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: 0.8451, f_measure: 0.7553, kappa: 0.4973, kb_relative_information_score: 15552.7914, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7694, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8131, scimark_benchmark: 1736.8063, usercpu_time_millis: 150.208, usercpu_time_millis_testing: 11.471, usercpu_time_millis_training: 138.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8766, kappa: 0.7471, kb_relative_information_score: 26926.4832, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8767, predictive_accuracy: 0.8769, prior_entropy: 0.9835, recall: 0.8769, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.6109, scimark_benchmark: 1838.8902, usercpu_time_millis: 127.154, usercpu_time_millis_testing: 6.218, usercpu_time_millis_training: 120.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8008, kappa: 0.5901, kb_relative_information_score: 18506.9049, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8059, predictive_accuracy: 0.804, prior_entropy: 0.9835, recall: 0.804, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7537, scimark_benchmark: 1833.1413, usercpu_time_millis: 127.235, usercpu_time_millis_testing: 11.189, usercpu_time_millis_training: 116.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8112, kappa: 0.6114, kb_relative_information_score: 17568.8835, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8154, predictive_accuracy: 0.8138, prior_entropy: 0.9835, recall: 0.8138, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7536, scimark_benchmark: 1730.2409, usercpu_time_millis: 150.533, usercpu_time_millis_testing: 11.863, usercpu_time_millis_training: 138.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.818, kappa: 0.6267, kb_relative_information_score: 22017.5576, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.818, predictive_accuracy: 0.8186, prior_entropy: 0.9835, recall: 0.8186, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7169, scimark_benchmark: 1748.6313, usercpu_time_millis: 122.331, usercpu_time_millis_testing: 4.005, usercpu_time_millis_training: 118.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8018, kappa: 0.592, kb_relative_information_score: 16851.6917, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7648, scimark_benchmark: 1715.1319, usercpu_time_millis: 144.546, usercpu_time_millis_testing: 13.322, usercpu_time_millis_training: 131.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8784, kappa: 0.7506, kb_relative_information_score: 27012.6824, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8785, predictive_accuracy: 0.8787, prior_entropy: 0.9835, recall: 0.8787, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6071, scimark_benchmark: 1857.1082, usercpu_time_millis: 99.123, usercpu_time_millis_testing: 4.105, usercpu_time_millis_training: 95.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8277, kappa: 0.6463, kb_relative_information_score: 22384.9689, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8278, predictive_accuracy: 0.8283, prior_entropy: 0.9835, recall: 0.8283, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7023, scimark_benchmark: 1717.8303, usercpu_time_millis: 144.268, usercpu_time_millis_testing: 11.471, usercpu_time_millis_training: 132.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7939, kappa: 0.576, kb_relative_information_score: 18373.1101, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7955, predictive_accuracy: 0.7958, prior_entropy: 0.9835, recall: 0.7958, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7692, scimark_benchmark: 1718.6246, usercpu_time_millis: 122.697, usercpu_time_millis_testing: 5.565, usercpu_time_millis_training: 117.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.7955, kappa: 0.5808, kb_relative_information_score: 18721.0889, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7954, predictive_accuracy: 0.7959, prior_entropy: 0.9835, recall: 0.7959, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7702, scimark_benchmark: 2012.6731, usercpu_time_millis: 138.898, usercpu_time_millis_testing: 8.283, usercpu_time_millis_training: 130.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7747, kappa: 0.5369, kb_relative_information_score: 14303.9136, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7888, predictive_accuracy: 0.7814, prior_entropy: 0.9835, recall: 0.7814, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8016, scimark_benchmark: 1843.1261, usercpu_time_millis: 107.27, usercpu_time_millis_testing: 9.073, usercpu_time_millis_training: 98.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13021.4973, mean_absolute_error: 0.3679, 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: 0.7529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8566, scimark_benchmark: 1719.5281, usercpu_time_millis: 123.764, usercpu_time_millis_testing: 11.552, usercpu_time_millis_training: 112.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8651, kappa: 0.7235, kb_relative_information_score: 26164.8554, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8651, predictive_accuracy: 0.8654, prior_entropy: 0.9835, recall: 0.8654, relative_absolute_error: 0.4525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6288, scimark_benchmark: 1768.8004, usercpu_time_millis: 105.182, usercpu_time_millis_testing: 5.425, usercpu_time_millis_training: 99.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7508, kappa: 0.4884, kb_relative_information_score: 13117.7053, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7672, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8381, scimark_benchmark: 1697.9406, usercpu_time_millis: 90.428, usercpu_time_millis_testing: 10.373, usercpu_time_millis_training: 80.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8472, kappa: 0.6867, kb_relative_information_score: 24564.8401, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8472, predictive_accuracy: 0.8476, prior_entropy: 0.9835, recall: 0.8476, relative_absolute_error: 0.4868, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6648, scimark_benchmark: 1850.9652, usercpu_time_millis: 95.121, usercpu_time_millis_testing: 4.97, usercpu_time_millis_training: 90.