OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9198, kb_relative_information_score: -989.2932, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.9835, scimark_benchmark: 1861.2022, usercpu_time_millis: 5.228, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 4.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9768, kappa: 0.7546, kb_relative_information_score: 2468.2344, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9781, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5486, scimark_benchmark: 1868.7112, usercpu_time_millis: 5.844, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 5.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9843, kappa: 0.8428, kb_relative_information_score: 2979.7115, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4786, scimark_benchmark: 1846.2359, usercpu_time_millis: 3.701, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 3.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9734, kappa: 0.7246, kb_relative_information_score: 1923.9512, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9734, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.5884, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.944, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.9198, kb_relative_information_score: 4.785, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1870.3532, usercpu_time_millis: 2.297, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9751, kappa: 0.7363, kb_relative_information_score: 1907.5003, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9773, prior_entropy: 0.3037, recall: 0.9773, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.5759, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9198, kb_relative_information_score: -1265.4569, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.9285, scimark_benchmark: 1973.8516, usercpu_time_millis: 6.156, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 5.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9835, kappa: 0.8362, kb_relative_information_score: 3256.0885, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4907, scimark_benchmark: 1861.5089, usercpu_time_millis: 41.839, usercpu_time_millis_testing: 1.574, usercpu_time_millis_training: 40.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9825, kappa: 0.8231, kb_relative_information_score: 2751.5178, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5012, scimark_benchmark: 1751.9247, usercpu_time_millis: 34.468, usercpu_time_millis_testing: 1.716, usercpu_time_millis_training: 32.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9815, kappa: 0.8158, kb_relative_information_score: 2326.6982, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1249, root_relative_squared_error: 0.5531, scimark_benchmark: 1863.9794, usercpu_time_millis: 14.475, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 13.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9627, kappa: 0.582, kb_relative_information_score: 1446.8205, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9688, predictive_accuracy: 0.9686, prior_entropy: 0.3037, recall: 0.9686, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.6664, scimark_benchmark: 1754.7547, usercpu_time_millis: 9.034, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 8.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9755, kappa: 0.7502, kb_relative_information_score: 1908.1678, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9764, prior_entropy: 0.3037, recall: 0.9764, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.135, root_relative_squared_error: 0.5974, scimark_benchmark: 2166.8354, usercpu_time_millis: 0.161, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9807, kappa: 0.8001, kb_relative_information_score: 2779.6808, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9811, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1164, root_relative_squared_error: 0.5151, scimark_benchmark: 1891.6738, usercpu_time_millis: 32.277, usercpu_time_millis_testing: 2.192, usercpu_time_millis_training: 30.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9198, kb_relative_information_score: -2147.776, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.8596, scimark_benchmark: 1864.3748, usercpu_time_millis: 23.125, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 21.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9841, kappa: 0.8397, kb_relative_information_score: 3118.5668, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4787, scimark_benchmark: 1987.7127, usercpu_time_millis: 22.868, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 21.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9753, kappa: 0.7459, kb_relative_information_score: 2106.8792, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9753, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5639, scimark_benchmark: 1899.3487, usercpu_time_millis: 24.522, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 23.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9792, kappa: 0.7822, kb_relative_information_score: 2648.2045, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9803, predictive_accuracy: 0.9808, prior_entropy: 0.3037, recall: 0.9808, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.5286, scimark_benchmark: 1868.1832, usercpu_time_millis: 20.965, usercpu_time_millis_testing: 1.483, usercpu_time_millis_training: 19.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9838, kappa: 0.836, kb_relative_information_score: 3010.0032, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4824, scimark_benchmark: 1862.2919, usercpu_time_millis: 25.149, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 23.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9469, kappa: 0.3786, kb_relative_information_score: 314.0049, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9573, predictive_accuracy: 0.9585, prior_entropy: 0.3037, recall: 0.9585, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.765, scimark_benchmark: 1866.6261, usercpu_time_millis: 17.701, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 16.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9645, kappa: 0.6177, kb_relative_information_score: 824.3227, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.619, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.718, scimark_benchmark: 1900.7901, usercpu_time_millis: 16.636, usercpu_time_millis_testing: 1.002, usercpu_time_millis_training: 15.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: 2.2262, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1864.9, usercpu_time_millis: 3.689, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 3.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9622, kappa: 0.5765, kb_relative_information_score: 1123.3567, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9681, predictive_accuracy: 0.9682, prior_entropy: 0.3037, recall: 0.9682, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.6895, scimark_benchmark: 1915.9218, usercpu_time_millis: 10.389, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 9.