OpenML
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: 0.9419, f_measure: 0.8634, kappa: 0.7198, kb_relative_information_score: 25582.0643, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8634, predictive_accuracy: 0.8637, prior_entropy: 0.9835, recall: 0.8637, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.636, scimark_benchmark: 1854.568, usercpu_time_millis: 15.933, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 14.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7817, kappa: 0.5509, kb_relative_information_score: 17993.9133, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7834, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7891, scimark_benchmark: 1716.5927, usercpu_time_millis: 11.069, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 10.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7756, kappa: 0.5383, kb_relative_information_score: 17298.6601, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7857, predictive_accuracy: 0.7811, prior_entropy: 0.9835, recall: 0.7811, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7812, scimark_benchmark: 1853.9121, usercpu_time_millis: 13.077, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 12.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -8.422, mean_absolute_error: 0.4887, 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: 1.0001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1845.0549, usercpu_time_millis: 2.78, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8824, kappa: 0.7623, kb_relative_information_score: 33792.1759, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8894, predictive_accuracy: 0.8817, prior_entropy: 0.9835, recall: 0.8817, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.5875, scimark_benchmark: 1853.9849, usercpu_time_millis: 3.275, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 3.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7551, kappa: 0.4969, kb_relative_information_score: 15610.2371, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.769, predictive_accuracy: 0.7628, prior_entropy: 0.9835, recall: 0.7628, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8115, scimark_benchmark: 1851.4874, usercpu_time_millis: 10.534, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 10.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.8044, kappa: 0.5994, kb_relative_information_score: 20734.5386, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8043, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7519, scimark_benchmark: 1855.0232, usercpu_time_millis: 9.361, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 9.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7499, kappa: 0.4877, kb_relative_information_score: 8500.6654, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8802, scimark_benchmark: 1825.3354, usercpu_time_millis: 20.206, usercpu_time_millis_testing: 2.307, usercpu_time_millis_training: 17.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.897, kappa: 0.789, kb_relative_information_score: 30114.4621, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8969, predictive_accuracy: 0.897, prior_entropy: 0.9835, recall: 0.897, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5617, scimark_benchmark: 1849.447, usercpu_time_millis: 8.568, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 8.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.6751, 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: 1842.6679, usercpu_time_millis: 8.278, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 7.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8848, kappa: 0.7639, kb_relative_information_score: 28161.8771, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 0.9835, recall: 0.8851, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5869, scimark_benchmark: 1713.9419, usercpu_time_millis: 11.044, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 10.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.864, kappa: 0.7212, kb_relative_information_score: 26191.9378, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.864, predictive_accuracy: 0.8643, prior_entropy: 0.9835, recall: 0.8643, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6339, scimark_benchmark: 1819.8674, usercpu_time_millis: 364.143, usercpu_time_millis_testing: 12.344, usercpu_time_millis_training: 351.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.813, kappa: 0.6152, kb_relative_information_score: 19619.5208, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8156, predictive_accuracy: 0.815, prior_entropy: 0.9835, recall: 0.815, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7365, scimark_benchmark: 1808.1865, usercpu_time_millis: 361.452, usercpu_time_millis_testing: 26.947, usercpu_time_millis_training: 334.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8201, kappa: 0.6306, kb_relative_information_score: 21222.2455, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8209, prior_entropy: 0.9835, recall: 0.8209, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7207, scimark_benchmark: 1821.8153, usercpu_time_millis: 355.43, usercpu_time_millis_testing: 20.057, usercpu_time_millis_training: 335.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8117, kappa: 0.6137, kb_relative_information_score: 20487.7588, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8116, predictive_accuracy: 0.8123, prior_entropy: 0.9835, recall: 0.8123, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7394, scimark_benchmark: 1809.0434, usercpu_time_millis: 378.713, usercpu_time_millis_testing: 21.485, usercpu_time_millis_training: 357.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8087, kappa: 0.6074, kb_relative_information_score: 19744.3958, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 0.9835, recall: 0.8095, relative_absolute_error: 0.5953, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.749, scimark_benchmark: 1814.6865, usercpu_time_millis: 262.294, usercpu_time_millis_testing: 14.719, usercpu_time_millis_training: 247.