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: 0.9889, f_measure: 0.9833, kappa: 0.8318, kb_relative_information_score: 2989.2421, mean_absolute_error: 0.0279, 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: 0.2727, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.109, root_relative_squared_error: 0.4825, scimark_benchmark: 1870.4545, usercpu_time_millis: 32.338, usercpu_time_millis_testing: 1.898, usercpu_time_millis_training: 30.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9843, kappa: 0.8433, kb_relative_information_score: 3057.7115, mean_absolute_error: 0.0253, 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: 0.2478, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.4752, scimark_benchmark: 1872.4881, usercpu_time_millis: 27.682, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 26.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9818, kappa: 0.8212, kb_relative_information_score: 2674.8705, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.3037, recall: 0.9818, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.5328, scimark_benchmark: 1864.8991, usercpu_time_millis: 30.862, usercpu_time_millis_testing: 1.065, usercpu_time_millis_training: 29.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9812, kappa: 0.8154, kb_relative_information_score: 3216.9364, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.3037, recall: 0.9812, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.5382, scimark_benchmark: 1871.8964, usercpu_time_millis: 27.11, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 26.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3065.8193, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782, scimark_benchmark: 1870.9126, usercpu_time_millis: 30.018, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 28.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9651, kappa: 0.6135, kb_relative_information_score: 1535.4903, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9696, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5401, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.6416, scimark_benchmark: 1877.2162, usercpu_time_millis: 24.083, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 22.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9832, kappa: 0.8312, kb_relative_information_score: 2912.3945, mean_absolute_error: 0.029, 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: 0.2833, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.4854, scimark_benchmark: 1870.2139, usercpu_time_millis: 43.387, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 41.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9831, kappa: 0.8327, kb_relative_information_score: 3133.8629, 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: 0.2227, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4994, scimark_benchmark: 1873.4078, usercpu_time_millis: 29.728, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 28.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9812, kappa: 0.8082, kb_relative_information_score: 2544.0455, mean_absolute_error: 0.0341, 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: 0.3337, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.118, root_relative_squared_error: 0.5224, scimark_benchmark: 1868.6447, usercpu_time_millis: 27.112, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 25.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9831, kappa: 0.8313, kb_relative_information_score: 2706.6863, mean_absolute_error: 0.031, 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: 0.303, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5052, scimark_benchmark: 1876.7581, usercpu_time_millis: 25.947, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 24.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9619, kappa: 0.5755, kb_relative_information_score: 1124.4368, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9663, predictive_accuracy: 0.9676, prior_entropy: 0.3037, recall: 0.9676, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6864, scimark_benchmark: 1872.9496, usercpu_time_millis: 29.037, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 26.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9682, kappa: 0.67, kb_relative_information_score: 919.9885, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9677, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.162, root_relative_squared_error: 0.7171, scimark_benchmark: 1872.7767, usercpu_time_millis: 27.903, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 26.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3006.3946, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4783, scimark_benchmark: 1835.093, usercpu_time_millis: 42.008, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 39.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 3066.4623, mean_absolute_error: 0.0241, 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: 0.236, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4814, scimark_benchmark: 1872.9496, usercpu_time_millis: 19.352, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 18.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9682, kappa: 0.67, kb_relative_information_score: 1048.0467, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9677, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.7124, scimark_benchmark: 1872.4881, usercpu_time_millis: 19.592, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 18.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9769, kappa: 0.7579, kb_relative_information_score: 2494.4548, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9775, predictive_accuracy: 0.9785, prior_entropy: 0.3037, recall: 0.9785, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.5388, scimark_benchmark: 1872.4216, usercpu_time_millis: 18.547, usercpu_time_millis_testing: 1.461, usercpu_time_millis_training: 17.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9846, kappa: 0.8458, kb_relative_information_score: 3096.4839, mean_absolute_error: 0.0256, 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: 0.2508, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.483, scimark_benchmark: 1870.6304, usercpu_time_millis: 18.131, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 17.