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: 0.7021, f_measure: 0.5823, kappa: 0.2245, kb_relative_information_score: 7037.0715, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6523, predictive_accuracy: 0.5921, prior_entropy: 0.9835, recall: 0.5921, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1277.9035, usercpu_time_millis: 830.296, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 830.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.6473, kappa: 0.3109, kb_relative_information_score: 4707.7994, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7589, predictive_accuracy: 0.6922, prior_entropy: 0.9835, recall: 0.6922, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9307, scimark_benchmark: 1247.5693, usercpu_time_millis: 1.93, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5501, kappa: 0.1651, kb_relative_information_score: 3315.1348, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.745, predictive_accuracy: 0.6364, prior_entropy: 0.9835, recall: 0.6364, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9506, scimark_benchmark: 1248.958, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 1.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 15076.9305, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1243.9837, usercpu_time_millis: 2.401, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7436, kappa: 0.474, kb_relative_information_score: 11066.7971, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8539, scimark_benchmark: 1252.6814, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.79,
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: 1269.764, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7436, kappa: 0.4736, kb_relative_information_score: 11422.4318, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.759, predictive_accuracy: 0.7524, prior_entropy: 0.9835, recall: 0.7524, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8491, scimark_benchmark: 1272.0482, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 2.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.4204, kb_relative_information_score: 48.7579, mean_absolute_error: 0.4883, 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: 0.9993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9993, scimark_benchmark: 1223.5369, usercpu_time_millis: 1.553, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.233,
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: 1261.793, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 1.381,
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: 1237.3929, usercpu_time_millis: 1.684, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 1.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.521, kappa: 0.1249, kb_relative_information_score: 2845.9078, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.739, predictive_accuracy: 0.6213, prior_entropy: 0.9835, recall: 0.6213, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9574, scimark_benchmark: 1263.7018, usercpu_time_millis: 2.247, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 2.123,
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: 1240.2444, usercpu_time_millis: 1.613, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.336,
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: 1263.1338, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 1.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7529, kappa: 0.4915, kb_relative_information_score: 14957.062, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7586, prior_entropy: 0.9835, recall: 0.7586, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1271.9583, usercpu_time_millis: 2.454, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 2.356,
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: 1263.3663, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7509, kappa: 0.488, kb_relative_information_score: 13187.0952, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.8348, scimark_benchmark: 1250.4519, usercpu_time_millis: 2.571, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 2.465,
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: 1249.9985, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.811,
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: 1279.3785, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.003,
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: 1249.5771, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.83,
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: 1259.0249, usercpu_time_millis: 1.331, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7512, kappa: 0.4881, kb_relative_information_score: 14279.2711, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8262, scimark_benchmark: 1269.5409, usercpu_time_millis: 2.378, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.281,
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: 1245.0311, usercpu_time_millis: 1.463, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.6469, kappa: 0.3076, kb_relative_information_score: 4682.4178, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7487, predictive_accuracy: 0.69, prior_entropy: 0.9835, recall: 0.69, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9312, scimark_benchmark: 1255.0041, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7518, kappa: 0.4895, kb_relative_information_score: 14466.6656, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8252, scimark_benchmark: 1268.6051, usercpu_time_millis: 2.088, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.983,
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: 1248.7061, usercpu_time_millis: 1.42, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.144,
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: 1239.5817, usercpu_time_millis: 1.461, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.177,
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: 1273.368, usercpu_time_millis: 1.34, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.4349, kappa: 0.0174, kb_relative_information_score: 1302.482, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7508, predictive_accuracy: 0.5819, prior_entropy: 0.9835, recall: 0.5819, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9805, scimark_benchmark: 1278.2595, usercpu_time_millis: 1.776, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6946, kappa: 0.381, kb_relative_information_score: 12255.3232, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6993, predictive_accuracy: 0.693, prior_entropy: 0.9835, recall: 0.693, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1271.8988, usercpu_time_millis: 320.273, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 320.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7258, kappa: 0.4374, kb_relative_information_score: 13876.9844, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7254, predictive_accuracy: 0.7267, prior_entropy: 0.9835, recall: 0.7267, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8419, scimark_benchmark: 1276.6122, usercpu_time_millis: 194.136, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 193.978,
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: 1254.3699, usercpu_time_millis: 1.209, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.918,
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: 1262.3819, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.057,
