Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 15713.2018, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1844.3569, usercpu_time_millis: 234.357, usercpu_time_millis_testing: 13.035, usercpu_time_millis_training: 221.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8159, kappa: 0.622, kb_relative_information_score: 20378.7678, mean_absolute_error: 0.2843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8163, predictive_accuracy: 0.8169, prior_entropy: 0.9835, recall: 0.8169, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.735, scimark_benchmark: 1833.1288, usercpu_time_millis: 184.359, usercpu_time_millis_testing: 9.865, usercpu_time_millis_training: 174.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8119, kappa: 0.613, kb_relative_information_score: 19624.7434, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8139, predictive_accuracy: 0.8137, prior_entropy: 0.9835, recall: 0.8137, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7425, scimark_benchmark: 1815.9966, usercpu_time_millis: 202.982, usercpu_time_millis_testing: 13.183, usercpu_time_millis_training: 189.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8034, kappa: 0.5959, kb_relative_information_score: 19101.4334, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8044, predictive_accuracy: 0.8049, prior_entropy: 0.9835, recall: 0.8049, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7572, scimark_benchmark: 1829.9217, usercpu_time_millis: 197.197, usercpu_time_millis_testing: 14.07, usercpu_time_millis_training: 183.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.7549, kappa: 0.4967, kb_relative_information_score: 15477.9663, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.6926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8123, scimark_benchmark: 1849.3742, usercpu_time_millis: 175.231, usercpu_time_millis_testing: 12.543, usercpu_time_millis_training: 162.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.8902, kappa: 0.7751, kb_relative_information_score: 28585.5206, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8901, predictive_accuracy: 0.8903, prior_entropy: 0.9835, recall: 0.8903, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5828, scimark_benchmark: 1850.8185, usercpu_time_millis: 170.796, usercpu_time_millis_testing: 6.19, usercpu_time_millis_training: 164.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8176, kappa: 0.6258, kb_relative_information_score: 21378.7323, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8177, predictive_accuracy: 0.8183, prior_entropy: 0.9835, recall: 0.8183, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7236, scimark_benchmark: 1843.8137, usercpu_time_millis: 176.806, usercpu_time_millis_testing: 9.751, usercpu_time_millis_training: 167.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.7958, kappa: 0.5798, kb_relative_information_score: 18307.6809, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8004, predictive_accuracy: 0.799, prior_entropy: 0.9835, recall: 0.799, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7676, scimark_benchmark: 1841.7546, usercpu_time_millis: 178.532, usercpu_time_millis_testing: 11.746, usercpu_time_millis_training: 166.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.871, kappa: 0.7357, kb_relative_information_score: 26797.5708, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.871, predictive_accuracy: 0.8712, prior_entropy: 0.9835, recall: 0.8712, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6203, scimark_benchmark: 1845.264, usercpu_time_millis: 213.23, usercpu_time_millis_testing: 8.891, usercpu_time_millis_training: 204.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8095, kappa: 0.6093, kb_relative_information_score: 20585.679, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8094, predictive_accuracy: 0.81, prior_entropy: 0.9835, recall: 0.81, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7409, scimark_benchmark: 1844.8101, usercpu_time_millis: 217.835, usercpu_time_millis_testing: 12.935, usercpu_time_millis_training: 204.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7782, kappa: 0.5435, kb_relative_information_score: 17566.017, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7777, scimark_benchmark: 1847.7988, usercpu_time_millis: 168.229, usercpu_time_millis_testing: 11.187, usercpu_time_millis_training: 157.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8481, kappa: 0.6885, kb_relative_information_score: 24560.1774, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8481, predictive_accuracy: 0.8485, prior_entropy: 0.9835, recall: 0.8485, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6624, scimark_benchmark: 1824.9414, usercpu_time_millis: 179.51, usercpu_time_millis_testing: 13.596, usercpu_time_millis_training: 165.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7719, kappa: 0.5307, kb_relative_information_score: 17082.8352, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7803, predictive_accuracy: 0.7771, prior_entropy: 0.9835, recall: 0.7771, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7848, scimark_benchmark: 1841.8649, usercpu_time_millis: 164.902, usercpu_time_millis_testing: 12.662, usercpu_time_millis_training: 152.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8294, kappa: 0.6493, kb_relative_information_score: 21586.7046, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8303, predictive_accuracy: 0.8305, prior_entropy: 0.9835, recall: 0.8305, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.7034, scimark_benchmark: 1840.7617, usercpu_time_millis: 201.615, usercpu_time_millis_testing: 12.921, usercpu_time_millis_training: 188.694,
