Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 3846 Supervised Classification cmc 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6425, kappa: 0.2657, kb_relative_information_score: 263.727, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6449, predictive_accuracy: 0.6497, prior_entropy: 0.9846, recall: 0.6497, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6877, kappa: 0.3599, kb_relative_information_score: 301.002, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6872, predictive_accuracy: 0.6891, prior_entropy: 0.9846, recall: 0.6891, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7088, kappa: 0.4037, kb_relative_information_score: 382.7876, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7228, predictive_accuracy: 0.7189, prior_entropy: 0.9846, recall: 0.7189, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6493, kappa: 0.2795, kb_relative_information_score: 270.9462, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6507, predictive_accuracy: 0.6551, prior_entropy: 0.9846, recall: 0.6551, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7072, kappa: 0.3997, kb_relative_information_score: 376.7627, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7183, predictive_accuracy: 0.7162, prior_entropy: 0.9846, recall: 0.7162, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.602, kappa: 0.1832, kb_relative_information_score: 210.6003, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6046, predictive_accuracy: 0.6124, prior_entropy: 0.9846, recall: 0.6124, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.6512, kappa: 0.2846, kb_relative_information_score: 402.4743, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6505, predictive_accuracy: 0.6531, prior_entropy: 0.9846, recall: 0.6531, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6937, kappa: 0.3711, kb_relative_information_score: 345.4438, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.694, predictive_accuracy: 0.6965, prior_entropy: 0.9846, recall: 0.6965, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6971, kappa: 0.3847, kb_relative_information_score: 316.8371, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7282, predictive_accuracy: 0.7142, prior_entropy: 0.9846, recall: 0.7142, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.6513, kappa: 0.2866, kb_relative_information_score: 304.2912, mean_absolute_error: 0.3956, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6629, predictive_accuracy: 0.6646, prior_entropy: 0.9846, recall: 0.6646, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.6663, kappa: 0.3196, kb_relative_information_score: 228.5295, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.686, predictive_accuracy: 0.6823, prior_entropy: 0.9846, recall: 0.6823, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, f_measure: 0.6077, kappa: 0.1968, kb_relative_information_score: 211.9119, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6145, predictive_accuracy: 0.6219, prior_entropy: 0.9846, recall: 0.6219, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.5795, kappa: 0.1784, kb_relative_information_score: 102.2505, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6489, predictive_accuracy: 0.6307, prior_entropy: 0.9846, recall: 0.6307, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6643, kappa: 0.3149, kb_relative_information_score: 474.6564, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6819, predictive_accuracy: 0.6796, prior_entropy: 0.9846, recall: 0.6796, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.0744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6791, kappa: 0.3407, kb_relative_information_score: 385.4208, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6805, predictive_accuracy: 0.6836, prior_entropy: 0.9846, recall: 0.6836, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.661, kappa: 0.3127, kb_relative_information_score: 211.3678, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6904, predictive_accuracy: 0.6816, prior_entropy: 0.9846, recall: 0.6816, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4174, kb_relative_information_score: -0.0315, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4946, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6771, kappa: 0.3367, kb_relative_information_score: 379.2448, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6778, predictive_accuracy: 0.6809, prior_entropy: 0.9846, recall: 0.6809, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.467, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6411, kappa: 0.2651, kb_relative_information_score: 204.9291, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6502, predictive_accuracy: 0.6538, prior_entropy: 0.9846, recall: 0.6538, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6045, kappa: 0.1893, kb_relative_information_score: 218.1385, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6093, predictive_accuracy: 0.6171, prior_entropy: 0.9846, recall: 0.6171, relative_absolute_error: 0.8564, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6497, kappa: 0.2806, kb_relative_information_score: 277.115, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6528, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.683, kappa: 0.349, kb_relative_information_score: 386.5565, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6874, predictive_accuracy: 0.6897, prior_entropy: 0.9846, recall: 0.6897, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.683, kappa: 0.349, kb_relative_information_score: 