Task
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3058 Supervised Classification grub-damage 303 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.6598, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.0693, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.3594, kappa: 0.1202, kb_relative_information_score: 8.4805, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3522, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0785, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.4852, kappa: 0.3043, kb_relative_information_score: 15.2285, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.492, predictive_accuracy: 0.4902, prior_entropy: 1.9281, recall: 0.4902, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0126, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.3326, kappa: 0.0921, kb_relative_information_score: 8.847, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3423, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1241, scimark_benchmark: 936.3373, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.6598, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.0693, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.3594, kappa: 0.1202, kb_relative_information_score: 8.4805, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3522, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0785, scimark_benchmark: 906.5979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 919.3788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.4852, kappa: 0.3043, kb_relative_information_score: 15.2285, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.492, predictive_accuracy: 0.4902, prior_entropy: 1.9281, recall: 0.4902, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0126, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.3326, kappa: 0.0921, kb_relative_information_score: 8.847, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3423, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1241, scimark_benchmark: 934.695, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 936.3213, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.3312, kappa: 0.1006, kb_relative_information_score: 8.6317, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3544, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4461, root_relative_squared_error: 1.0496, scimark_benchmark: 938.988, usercpu_time_millis: 2550, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.3451, kappa: 0.0917, kb_relative_information_score: 9.4829, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3719, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.0482, scimark_benchmark: 901.4991, usercpu_time_millis: 1390, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3605, kappa: 0.1184, kb_relative_information_score: 10.1778, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3829, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4382, root_relative_squared_error: 1.031, scimark_benchmark: 939.7241, usercpu_time_millis: 590, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.3767, kappa: 0.1535, kb_relative_information_score: 10.1319, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4093, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4376, root_relative_squared_error: 1.0296, scimark_benchmark: 914.3583, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.3208, kappa: 0.0585, kb_relative_information_score: 9.6076, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3363, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4621, root_relative_squared_error: 1.0872, scimark_benchmark: 936.7184, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1036, kb_relative_information_score: 0.3496, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.065, predictive_accuracy: 0.2549, prior_entropy: 1.9281, recall: 0.2549, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0042, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.2427, kappa: 0.0599, kb_relative_information_score: 4.2049, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.1827, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.009, scimark_benchmark: 936.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.2427, kappa: 0.0599, kb_relative_information_score: 4.2049, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.1827, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.009, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.2427, kappa: 0.0599, kb_relative_information_score: 4.2049, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.1827, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.009, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.2427, kappa: 0.0599, kb_relative_information_score: 4.2049, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.1827, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.009, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.2427, kappa: 0.0599, kb_relative_information_score: 4.2049, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.1827, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.009, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1036, kb_relative_information_score: 2.9003, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.065, predictive_accuracy: 0.2549, prior_entropy: 1.9281, recall: 0.2549, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.6104, root_relative_squared_error: 1.4361, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.3609, kappa: 0.1429, kb_relative_information_score: 4.5312, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3851, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.003, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.352, kappa: 0.1225, kb_relative_information_score: 7.2107, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3691, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.448, root_relative_squared_error: 1.0542, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.2735, kappa: 0.0416, kb_relative_information_score: 3.1212, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.2361, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9939, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.6598, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.0693, scimark_benchmark: 926.4745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 1329.5628, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.3594, kappa: 0.1202, kb_relative_information_score: 8.4805, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3522, predictive_accuracy: 0.3725, prior_entropy: 1.9281, recall: 0.3725, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0785, scimark_benchmark: 1306.5596, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 1348.1311, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 1336.2908, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 1341.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 1253.0071, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.3818, kappa: 0.2124, kb_relative_information_score: 14.7812, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4197, predictive_accuracy: 0.451, prior_entropy: 1.9281, recall: 0.451, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.2327, scimark_benchmark: 1316.2665, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6172, f_measure: 0.3862, kappa: 0.1876, kb_relative_information_score: 9.764, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.4187, predictive_accuracy: 0.3922, prior_entropy: 1.9281, recall: 0.3922, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.0433, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.3326, kappa: 0.0921, kb_relative_information_score: 8.847, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3423, predictive_accuracy: 0.3333, prior_entropy: 1.9281, recall: 0.3333, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.1241, scimark_benchmark: 1354.3488, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.3409, kappa: 0.1369, kb_relative_information_score: 8.8001, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3609, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0774, scimark_benchmark: 942.9708, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.3529, kappa: 0.0971, kb_relative_information_score: 10.6598, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3605, predictive_accuracy: 0.3529, prior_entropy: 1.9281, recall: 0.3529, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4545, root_relative_squared_error: 1.0693, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.4852, kappa: 0.3043, kb_relative_information_score: 15.2285, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.492, predictive_accuracy: 0.4902, prior_entropy: 1.9281, recall: 0.4902, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4304, root_relative_squared_error: 1.0126, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.2997, kappa: 0.0722, kb_relative_information_score: 9.3968, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.3627, number_of_instances: 51, precision: 0.3059, predictive_accuracy: 0.3137, prior_entropy: 1.9281, recall: 0.3137, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.425, root_mean_squared_error: 0.4924, root_relative_squared_error: 1.1585, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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