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: 0.8582, f_measure: 0.7913, kappa: 0.5713, kb_relative_information_score: 18065.1159, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7925, prior_entropy: 0.9835, recall: 0.7925, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7824, scimark_benchmark: 1836.7415, usercpu_time_millis: 174.265, usercpu_time_millis_testing: 14.016, usercpu_time_millis_training: 160.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7965, kappa: 0.5826, kb_relative_information_score: 18837.3245, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7964, predictive_accuracy: 0.7971, prior_entropy: 0.9835, recall: 0.7971, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7677, scimark_benchmark: 1848.388, usercpu_time_millis: 195.166, usercpu_time_millis_testing: 11.823, usercpu_time_millis_training: 183.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7651, kappa: 0.5173, kb_relative_information_score: 16281.0253, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7792, predictive_accuracy: 0.7723, prior_entropy: 0.9835, recall: 0.7723, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.7919, scimark_benchmark: 1841.1577, usercpu_time_millis: 138.317, usercpu_time_millis_testing: 11.77, usercpu_time_millis_training: 126.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.7943, kappa: 0.5766, kb_relative_information_score: 18341.4611, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8002, predictive_accuracy: 0.7979, prior_entropy: 0.9835, recall: 0.7979, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.766, scimark_benchmark: 1840.2451, usercpu_time_millis: 162.515, usercpu_time_millis_testing: 15.299, usercpu_time_millis_training: 147.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8875, kappa: 0.7696, kb_relative_information_score: 28543.0007, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8875, predictive_accuracy: 0.8876, prior_entropy: 0.9835, recall: 0.8876, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.586, scimark_benchmark: 1843.2259, usercpu_time_millis: 158.699, usercpu_time_millis_testing: 3.948, usercpu_time_millis_training: 154.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.7886, kappa: 0.5649, kb_relative_information_score: 18084.5969, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7914, prior_entropy: 0.9835, recall: 0.7914, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7724, scimark_benchmark: 1825.004, usercpu_time_millis: 153.824, usercpu_time_millis_testing: 9.618, usercpu_time_millis_training: 144.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8683, kappa: 0.7302, kb_relative_information_score: 26505.3766, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8683, predictive_accuracy: 0.8685, prior_entropy: 0.9835, recall: 0.8685, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6245, scimark_benchmark: 1835.324, usercpu_time_millis: 181.599, usercpu_time_millis_testing: 9.96, usercpu_time_millis_training: 171.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7495, kappa: 0.4858, kb_relative_information_score: 15015.8662, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7668, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8248, scimark_benchmark: 1850.4154, usercpu_time_millis: 177.872, usercpu_time_millis_testing: 12.729, usercpu_time_millis_training: 165.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7576, kappa: 0.5025, kb_relative_information_score: 13763.5643, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7756, predictive_accuracy: 0.7663, prior_entropy: 0.9835, recall: 0.7663, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8185, scimark_benchmark: 1851.8567, usercpu_time_millis: 123.503, usercpu_time_millis_testing: 11.644, usercpu_time_millis_training: 111.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7784, kappa: 0.5442, kb_relative_information_score: 17324.7978, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7895, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.777, scimark_benchmark: 1809.2493, usercpu_time_millis: 134.788, usercpu_time_millis_testing: 9.275, usercpu_time_millis_training: 125.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.7854, kappa: 0.5583, kb_relative_information_score: 17784.2477, mean_absolute_error: 0.3136, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7901, prior_entropy: 0.9835, recall: 0.7901, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7707, scimark_benchmark: 1845.3295, usercpu_time_millis: 108.543, usercpu_time_millis_testing: 7.877, usercpu_time_millis_training: 100.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7506, kappa: 0.4893, kb_relative_information_score: 9200.2526, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7743, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1855.4813, usercpu_time_millis: 143.829, usercpu_time_millis_testing: 13.733, usercpu_time_millis_training: 130.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7861, kappa: 0.5598, kb_relative_information_score: 15562.2647, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7962, predictive_accuracy: 0.7912, prior_entropy: 0.9835, recall: 0.7912, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7841, scimark_benchmark: 1840.8272, usercpu_time_millis: 109.158, usercpu_time_millis_testing: 9.616, usercpu_time_millis_training: 99.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8482, kappa: 0.6886, kb_relative_information_score: 24618.9963, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8482, predictive_accuracy: 0.8486, prior_entropy: 0.9835, recall: 0.8486, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6626, scimark_benchmark: 1849.3742, usercpu_time_millis: 110.29, usercpu_time_millis_testing: 4.426, usercpu_time_millis_training: 105.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3863, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1802.471, usercpu_time_millis: 122.25, usercpu_time_millis_testing: 9.733, usercpu_time_millis_training: 112.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7542, kappa: 0.495, kb_relative_information_score: 14870.2389, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7675, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8164, scimark_benchmark: 1834.6918, usercpu_time_millis: 121.641, usercpu_time_millis_testing: 9.335, usercpu_time_millis_training: 112.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7521, kappa: 0.491, kb_relative_information_score: 14016.2719, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7604, prior_entropy: 0.9835, recall: 0.7604, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.828, scimark_benchmark: 1842.1399, usercpu_time_millis: 84.764, usercpu_time_millis_testing: 11.461, usercpu_time_millis_training: 73.