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7566, kappa: 0.5006, kb_relative_information_score: 13627.2302, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7751, predictive_accuracy: 0.7655, prior_entropy: 0.9835, recall: 0.7655, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8198, scimark_benchmark: 1723.3993, usercpu_time_millis: 90.432, usercpu_time_millis_testing: 9.454, usercpu_time_millis_training: 80.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.745, kappa: 0.4787, kb_relative_information_score: 7587.6238, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7729, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8907, scimark_benchmark: 1852.9259, usercpu_time_millis: 85.195, usercpu_time_millis_testing: 12.2, usercpu_time_millis_training: 72.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7538, kappa: 0.4946, kb_relative_information_score: 12810.0583, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7709, predictive_accuracy: 0.7624, prior_entropy: 0.9835, recall: 0.7624, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8376, scimark_benchmark: 1714.6802, usercpu_time_millis: 124.231, usercpu_time_millis_testing: 11.774, usercpu_time_millis_training: 112.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7769, kappa: 0.5413, kb_relative_information_score: 17248.5813, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7888, predictive_accuracy: 0.7829, prior_entropy: 0.9835, recall: 0.7829, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.7779, scimark_benchmark: 1847.3589, usercpu_time_millis: 100.37, usercpu_time_millis_testing: 10.801, usercpu_time_millis_training: 89.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.762, kappa: 0.5117, kb_relative_information_score: 12722.8082, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7808, predictive_accuracy: 0.7707, prior_entropy: 0.9835, recall: 0.7707, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231, scimark_benchmark: 1851.4874, usercpu_time_millis: 117.091, usercpu_time_millis_testing: 11.531, usercpu_time_millis_training: 105.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7551, kappa: 0.4976, kb_relative_information_score: 11822.2064, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7741, predictive_accuracy: 0.7643, prior_entropy: 0.9835, recall: 0.7643, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8411, scimark_benchmark: 1718.9519, usercpu_time_millis: 78.923, usercpu_time_millis_testing: 9.911, usercpu_time_millis_training: 69.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7695, kappa: 0.5259, kb_relative_information_score: 17330.4221, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7797, predictive_accuracy: 0.7753, prior_entropy: 0.9835, recall: 0.7753, relative_absolute_error: 0.6491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7888, scimark_benchmark: 1766.7091, usercpu_time_millis: 116.897, usercpu_time_millis_testing: 8.535, usercpu_time_millis_training: 108.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8726, kappa: 0.7387, kb_relative_information_score: 26520.5435, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8727, predictive_accuracy: 0.8729, prior_entropy: 0.9835, recall: 0.8729, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.6167, scimark_benchmark: 1819.232, usercpu_time_millis: 116.127, usercpu_time_millis_testing: 6.096, usercpu_time_millis_training: 110.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8173, kappa: 0.6246, kb_relative_information_score: 20661.2561, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8179, predictive_accuracy: 0.8184, prior_entropy: 0.9835, recall: 0.8184, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7296, scimark_benchmark: 1709.9717, usercpu_time_millis: 104.271, usercpu_time_millis_testing: 9.297, usercpu_time_millis_training: 94.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7385, kappa: 0.4667, kb_relative_information_score: 5477.7821, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7712, predictive_accuracy: 0.7525, prior_entropy: 0.9835, recall: 0.7525, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9194, scimark_benchmark: 1722.7088, usercpu_time_millis: 74.085, usercpu_time_millis_testing: 6.377, usercpu_time_millis_training: 67.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8093, kappa: 0.608, kb_relative_information_score: 19383.092, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8105, predictive_accuracy: 0.8108, prior_entropy: 0.9835, recall: 0.8108, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7507, scimark_benchmark: 1666.1813, usercpu_time_millis: 105.443, usercpu_time_millis_testing: 3.959, usercpu_time_millis_training: 101.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9273, kappa: 0.8511, kb_relative_information_score: 33567.8957, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9273, predictive_accuracy: 0.9273, prior_entropy: 0.9835, recall: 0.9273, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4817, scimark_benchmark: 785.9214, usercpu_time_millis: 75.877, usercpu_time_millis_testing: 3.03, usercpu_time_millis_training: 72.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8127, kappa: 0.6159, kb_relative_information_score: 20881.3567, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8126, predictive_accuracy: 0.8131, prior_entropy: 0.9835, recall: 0.8131, relative_absolute_error: 0.5686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7353, scimark_benchmark: 1712.0592, usercpu_time_millis: 100.426, usercpu_time_millis_testing: 7.323, usercpu_time_millis_training: 93.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8745, kappa: 0.7428, kb_relative_information_score: 26841.2762, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8745, predictive_accuracy: 0.8747, prior_entropy: 0.9835, recall: 0.8747, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6151, scimark_benchmark: 1728.8693, usercpu_time_millis: 92.569, usercpu_time_millis_testing: 4.428, usercpu_time_millis_training: 88.