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: 0.4999, 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: 1852.5406, usercpu_time_millis: 0.569, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.494,
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: 1855.0232, usercpu_time_millis: 0.582, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.508,
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: 1935.649, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6122, kappa: 0.24, kb_relative_information_score: 5827.0375, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6975, predictive_accuracy: 0.6599, prior_entropy: 0.9835, recall: 0.6599, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9334, scimark_benchmark: 1845.779, usercpu_time_millis: 4831.85, usercpu_time_millis_testing: 37.482, usercpu_time_millis_training: 4794.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15365.2286, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8217, scimark_benchmark: 1848.2722, usercpu_time_millis: 1.159, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.088,
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: 1849.7595, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.442, kappa: 0.026, kb_relative_information_score: 1597.9939, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7532, predictive_accuracy: 0.5851, prior_entropy: 0.9835, recall: 0.5851, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9759, scimark_benchmark: 1854.9533, usercpu_time_millis: 0.638, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7547, kappa: 0.4951, kb_relative_information_score: 15626.7991, mean_absolute_error: 0.3342, 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: 0.6839, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8211, scimark_benchmark: 1784.7729, usercpu_time_millis: 1.3, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.227,
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: 1218.8299, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7439, kappa: 0.4745, kb_relative_information_score: 11209.2812, mean_absolute_error: 0.3844, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7532, prior_entropy: 0.9835, recall: 0.7532, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8515, scimark_benchmark: 1838.8304, usercpu_time_millis: 0.968, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.882,
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: 1859.1356, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7477, kappa: 0.4821, kb_relative_information_score: 11094.3511, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.764, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.856, scimark_benchmark: 1836.1651, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.688,
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: 1857.0384, usercpu_time_millis: 0.574, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7762, kappa: 0.5393, kb_relative_information_score: 17100.1706, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7832, predictive_accuracy: 0.7807, prior_entropy: 0.9835, recall: 0.7807, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7965, scimark_benchmark: 1834.7162, usercpu_time_millis: 5110.271, usercpu_time_millis_testing: 23.325, usercpu_time_millis_training: 5086.946,
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: 1849.3014, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.528,
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: 1841.2365, usercpu_time_millis: 0.594, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, f_measure: 0.7471, kappa: 0.4803, kb_relative_information_score: 12543.5953, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7596, predictive_accuracy: 0.7547, prior_entropy: 0.9835, recall: 0.7547, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8386, scimark_benchmark: 1853.454, usercpu_time_millis: 1.063, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.5212, kappa: 0.1257, kb_relative_information_score: 2874.0487, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7425, predictive_accuracy: 0.6217, prior_entropy: 0.9835, recall: 0.6217, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9569, scimark_benchmark: 1814.9229, usercpu_time_millis: 0.708, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.628,
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: 1854.4431, usercpu_time_millis: 0.564, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7544, kappa: 0.4946, kb_relative_information_score: 15608.1867, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, scimark_benchmark: 1853.9121, usercpu_time_millis: 1.451, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.376,
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: 1856.1949, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.492,
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: 1949.4888, usercpu_time_millis: 0.592, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.742, kappa: 0.4713, kb_relative_information_score: 9977.8265, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7633, predictive_accuracy: 0.7526, prior_entropy: 0.9835, recall: 0.7526, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8664, scimark_benchmark: 1813.3086, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15295.8494, mean_absolute_error: 0.3381, 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: 0.692, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8219, scimark_benchmark: 1853.9121, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.231,
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: 1833.6828, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.5847, kappa: 0.2131, kb_relative_information_score: 3726.4544, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7425, predictive_accuracy: 0.6542, prior_entropy: 0.9835, recall: 0.6542, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9446, scimark_benchmark: 1836.0382, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.578,
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: 1840.9506, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7528, kappa: 0.4913, kb_relative_information_score: 15014.9243, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8228, scimark_benchmark: 1815.9084, usercpu_time_millis: 1.275, usercpu_time_millis_testing: 0.091, 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: 1843.6262, usercpu_time_millis: 0.57, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.498,
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: 1785.8931, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.547,
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: 1847.8629, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.562,