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8194, kappa: 0.6288, kb_relative_information_score: 20698.7671, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8206, prior_entropy: 0.9835, recall: 0.8206, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7253, scimark_benchmark: 1827.7727, usercpu_time_millis: 100.31, usercpu_time_millis_testing: 5.282, usercpu_time_millis_training: 95.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14960.008, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8309, scimark_benchmark: 1837.7222, usercpu_time_millis: 129.836, usercpu_time_millis_testing: 9.197, usercpu_time_millis_training: 120.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.76, kappa: 0.5072, kb_relative_information_score: 15797.3491, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7767, predictive_accuracy: 0.7682, prior_entropy: 0.9835, recall: 0.7682, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.7982, scimark_benchmark: 1852.0126, usercpu_time_millis: 146.313, usercpu_time_millis_testing: 14.651, usercpu_time_millis_training: 131.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.819, kappa: 0.6288, kb_relative_information_score: 21536.981, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.819, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7222, scimark_benchmark: 1818.2457, usercpu_time_millis: 125.377, usercpu_time_millis_testing: 6.701, usercpu_time_millis_training: 118.676,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.7709, kappa: 0.5288, kb_relative_information_score: 17082.1615, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7767, prior_entropy: 0.9835, recall: 0.7767, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7874, scimark_benchmark: 1839.7911, usercpu_time_millis: 98.23, usercpu_time_millis_testing: 6.977, usercpu_time_millis_training: 91.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.835, kappa: 0.6611, kb_relative_information_score: 22177.7046, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9835, recall: 0.836, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6934, scimark_benchmark: 1849.3468, usercpu_time_millis: 44.563, usercpu_time_millis_testing: 2.989, usercpu_time_millis_training: 41.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.757, kappa: 0.5018, kb_relative_information_score: 11096.9446, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7778, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8445, scimark_benchmark: 1847.8629, usercpu_time_millis: 74.416, usercpu_time_millis_testing: 8.756, usercpu_time_millis_training: 65.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13202.3291, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.863, scimark_benchmark: 1832.6275, usercpu_time_millis: 73.916, usercpu_time_millis_testing: 5.011, usercpu_time_millis_training: 68.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7408, kappa: 0.471, kb_relative_information_score: 6148.0237, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.772, predictive_accuracy: 0.7542, prior_entropy: 0.9835, recall: 0.7542, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9102, scimark_benchmark: 1837.7222, usercpu_time_millis: 47.84, usercpu_time_millis_testing: 4.173, usercpu_time_millis_training: 43.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8007, kappa: 0.5907, kb_relative_information_score: 18969.0713, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8011, predictive_accuracy: 0.8018, prior_entropy: 0.9835, recall: 0.8018, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7603, scimark_benchmark: 1833.1413, usercpu_time_millis: 53.626, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 51.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8158, kappa: 0.6221, kb_relative_information_score: 21897.8761, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8157, predictive_accuracy: 0.8163, prior_entropy: 0.9835, recall: 0.8163, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7211, scimark_benchmark: 1854.568, usercpu_time_millis: 41.831, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 40.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7568, kappa: 0.5002, kb_relative_information_score: 15958.7671, mean_absolute_error: 0.332, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7704, predictive_accuracy: 0.7642, prior_entropy: 0.9835, recall: 0.7642, relative_absolute_error: 0.6794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8148, scimark_benchmark: 1836.6789, usercpu_time_millis: 42.278, usercpu_time_millis_testing: 2.111, usercpu_time_millis_training: 40.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9, kappa: 0.7953, kb_relative_information_score: 30223.228, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9, predictive_accuracy: 0.9001, prior_entropy: 0.9835, recall: 0.9001, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.5534, scimark_benchmark: 1846.2342, usercpu_time_millis: 36.289, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 35.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8003, kappa: 0.5901, kb_relative_information_score: 19228.0858, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8003, predictive_accuracy: 0.8011, prior_entropy: 0.9835, recall: 0.8011, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7592, scimark_benchmark: 1853.9121, usercpu_time_millis: 36.288, usercpu_time_millis_testing: 1.656, usercpu_time_millis_training: 34.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6851, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 19.39, usercpu_time_millis_testing: 2.571, usercpu_time_millis_training: 16.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8401, kappa: 0.672, kb_relative_information_score: 23517.2429, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8407, prior_entropy: 0.9835, recall: 0.8407, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6788, scimark_benchmark: 1837.132, usercpu_time_millis: 53.071, usercpu_time_millis_testing: 3.411, usercpu_time_millis_training: 49.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8056, kappa: 0.5999, kb_relative_information_score: 17248.94, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8107, predictive_accuracy: 0.8086, prior_entropy: 0.9835, recall: 0.8086, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7589, scimark_benchmark: 1845.9141, usercpu_time_millis: 60.591, usercpu_time_millis_testing: 4.171, usercpu_time_millis_training: 56.