13.371, usercpu_time_millis_training: 179.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9642, kappa: 0.912, kb_relative_information_score: 28666.5681, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.169, root_relative_squared_error: 0.3741, scimark_benchmark: 1746.1824, usercpu_time_millis: 183.568, usercpu_time_millis_testing: 4.305, usercpu_time_millis_training: 179.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9278, kappa: 0.8202, kb_relative_information_score: 20004.8069, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.863, recall: 0.9292, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5717, scimark_benchmark: 1745.7129, usercpu_time_millis: 155.517, usercpu_time_millis_testing: 12.413, usercpu_time_millis_training: 143.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9601, kappa: 0.9019, kb_relative_information_score: 28005.2479, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957, scimark_benchmark: 1748.2233, usercpu_time_millis: 709.803, usercpu_time_millis_testing: 15.127, usercpu_time_millis_training: 694.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9662, kappa: 0.9171, kb_relative_information_score: 29342.1462, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.3596, scimark_benchmark: 1712.539, usercpu_time_millis: 564.06, usercpu_time_millis_testing: 8.983, usercpu_time_millis_training: 555.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 28607.4594, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.863, recall: 0.9585, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.3972, scimark_benchmark: 1819.4285, usercpu_time_millis: 236.705, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 235.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9544, kappa: 0.8875, kb_relative_information_score: 26750.5278, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4246, scimark_benchmark: 1724.947, usercpu_time_millis: 105.806, usercpu_time_millis_testing: 5.831, usercpu_time_millis_training: 99.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28864.4782, mean_absolute_error: 0.0701, 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: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3842, scimark_benchmark: 1829.178, usercpu_time_millis: 3953.127, usercpu_time_millis_testing: 19.178, usercpu_time_millis_training: 3933.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9528, kappa: 0.8843, kb_relative_information_score: 27809.9024, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.863, recall: 0.9528, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.4216, scimark_benchmark: 1835.0844, usercpu_time_millis: 4251.88, usercpu_time_millis_testing: 13.954, usercpu_time_millis_training: 4237.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9352, kappa: 0.8393, kb_relative_information_score: 25903.2518, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.936, prior_entropy: 0.863, recall: 0.936, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4789, scimark_benchmark: 1823.2111, usercpu_time_millis: 2482.299, usercpu_time_millis_testing: 10.046, usercpu_time_millis_training: 2472.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9486, kappa: 0.8738, kb_relative_information_score: 26976.5023, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9485, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4428, scimark_benchmark: 1830.1173, usercpu_time_millis: 483.42, usercpu_time_millis_testing: 4.557, usercpu_time_millis_training: 478.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9558, kappa: 0.8914, kb_relative_information_score: 27487.3878, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.863, recall: 0.956, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4139, scimark_benchmark: 1832.8115, usercpu_time_millis: 297.99, usercpu_time_millis_testing: 7.881, usercpu_time_millis_training: 290.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.6718, 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: 1800.7708, usercpu_time_millis: 36.336, usercpu_time_millis_testing: 3.71, usercpu_time_millis_training: 32.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9601, kappa: 0.9022, kb_relative_information_score: 28659.1245, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9601, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.177, root_relative_squared_error: 0.3918, scimark_benchmark: 1806.1083, usercpu_time_millis: 665.997, usercpu_time_millis_testing: 2.782, usercpu_time_millis_training: 663.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9663, kappa: 0.9171, kb_relative_information_score: 29065.5554, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609, scimark_benchmark: 1832.1165, usercpu_time_millis: 215.674, usercpu_time_millis_testing: 8.074, usercpu_time_millis_training: 207.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9355, kappa: 0.8403, kb_relative_information_score: 25751.1371, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9358, predictive_accuracy: 0.9363, prior_entropy: 0.863, recall: 0.9363, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4804, scimark_benchmark: 1822.7572, usercpu_time_millis: 1742.594, usercpu_time_millis_testing: 9.311, usercpu_time_millis_training: 1733.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9367, kappa: 0.8432, kb_relative_information_score: 25958.7265, mean_absolute_error: 0.1039, 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: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4771, scimark_benchmark: 1740.8426, usercpu_time_millis: 2421.84, usercpu_time_millis_testing: 11.568, usercpu_time_millis_training: 2410.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.959, kappa: 0.8994, kb_relative_information_score: 28524.7192, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.959, prior_entropy: 0.863, recall: 0.959, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3957, scimark_benchmark: 1841.2811, usercpu_time_millis: 2556.203, usercpu_time_millis_testing: 8.943, usercpu_time_millis_training: 2547.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8714, kappa: 0.686, kb_relative_information_score: 17744.493, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8719, predictive_accuracy: 0.871, prior_entropy: 0.863, recall: 0.871, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.297, root_relative_squared_error: 0.6575, scimark_benchmark: 1818.7721, usercpu_time_millis: 247.808, usercpu_time_millis_testing: 9.985, usercpu_time_millis_training: 237.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9624, kappa: 0.9077, kb_relative_information_score: 29079.6965, mean_absolute_error: 0.0673, 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: 0.1649, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3785, scimark_benchmark: 1822.8459, usercpu_time_millis: 669.732, usercpu_time_millis_testing: 2.479, usercpu_time_millis_training: 667.