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.974, kappa: 0.7237, kb_relative_information_score: 2381.0174, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9752, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5586, scimark_benchmark: 1868.7577, usercpu_time_millis: 29.948, usercpu_time_millis_testing: 2.4, usercpu_time_millis_training: 27.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9566, kappa: 0.5051, kb_relative_information_score: 760.0694, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9643, predictive_accuracy: 0.9645, prior_entropy: 0.3037, recall: 0.9645, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.7252, scimark_benchmark: 1869.4196, usercpu_time_millis: 22.443, usercpu_time_millis_testing: 2.234, usercpu_time_millis_training: 20.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9669, kappa: 0.6412, kb_relative_information_score: 1078.1364, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.158, root_relative_squared_error: 0.6996, scimark_benchmark: 1866.1679, usercpu_time_millis: 15.969, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 14.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9725, kappa: 0.7161, kb_relative_information_score: 1987.501, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9722, predictive_accuracy: 0.974, prior_entropy: 0.3037, recall: 0.974, relative_absolute_error: 0.4178, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.133, root_relative_squared_error: 0.5886, scimark_benchmark: 1869.1029, usercpu_time_millis: 21.529, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 20.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9842, kappa: 0.8415, kb_relative_information_score: 3050.9641, mean_absolute_error: 0.0269, 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: 0.2632, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4798, scimark_benchmark: 1880.5985, usercpu_time_millis: 14.77, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 14.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9682, kappa: 0.6714, kb_relative_information_score: 940.307, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9677, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.7254, scimark_benchmark: 1873.4805, usercpu_time_millis: 15.813, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 15.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9742, kappa: 0.7272, kb_relative_information_score: 2164.8918, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.975, predictive_accuracy: 0.9762, prior_entropy: 0.3037, recall: 0.9762, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5612, scimark_benchmark: 1864.6011, usercpu_time_millis: 16.118, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 14.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9835, kappa: 0.8343, kb_relative_information_score: 3011.8162, mean_absolute_error: 0.0274, 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: 0.268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.481, scimark_benchmark: 1859.5273, usercpu_time_millis: 48.358, usercpu_time_millis_testing: 2.543, usercpu_time_millis_training: 45.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9835, kappa: 0.8349, kb_relative_information_score: 3043.2741, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9834, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4816, scimark_benchmark: 1857.8803, usercpu_time_millis: 19.696, usercpu_time_millis_testing: 1.159, usercpu_time_millis_training: 18.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9828, kappa: 0.8276, kb_relative_information_score: 2987.6934, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.482, scimark_benchmark: 1871.0479, usercpu_time_millis: 27.398, usercpu_time_millis_testing: 1.57, usercpu_time_millis_training: 25.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.979, kappa: 0.782, kb_relative_information_score: 2661.9523, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9796, predictive_accuracy: 0.9804, prior_entropy: 0.3037, recall: 0.9804, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.523, scimark_benchmark: 1872.4216, usercpu_time_millis: 29.927, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 27.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9786, kappa: 0.7784, kb_relative_information_score: 2625.7427, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9791, predictive_accuracy: 0.98, prior_entropy: 0.3037, recall: 0.98, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.118, root_relative_squared_error: 0.5223, scimark_benchmark: 1871.9601, usercpu_time_millis: 27.223, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 25.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9836, kappa: 0.8348, kb_relative_information_score: 2897.0258, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.4882, scimark_benchmark: 1872.9496, usercpu_time_millis: 12.575, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 11.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9793, kappa: 0.788, kb_relative_information_score: 2339.7618, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9792, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.5382, scimark_benchmark: 1868.705, usercpu_time_millis: 18.304, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 16.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9811, kappa: 0.8067, kb_relative_information_score: 2396.1133, mean_absolute_error: 0.0368, 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: 0.3604, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.5363, scimark_benchmark: 1850.4811, usercpu_time_millis: 38.802, usercpu_time_millis_testing: 2.542, usercpu_time_millis_training: 36.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9696, kappa: 0.67, kb_relative_information_score: 2014.3896, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9723, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.5947, scimark_benchmark: 1867.1358, usercpu_time_millis: 33.388, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 30.