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0905, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1847.7988, usercpu_time_millis: 49.987, usercpu_time_millis_testing: 7.651, usercpu_time_millis_training: 42.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8793, kappa: 0.7527, kb_relative_information_score: 27317.6255, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 0.9835, recall: 0.8796, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6049, scimark_benchmark: 1847.7345, usercpu_time_millis: 54.699, usercpu_time_millis_testing: 1.79, usercpu_time_millis_training: 52.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.7206, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 32.844, usercpu_time_millis_testing: 5.832, usercpu_time_millis_training: 27.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8464, kappa: 0.6849, kb_relative_information_score: 24424.3779, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8464, predictive_accuracy: 0.8468, prior_entropy: 0.9835, recall: 0.8468, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6647, scimark_benchmark: 1793.6595, usercpu_time_millis: 51.555, usercpu_time_millis_testing: 2.129, usercpu_time_millis_training: 49.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.0941, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1836.6789, usercpu_time_millis: 38.472, usercpu_time_millis_testing: 6.413, usercpu_time_millis_training: 32.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7552, kappa: 0.4975, kb_relative_information_score: 13785.7588, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7726, predictive_accuracy: 0.7639, prior_entropy: 0.9835, recall: 0.7639, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8229, scimark_benchmark: 1841.8649, usercpu_time_millis: 66.02, usercpu_time_millis_testing: 8.737, usercpu_time_millis_training: 57.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8134, kappa: 0.6159, kb_relative_information_score: 17802.8522, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.817, predictive_accuracy: 0.8158, prior_entropy: 0.9835, recall: 0.8158, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7497, scimark_benchmark: 1842.2127, usercpu_time_millis: 44.648, usercpu_time_millis_testing: 2.787, usercpu_time_millis_training: 41.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7716, kappa: 0.53, kb_relative_information_score: 17336.1428, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7769, prior_entropy: 0.9835, recall: 0.7769, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.389, root_relative_squared_error: 0.787, scimark_benchmark: 1848.5009, usercpu_time_millis: 59.415, usercpu_time_millis_testing: 3.504, usercpu_time_millis_training: 55.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.757, kappa: 0.5011, kb_relative_information_score: 14855.8217, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7739, predictive_accuracy: 0.7654, prior_entropy: 0.9835, recall: 0.7654, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8111, scimark_benchmark: 1850.2875, usercpu_time_millis: 30.881, usercpu_time_millis_testing: 1.885, usercpu_time_millis_training: 28.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 12775.5465, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8563, scimark_benchmark: 1836.1651, usercpu_time_millis: 53.593, usercpu_time_millis_testing: 5.353, usercpu_time_millis_training: 48.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7598, kappa: 0.5068, kb_relative_information_score: 14798.9004, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.777, predictive_accuracy: 0.7681, prior_entropy: 0.9835, recall: 0.7681, relative_absolute_error: 0.7121, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8053, scimark_benchmark: 1828.4762, usercpu_time_millis: 46.032, usercpu_time_millis_testing: 5.368, usercpu_time_millis_training: 40.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8124, kappa: 0.615, kb_relative_information_score: 20465.6888, mean_absolute_error: 0.2828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 0.9835, recall: 0.8129, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7389, scimark_benchmark: 1837.6486, usercpu_time_millis: 27.905, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 26.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7911, kappa: 0.5705, kb_relative_information_score: 17991.3855, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7918, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.6356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7796, scimark_benchmark: 1841.2477, usercpu_time_millis: 51.955, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 49.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7487, kappa: 0.4843, kb_relative_information_score: 14219.5289, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7656, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8442, scimark_benchmark: 1844.7474, usercpu_time_millis: 46.552, usercpu_time_millis_testing: 5.717, usercpu_time_millis_training: 40.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7514, kappa: 0.4909, kb_relative_information_score: 9348.559, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7752, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8673, scimark_benchmark: 1842.1882, usercpu_time_millis: 49.033, usercpu_time_millis_testing: 6.754, usercpu_time_millis_training: 42.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14229.4375, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8435, scimark_benchmark: 1844.7258, usercpu_time_millis: 71.087, usercpu_time_millis_testing: 5.303, usercpu_time_millis_training: 65.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2519, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1840.7617, usercpu_time_millis: 13.864, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 12.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.7923, kappa: 0.5735, kb_relative_information_score: 18445.5837, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7925, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706, scimark_benchmark: 1845.264, usercpu_time_millis: 23.831, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 22.862,

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