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: 0.9892, f_measure: 0.9807, kappa: 0.8015, kb_relative_information_score: 2820.5856, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9808, predictive_accuracy: 0.9816, prior_entropy: 0.3037, recall: 0.9816, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5051, scimark_benchmark: 1822.3184, usercpu_time_millis: 17.258, usercpu_time_millis_testing: 1.091, usercpu_time_millis_training: 16.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9671, kappa: 0.6414, kb_relative_information_score: 1241.5881, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6759, scimark_benchmark: 1847.4673, usercpu_time_millis: 16.326, usercpu_time_millis_testing: 1.466, usercpu_time_millis_training: 14.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9694, kappa: 0.6824, kb_relative_information_score: 1337.2131, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9691, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.6604, scimark_benchmark: 1830.0638, usercpu_time_millis: 11.007, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 10.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.9198, kb_relative_information_score: -6.0307, 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: 0.9986, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1832.9895, usercpu_time_millis: 6.145, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 5.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.9198, kb_relative_information_score: -1.5276, 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: 0.999, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1834.9836, usercpu_time_millis: 6.365, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 5.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.9198, kb_relative_information_score: -3853.4537, mean_absolute_error: 0.0991, 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: 0.9696, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.9844, scimark_benchmark: 1877.7992, usercpu_time_millis: 6.163, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 5.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9198, kb_relative_information_score: -2306.3085, mean_absolute_error: 0.0904, 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: 0.8843, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9034, scimark_benchmark: 1870.557, usercpu_time_millis: 6.917, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 6.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9766, kappa: 0.7551, kb_relative_information_score: 2186.1823, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9773, predictive_accuracy: 0.9783, prior_entropy: 0.3037, recall: 0.9783, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5644, scimark_benchmark: 1874.4489, usercpu_time_millis: 6.21, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 5.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9832, kappa: 0.8339, kb_relative_information_score: 2824.9961, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.5058, scimark_benchmark: 1754.0322, usercpu_time_millis: 52.723, usercpu_time_millis_testing: 2.045, usercpu_time_millis_training: 50.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.972, kappa: 0.6976, kb_relative_information_score: 2191.4374, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.975, prior_entropy: 0.3037, recall: 0.975, relative_absolute_error: 0.4403, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1308, root_relative_squared_error: 0.579, scimark_benchmark: 1839.5487, usercpu_time_millis: 3.489, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 3.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.9198, kb_relative_information_score: -960.4259, mean_absolute_error: 0.0996, 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: 0.9746, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.221, root_relative_squared_error: 0.9782, scimark_benchmark: 1821.8602, usercpu_time_millis: 2.602, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 2.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, f_measure: 0.9198, kb_relative_information_score: -1240.6597, 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: 0.9813, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.9825, scimark_benchmark: 1860.1281, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.9198, kb_relative_information_score: -2506.0211, mean_absolute_error: 0.0986, 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: 0.9647, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.9753, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.31, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.984, kappa: 0.8409, kb_relative_information_score: 3012.7804, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9839, predictive_accuracy: 0.9843, prior_entropy: 0.3037, recall: 0.9843, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4773, scimark_benchmark: 1867.5361, usercpu_time_millis: 43.025, usercpu_time_millis_testing: 2.078, usercpu_time_millis_training: 40.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9811, kappa: 0.806, kb_relative_information_score: 2766.6307, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5065, scimark_benchmark: 1819.8653, usercpu_time_millis: 35.236, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 33.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9833, kappa: 0.8356, kb_relative_information_score: 2840.8624, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9832, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2641, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5053, scimark_benchmark: 1751.8241, usercpu_time_millis: 45.975, usercpu_time_millis_testing: 1.679, usercpu_time_millis_training: 44.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9838, kappa: 0.8391, kb_relative_information_score: 3115.0964, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.48, scimark_benchmark: 1819.9868, usercpu_time_millis: 31.508, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 30.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9748, kappa: 0.753, kb_relative_information_score: 2069.3717, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.6325, scimark_benchmark: 1861.7123, usercpu_time_millis: 47.38, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 45.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9831, kappa: 0.8327, kb_relative_information_score: 3132.142, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.4973, scimark_benchmark: 1873.3076, usercpu_time_millis: 37.648, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 36.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9824, kappa: 0.8233, kb_relative_information_score: 2854.36, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.4906, scimark_benchmark: 1877.3377, usercpu_time_millis: 27.114, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 25.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9816, kappa: 0.813, kb_relative_information_score: 2534.5171, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9815, predictive_accuracy: 0.9822, prior_entropy: 0.3037, recall: 0.9822, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.5211, scimark_benchmark: 1871.1584, usercpu_time_millis: 34.628, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 33.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9777, kappa: 0.7781, kb_relative_information_score: 2201.5453, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9781, prior_entropy: 0.3037, recall: 0.9781, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.568, scimark_benchmark: 1872.9496, usercpu_time_millis: 33.967, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 32.