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9224, kappa: 0.0356, kb_relative_information_score: 40.7185, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9499, predictive_accuracy: 0.9471, prior_entropy: 0.3037, recall: 0.9471, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.181, root_relative_squared_error: 0.8015, scimark_benchmark: 1869.3133, usercpu_time_millis: 16.755, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 15.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3101.9168, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.4803, scimark_benchmark: 1876.7581, usercpu_time_millis: 36.259, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 34.929,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9685, kappa: 0.6567, kb_relative_information_score: 1769.8313, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9715, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.6125, scimark_benchmark: 1870.6721, usercpu_time_millis: 19.529, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 18.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.984, kappa: 0.8397, kb_relative_information_score: 2979.1051, mean_absolute_error: 0.0261, 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: 0.255, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.108, root_relative_squared_error: 0.4782, scimark_benchmark: 1834.0485, usercpu_time_millis: 39.765, usercpu_time_millis_testing: 1.937, usercpu_time_millis_training: 37.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9198, kb_relative_information_score: -10.6678, 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: 1866.6776, usercpu_time_millis: 5.537, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 4.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9198, kb_relative_information_score: -153.5513, mean_absolute_error: 0.0797, 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: 0.7795, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.8158, scimark_benchmark: 1869.9448, usercpu_time_millis: 4.81, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 4.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9198, kb_relative_information_score: -2.4729, 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: 1861.9586, usercpu_time_millis: 5.335, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 4.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9833, kappa: 0.8356, kb_relative_information_score: 2783.3839, mean_absolute_error: 0.0284, 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: 0.2777, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.5037, scimark_benchmark: 1872.4881, usercpu_time_millis: 28.994, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 28.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9807, kappa: 0.8023, kb_relative_information_score: 2817.2467, mean_absolute_error: 0.0326, 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: 0.3193, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.5058, scimark_benchmark: 1870.9768, usercpu_time_millis: 43.097, usercpu_time_millis_testing: 3.018, usercpu_time_millis_training: 40.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9682, kappa: 0.6724, kb_relative_information_score: 859.4441, mean_absolute_error: 0.0513, 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: 0.5014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7053, scimark_benchmark: 1878.3273, usercpu_time_millis: 29.482, usercpu_time_millis_testing: 1.056, usercpu_time_millis_training: 28.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9723, kappa: 0.7021, kb_relative_information_score: 2085.3571, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9745, predictive_accuracy: 0.9752, prior_entropy: 0.3037, recall: 0.9752, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.5874, scimark_benchmark: 1872.3546, usercpu_time_millis: 18.37, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 16.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9686, kappa: 0.6596, kb_relative_information_score: 1726.0423, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6214, scimark_benchmark: 1683.0505, usercpu_time_millis: 9.258, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 8.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9815, kappa: 0.8123, kb_relative_information_score: 2783.5366, mean_absolute_error: 0.0301, 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: 0.2944, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.4989, scimark_benchmark: 1876.2965, usercpu_time_millis: 24.58, usercpu_time_millis_testing: 1.655, usercpu_time_millis_training: 22.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9828, kappa: 0.8284, kb_relative_information_score: 2429.9682, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9826, predictive_accuracy: 0.9831, prior_entropy: 0.3037, recall: 0.9831, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.5375, scimark_benchmark: 1864.8991, usercpu_time_millis: 19.924, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 19.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9814, kappa: 0.8093, kb_relative_information_score: 2730.4752, mean_absolute_error: 0.0306, 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: 0.2989, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5085, scimark_benchmark: 1868.4434, usercpu_time_millis: 0.759, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9683, kappa: 0.6727, kb_relative_information_score: 901.4253, mean_absolute_error: 0.0535, 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: 0.523, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.7097, scimark_benchmark: 1862.478, usercpu_time_millis: 10.737, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 10.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9679, kappa: 0.666, kb_relative_information_score: 1079.2869, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9676, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.7042, scimark_benchmark: 1829.0777, usercpu_time_millis: 22.599, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 21.