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7569, kappa: 0.501, kb_relative_information_score: 12745.0017, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7747, predictive_accuracy: 0.7656, prior_entropy: 0.9835, recall: 0.7656, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8305, scimark_benchmark: 1716.5927, usercpu_time_millis: 118.58, usercpu_time_millis_testing: 9.107, usercpu_time_millis_training: 109.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.7868, kappa: 0.5613, kb_relative_information_score: 17397.7404, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.796, predictive_accuracy: 0.7916, prior_entropy: 0.9835, recall: 0.7916, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7702, scimark_benchmark: 1716.4902, usercpu_time_millis: 96.425, usercpu_time_millis_testing: 9.962, usercpu_time_millis_training: 86.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9278, kappa: 0.8523, kb_relative_information_score: 34348.7599, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9835, recall: 0.9278, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4778, scimark_benchmark: 1723.9607, usercpu_time_millis: 66.808, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 64.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -2.4338, 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: 1832.6425, usercpu_time_millis: 78.503, usercpu_time_millis_testing: 5.107, usercpu_time_millis_training: 73.396,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8142, kappa: 0.6186, kb_relative_information_score: 20767.2188, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8142, predictive_accuracy: 0.8148, prior_entropy: 0.9835, recall: 0.8148, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7341, scimark_benchmark: 1836.1651, usercpu_time_millis: 114.72, usercpu_time_millis_testing: 6.472, usercpu_time_millis_training: 108.248,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7492, kappa: 0.4852, kb_relative_information_score: 13749.9373, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8382, scimark_benchmark: 1767.676, usercpu_time_millis: 60.857, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 56.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.7727, kappa: 0.5324, kb_relative_information_score: 17169.1536, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7824, predictive_accuracy: 0.7782, prior_entropy: 0.9835, recall: 0.7782, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7859, scimark_benchmark: 1849.9572, usercpu_time_millis: 57.286, usercpu_time_millis_testing: 3.855, usercpu_time_millis_training: 53.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7647, kappa: 0.5162, kb_relative_information_score: 16500.2529, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7763, predictive_accuracy: 0.7712, prior_entropy: 0.9835, recall: 0.7712, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7959, scimark_benchmark: 1718.652, usercpu_time_millis: 21.478, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 20.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8341, kappa: 0.6595, kb_relative_information_score: 23430.21, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8341, predictive_accuracy: 0.8346, prior_entropy: 0.9835, recall: 0.8346, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.688, scimark_benchmark: 1717.4383, usercpu_time_millis: 38.808, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 37.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.496, 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: 1732.0396, usercpu_time_millis: 43.892, usercpu_time_millis_testing: 7.11, usercpu_time_millis_training: 36.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.3354, 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: 1901.8454, usercpu_time_millis: 40.45, usercpu_time_millis_testing: 7.04, usercpu_time_millis_training: 33.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.7896, kappa: 0.567, kb_relative_information_score: 18120.456, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7962, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7703, scimark_benchmark: 1693.7608, usercpu_time_millis: 19.497, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 18.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8618, kappa: 0.7165, kb_relative_information_score: 25796.6947, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8618, predictive_accuracy: 0.8621, prior_entropy: 0.9835, recall: 0.8621, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.635, scimark_benchmark: 1736.4936, usercpu_time_millis: 33.897, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 32.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2445, 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: 52.521, usercpu_time_millis_testing: 9.12, usercpu_time_millis_training: 43.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.7861, kappa: 0.5599, kb_relative_information_score: 17797.2449, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.788, predictive_accuracy: 0.7883, prior_entropy: 0.9835, recall: 0.7883, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7842, scimark_benchmark: 1836.2567, usercpu_time_millis: 22.347, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 21.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8525, kappa: 0.6976, kb_relative_information_score: 25052.1308, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8526, predictive_accuracy: 0.8529, prior_entropy: 0.9835, recall: 0.8529, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6559, scimark_benchmark: 1853.3841, usercpu_time_millis: 13.757, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 13.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8084, kappa: 0.6069, kb_relative_information_score: 20638.4485, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8083, predictive_accuracy: 0.8089, prior_entropy: 0.9835, recall: 0.8089, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7416, scimark_benchmark: 1741.3825, usercpu_time_millis: 10.349, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 9.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7489, kappa: 0.4846, kb_relative_information_score: 14085.752, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8399, scimark_benchmark: 1727.4934, usercpu_time_millis: 47.618, usercpu_time_millis_testing: 4.868, usercpu_time_millis_training: 42.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8272, kappa: 0.6449, kb_relative_information_score: 21234.9242, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 0.9835, recall: 0.8284, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7095, scimark_benchmark: 1740.9783, usercpu_time_millis: 28.942, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 27.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.816, kappa: 0.6225, kb_relative_information_score: 21660.8245, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.816, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7247, scimark_benchmark: 1724.016, usercpu_time_millis: 24.165, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 23.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7711, kappa: 0.529, kb_relative_information_score: 17500.9232, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7759, prior_entropy: 0.9835, recall: 0.7759, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7886, scimark_benchmark: 1851.3287, usercpu_time_millis: 27.104, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 25.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7502, kappa: 0.4872, kb_relative_information_score: 11498.1731, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8593, scimark_benchmark: 1697.618, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.1564, 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: 1758.1467, usercpu_time_millis: 13.44, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 11.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8799, kappa: 0.7538, kb_relative_information_score: 27103.7145, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8799, predictive_accuracy: 0.8801, prior_entropy: 0.9835, recall: 0.8801, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6058, scimark_benchmark: 1665.0294, usercpu_time_millis: 30.232, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 28.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.798, kappa: 0.5843, kb_relative_information_score: 18350.9323, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8035, predictive_accuracy: 0.8014, prior_entropy: 0.9835, recall: 0.8014, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7562, scimark_benchmark: 1725.9723, usercpu_time_millis: 29.213, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 27.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -2.5285, 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: 1716.0419, usercpu_time_millis: 3.357, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 11469.0545, mean_absolute_error: 0.385, 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: 0.788, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8637, scimark_benchmark: 1717.382, usercpu_time_millis: 23.705, usercpu_time_millis_testing: 1.664, usercpu_time_millis_training: 22.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7784, kappa: 0.5441, kb_relative_information_score: 17332.2505, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7889, predictive_accuracy: 0.7839, prior_entropy: 0.9835, recall: 0.7839, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7773, scimark_benchmark: 1712.5595, usercpu_time_millis: 36.53, usercpu_time_millis_testing: 1.485, usercpu_time_millis_training: 35.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.5695, 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: 1847.9815, usercpu_time_millis: 21.674, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 20.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -8.9507, 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: 1892.615, usercpu_time_millis: 2.421, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.2832, 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: 1718.6781, usercpu_time_millis: 26.353, usercpu_time_millis_testing: 1.496, usercpu_time_millis_training: 24.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.0296, 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: 1741.443, usercpu_time_millis: 35.01, usercpu_time_millis_testing: 5.933, usercpu_time_millis_training: 29.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.753, kappa: 0.4932, kb_relative_information_score: 10940.6314, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7717, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.7988, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8564, scimark_benchmark: 1710.815, usercpu_time_millis: 17.178, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 16.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7645, kappa: 0.5166, kb_relative_information_score: 12931.6845, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7826, predictive_accuracy: 0.7728, prior_entropy: 0.9835, recall: 0.7728, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1738.3099, usercpu_time_millis: 10.008, usercpu_time_millis_testing: 0.705, usercpu_time_millis_training: 9.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.8018, 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: 1718.188, usercpu_time_millis: 12.596, usercpu_time_millis_testing: 1.433, usercpu_time_millis_training: 11.163,
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: 0.91, f_measure: 0.826, kappa: 0.6428, kb_relative_information_score: 22309.254, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8261, predictive_accuracy: 0.8266, prior_entropy: 0.9835, recall: 0.8266, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7044, scimark_benchmark: 1728.4118, usercpu_time_millis: 13.262, usercpu_time_millis_testing: 0.589, usercpu_time_millis_training: 12.673,

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