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: 0.8901, f_measure: 0.8117, kappa: 0.6139, kb_relative_information_score: 20958.4245, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8116, predictive_accuracy: 0.8121, prior_entropy: 0.9835, recall: 0.8121, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7367, scimark_benchmark: 1375.0432, usercpu_time_millis: 504.5, usercpu_time_millis_testing: 23.55, usercpu_time_millis_training: 480.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.8029, kappa: 0.5957, kb_relative_information_score: 19832.6942, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8028, predictive_accuracy: 0.8035, prior_entropy: 0.9835, recall: 0.8035, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7514, scimark_benchmark: 1469.9286, usercpu_time_millis: 248.88, usercpu_time_millis_testing: 13.01, usercpu_time_millis_training: 235.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8648, kappa: 0.7228, kb_relative_information_score: 26280.5413, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8648, predictive_accuracy: 0.8651, prior_entropy: 0.9835, recall: 0.8651, relative_absolute_error: 0.4491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6293, scimark_benchmark: 1417.906, usercpu_time_millis: 332.21, usercpu_time_millis_testing: 11.1, usercpu_time_millis_training: 321.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -12.7177, 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: 1447.7037, usercpu_time_millis: 1.53, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8015, kappa: 0.5926, kb_relative_information_score: 19393.0749, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8016, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7562, scimark_benchmark: 1412.4802, usercpu_time_millis: 234.59, usercpu_time_millis_testing: 12.9, usercpu_time_millis_training: 221.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7488, kappa: 0.4844, kb_relative_information_score: 14211.492, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8423, scimark_benchmark: 1435.3281, usercpu_time_millis: 32.39, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 29.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8528, kappa: 0.698, kb_relative_information_score: 24686.9787, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9835, recall: 0.8534, relative_absolute_error: 0.4867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6529, scimark_benchmark: 1428.8965, usercpu_time_millis: 135.45, usercpu_time_millis_testing: 5.82, usercpu_time_millis_training: 129.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.8109, kappa: 0.6114, kb_relative_information_score: 19517.6849, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8119, predictive_accuracy: 0.8123, prior_entropy: 0.9835, recall: 0.8123, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7489, scimark_benchmark: 1379.3818, usercpu_time_millis: 118.37, usercpu_time_millis_testing: 6.11, usercpu_time_millis_training: 112.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9232, kappa: 0.8429, kb_relative_information_score: 35405.5704, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9232, predictive_accuracy: 0.9232, prior_entropy: 0.9835, recall: 0.9232, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.4861, scimark_benchmark: 1353.7118, usercpu_time_millis: 109.84, usercpu_time_millis_testing: 1.84, usercpu_time_millis_training: 108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.7555, kappa: 0.4983, kb_relative_information_score: 12817.7052, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7737, predictive_accuracy: 0.7644, prior_entropy: 0.9835, recall: 0.7644, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8298, scimark_benchmark: 1338.9898, usercpu_time_millis: 5.52, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 5.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8017, kappa: 0.5917, kb_relative_information_score: 16882.6456, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8077, predictive_accuracy: 0.8051, prior_entropy: 0.9835, recall: 0.8051, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7645, scimark_benchmark: 1832.754, usercpu_time_millis: 132.146, usercpu_time_millis_testing: 8.977, usercpu_time_millis_training: 123.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7482, kappa: 0.4832, kb_relative_information_score: 13170.2839, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7648, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.863, scimark_benchmark: 1815.9966, usercpu_time_millis: 98.809, usercpu_time_millis_testing: 11.643, usercpu_time_millis_training: 87.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7923, kappa: 0.5734, kb_relative_information_score: 18302.391, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7927, predictive_accuracy: 0.7936, prior_entropy: 0.9835, recall: 0.7936, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7745, scimark_benchmark: 1726.1218, usercpu_time_millis: 144.493, usercpu_time_millis_testing: 10.7, usercpu_time_millis_training: 133.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -3.0279, 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: 1827.8163, usercpu_time_millis: 8.61, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 8.