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: 1259.3923, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7551, kappa: 0.496, kb_relative_information_score: 15743.1219, mean_absolute_error: 0.3327, 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: 0.681, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8206, scimark_benchmark: 1256.9065, usercpu_time_millis: 2.988, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7488, kappa: 0.4841, kb_relative_information_score: 11520.3585, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7638, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7802, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.852, scimark_benchmark: 1247.971, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7509, kappa: 0.4878, kb_relative_information_score: 13436.5898, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8342, scimark_benchmark: 1255.0238, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 2.187,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7519, kappa: 0.4896, kb_relative_information_score: 14400.2475, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8256, scimark_benchmark: 1280.0836, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.4283, kappa: 0.0094, kb_relative_information_score: 774.2822, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7516, predictive_accuracy: 0.5789, prior_entropy: 0.9835, recall: 0.5789, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9886, scimark_benchmark: 1255.1972, usercpu_time_millis: 1.985, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.4317, kappa: 0.0135, kb_relative_information_score: 1256.8789, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7519, predictive_accuracy: 0.5804, prior_entropy: 0.9835, recall: 0.5804, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9809, scimark_benchmark: 1253.6801, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7505, kappa: 0.4872, kb_relative_information_score: 12894.4383, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.763, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8368, scimark_benchmark: 1262.0474, usercpu_time_millis: 1.821, usercpu_time_millis_testing: -0.053, usercpu_time_millis_training: 1.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.6614, kappa: 0.3281, kb_relative_information_score: 10541.2538, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6805, predictive_accuracy: 0.66, prior_entropy: 0.9835, recall: 0.66, relative_absolute_error: 0.7833, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8823, scimark_benchmark: 1273.5828, usercpu_time_millis: 493.846, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 493.732,
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: 1281.4827, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7369, kappa: 0.4622, kb_relative_information_score: 9110.1579, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7637, predictive_accuracy: 0.7495, prior_entropy: 0.9835, recall: 0.7495, relative_absolute_error: 0.8324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8753, scimark_benchmark: 1275.4744, usercpu_time_millis: 1.756, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6946, kappa: 0.3812, kb_relative_information_score: 12305.8687, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6994, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1242.5191, usercpu_time_millis: 319.292, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 319.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5823, kappa: 0.2244, kb_relative_information_score: 7008.544, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6521, predictive_accuracy: 0.5921, prior_entropy: 0.9835, recall: 0.5921, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1268.6331, usercpu_time_millis: 860.955, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 860.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6944, kappa: 0.3806, kb_relative_information_score: 12200.1176, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6991, predictive_accuracy: 0.6929, prior_entropy: 0.9835, recall: 0.6929, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8623, scimark_benchmark: 1272.0478, usercpu_time_millis: 342.508, usercpu_time_millis_testing: -0.039, usercpu_time_millis_training: 342.547,
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: 1273.7079, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.982,
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: 1259.4873, usercpu_time_millis: 1.769, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7192, kappa: 0.4304, kb_relative_information_score: 7366.8268, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7376, prior_entropy: 0.9835, recall: 0.7376, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.8955, scimark_benchmark: 1273.4551, usercpu_time_millis: 1.67, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.544,
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: 1279.5405, usercpu_time_millis: 1.752, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.303,
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: 1265.8714, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.31,
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: 1268.1397, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 1.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7506, kappa: 0.4871, kb_relative_information_score: 13880.0454, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8285, scimark_benchmark: 1263.3229, usercpu_time_millis: 2.91, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.756,
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: 1250.1229, usercpu_time_millis: 2.314, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 1.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6186, kappa: 0.2664, kb_relative_information_score: 4253.4663, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7574, predictive_accuracy: 0.6752, prior_entropy: 0.9835, recall: 0.6752, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9372, scimark_benchmark: 1274.263, usercpu_time_millis: 1.681, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.7507, kappa: 0.4876, kb_relative_information_score: 13117.5928, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8359, scimark_benchmark: 1242.6756, usercpu_time_millis: 2.143, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 2.036,
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: 1258.9374, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.902,
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: 1255.8152, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.158,
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: 1276.4321, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 1.371,
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: 1264.5545, usercpu_time_millis: 2.57, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 2.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7513, kappa: 0.4883, kb_relative_information_score: 14434.807, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8253, scimark_benchmark: 1265.1774, usercpu_time_millis: 3.976, usercpu_time_millis_testing: -0.004, usercpu_time_millis_training: 3.98,
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: 1255.8265, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7515, kappa: 0.4888, kb_relative_information_score: 14477.5469, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8251, scimark_benchmark: 1246.9125, usercpu_time_millis: 2.763, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7486, kappa: 0.4836, kb_relative_information_score: 12118.2104, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7628, predictive_accuracy: 0.7567, prior_entropy: 0.9835, recall: 0.7567, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8449, scimark_benchmark: 1267.6463, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 3.242,
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: 1258.8219, usercpu_time_millis: 1.721, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.434,
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: 1267.2742, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.033,

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