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9683, kappa: 0.6727, kb_relative_information_score: 977.8214, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9678, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6988, scimark_benchmark: 1819.8653, usercpu_time_millis: 28.199, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 27.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 2973.4908, mean_absolute_error: 0.0262, 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: 0.2558, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4788, scimark_benchmark: 1874.4489, usercpu_time_millis: 36.714, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 34.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9839, kappa: 0.8391, kb_relative_information_score: 2953.4831, mean_absolute_error: 0.0268, 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: 0.2619, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4803, scimark_benchmark: 1822.607, usercpu_time_millis: 26.254, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 24.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9834, kappa: 0.8336, kb_relative_information_score: 2962.0288, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2767, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.4832, scimark_benchmark: 1853.2747, usercpu_time_millis: 36.19, usercpu_time_millis_testing: 1.991, usercpu_time_millis_training: 34.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3016.7644, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.4773, scimark_benchmark: 1870.557, usercpu_time_millis: 29.205, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 28.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9683, kappa: 0.6716, kb_relative_information_score: 967.0913, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9679, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.7011, scimark_benchmark: 1822.71, usercpu_time_millis: 23.377, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 22.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9791, kappa: 0.7838, kb_relative_information_score: 2331.1814, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9795, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.5469, scimark_benchmark: 1819.8653, usercpu_time_millis: 22.581, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 21.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9839, kappa: 0.8397, kb_relative_information_score: 3049.4685, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.4765, scimark_benchmark: 1867.4545, usercpu_time_millis: 44.328, usercpu_time_millis_testing: 1.924, usercpu_time_millis_training: 42.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9827, kappa: 0.8256, kb_relative_information_score: 2844.8344, mean_absolute_error: 0.0302, 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: 0.2955, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.4918, scimark_benchmark: 1872.4216, usercpu_time_millis: 20.06, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 19.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9704, kappa: 0.6876, kb_relative_information_score: 1517.7312, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9707, predictive_accuracy: 0.9727, prior_entropy: 0.3037, recall: 0.9727, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.6372, scimark_benchmark: 1874.5188, usercpu_time_millis: 24.26, usercpu_time_millis_testing: 1.558, usercpu_time_millis_training: 22.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9696, kappa: 0.6774, kb_relative_information_score: 1723.4116, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9703, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.6148, scimark_benchmark: 1824.695, usercpu_time_millis: 19.399, usercpu_time_millis_testing: 1.346, usercpu_time_millis_training: 18.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 2881.6296, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2787, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4886, scimark_benchmark: 1881.0567, usercpu_time_millis: 18.033, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 17.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9708, kappa: 0.6844, kb_relative_information_score: 1975.0568, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9731, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.5911, scimark_benchmark: 1837.0717, usercpu_time_millis: 29.345, usercpu_time_millis_testing: 2.308, usercpu_time_millis_training: 27.037,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 3016.2369, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9831, predictive_accuracy: 0.9837, prior_entropy: 0.3037, recall: 0.9837, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4826, scimark_benchmark: 1875.5079, usercpu_time_millis: 37.834, usercpu_time_millis_testing: 2.17, usercpu_time_millis_training: 35.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9823, kappa: 0.8196, kb_relative_information_score: 2802.3457, mean_absolute_error: 0.0315, 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: 0.3078, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.5035, scimark_benchmark: 1873.5991, usercpu_time_millis: 33.537, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 31.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9834, kappa: 0.833, kb_relative_information_score: 2942.3995, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.4864, scimark_benchmark: 1876.7581, usercpu_time_millis: 36.346, usercpu_time_millis_testing: 2.179, usercpu_time_millis_training: 34.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9817, kappa: 0.8205, kb_relative_information_score: 3194.0031, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2168, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.5146, scimark_benchmark: 1873.9387, usercpu_time_millis: 35.375, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 34.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9834, kappa: 0.8336, kb_relative_information_score: 2903.7713, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.4848, scimark_benchmark: 1872.9496, usercpu_time_millis: 34.88, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 32.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3030.6231, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2533, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4761, scimark_benchmark: 1868.1832, usercpu_time_millis: 43.191, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 41.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 3019.0803, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.48, scimark_benchmark: 1871.9601, usercpu_time_millis: 39.958, usercpu_time_millis_testing: 2.117, usercpu_time_millis_training: 37.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.974, kappa: 0.7249, kb_relative_information_score: 2468.2635, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9751, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5554, scimark_benchmark: 1876.7581, usercpu_time_millis: 42.559, usercpu_time_millis_testing: 3.584, usercpu_time_millis_training: 38.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9785, kappa: 0.7756, kb_relative_information_score: 2607.4275, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.5298, scimark_benchmark: 1842.4703, usercpu_time_millis: 19.02, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 17.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 3.0526, 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: 0.9988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1824.695, usercpu_time_millis: 5.033, usercpu_time_millis_testing: 1.063, usercpu_time_millis_training: 3.