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: 1889.5497, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7454, kappa: 0.477, kb_relative_information_score: 11958.7932, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7593, predictive_accuracy: 0.7536, prior_entropy: 0.9835, recall: 0.7536, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8439, scimark_benchmark: 1789.0107, usercpu_time_millis: 1.075, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.995,
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: 1802.717, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.542,
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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: 1937.6156, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.486,
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: 1848.388, usercpu_time_millis: 0.611, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.754, kappa: 0.4938, kb_relative_information_score: 15371.8793, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8216, scimark_benchmark: 1853.454, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.334,
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: 1825.5516, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7499, kappa: 0.4857, kb_relative_information_score: 13788.5944, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7599, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.829, scimark_benchmark: 1850.4154, usercpu_time_millis: 1.242, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7786, kappa: 0.5443, kb_relative_information_score: 18115.5853, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7823, predictive_accuracy: 0.7818, prior_entropy: 0.9835, recall: 0.7818, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7912, scimark_benchmark: 1732.7672, usercpu_time_millis: 5159.881, usercpu_time_millis_testing: 27.855, usercpu_time_millis_training: 5132.026,
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: 1851.827, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.528,
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: 1804.6406, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7511, kappa: 0.4883, kb_relative_information_score: 13268.8379, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8336, scimark_benchmark: 1851.4874, usercpu_time_millis: 0.907, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7431, kappa: 0.4728, kb_relative_information_score: 11058.3559, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7601, predictive_accuracy: 0.7524, prior_entropy: 0.9835, recall: 0.7524, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8528, scimark_benchmark: 1843.8187, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7433, kappa: 0.4733, kb_relative_information_score: 10916.7478, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7528, prior_entropy: 0.9835, recall: 0.7528, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8557, scimark_benchmark: 1819.7342, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.735,
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: 1845.2509, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.528,
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: 1846.3057, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.524,
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: 1792.0637, usercpu_time_millis: 0.617, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7531, kappa: 0.4921, kb_relative_information_score: 14667.9065, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8247, scimark_benchmark: 1848.7762, usercpu_time_millis: 1.024, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7511, kappa: 0.488, kb_relative_information_score: 14255.8627, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8262, scimark_benchmark: 1834.256, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7545, kappa: 0.4948, kb_relative_information_score: 15593.5117, mean_absolute_error: 0.3346, 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: 0.6847, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8212, scimark_benchmark: 1789.8816, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.269,
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: 1956.5476, usercpu_time_millis: 0.568, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.495,
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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: 1842.598, usercpu_time_millis: 0.593, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7521, kappa: 0.4899, kb_relative_information_score: 14600.6713, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8245, scimark_benchmark: 1842.598, usercpu_time_millis: 1.173, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.093,
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: 1826.8654, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7807, kappa: 0.5486, kb_relative_information_score: 18291.1469, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7841, predictive_accuracy: 0.7837, prior_entropy: 0.9835, recall: 0.7837, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7877, scimark_benchmark: 1839.5885, usercpu_time_millis: 5061.393, usercpu_time_millis_testing: 24.202, usercpu_time_millis_training: 5037.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.6704, kappa: 0.3474, kb_relative_information_score: 5242.6943, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7576, predictive_accuracy: 0.7059, prior_entropy: 0.9835, recall: 0.7059, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9232, scimark_benchmark: 1850.2875, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.587,
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: 1853.454, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7525, kappa: 0.4907, kb_relative_information_score: 15042.6346, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8227, scimark_benchmark: 1732.8391, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.509,
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: 1730.591, usercpu_time_millis: 0.787, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.695,
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: 1736.5552, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.533,
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: 1734.3333, usercpu_time_millis: 0.759, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.5731, kappa: 0.1844, kb_relative_information_score: 4867.0917, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6943, predictive_accuracy: 0.6402, prior_entropy: 0.9835, recall: 0.6402, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9424, scimark_benchmark: 1839.6024, usercpu_time_millis: 4980.53, usercpu_time_millis_testing: 39.5, usercpu_time_millis_training: 4941.03,

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

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From your own software

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

OpenML APIs