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9198, kb_relative_information_score: -1438.0217, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.9402, scimark_benchmark: 1911.7658, usercpu_time_millis: 4.004, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9754, kappa: 0.7392, kb_relative_information_score: 2279.9103, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9766, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.56, scimark_benchmark: 1868.1832, usercpu_time_millis: 6.539, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 6.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9721, kappa: 0.699, kb_relative_information_score: 2217.4801, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9743, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.5818, scimark_benchmark: 1915.4781, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.9198, kb_relative_information_score: 4.9527, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1914.9229, usercpu_time_millis: 6.386, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 5.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9849, kappa: 0.8493, kb_relative_information_score: 3247.2995, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9847, predictive_accuracy: 0.9851, prior_entropy: 0.3037, recall: 0.9851, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4864, scimark_benchmark: 1903.8019, usercpu_time_millis: 49.067, usercpu_time_millis_testing: 1.789, usercpu_time_millis_training: 47.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9839, kappa: 0.8385, kb_relative_information_score: 3182.0745, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9838, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.485, scimark_benchmark: 1924.7032, usercpu_time_millis: 42.633, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 40.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9841, kappa: 0.8421, kb_relative_information_score: 3048.4142, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.984, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.488, scimark_benchmark: 1947.4228, usercpu_time_millis: 37.63, usercpu_time_millis_testing: 1.244, usercpu_time_millis_training: 36.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9739, kappa: 0.7287, kb_relative_information_score: 1930.3071, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9756, prior_entropy: 0.3037, recall: 0.9756, relative_absolute_error: 0.4079, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.132, root_relative_squared_error: 0.5846, scimark_benchmark: 1263.4199, usercpu_time_millis: 35.189, usercpu_time_millis_testing: 2.049, usercpu_time_millis_training: 33.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9693, kappa: 0.682, kb_relative_information_score: 1480.555, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.636, scimark_benchmark: 1939.535, usercpu_time_millis: 28.931, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 27.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9687, kappa: 0.6759, kb_relative_information_score: 981.4271, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9682, predictive_accuracy: 0.9704, prior_entropy: 0.3037, recall: 0.9704, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.6976, scimark_benchmark: 1885.2961, usercpu_time_millis: 25.431, usercpu_time_millis_testing: 0.942, usercpu_time_millis_training: 24.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9722, kappa: 0.7016, kb_relative_information_score: 2094.2456, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4402, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.5812, scimark_benchmark: 1928.71, usercpu_time_millis: 20.967, usercpu_time_millis_testing: 1.319, usercpu_time_millis_training: 19.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9591, kappa: 0.5424, kb_relative_information_score: 844.3388, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.963, predictive_accuracy: 0.9653, prior_entropy: 0.3037, recall: 0.9653, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.7138, scimark_benchmark: 1869.6309, usercpu_time_millis: 25.966, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 24.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9756, kappa: 0.7436, kb_relative_information_score: 2322.5902, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9764, predictive_accuracy: 0.9775, prior_entropy: 0.3037, recall: 0.9775, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.5514, scimark_benchmark: 1884.3636, usercpu_time_millis: 12.25, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 11.11,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9707, kappa: 0.683, kb_relative_information_score: 2178.9844, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9732, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.5802, scimark_benchmark: 1879.2533, usercpu_time_millis: 12.434, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 11.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.9198, kb_relative_information_score: -3153.8871, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.9701, scimark_benchmark: 1878.8582, usercpu_time_millis: 6.124, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 5.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9688, kappa: 0.6666, kb_relative_information_score: 1497.3895, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.6415, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.088, usercpu_time_millis_testing: 0.612, usercpu_time_millis_training: 11.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9845, kappa: 0.8446, kb_relative_information_score: 3056.2215, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4781, scimark_benchmark: 1868.8403, usercpu_time_millis: 8.279, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 7.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9198, kb_relative_information_score: -863.2586, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.8804, scimark_benchmark: 1772.2908, usercpu_time_millis: 7.227, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 6.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.9198, kb_relative_information_score: -2.72, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1888.1261, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 3.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9704, kappa: 0.6898, kb_relative_information_score: 1353.6931, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.6535, scimark_benchmark: 1868.1908, usercpu_time_millis: 1.987, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 1.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9845, kappa: 0.844, kb_relative_information_score: 3076.7745, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9844, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.479, scimark_benchmark: 2140.7543, usercpu_time_millis: 28.561, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 27.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9766, kappa: 0.7541, kb_relative_information_score: 2500.8634, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9774, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.5396, scimark_benchmark: 1802.9098, usercpu_time_millis: 14.343, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 13.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9846, kappa: 0.8458, kb_relative_information_score: 3038.5416, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4749, scimark_benchmark: 1870.3532, usercpu_time_millis: 21.35, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 20.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9727, kappa: 0.7172, kb_relative_information_score: 1912.6278, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9726, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.5947, scimark_benchmark: 1863.066, usercpu_time_millis: 24.624, usercpu_time_millis_testing: 1.602, usercpu_time_millis_training: 23.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.9198, kb_relative_information_score: -3150.5002, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.9106, scimark_benchmark: 1856.2273, usercpu_time_millis: 13.528, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 12.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9846, kappa: 0.8469, kb_relative_information_score: 3173.058, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.475, scimark_benchmark: 1858.3038, usercpu_time_millis: 20.273, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 19.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9828, kappa: 0.8247, kb_relative_information_score: 2859.4171, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4905, scimark_benchmark: 1867.1999, usercpu_time_millis: 3.901, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 3.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9734, kappa: 0.7201, kb_relative_information_score: 1963.0893, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9739, predictive_accuracy: 0.9754, prior_entropy: 0.3037, recall: 0.9754, relative_absolute_error: 0.4398, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5902, scimark_benchmark: 1860.9838, usercpu_time_millis: 30.104, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 28.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9798, kappa: 0.7895, kb_relative_information_score: 2679.2675, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.5261, scimark_benchmark: 1862.5409, usercpu_time_millis: 24.762, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 23.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9198, kb_relative_information_score: -3087.771, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.9313, scimark_benchmark: 1741.2968, usercpu_time_millis: 11.522, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 10.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9605, kappa: 0.5561, kb_relative_information_score: 742.6476, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9659, predictive_accuracy: 0.9667, prior_entropy: 0.3037, recall: 0.9667, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.7185, scimark_benchmark: 1816.83, usercpu_time_millis: 14.638, usercpu_time_millis_testing: 1.42, usercpu_time_millis_training: 13.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9801, kappa: 0.8035, kb_relative_information_score: 2363.2132, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.98, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5588, scimark_benchmark: 1855.5999, usercpu_time_millis: 7.597, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 7.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.983, kappa: 0.8308, kb_relative_information_score: 2756.9244, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1147, root_relative_squared_error: 0.508, scimark_benchmark: 1755.9983, usercpu_time_millis: 3.297, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 3.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9679, kappa: 0.6583, kb_relative_information_score: 1060.554, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9686, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6951, scimark_benchmark: 1751.4742, usercpu_time_millis: 2.418, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9778, kappa: 0.7782, kb_relative_information_score: 2259.3474, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5576, scimark_benchmark: 1375.2127, usercpu_time_millis: 23.41, usercpu_time_millis_testing: 1.127, usercpu_time_millis_training: 22.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9204, kappa: 0.0072, kb_relative_information_score: 45.9815, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9492, predictive_accuracy: 0.9463, prior_entropy: 0.3037, recall: 0.9463, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.8017, scimark_benchmark: 1367.8644, usercpu_time_millis: 7.68, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 6.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9742, kappa: 0.73, kb_relative_information_score: 2048.0242, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9746, predictive_accuracy: 0.976, prior_entropy: 0.3037, recall: 0.976, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.5715, scimark_benchmark: 1367.2406, usercpu_time_millis: 3.201, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 2.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9827, kappa: 0.8242, kb_relative_information_score: 2826.6711, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4945, scimark_benchmark: 1361.8335, usercpu_time_millis: 45.074, usercpu_time_millis_testing: 2.78, usercpu_time_millis_training: 42.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9838, kappa: 0.8379, kb_relative_information_score: 3198.8451, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4931, scimark_benchmark: 1365.247, usercpu_time_millis: 49.795, usercpu_time_millis_testing: 2.24, usercpu_time_millis_training: 47.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9823, kappa: 0.8189, kb_relative_information_score: 2782.3591, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9824, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.5073, scimark_benchmark: 1366.6799, usercpu_time_millis: 31.422, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 29.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9198, kb_relative_information_score: -967.237, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.9151, scimark_benchmark: 1372.0667, usercpu_time_millis: 15.508, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 13.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9198, kb_relative_information_score: -638.7485, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.863, scimark_benchmark: 1365.5377, usercpu_time_millis: 14.196, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 12.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9683, kappa: 0.652, kb_relative_information_score: 1953.044, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.6115, scimark_benchmark: 1374.4421, usercpu_time_millis: 25.292, usercpu_time_millis_testing: 2.499, usercpu_time_millis_training: 22.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9724, kappa: 0.7034, kb_relative_information_score: 2402.2475, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1294, root_relative_squared_error: 0.573, scimark_benchmark: 1370.3028, usercpu_time_millis: 43.724, usercpu_time_millis_testing: 3.61, usercpu_time_millis_training: 40.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 1159.8212, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6949, scimark_benchmark: 1369.2556, usercpu_time_millis: 27.957, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 26.62,

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