386.5565, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6874, predictive_accuracy: 0.6897, prior_entropy: 0.9846, recall: 0.6897, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6478, kappa: 0.2764, kb_relative_information_score: 275.2901, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6499, predictive_accuracy: 0.6544, prior_entropy: 0.9846, recall: 0.6544, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6499, kappa: 0.2892, kb_relative_information_score: 255.8514, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6748, predictive_accuracy: 0.6701, prior_entropy: 0.9846, recall: 0.6701, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6532, kappa: 0.2968, kb_relative_information_score: 482.8367, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.681, predictive_accuracy: 0.6741, prior_entropy: 0.9846, recall: 0.6741, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.1541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6467, kappa: 0.2742, kb_relative_information_score: 264.2215, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6485, predictive_accuracy: 0.6531, prior_entropy: 0.9846, recall: 0.6531, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6299, f_measure: 0.6433, kappa: 0.2713, kb_relative_information_score: 435.3944, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6568, predictive_accuracy: 0.6585, prior_entropy: 0.9846, recall: 0.6585, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5844, root_relative_squared_error: 1.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kb_relative_information_score: 175.493, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6546, kappa: 0.2912, kb_relative_information_score: 351.0574, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6541, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.6764, kappa: 0.3352, kb_relative_information_score: 373.9254, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6784, predictive_accuracy: 0.6816, prior_entropy: 0.9846, recall: 0.6816, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6497, kappa: 0.2806, kb_relative_information_score: 277.115, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6528, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9579, scimark_benchmark: 1157.0987, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6979, kappa: 0.3819, kb_relative_information_score: 590.0976, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7135, predictive_accuracy: 0.7094, prior_entropy: 0.9846, recall: 0.7094, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.7095, kappa: 0.4034, kb_relative_information_score: 370.6833, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7147, predictive_accuracy: 0.7155, prior_entropy: 0.9846, recall: 0.7155, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.6714, kappa: 0.3303, kb_relative_information_score: 373.6314, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6724, predictive_accuracy: 0.6707, prior_entropy: 0.9846, recall: 0.6707, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6467, kappa: 0.2791, kb_relative_information_score: 411.794, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6473, predictive_accuracy: 0.6463, prior_entropy: 0.9846, recall: 0.6463, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.585, root_relative_squared_error: 1.1827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6893, kappa: 0.3643, kb_relative_information_score: 565.3451, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7045, predictive_accuracy: 0.7013, prior_entropy: 0.9846, recall: 0.7013, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5465, root_relative_squared_error: 1.1049, scimark_benchmark: 1280.301, usercpu_time_millis: 23453.125, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 23343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6669, kappa: 0.3221, kb_relative_information_score: 513.7773, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.69, predictive_accuracy: 0.6843, prior_entropy: 0.9846, recall: 0.6843, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.1359, scimark_benchmark: 1280.301, usercpu_time_millis: 390.625, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7153, kappa: 0.4168, kb_relative_information_score: 637.5399, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7295, predictive_accuracy: 0.7251, prior_entropy: 0.9846, recall: 0.7251, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0601, scimark_benchmark: 1461.2356, usercpu_time_millis: 421.875, usercpu_time_millis_testing: 187.5, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kb_relative_information_score: 175.493, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3211, scimark_benchmark: 1461.2356, usercpu_time_millis: 328.125, usercpu_time_millis_testing: 171.875, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6584, kappa: 0.3042, kb_relative_information_score: 220.3862, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6787, predictive_accuracy: 0.6755, prior_entropy: 0.9846, recall: 0.6755, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9527, scimark_benchmark: 1787.9841, usercpu_time_millis: 6187.5, usercpu_time_millis_training: 6187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6584, kappa: 0.3042, kb_relative_information_score: 220.3862, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6787, predictive_accuracy: 0.6755, prior_entropy: 0.9846, recall: 0.6755, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9527, scimark_benchmark: 1651.5058, usercpu_time_millis: 6540, usercpu_time_millis_training: 