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9706, kappa: 0.6816, kb_relative_information_score: 2207.1938, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9733, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.5901, scimark_benchmark: 1833.0594, usercpu_time_millis: 17.054, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 15.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9824, kappa: 0.8226, kb_relative_information_score: 2797.1129, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.2925, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.112, root_relative_squared_error: 0.4958, scimark_benchmark: 1877.2162, usercpu_time_millis: 27.162, usercpu_time_millis_testing: 1.406, usercpu_time_millis_training: 25.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9841, kappa: 0.8433, kb_relative_information_score: 2970.1273, mean_absolute_error: 0.0258, 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: 0.2527, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.4893, scimark_benchmark: 1871.3925, usercpu_time_millis: 11.959, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 11.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9845, kappa: 0.8451, kb_relative_information_score: 3053.2278, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.4758, scimark_benchmark: 1864.8991, usercpu_time_millis: 45.822, usercpu_time_millis_testing: 2.13, usercpu_time_millis_training: 43.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9818, kappa: 0.8156, kb_relative_information_score: 2846.3593, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9817, predictive_accuracy: 0.9824, prior_entropy: 0.3037, recall: 0.9824, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.4932, scimark_benchmark: 1871.3925, usercpu_time_millis: 10.618, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 9.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9826, kappa: 0.8244, kb_relative_information_score: 2810.6546, mean_absolute_error: 0.0305, 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: 0.2984, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.4945, scimark_benchmark: 1860.6133, usercpu_time_millis: 34.834, usercpu_time_millis_testing: 1.909, usercpu_time_millis_training: 32.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9809, kappa: 0.8088, kb_relative_information_score: 2445.9417, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9807, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.5338, scimark_benchmark: 1870.9768, usercpu_time_millis: 9.651, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 9.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9666, kappa: 0.6312, kb_relative_information_score: 1836.805, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9711, prior_entropy: 0.3037, recall: 0.9711, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6217, scimark_benchmark: 1876.2965, usercpu_time_millis: 23.148, usercpu_time_millis_testing: 2.16, usercpu_time_millis_training: 20.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9198, kb_relative_information_score: -14.685, 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: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1813.1985, usercpu_time_millis: 3.028, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 2.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9838, kappa: 0.8385, kb_relative_information_score: 2761.612, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.5015, scimark_benchmark: 1869.1727, usercpu_time_millis: 40.643, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 38.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.0745, 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: 1817.85, usercpu_time_millis: 3.485, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 2.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9198, kb_relative_information_score: -448.1153, mean_absolute_error: 0.083, 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: 0.8119, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.8422, scimark_benchmark: 1867.685, usercpu_time_millis: 8.392, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 7.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9745, kappa: 0.728, kb_relative_information_score: 2184.0013, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9761, predictive_accuracy: 0.9769, prior_entropy: 0.3037, recall: 0.9769, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.574, scimark_benchmark: 1850.2875, usercpu_time_millis: 12.19, usercpu_time_millis_testing: 0.858, usercpu_time_millis_training: 11.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9431, kappa: 0.324, kb_relative_information_score: 401.4541, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9579, predictive_accuracy: 0.9568, prior_entropy: 0.3037, recall: 0.9568, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7616, scimark_benchmark: 1866.8535, usercpu_time_millis: 6.912, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 6.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9793, kappa: 0.7856, kb_relative_information_score: 2695.8586, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9798, predictive_accuracy: 0.9806, prior_entropy: 0.3037, recall: 0.9806, relative_absolute_error: 0.3418, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.5187, scimark_benchmark: 1845.1568, usercpu_time_millis: 24.674, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 22.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.9198, kb_relative_information_score: -1134.3692, mean_absolute_error: 0.1, 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: 0.9782, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.9817, scimark_benchmark: 1867.6156, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 1.068, usercpu_time_millis_training: 7.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9734, kappa: 0.7213, kb_relative_information_score: 2000.7331, mean_absolute_error: 0.0431, 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: 0.4217, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.5764, scimark_benchmark: 1863.0965, usercpu_time_millis: 6.364, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 5.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9843, kappa: 0.8445, kb_relative_information_score: 2991.2404, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9845, prior_entropy: 0.3037, recall: 0.9845, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4852, scimark_benchmark: 1873.9387, usercpu_time_millis: 9.54, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 9.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9812, kappa: 0.8082, kb_relative_information_score: 2387.3775, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.537, scimark_benchmark: 1875.3104, usercpu_time_millis: 17.86, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 17.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9757, kappa: 0.7418, kb_relative_information_score: 2331.5197, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9773, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.5566, scimark_benchmark: 1876.6882, usercpu_time_millis: 14.758, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 13.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9805, kappa: 0.8005, kb_relative_information_score: 2736.5156, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5063, scimark_benchmark: 1836.9989, usercpu_time_millis: 12.087, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 11.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9456, kappa: 0.3582, kb_relative_information_score: 255.7093, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 0.3037, recall: 0.958, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.7804, scimark_benchmark: 1870.8644, usercpu_time_millis: 2.572, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 2.403,

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