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8286, kappa: 0.6479, kb_relative_information_score: 21994.4282, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8291, predictive_accuracy: 0.8295, prior_entropy: 0.9835, recall: 0.8295, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7031, scimark_benchmark: 1831.6082, usercpu_time_millis: 99.728, usercpu_time_millis_testing: 4.627, usercpu_time_millis_training: 95.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7404, kappa: 0.4702, kb_relative_information_score: 6106.7954, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7719, predictive_accuracy: 0.7539, prior_entropy: 0.9835, recall: 0.7539, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9107, scimark_benchmark: 1802.8151, usercpu_time_millis: 64.78, usercpu_time_millis_testing: 8.834, usercpu_time_millis_training: 55.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.2557, 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: 1814.4971, usercpu_time_millis: 69.839, usercpu_time_millis_testing: 4.096, usercpu_time_millis_training: 65.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9144, kappa: 0.8245, kb_relative_information_score: 31031.3328, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9144, predictive_accuracy: 0.9145, prior_entropy: 0.9835, recall: 0.9145, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.5236, scimark_benchmark: 1480.8748, usercpu_time_millis: 1851.9, usercpu_time_millis_testing: 92.26, usercpu_time_millis_training: 1759.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8376, kappa: 0.6667, kb_relative_information_score: 23213.3616, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8378, predictive_accuracy: 0.8382, prior_entropy: 0.9835, recall: 0.8382, relative_absolute_error: 0.5183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6844, scimark_benchmark: 1417.8354, usercpu_time_millis: 755.51, usercpu_time_millis_testing: 41.4, usercpu_time_millis_training: 714.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8765, kappa: 0.7471, kb_relative_information_score: 27648.4813, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8765, predictive_accuracy: 0.8767, prior_entropy: 0.9835, recall: 0.8767, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6091, scimark_benchmark: 1571.9805, usercpu_time_millis: 1345.75, usercpu_time_millis_testing: 32, usercpu_time_millis_training: 1313.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8581, kappa: 0.7088, kb_relative_information_score: 24929.4244, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8583, predictive_accuracy: 0.8586, prior_entropy: 0.9835, recall: 0.8586, relative_absolute_error: 0.4825, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6466, scimark_benchmark: 1421.7771, usercpu_time_millis: 173.74, usercpu_time_millis_testing: 11.36, usercpu_time_millis_training: 162.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.85, kappa: 0.6922, kb_relative_information_score: 23800.3211, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8504, predictive_accuracy: 0.8507, prior_entropy: 0.9835, recall: 0.8507, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6631, scimark_benchmark: 1366.852, usercpu_time_millis: 530.34, usercpu_time_millis_testing: 30.07, usercpu_time_millis_training: 500.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8526, kappa: 0.6976, kb_relative_information_score: 24605.7368, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8528, predictive_accuracy: 0.8532, prior_entropy: 0.9835, recall: 0.8532, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6545, scimark_benchmark: 1419.6816, usercpu_time_millis: 344.64, usercpu_time_millis_testing: 14.88, usercpu_time_millis_training: 329.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7625, kappa: 0.5126, kb_relative_information_score: 12684.5578, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7711, prior_entropy: 0.9835, recall: 0.7711, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8238, scimark_benchmark: 1412.7618, usercpu_time_millis: 115.49, usercpu_time_millis_testing: 6.41, usercpu_time_millis_training: 109.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8682, kappa: 0.7299, kb_relative_information_score: 26500.1598, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8682, predictive_accuracy: 0.8685, prior_entropy: 0.9835, recall: 0.8685, relative_absolute_error: 0.4441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6254, scimark_benchmark: 1433.7863, usercpu_time_millis: 68.79, usercpu_time_millis_testing: 2.04, usercpu_time_millis_training: 66.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8958, kappa: 0.7866, kb_relative_information_score: 29238.6699, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8958, predictive_accuracy: 0.896, prior_entropy: 0.9835, recall: 0.896, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5682, scimark_benchmark: 1455.0403, usercpu_time_millis: 275.61, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 268.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8436, kappa: 0.679, kb_relative_information_score: 23819.6155, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8438, predictive_accuracy: 0.8442, prior_entropy: 0.9835, recall: 0.8442, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6729, scimark_benchmark: 1367.9706, usercpu_time_millis: 158.14, usercpu_time_millis_testing: 8.67, usercpu_time_millis_training: 149.