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9766, kappa: 0.7585, kb_relative_information_score: 2261.1983, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9767, predictive_accuracy: 0.9779, prior_entropy: 0.3037, recall: 0.9779, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.5464, scimark_benchmark: 1829.5358, usercpu_time_millis: 21.825, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 20.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9683, kappa: 0.6727, kb_relative_information_score: 1240.6915, mean_absolute_error: 0.0526, 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: 0.5145, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.6784, scimark_benchmark: 1868.1196, usercpu_time_millis: 7.362, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 7.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9839, kappa: 0.8379, kb_relative_information_score: 2954.6622, mean_absolute_error: 0.0275, 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: 0.2693, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.4816, scimark_benchmark: 1836.9989, usercpu_time_millis: 32.929, usercpu_time_millis_testing: 1.832, usercpu_time_millis_training: 31.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9811, kappa: 0.8052, kb_relative_information_score: 2784.0085, mean_absolute_error: 0.0334, 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: 0.3265, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1146, root_relative_squared_error: 0.5074, scimark_benchmark: 1872.9496, usercpu_time_millis: 27.812, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 26.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.9198, kb_relative_information_score: -3897.8742, mean_absolute_error: 0.093, 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: 0.9095, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.9307, scimark_benchmark: 1873.4805, usercpu_time_millis: 14.69, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 13.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.9198, kb_relative_information_score: -102.5249, mean_absolute_error: 0.1023, 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: 1.001, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.9198, kb_relative_information_score: -1734.5, 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: 0.9642, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2192, root_relative_squared_error: 0.9702, scimark_benchmark: 1866.1582, usercpu_time_millis: 6.455, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 5.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9198, kb_relative_information_score: -124.1447, mean_absolute_error: 0.0788, 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: 0.7708, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.8109, scimark_benchmark: 1872.9496, usercpu_time_millis: 5.269, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9666, kappa: 0.6312, kb_relative_information_score: 1907.1638, mean_absolute_error: 0.0516, 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: 0.5046, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.6277, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9798, kappa: 0.7911, kb_relative_information_score: 2757.731, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.5131, scimark_benchmark: 1868.2531, usercpu_time_millis: 12.922, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 12.043,
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: 0.9902, f_measure: 0.9841, kappa: 0.8409, kb_relative_information_score: 2961.3223, mean_absolute_error: 0.0279, 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: 0.273, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4822, scimark_benchmark: 1877.2162, usercpu_time_millis: 3.41, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 3.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.9198, kb_relative_information_score: -2.1749, 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: 1865.4271, usercpu_time_millis: 3.494, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 3.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9841, kappa: 0.8427, kb_relative_information_score: 3043.8324, 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: 0.238, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4821, scimark_benchmark: 1877.2162, usercpu_time_millis: 15.314, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 14.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9198, kb_relative_information_score: -1125.603, mean_absolute_error: 0.0995, 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: 0.9732, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.9759, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.874, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9672, kappa: 0.6415, kb_relative_information_score: 1592.9014, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9702, predictive_accuracy: 0.9713, prior_entropy: 0.3037, recall: 0.9713, relative_absolute_error: 0.5167, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.6314, scimark_benchmark: 1873.4078, usercpu_time_millis: 13.562, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 12.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9812, kappa: 0.8075, kb_relative_information_score: 2735.3737, mean_absolute_error: 0.0336, 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: 0.3286, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.5096, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.545, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 3.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9198, kb_relative_information_score: -180.053, mean_absolute_error: 0.0772, 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: 0.7553, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.7991, scimark_benchmark: 1869.9351, usercpu_time_millis: 14.068, usercpu_time_millis_testing: 1.531, usercpu_time_millis_training: 12.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9787, kappa: 0.7775, kb_relative_information_score: 2617.9239, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9794, predictive_accuracy: 0.9802, prior_entropy: 0.3037, recall: 0.9802, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.527, scimark_benchmark: 1868.8974, usercpu_time_millis: 6.91, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 6.41,

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