6540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kb_relative_information_score: 175.493, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3211, scimark_benchmark: 1522.1355, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4174, kb_relative_information_score: 175.493, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.3283, predictive_accuracy: 0.573, prior_entropy: 0.9846, recall: 0.573, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6535, root_relative_squared_error: 1.3211, scimark_benchmark: 1613.1066, usercpu_time_millis: 370, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.7153, kappa: 0.4168, kb_relative_information_score: 637.5399, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7295, predictive_accuracy: 0.7251, prior_entropy: 0.9846, recall: 0.7251, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0601, scimark_benchmark: 1347.8571, usercpu_time_millis: 500, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6439, kappa: 0.2753, kb_relative_information_score: 314.1226, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6456, predictive_accuracy: 0.6429, prior_entropy: 0.9846, recall: 0.6429, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0112, scimark_benchmark: 1671.2677, usercpu_time_millis: 6859.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 6843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6893, kappa: 0.3643, kb_relative_information_score: 565.3451, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7045, predictive_accuracy: 0.7013, prior_entropy: 0.9846, recall: 0.7013, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5465, root_relative_squared_error: 1.1049, scimark_benchmark: 1386.1973, usercpu_time_millis: 29060, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 28910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6532, f_measure: 0.6669, kappa: 0.3221, kb_relative_information_score: 513.7773, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.69, predictive_accuracy: 0.6843, prior_entropy: 0.9846, recall: 0.6843, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5619, root_relative_squared_error: 1.1359, scimark_benchmark: 1545.2968, usercpu_time_millis: 440, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6439, kappa: 0.2753, kb_relative_information_score: 314.1226, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6456, predictive_accuracy: 0.6429, prior_entropy: 0.9846, recall: 0.6429, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0112, scimark_benchmark: 1665.974, usercpu_time_millis: 640.625, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.6667, kappa: 0.3159, kb_relative_information_score: 390.0451, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6664, predictive_accuracy: 0.6694, prior_entropy: 0.9846, recall: 0.6694, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0149, scimark_benchmark: 1296.3496, usercpu_time_millis: 4840, usercpu_time_millis_training: 4840,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6497, kappa: 0.2806, kb_relative_information_score: 277.115, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6528, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9579, scimark_benchmark: 1463.0372, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6497, kappa: 0.2806, kb_relative_information_score: 277.115, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6528, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9579, scimark_benchmark: 1447.4212, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6643, kappa: 0.3149, kb_relative_information_score: 221.8984, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6819, predictive_accuracy: 0.6796, prior_entropy: 0.9846, recall: 0.6796, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9432, scimark_benchmark: 1315.2176, usercpu_time_millis: 840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6683, kappa: 0.3194, kb_relative_information_score: 253.5118, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6753, predictive_accuracy: 0.6775, prior_entropy: 0.9846, recall: 0.6775, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.926, scimark_benchmark: 1455.0351, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5829, kappa: 0.1471, kb_relative_information_score: 220.0497, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.5827, predictive_accuracy: 0.5832, prior_entropy: 0.9846, recall: 0.5832, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2804, scimark_benchmark: 1374.4389, usercpu_time_millis: 210, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.714, kappa: 0.4135, kb_relative_information_score: 364.9555, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7244, predictive_accuracy: 0.7223, prior_entropy: 0.9846, recall: 0.7223, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.876, scimark_benchmark: 995.8368, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6932, kappa: 0.37, kb_relative_information_score: 335.1585, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6983, predictive_accuracy: 0.6999, prior_entropy: 0.9846, recall: 0.6999, relative_absolute_error: 0.7969, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9124, scimark_benchmark: 944.8226, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.6494, kappa: 0.2893, kb_relative_information_score: 472.5232, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6769, predictive_accuracy: 0.6707, prior_entropy: 0.9846, recall: 0.6707, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.16, scimark_benchmark: 1618.1738, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 480.774, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6929, predictive_accuracy: 0.6735, prior_entropy: 0.9846, recall: 0.6735, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.1553, scimark_benchmark: 1618.1738, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6806, kappa: 0.3472, kb_relative_information_score: 350.4285, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.697, predictive_accuracy: 0.6938, prior_entropy: 0.9846, recall: 0.6938, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9193, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.6535, kappa: 0.289, kb_relative_information_score: 352.1373, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6529, predictive_accuracy: 0.6558, prior_entropy: 0.9846, recall: 0.6558, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9431, scimark_benchmark: 1925.3565, usercpu_time_millis: 375, usercpu_time_millis_testing: 156.25, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6425, kappa: 0.2657, kb_relative_information_score: 263.727, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6449, predictive_accuracy: 0.6497, prior_entropy: 0.9846, recall: 0.6497, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9636, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6824, kappa: 0.3477, kb_relative_information_score: 385.2423, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6866, predictive_accuracy: 0.6891, prior_entropy: 0.9846, recall: 0.6891, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.952, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6497, kappa: 0.2806, kb_relative_information_score: 277.115, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6528, predictive_accuracy: 0.6572, prior_entropy: 0.9846, recall: 0.6572, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9579, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.6509, kappa: 0.2922, kb_relative_information_score: 476.6486, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6786, predictive_accuracy: 0.6721, prior_entropy: 0.9846, recall: 0.6721, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1577, scimark_benchmark: 1925.3565, usercpu_time_millis: 234.375, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.6429, kappa: 0.2857, kb_relative_information_score: 480.774, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6929, predictive_accuracy: 0.6735, prior_entropy: 0.9846, recall: 0.6735, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5714, root_relative_squared_error: 1.1553, scimark_benchmark: 1925.3565, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.6643, kappa: 0.3149, kb_relative_information_score: 221.8976, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6819, predictive_accuracy: 0.6796, prior_entropy: 0.9846, recall: 0.6796, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.9432, scimark_benchmark: 1925.3565, usercpu_time_millis: 578.125, usercpu_time_millis_training: 578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6683, kappa: 0.3194, kb_relative_information_score: 253.5118, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6753, predictive_accuracy: 0.6775, prior_entropy: 0.9846, recall: 0.6775, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.926, scimark_benchmark: 1925.3565, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5829, kappa: 0.1471, kb_relative_information_score: 220.0497, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.5827, predictive_accuracy: 0.5832, prior_entropy: 0.9846, recall: 0.5832, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.6334, root_relative_squared_error: 1.2804, scimark_benchmark: 1925.3565, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.714, kappa: 0.4135, kb_relative_information_score: 364.9555, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7244, predictive_accuracy: 0.7223, prior_entropy: 0.9846, recall: 0.7223, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.876, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.6954, kappa: 0.3744, kb_relative_information_score: 354.7787, mean_absolute_error: 0.3834, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7005, predictive_accuracy: 0.702, prior_entropy: 0.9846, recall: 0.702, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9031, scimark_benchmark: 1892.0925, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.6806, kappa: 0.3472, kb_relative_information_score: 350.4285, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.697, predictive_accuracy: 0.6938, prior_entropy: 0.9846, recall: 0.6938, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9193, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6508, kappa: 0.2837, kb_relative_information_score: 348.501, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6502, predictive_accuracy: 0.6531, prior_entropy: 0.9846, recall: 0.6531, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9469, scimark_benchmark: 1892.0925, usercpu_time_millis: 343.75, usercpu_time_millis_testing: 78.125, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.6425, kappa: 0.2657, kb_relative_information_score: 263.727, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6449, predictive_accuracy: 0.6497, prior_entropy: 0.9846, recall: 0.6497, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9636, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6824, kappa: 0.3477, kb_relative_information_score: 385.2423, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6866, predictive_accuracy: 0.6891, prior_entropy: 0.9846, recall: 0.6891, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.952, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6683, kappa: 0.3194, kb_relative_information_score: 253.5118, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6753, predictive_accuracy: 0.6775, prior_entropy: 0.9846, recall: 0.6775, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.926, scimark_benchmark: 1834.908, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7072, kappa: 0.3997, kb_relative_information_score: 376.7627, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7183, predictive_accuracy: 0.7162, prior_entropy: 0.9846, recall: 0.7162, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8915, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.6635, kappa: 0.3133, kb_relative_information_score: 223.7239, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6812, predictive_accuracy: 0.6789, prior_entropy: 0.9846, recall: 0.6789, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4663, root_relative_squared_error: 0.9427, scimark_benchmark: 1834.908, usercpu_time_millis: 578.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.714, kappa: 0.4135, kb_relative_information_score: 364.9555, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7244, predictive_accuracy: 0.7223, prior_entropy: 0.9846, recall: 0.7223, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.876, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.714, kappa: 0.4135, kb_relative_information_score: 364.9555, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7244, predictive_accuracy: 0.7223, prior_entropy: 0.9846, recall: 0.7223, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.876, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.6882, kappa: 0.362, kb_relative_information_score: 314.247, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7025, predictive_accuracy: 0.6999, prior_entropy: 0.9846, recall: 0.6999, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8955, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6883, kappa: 0.3598, kb_relative_information_score: 304.3001, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6933, predictive_accuracy: 0.6952, prior_entropy: 0.9846, recall: 0.6952, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9143, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6696, kappa: 0.3224, kb_relative_information_score: 227.8523, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6779, predictive_accuracy: 0.6796, prior_entropy: 0.9846, recall: 0.6796, relative_absolute_error: 0.8696, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9351, scimark_benchmark: 1788.6668, usercpu_time_millis: 343.75, usercpu_time_millis_training: 343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.6428, kappa: 0.2675, kb_relative_information_score: 192.8959, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6497, predictive_accuracy: 0.6538, prior_entropy: 0.9846, recall: 0.6538, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9449, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.6312, kappa: 0.2452, kb_relative_information_score: 394.1402, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6405, predictive_accuracy: 0.6449, prior_entropy: 0.9846, recall: 0.6449, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.2046, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.6511, kappa: 0.2925, kb_relative_information_score: 476.6486, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6783, predictive_accuracy: 0.6721, prior_entropy: 0.9846, recall: 0.6721, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5726, root_relative_squared_error: 1.1577, scimark_benchmark: 941.742, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.6683, kappa: 0.3194, kb_relative_information_score: 253.5118, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6753, predictive_accuracy: 0.6775, prior_entropy: 0.9846, recall: 0.6775, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.926, scimark_benchmark: 955.3912, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7072, kappa: 0.3997, kb_relative_information_score: 376.7627, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.7183, predictive_accuracy: 0.7162, prior_entropy: 0.9846, recall: 0.7162, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8915, scimark_benchmark: 1116.042, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.6738, kappa: 0.3308, kb_relative_information_score: 330.3534, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6812, predictive_accuracy: 0.683, prior_entropy: 0.9846, recall: 0.683, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9167, scimark_benchmark: 1447.2612, usercpu_time_millis: 125, usercpu_time_millis_testing: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.6495, kappa: 0.2809, kb_relative_information_score: 345.6799, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.6488, predictive_accuracy: 0.6517, prior_entropy: 0.9846, recall: 0.6517, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9745, scimark_benchmark: 1840.6094, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, f_measure: 0.5683, kappa: 0.1581, kb_relative_information_score: 214.9665, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4894, number_of_instances: 1473, precision: 0.5959, predictive_accuracy: 0.5689, prior_entropy: 0.9846, recall: 0.5689, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4946, root_mean_squared_error: 0.5501, root_relative_squared_error: 1.112, scimark_benchmark: 1840.6094, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 109.375,

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