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8176, kappa: 0.6259, kb_relative_information_score: 21401.8601, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8175, predictive_accuracy: 0.818, prior_entropy: 0.9835, recall: 0.818, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.726, scimark_benchmark: 1793.8979, usercpu_time_millis: 352.035, usercpu_time_millis_testing: 19.671, usercpu_time_millis_training: 332.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8061, kappa: 0.6021, kb_relative_information_score: 19519.5912, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8062, predictive_accuracy: 0.8069, prior_entropy: 0.9835, recall: 0.8069, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.752, scimark_benchmark: 1820.4809, usercpu_time_millis: 228.315, usercpu_time_millis_testing: 12.297, usercpu_time_millis_training: 216.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8215, kappa: 0.633, kb_relative_information_score: 20498.0991, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8231, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7222, scimark_benchmark: 1824.3084, usercpu_time_millis: 211.685, usercpu_time_millis_testing: 15.926, usercpu_time_millis_training: 195.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.7962, kappa: 0.5828, kb_relative_information_score: 19181.5859, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7962, predictive_accuracy: 0.7962, prior_entropy: 0.9835, recall: 0.7962, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7714, scimark_benchmark: 1836.1651, usercpu_time_millis: 228.697, usercpu_time_millis_testing: 8.971, usercpu_time_millis_training: 219.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.7932, kappa: 0.5758, kb_relative_information_score: 18576.1882, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7931, predictive_accuracy: 0.7939, prior_entropy: 0.9835, recall: 0.7939, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3817, root_relative_squared_error: 0.7723, scimark_benchmark: 1814.975, usercpu_time_millis: 225.037, usercpu_time_millis_testing: 11.384, usercpu_time_millis_training: 213.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8944, kappa: 0.7838, kb_relative_information_score: 29184.4142, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8944, predictive_accuracy: 0.8945, prior_entropy: 0.9835, recall: 0.8945, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.282, root_relative_squared_error: 0.5705, scimark_benchmark: 1839.7313, usercpu_time_millis: 186.774, usercpu_time_millis_testing: 5.584, usercpu_time_millis_training: 181.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8019, kappa: 0.5936, kb_relative_information_score: 19583.8632, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8019, predictive_accuracy: 0.8026, prior_entropy: 0.9835, recall: 0.8026, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7558, scimark_benchmark: 1711.6043, usercpu_time_millis: 248.292, usercpu_time_millis_testing: 13.144, usercpu_time_millis_training: 235.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8654, kappa: 0.724, kb_relative_information_score: 26188.0842, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8654, predictive_accuracy: 0.8657, prior_entropy: 0.9835, recall: 0.8657, relative_absolute_error: 0.4516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6291, scimark_benchmark: 1833.1413, usercpu_time_millis: 283.735, usercpu_time_millis_testing: 9.995, usercpu_time_millis_training: 273.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7781, kappa: 0.5436, kb_relative_information_score: 17344.6886, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7772, scimark_benchmark: 1815.6217, usercpu_time_millis: 181.854, usercpu_time_millis_testing: 12.195, usercpu_time_millis_training: 169.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8214, kappa: 0.6326, kb_relative_information_score: 18683.7781, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8239, predictive_accuracy: 0.8233, prior_entropy: 0.9835, recall: 0.8233, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7352, scimark_benchmark: 1813.0947, usercpu_time_millis: 265.212, usercpu_time_millis_testing: 19.767, usercpu_time_millis_training: 245.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8151, kappa: 0.6206, kb_relative_information_score: 21045.0967, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8151, predictive_accuracy: 0.8157, prior_entropy: 0.9835, recall: 0.8157, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7297, scimark_benchmark: 1833.265, usercpu_time_millis: 227.447, usercpu_time_millis_testing: 8.178, usercpu_time_millis_training: 219.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7832, kappa: 0.5539, kb_relative_information_score: 17764.0397, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7867, predictive_accuracy: 0.7862, prior_entropy: 0.9835, recall: 0.7862, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7844, scimark_benchmark: 1813.0849, usercpu_time_millis: 202.494, usercpu_time_millis_testing: 9.865, usercpu_time_millis_training: 192.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8361, kappa: 0.6636, kb_relative_information_score: 23202.9751, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8362, predictive_accuracy: 0.8366, prior_entropy: 0.9835, recall: 0.8366, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6888, scimark_benchmark: 1817.3174, usercpu_time_millis: 224.141, usercpu_time_millis_testing: 8.485, usercpu_time_millis_training: 215.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7484, kappa: 0.4836, kb_relative_information_score: 15047.4843, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8288, scimark_benchmark: 1816.9424, usercpu_time_millis: 193.224, usercpu_time_millis_testing: 12.525, usercpu_time_millis_training: 180.