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.875, kappa: 0.7438, kb_relative_information_score: 27397.29, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8749, predictive_accuracy: 0.8751, prior_entropy: 0.9835, recall: 0.8751, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.303, root_relative_squared_error: 0.6131, scimark_benchmark: 1435.1802, usercpu_time_millis: 1145.29, usercpu_time_millis_testing: 21.77, usercpu_time_millis_training: 1123.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8782, kappa: 0.7503, kb_relative_information_score: 27239.1423, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8782, predictive_accuracy: 0.8784, prior_entropy: 0.9835, recall: 0.8784, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6072, scimark_benchmark: 1366.64, usercpu_time_millis: 448.91, usercpu_time_millis_testing: 10.72, usercpu_time_millis_training: 438.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8682, kappa: 0.7299, kb_relative_information_score: 26434.964, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8682, predictive_accuracy: 0.8685, prior_entropy: 0.9835, recall: 0.8685, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6249, scimark_benchmark: 1441.5294, usercpu_time_millis: 618.54, usercpu_time_millis_testing: 26.16, usercpu_time_millis_training: 592.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8256, kappa: 0.6421, kb_relative_information_score: 22373.5489, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8256, predictive_accuracy: 0.8261, prior_entropy: 0.9835, recall: 0.8261, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7069, scimark_benchmark: 1489.1745, usercpu_time_millis: 52.2, usercpu_time_millis_testing: 2.73, usercpu_time_millis_training: 49.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8915, kappa: 0.7774, kb_relative_information_score: 28009.5105, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 0.9835, recall: 0.8917, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.5792, scimark_benchmark: 1316.404, usercpu_time_millis: 1423.84, usercpu_time_millis_testing: 83.92, usercpu_time_millis_training: 1339.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8667, kappa: 0.7266, kb_relative_information_score: 25963.5411, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8668, predictive_accuracy: 0.8671, prior_entropy: 0.9835, recall: 0.8671, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6279, scimark_benchmark: 1334.5783, usercpu_time_millis: 1080.92, usercpu_time_millis_testing: 38.88, usercpu_time_millis_training: 1042.04,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.8088, kappa: 0.6081, kb_relative_information_score: 20399.5456, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8087, predictive_accuracy: 0.8093, prior_entropy: 0.9835, recall: 0.8093, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7443, scimark_benchmark: 1349.201, usercpu_time_millis: 47.51, usercpu_time_millis_testing: 2.48, usercpu_time_millis_training: 45.03,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7537, kappa: 0.4954, kb_relative_information_score: 10682.985, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7761, predictive_accuracy: 0.7639, prior_entropy: 0.9835, recall: 0.7639, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8501, scimark_benchmark: 1401.3731, usercpu_time_millis: 35.54, usercpu_time_millis_testing: 3.51, usercpu_time_millis_training: 32.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8391, kappa: 0.6698, kb_relative_information_score: 23477.8252, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8392, predictive_accuracy: 0.8396, prior_entropy: 0.9835, recall: 0.8396, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6821, scimark_benchmark: 1470.8327, usercpu_time_millis: 102.31, usercpu_time_millis_testing: 5.4, usercpu_time_millis_training: 96.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7484, kappa: 0.4836, kb_relative_information_score: 12561.3183, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7654, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8538, scimark_benchmark: 1447.565, usercpu_time_millis: 2.13, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.851, kappa: 0.6942, kb_relative_information_score: 24446.6248, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8513, predictive_accuracy: 0.8516, prior_entropy: 0.9835, recall: 0.8516, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6575, scimark_benchmark: 1441.9841, usercpu_time_millis: 111.6, usercpu_time_millis_testing: 5.51, usercpu_time_millis_training: 106.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.7917, kappa: 0.5713, kb_relative_information_score: 16128.8263, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8, predictive_accuracy: 0.7961, prior_entropy: 0.9835, recall: 0.7961, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7758, scimark_benchmark: 1455.6634, usercpu_time_millis: 327.48, usercpu_time_millis_testing: 32.16, usercpu_time_millis_training: 295.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7482, kappa: 0.4831, kb_relative_information_score: 13010.3798, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.856, scimark_benchmark: 1393.7149, usercpu_time_millis: 43.53, usercpu_time_millis_testing: 4.24, usercpu_time_millis_training: 39.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8351, kappa: 0.6616, kb_relative_information_score: 23171.3824, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8352, predictive_accuracy: 0.8357, prior_entropy: 0.9835, recall: 0.8357, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.689, scimark_benchmark: 1276.368, usercpu_time_millis: 451.66, usercpu_time_millis_testing: 18.02, usercpu_time_millis_training: 433.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8163, kappa: 0.6225, kb_relative_information_score: 20533.3132, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8169, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7316, scimark_benchmark: 1362.0045, usercpu_time_millis: 241.26, usercpu_time_millis_testing: 20.79, usercpu_time_millis_training: 220.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8275, kappa: 0.6453, kb_relative_information_score: 19431.6712, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8294, predictive_accuracy: 0.8291, prior_entropy: 0.9835, recall: 0.8291, relative_absolute_error: 0.6127, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7231, scimark_benchmark: 1438.7703, usercpu_time_millis: 64.34, usercpu_time_millis_testing: 4.59, usercpu_time_millis_training: 59.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8579, kappa: 0.7084, kb_relative_information_score: 25235.7601, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.858, predictive_accuracy: 0.8583, prior_entropy: 0.9835, recall: 0.8583, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6422, scimark_benchmark: 1270.1525, usercpu_time_millis: 562.5, usercpu_time_millis_testing: 24.01, usercpu_time_millis_training: 538.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8839, kappa: 0.7623, kb_relative_information_score: 29336.5335, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8839, predictive_accuracy: 0.8839, prior_entropy: 0.9835, recall: 0.8839, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5955, scimark_benchmark: 1420.6564, usercpu_time_millis: 5.74, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 5.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8297, kappa: 0.6499, kb_relative_information_score: 19640.5834, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8316, predictive_accuracy: 0.8312, prior_entropy: 0.9835, recall: 0.8312, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7199, scimark_benchmark: 1328.8688, usercpu_time_millis: 143.69, usercpu_time_millis_testing: 16.6, usercpu_time_millis_training: 127.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.0674, 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: 1385.1936, usercpu_time_millis: 137.18, usercpu_time_millis_testing: 8.92, usercpu_time_millis_training: 128.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7867, kappa: 0.5611, kb_relative_information_score: 15591.8876, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7967, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.7834, scimark_benchmark: 1388.8737, usercpu_time_millis: 299.26, usercpu_time_millis_testing: 35.84, usercpu_time_millis_training: 263.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 12410.1202, mean_absolute_error: 0.3747, 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: 0.7669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8627, scimark_benchmark: 1358.4494, usercpu_time_millis: 45.12, usercpu_time_millis_testing: 4.02, usercpu_time_millis_training: 41.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8708, kappa: 0.7352, kb_relative_information_score: 26572.1679, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8709, predictive_accuracy: 0.8711, prior_entropy: 0.9835, recall: 0.8711, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6209, scimark_benchmark: 1396.5087, usercpu_time_millis: 1121.05, usercpu_time_millis_testing: 46.96, usercpu_time_millis_training: 1074.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8613, kappa: 0.7154, kb_relative_information_score: 24992.163, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8615, predictive_accuracy: 0.8618, prior_entropy: 0.9835, recall: 0.8618, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6397, scimark_benchmark: 1415.2867, usercpu_time_millis: 564.95, usercpu_time_millis_testing: 34.51, usercpu_time_millis_training: 530.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.827, kappa: 0.6449, kb_relative_information_score: 22300.5277, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8272, predictive_accuracy: 0.8277, prior_entropy: 0.9835, recall: 0.8277, relative_absolute_error: 0.5382, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7038, scimark_benchmark: 1305.7009, usercpu_time_millis: 286.94, usercpu_time_millis_testing: 15.37, usercpu_time_millis_training: 271.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.8736, kappa: 0.7406, kb_relative_information_score: 26295.1832, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 0.9835, recall: 0.8739, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6179, scimark_benchmark: 1313.1789, usercpu_time_millis: 160.99, usercpu_time_millis_testing: 12.68, usercpu_time_millis_training: 148.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8235, kappa: 0.6369, kb_relative_information_score: 19018.5536, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.826, predictive_accuracy: 0.8253, prior_entropy: 0.9835, recall: 0.8253, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.7312, scimark_benchmark: 1315.0072, usercpu_time_millis: 141.33, usercpu_time_millis_testing: 16.59, usercpu_time_millis_training: 124.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8829, kappa: 0.7601, kb_relative_information_score: 27653.8889, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8829, predictive_accuracy: 0.8831, prior_entropy: 0.9835, recall: 0.8831, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5994, scimark_benchmark: 1321.5536, usercpu_time_millis: 344.41, usercpu_time_millis_testing: 13.06, usercpu_time_millis_training: 331.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8485, kappa: 0.6892, kb_relative_information_score: 24663.5862, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8485, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6625, scimark_benchmark: 1330.7558, usercpu_time_millis: 336.23, usercpu_time_millis_testing: 16.87, usercpu_time_millis_training: 319.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8022, kappa: 0.594, kb_relative_information_score: 20136.1905, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8021, predictive_accuracy: 0.8029, prior_entropy: 0.9835, recall: 0.8029, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7515, scimark_benchmark: 1366.491, usercpu_time_millis: 295.97, usercpu_time_millis_testing: 10.24, usercpu_time_millis_training: 285.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8944, kappa: 0.7835, kb_relative_information_score: 28486.2684, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8945, predictive_accuracy: 0.8947, prior_entropy: 0.9835, recall: 0.8947, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5699, scimark_benchmark: 1340.2884, usercpu_time_millis: 409.64, usercpu_time_millis_testing: 21.44, usercpu_time_millis_training: 388.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7542, kappa: 0.4953, kb_relative_information_score: 13438.7927, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8284, scimark_benchmark: 1334.9362, usercpu_time_millis: 141.58, usercpu_time_millis_testing: 14.49, usercpu_time_millis_training: 127.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9013, kappa: 0.7977, kb_relative_information_score: 29731.6493, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9012, predictive_accuracy: 0.9014, prior_entropy: 0.9835, recall: 0.9014, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5553, scimark_benchmark: 1360.8255, usercpu_time_millis: 406.89, usercpu_time_millis_testing: 15.8, usercpu_time_millis_training: 391.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8425, kappa: 0.6769, kb_relative_information_score: 24049.8471, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8424, predictive_accuracy: 0.8429, prior_entropy: 0.9835, recall: 0.8429, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6753, scimark_benchmark: 1351.4992, usercpu_time_millis: 368.86, usercpu_time_millis_testing: 11.87, usercpu_time_millis_training: 356.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7816, kappa: 0.5505, kb_relative_information_score: 17491.3055, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.784, predictive_accuracy: 0.7841, prior_entropy: 0.9835, recall: 0.7841, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7866, scimark_benchmark: 1344.3405, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 2.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 14208.4434, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8402, scimark_benchmark: 1352.4398, usercpu_time_millis: 118.07, usercpu_time_millis_testing: 9.17, usercpu_time_millis_training: 108.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8179, kappa: 0.6255, kb_relative_information_score: 20087.0505, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8199, predictive_accuracy: 0.8196, prior_entropy: 0.9835, recall: 0.8196, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.729, scimark_benchmark: 1365.1917, usercpu_time_millis: 298.99, usercpu_time_millis_testing: 20.33, usercpu_time_millis_training: 278.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.792, kappa: 0.572, kb_relative_information_score: 17831.1243, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7991, predictive_accuracy: 0.7961, prior_entropy: 0.9835, recall: 0.7961, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.7639, scimark_benchmark: 1333.2492, usercpu_time_millis: 268.84, usercpu_time_millis_testing: 23.85, usercpu_time_millis_training: 244.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7553, kappa: 0.4973, kb_relative_information_score: 15656.7133, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7695, predictive_accuracy: 0.763, prior_entropy: 0.9835, recall: 0.763, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8106, scimark_benchmark: 1355.0771, usercpu_time_millis: 168.86, usercpu_time_millis_testing: 11.01, usercpu_time_millis_training: 157.85,

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