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9025, kappa: 0.7575, kb_relative_information_score: 16271.4885, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9029, predictive_accuracy: 0.9042, prior_entropy: 0.863, recall: 0.9042, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6547, scimark_benchmark: 1810.992, usercpu_time_millis: 227.862, usercpu_time_millis_testing: 10.733, usercpu_time_millis_training: 217.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9176, kappa: 0.7927, kb_relative_information_score: 23993.2197, mean_absolute_error: 0.1321, 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: 0.3237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5163, scimark_benchmark: 1836.1651, usercpu_time_millis: 193.305, usercpu_time_millis_testing: 3.95, usercpu_time_millis_training: 189.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: 0.768, 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: 1828.6642, usercpu_time_millis: 21.798, usercpu_time_millis_testing: 2.775, usercpu_time_millis_training: 19.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8671, kappa: 0.6776, kb_relative_information_score: 17342.7037, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.866, prior_entropy: 0.863, recall: 0.866, relative_absolute_error: 0.5056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6859, scimark_benchmark: 1758.736, usercpu_time_millis: 145.708, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 144.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9529, kappa: 0.8845, kb_relative_information_score: 27395.2644, mean_absolute_error: 0.0883, 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: 0.2164, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4266, scimark_benchmark: 1831.1542, usercpu_time_millis: 550.803, usercpu_time_millis_testing: 9.931, usercpu_time_millis_training: 540.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.933, kappa: 0.8335, kb_relative_information_score: 25270.9697, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9338, predictive_accuracy: 0.9341, prior_entropy: 0.863, recall: 0.9341, relative_absolute_error: 0.2747, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.496, scimark_benchmark: 1822.7572, usercpu_time_millis: 296.221, usercpu_time_millis_testing: 2.212, usercpu_time_millis_training: 294.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: 28040.1222, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9587, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4003, scimark_benchmark: 1849.8902, usercpu_time_millis: 381.764, usercpu_time_millis_testing: 10.376, usercpu_time_millis_training: 371.388,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 29933.1403, mean_absolute_error: 0.0568, 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: 0.1392, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.3466, scimark_benchmark: 1776.0218, usercpu_time_millis: 327.861, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 325.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29612.7009, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527, scimark_benchmark: 1840.1891, usercpu_time_millis: 146.375, usercpu_time_millis_testing: 2.503, usercpu_time_millis_training: 143.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.869, kappa: 0.6802, kb_relative_information_score: 17385.7256, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8696, predictive_accuracy: 0.8686, prior_entropy: 0.863, recall: 0.8686, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6728, scimark_benchmark: 1844.3636, usercpu_time_millis: 23.427, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 22.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9432, kappa: 0.8601, kb_relative_information_score: 26352.1238, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9435, prior_entropy: 0.863, recall: 0.9435, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4634, scimark_benchmark: 1734.5023, usercpu_time_millis: 1429.537, usercpu_time_millis_testing: 8.979, usercpu_time_millis_training: 1420.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 28919.6767, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3733, scimark_benchmark: 1822.697, usercpu_time_millis: 252.828, usercpu_time_millis_testing: 5.309, usercpu_time_millis_training: 247.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9218, kappa: 0.8039, kb_relative_information_score: 24687.1787, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9251, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.512, scimark_benchmark: 1721.4741, usercpu_time_millis: 1044.542, usercpu_time_millis_testing: 5.524, usercpu_time_millis_training: 1039.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9632, kappa: 0.9097, kb_relative_information_score: 29023.4102, mean_absolute_error: 0.0685, 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: 0.1678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3753, scimark_benchmark: 1727.1069, usercpu_time_millis: 537.057, usercpu_time_millis_testing: 4.718, usercpu_time_millis_training: 532.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9197, kappa: 0.7983, kb_relative_information_score: 24606.8403, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9239, predictive_accuracy: 0.9222, prior_entropy: 0.863, recall: 0.9222, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5141, scimark_benchmark: 1730.1287, usercpu_time_millis: 448.273, usercpu_time_millis_testing: 5.656, usercpu_time_millis_training: 442.617,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9433, kappa: 0.8601, kb_relative_information_score: 26329.4327, mean_absolute_error: 0.0997, 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: 0.2444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4652, scimark_benchmark: 1831.6117, usercpu_time_millis: 1907.901, usercpu_time_millis_testing: 12.693, usercpu_time_millis_training: 1895.208,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 29088.4157, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3746, scimark_benchmark: 1854.4951, usercpu_time_millis: 1596.562, usercpu_time_millis_testing: 7.522, usercpu_time_millis_training: 1589.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9361, kappa: 0.8417, kb_relative_information_score: 25505.577, mean_absolute_error: 0.111, 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: 0.2719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4842, scimark_benchmark: 1819.9868, usercpu_time_millis: 1587.838, usercpu_time_millis_testing: 13.409, usercpu_time_millis_training: 1574.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9677, kappa: 0.9208, kb_relative_information_score: 29771.7303, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3537, scimark_benchmark: 1731.163, usercpu_time_millis: 1443.525, usercpu_time_millis_testing: 4.159, usercpu_time_millis_training: 1439.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9389, kappa: 0.849, kb_relative_information_score: 26108.3211, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.939, predictive_accuracy: 0.9395, prior_entropy: 0.863, recall: 0.9395, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.214, root_relative_squared_error: 0.4737, scimark_benchmark: 1824.745, usercpu_time_millis: 1457.335, usercpu_time_millis_testing: 7.387, usercpu_time_millis_training: 1449.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.933, kappa: 0.8342, kb_relative_information_score: 25712.6749, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9338, prior_entropy: 0.863, recall: 0.9338, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4906, scimark_benchmark: 1731.9625, usercpu_time_millis: 1371.084, usercpu_time_millis_testing: 3.846, usercpu_time_millis_training: 1367.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.957, kappa: 0.8946, kb_relative_information_score: 28232.1116, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.405, scimark_benchmark: 1735.1328, usercpu_time_millis: 939.6, usercpu_time_millis_testing: 4.467, usercpu_time_millis_training: 935.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9282, kappa: 0.8209, kb_relative_information_score: 24970.6552, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9298, prior_entropy: 0.863, recall: 0.9298, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4999, scimark_benchmark: 1844.7928, usercpu_time_millis: 858.818, usercpu_time_millis_testing: 5.495, usercpu_time_millis_training: 853.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9352, kappa: 0.8394, kb_relative_information_score: 25444.4389, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9361, prior_entropy: 0.863, recall: 0.9361, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4908, scimark_benchmark: 1735.1328, usercpu_time_millis: 654.612, usercpu_time_millis_testing: 3.441, usercpu_time_millis_training: 651.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8686, kappa: 0.6802, kb_relative_information_score: 17427.4422, mean_absolute_error: 0.206, 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: 0.5049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.68, scimark_benchmark: 1812.2788, usercpu_time_millis: 615.048, usercpu_time_millis_testing: 4.877, usercpu_time_millis_training: 610.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9425, kappa: 0.8579, kb_relative_information_score: 26009.7591, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9426, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4612, scimark_benchmark: 1730.6549, usercpu_time_millis: 463.834, usercpu_time_millis_testing: 10.855, usercpu_time_millis_training: 452.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9498, kappa: 0.8758, kb_relative_information_score: 24872.065, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615, scimark_benchmark: 1842.6679, usercpu_time_millis: 345.296, usercpu_time_millis_testing: 18.002, usercpu_time_millis_training: 327.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 29443.7363, mean_absolute_error: 0.063, 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: 0.1544, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.3637, scimark_benchmark: 1733.3606, usercpu_time_millis: 313.259, usercpu_time_millis_testing: 1.43, usercpu_time_millis_training: 311.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9425, kappa: 0.8584, kb_relative_information_score: 26336.2336, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9424, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.245, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4614, scimark_benchmark: 1850.1356, usercpu_time_millis: 315.786, usercpu_time_millis_testing: 1.883, usercpu_time_millis_training: 313.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.94, kappa: 0.8516, kb_relative_information_score: 26011.3812, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9405, prior_entropy: 0.863, recall: 0.9405, relative_absolute_error: 0.2573, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4677, scimark_benchmark: 1824.8044, usercpu_time_millis: 279.252, usercpu_time_millis_testing: 6.444, usercpu_time_millis_training: 272.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9344, kappa: 0.8367, kb_relative_information_score: 20608.099, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.5564, scimark_benchmark: 1728.8162, usercpu_time_millis: 191.577, usercpu_time_millis_testing: 11.2, usercpu_time_millis_training: 180.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9668, kappa: 0.9186, kb_relative_information_score: 29612.3283, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9669, prior_entropy: 0.863, recall: 0.9669, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3588, scimark_benchmark: 1724.3221, usercpu_time_millis: 163.313, usercpu_time_millis_testing: 1.279, usercpu_time_millis_training: 162.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.932, kappa: 0.8308, kb_relative_information_score: 25209.6189, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9332, predictive_accuracy: 0.9333, prior_entropy: 0.863, recall: 0.9333, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4989, scimark_benchmark: 1846.1643, usercpu_time_millis: 120.128, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 119.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9631, kappa: 0.9094, kb_relative_information_score: 28729.4284, mean_absolute_error: 0.0724, 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: 0.1773, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3818, scimark_benchmark: 1818.9456, usercpu_time_millis: 74.345, usercpu_time_millis_testing: 1.719, usercpu_time_millis_training: 72.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -4.2768, 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: 1727.5086, usercpu_time_millis: 46.163, usercpu_time_millis_testing: 2.638, usercpu_time_millis_training: 43.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: -1.0061, 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: 1853.454, usercpu_time_millis: 39.455, usercpu_time_millis_testing: 6.809, usercpu_time_millis_training: 32.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -7.6486, 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: 1852.3877, usercpu_time_millis: 16.756, usercpu_time_millis_testing: 2.159, usercpu_time_millis_training: 14.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5954, kb_relative_information_score: 5.0469, 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: 0.9998, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1821.8602, usercpu_time_millis: 7.924, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 7.051,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs