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: 0.8042, f_measure: 0.7378, kappa: 0.4632, kb_relative_information_score: 9644.8885, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7493, prior_entropy: 0.9835, recall: 0.7493, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8691, scimark_benchmark: 1261.3049, usercpu_time_millis: 1.861, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7546, kappa: 0.495, kb_relative_information_score: 15605.1305, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7597, prior_entropy: 0.9835, recall: 0.7597, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1266.4423, usercpu_time_millis: 2.732, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1276.5488, usercpu_time_millis: 1.627, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.4637, kappa: 0.0527, kb_relative_information_score: 2054.7942, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7505, predictive_accuracy: 0.5949, prior_entropy: 0.9835, recall: 0.5949, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9691, scimark_benchmark: 1271.2448, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1274.2145, usercpu_time_millis: 1.586, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1263.8802, usercpu_time_millis: 1.789, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1270.1906, usercpu_time_millis: 1.522, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1251.9763, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1254.862, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1258.09, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6615, kappa: 0.3282, kb_relative_information_score: 10520.7243, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6805, predictive_accuracy: 0.6601, prior_entropy: 0.9835, recall: 0.6601, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8823, scimark_benchmark: 1261.8446, usercpu_time_millis: 482.804, usercpu_time_millis_testing: -0.057, usercpu_time_millis_training: 482.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7532, kappa: 0.4922, kb_relative_information_score: 15114.224, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8225, scimark_benchmark: 1260.3855, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8217, f_measure: 0.7462, kappa: 0.4782, kb_relative_information_score: 12874.6391, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7576, predictive_accuracy: 0.7534, prior_entropy: 0.9835, recall: 0.7534, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8362, scimark_benchmark: 1274.333, usercpu_time_millis: 2.696, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 2.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1274.4964, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15201.4293, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6941, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.822, scimark_benchmark: 1261.2389, usercpu_time_millis: 2.971, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 2.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.4745, kappa: 0.0665, kb_relative_information_score: 2151.6622, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7543, predictive_accuracy: 0.6001, prior_entropy: 0.9835, recall: 0.6001, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9683, scimark_benchmark: 1275.0256, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 2.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7263, kappa: 0.4433, kb_relative_information_score: 7878.3418, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7638, predictive_accuracy: 0.7426, prior_entropy: 0.9835, recall: 0.7426, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8892, scimark_benchmark: 1254.1, usercpu_time_millis: 1.702, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1268.7245, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1257.1634, usercpu_time_millis: 2.127, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7506, kappa: 0.4874, kb_relative_information_score: 12755.847, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7627, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8402, scimark_benchmark: 1271.0403, usercpu_time_millis: 2.691, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 2.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7489, kappa: 0.4841, kb_relative_information_score: 12610.3842, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7567, prior_entropy: 0.9835, recall: 0.7567, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8386, scimark_benchmark: 1272.1517, usercpu_time_millis: 3.46, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 3.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.754, kappa: 0.4937, kb_relative_information_score: 15374.4077, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7592, prior_entropy: 0.9835, recall: 0.7592, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1273.3992, usercpu_time_millis: 2.315, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1255.6383, usercpu_time_millis: 1.345, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1256.8666, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.742, kappa: 0.4708, kb_relative_information_score: 10696.1019, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7517, prior_entropy: 0.9835, recall: 0.7517, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8568, scimark_benchmark: 1261.9792, usercpu_time_millis: 1.859, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 1.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7397, kappa: 0.4669, kb_relative_information_score: 9777.4117, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7508, prior_entropy: 0.9835, recall: 0.7508, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.429, root_relative_squared_error: 0.868, scimark_benchmark: 1274.5284, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1275.677, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1278.6646, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6609, kappa: 0.3268, kb_relative_information_score: 10435.1095, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6796, predictive_accuracy: 0.6595, prior_entropy: 0.9835, recall: 0.6595, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8825, scimark_benchmark: 1258.4238, usercpu_time_millis: 515.321, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 515.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6245, kappa: 0.2763, kb_relative_information_score: 8830.7718, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6655, predictive_accuracy: 0.6266, prior_entropy: 0.9835, recall: 0.6266, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9015, scimark_benchmark: 1268.1041, usercpu_time_millis: 657.484, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 657.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.5825, kappa: 0.2251, kb_relative_information_score: 7048.3161, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6527, predictive_accuracy: 0.5924, prior_entropy: 0.9835, recall: 0.5924, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9214, scimark_benchmark: 1240.1565, usercpu_time_millis: 829.418, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 829.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7548, kappa: 0.4953, kb_relative_information_score: 15674.0845, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1251.3102, usercpu_time_millis: 3.543, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 3.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1258.5212, usercpu_time_millis: 1.54, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7455, kappa: 0.4774, kb_relative_information_score: 11726.8924, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7541, prior_entropy: 0.9835, recall: 0.7541, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8461, scimark_benchmark: 1258.3269, usercpu_time_millis: 2.745, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.624,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.4214, kappa: 0.0012, kb_relative_information_score: 294.4003, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7558, predictive_accuracy: 0.5759, prior_entropy: 0.9835, recall: 0.5759, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9955, scimark_benchmark: 1270.5796, usercpu_time_millis: 3.186, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.958,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.4279, kappa: 0.009, kb_relative_information_score: 748.8675, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.754, predictive_accuracy: 0.5788, prior_entropy: 0.9835, recall: 0.5788, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.989, scimark_benchmark: 1274.2251, usercpu_time_millis: 1.89, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1237.5694, usercpu_time_millis: 3.448, usercpu_time_millis_testing: 0.836, usercpu_time_millis_training: 2.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1232.1966, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7439, kappa: 0.475, kb_relative_information_score: 10215.1753, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7541, prior_entropy: 0.9835, recall: 0.7541, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8641, scimark_benchmark: 1267.5624, usercpu_time_millis: 1.655, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.4819, kappa: 0.0736, kb_relative_information_score: 2287.2486, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7298, predictive_accuracy: 0.6022, prior_entropy: 0.9835, recall: 0.6022, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9653, scimark_benchmark: 1273.8145, usercpu_time_millis: 2.092, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.4904, kappa: 0.0863, kb_relative_information_score: 2459.8626, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7482, predictive_accuracy: 0.6073, prior_entropy: 0.9835, recall: 0.6073, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9631, scimark_benchmark: 1262.9945, usercpu_time_millis: 1.557, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1243.3684, usercpu_time_millis: 2.382, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 1.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1269.4074, usercpu_time_millis: 2.232, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1249.091, usercpu_time_millis: 2.001, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1268.4601, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7521, kappa: 0.4901, kb_relative_information_score: 14113.1581, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8284, scimark_benchmark: 1254.6811, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.755, kappa: 0.4958, kb_relative_information_score: 15656.1267, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.7601, prior_entropy: 0.9835, recall: 0.7601, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1258.0148, usercpu_time_millis: 2.408, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7535, kappa: 0.4927, kb_relative_information_score: 15258.8746, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8219, scimark_benchmark: 1251.8279, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 3.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7538, kappa: 0.4934, kb_relative_information_score: 15302.9049, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8221, scimark_benchmark: 1265.8777, usercpu_time_millis: 2.896, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 2.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.7528, kappa: 0.4914, kb_relative_information_score: 15022.6459, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1245.0687, usercpu_time_millis: 3.243, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 3.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1251.7529, usercpu_time_millis: 2.45, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 1.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1232.8918, usercpu_time_millis: 2.261, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1271.051, usercpu_time_millis: 2.309, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 1.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1262.8927, usercpu_time_millis: 2.79, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 2.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1270.7027, usercpu_time_millis: 1.6, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1268.8948, usercpu_time_millis: 3.081, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 2.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1278.3214, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1264.8826, usercpu_time_millis: 1.516, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15239.2014, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8219, scimark_benchmark: 1271.8051, usercpu_time_millis: 2.464, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 2.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1268.5317, usercpu_time_millis: 1.993, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 1.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1269.0873, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1260.6406, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.7503, kappa: 0.4868, kb_relative_information_score: 12792.9519, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8395, scimark_benchmark: 1255.0462, usercpu_time_millis: 2.177, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7418, kappa: 0.4705, kb_relative_information_score: 10593.6698, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7517, prior_entropy: 0.9835, recall: 0.7517, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8579, scimark_benchmark: 1241.8773, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 2.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, 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: 1257.1782, usercpu_time_millis: 1.651, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.362,

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