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8212, kappa: 0.6323, kb_relative_information_score: 20483.6771, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8228, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7226, scimark_benchmark: 1802.8911, usercpu_time_millis: 197.298, usercpu_time_millis_testing: 15.072, usercpu_time_millis_training: 182.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7932, kappa: 0.5743, kb_relative_information_score: 17885.4279, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8003, predictive_accuracy: 0.7972, prior_entropy: 0.9835, recall: 0.7972, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7632, scimark_benchmark: 1817.8883, usercpu_time_millis: 237.09, usercpu_time_millis_testing: 17.64, usercpu_time_millis_training: 219.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8119, kappa: 0.6132, kb_relative_information_score: 19749.4931, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9835, recall: 0.8134, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7441, scimark_benchmark: 1814.0378, usercpu_time_millis: 148.509, usercpu_time_millis_testing: 14.285, usercpu_time_millis_training: 134.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.3447, 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: 1812.1403, usercpu_time_millis: 136.482, usercpu_time_millis_testing: 10.021, usercpu_time_millis_training: 126.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.4007, 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: 1774.8841, usercpu_time_millis: 160.071, usercpu_time_millis_testing: 10.169, usercpu_time_millis_training: 149.902,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7562, kappa: 0.4997, kb_relative_information_score: 12663.5177, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7745, predictive_accuracy: 0.7651, prior_entropy: 0.9835, recall: 0.7651, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8309, scimark_benchmark: 1800.6653, usercpu_time_millis: 25.548, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 24.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14201.277, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8421, scimark_benchmark: 1817.369, usercpu_time_millis: 50.745, usercpu_time_millis_testing: 6.084, usercpu_time_millis_training: 44.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7664, kappa: 0.5195, kb_relative_information_score: 16893.734, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7726, prior_entropy: 0.9835, recall: 0.7726, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7935, scimark_benchmark: 1820.3729, usercpu_time_millis: 27.246, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 26.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7774, kappa: 0.5419, kb_relative_information_score: 17470.0008, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7861, predictive_accuracy: 0.7824, prior_entropy: 0.9835, recall: 0.7824, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7788, scimark_benchmark: 1804.4426, usercpu_time_millis: 47.956, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 45.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -2.8319, 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: 1792.5784, usercpu_time_millis: 2.986, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7789, kappa: 0.5453, kb_relative_information_score: 14598.9863, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7913, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7978, scimark_benchmark: 1804.3264, usercpu_time_millis: 12.119, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 11.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 25090.2329, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.855, predictive_accuracy: 0.8554, prior_entropy: 0.9835, recall: 0.8554, relative_absolute_error: 0.4762, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6498, scimark_benchmark: 1820.2936, usercpu_time_millis: 15.096, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 14.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 14192.9106, mean_absolute_error: 0.3518, 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: 0.7199, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8461, scimark_benchmark: 1815.4319, usercpu_time_millis: 9.163, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 8.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7648, kappa: 0.5169, kb_relative_information_score: 15556.8486, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7804, predictive_accuracy: 0.7725, prior_entropy: 0.9835, recall: 0.7725, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7949, scimark_benchmark: 1828.3216, usercpu_time_millis: 47.825, usercpu_time_millis_testing: 4.604, usercpu_time_millis_training: 43.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8534, kappa: 0.6991, kb_relative_information_score: 24055.7462, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.854, prior_entropy: 0.9835, recall: 0.854, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.6587, scimark_benchmark: 1827.8718, usercpu_time_millis: 93.432, usercpu_time_millis_testing: 6.236, usercpu_time_millis_training: 87.196,
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: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.1658, 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: 1822.8291, usercpu_time_millis: 24.328, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 22.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -3.8979, 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: 1828.7081, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 5.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.5075, 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: 1809.279, usercpu_time_millis: 52.936, usercpu_time_millis_testing: 8.969, usercpu_time_millis_training: 43.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.1796, 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: 1816.4967, usercpu_time_millis: 14.716, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 12.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.0772, 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: 1805.3738, usercpu_time_millis: 13.499, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 11.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.887, kappa: 0.7684, kb_relative_information_score: 28036.8041, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8871, predictive_accuracy: 0.8872, prior_entropy: 0.9835, recall: 0.8872, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5872, scimark_benchmark: 1825.8301, usercpu_time_millis: 55.579, usercpu_time_millis_testing: 2.12, usercpu_time_millis_training: 53.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -1.0092, 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: 1824.9414, usercpu_time_millis: 47.409, usercpu_time_millis_testing: 8.248, usercpu_time_millis_training: 39.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.7491, kappa: 0.485, kb_relative_information_score: 12193.7312, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8497, scimark_benchmark: 1798.9995, usercpu_time_millis: 74.815, usercpu_time_millis_testing: 8.091, usercpu_time_millis_training: 66.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.1109, 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: 1832.4342, usercpu_time_millis: 10.625, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 9.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8108, kappa: 0.6106, kb_relative_information_score: 17582.0418, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8151, predictive_accuracy: 0.8134, prior_entropy: 0.9835, recall: 0.8134, relative_absolute_error: 0.653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7538, scimark_benchmark: 1808.1865, usercpu_time_millis: 76.779, usercpu_time_millis_testing: 7.742, usercpu_time_millis_training: 69.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7762, kappa: 0.5392, kb_relative_information_score: 17805.5113, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7811, predictive_accuracy: 0.7799, prior_entropy: 0.9835, recall: 0.7799, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7885, scimark_benchmark: 1868.242, usercpu_time_millis: 39.961, usercpu_time_millis_testing: 1.508, usercpu_time_millis_training: 38.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.84, kappa: 0.6717, kb_relative_information_score: 23479.3346, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8402, predictive_accuracy: 0.8406, prior_entropy: 0.9835, recall: 0.8406, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6794, scimark_benchmark: 1798.1039, usercpu_time_millis: 30.445, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 29.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 12390.7137, mean_absolute_error: 0.375, 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: 0.7674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8629, scimark_benchmark: 1716.1466, usercpu_time_millis: 63.847, usercpu_time_millis_testing: 5.908, usercpu_time_millis_training: 57.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8967, kappa: 0.7884, kb_relative_information_score: 29348.1116, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8967, predictive_accuracy: 0.8968, prior_entropy: 0.9835, recall: 0.8968, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.5646, scimark_benchmark: 1791.2894, usercpu_time_millis: 63.821, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 61.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7488, kappa: 0.4844, kb_relative_information_score: 15144.8706, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.6968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.826, scimark_benchmark: 1796.3155, usercpu_time_millis: 61.795, usercpu_time_millis_testing: 7.021, usercpu_time_millis_training: 54.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9166, kappa: 0.8291, kb_relative_information_score: 31822.656, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9165, predictive_accuracy: 0.9166, prior_entropy: 0.9835, recall: 0.9166, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5153, scimark_benchmark: 1782.4598, usercpu_time_millis: 44.197, usercpu_time_millis_testing: 1.5, usercpu_time_millis_training: 42.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: 1.3055, 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: 1825.8301, usercpu_time_millis: 17.55, usercpu_time_millis_testing: 2.617, usercpu_time_millis_training: 14.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7736, kappa: 0.5344, kb_relative_information_score: 17333.7581, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.785, predictive_accuracy: 0.7796, prior_entropy: 0.9835, recall: 0.7796, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.78, scimark_benchmark: 1811.5844, usercpu_time_millis: 40.716, usercpu_time_millis_testing: 3.589, usercpu_time_millis_training: 37.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.3051, 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: 1829.876, usercpu_time_millis: 27.025, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 25.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7501, kappa: 0.4885, kb_relative_information_score: 8949.4151, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7749, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8725, scimark_benchmark: 1807.3098, usercpu_time_millis: 50.695, usercpu_time_millis_testing: 3.108, usercpu_time_millis_training: 47.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7535, kappa: 0.4941, kb_relative_information_score: 12540.6662, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7708, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8397, scimark_benchmark: 1829.7274, usercpu_time_millis: 19.082, usercpu_time_millis_testing: 1.448, usercpu_time_millis_training: 17.634,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs