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: 0.4999, 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: 1271.6703, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.11,
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: 1235.6598, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 0.953,
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: 1260.6159, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.005,
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: 1255.4255, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.6803, kappa: 0.3623, kb_relative_information_score: 5528.0881, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7535, predictive_accuracy: 0.711, prior_entropy: 0.9835, recall: 0.711, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9197, scimark_benchmark: 1256.0788, usercpu_time_millis: 1.809, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.679,
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: 1241.4564, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 1.097,
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: 1270.6899, usercpu_time_millis: 1.611, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.306,
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: 1273.0495, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.4281, kappa: 0.0092, kb_relative_information_score: 846.9044, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7515, predictive_accuracy: 0.5789, prior_entropy: 0.9835, recall: 0.5789, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9874, scimark_benchmark: 1266.7856, usercpu_time_millis: 2.162, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.987,
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: 1266.397, usercpu_time_millis: 2.034, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.6054, kappa: 0.2454, kb_relative_information_score: 4060.1927, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.752, predictive_accuracy: 0.6669, prior_entropy: 0.9835, recall: 0.6669, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9399, scimark_benchmark: 1264.3701, usercpu_time_millis: 2.026, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.4242, kappa: 0.0045, kb_relative_information_score: 463.2995, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7563, predictive_accuracy: 0.5771, prior_entropy: 0.9835, recall: 0.5771, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9931, scimark_benchmark: 1274.5827, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.159,
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: 1261.9767, usercpu_time_millis: 1.76, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 1.311,
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: 1260.977, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7461, kappa: 0.4785, kb_relative_information_score: 11914.4012, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7608, predictive_accuracy: 0.7545, prior_entropy: 0.9835, recall: 0.7545, relative_absolute_error: 0.771, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8443, scimark_benchmark: 1250.5217, usercpu_time_millis: 2.856, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 2.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7478, kappa: 0.482, kb_relative_information_score: 12255.6131, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7559, prior_entropy: 0.9835, recall: 0.7559, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8417, scimark_benchmark: 1267.7047, usercpu_time_millis: 2.042, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.927,
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: 1263.9709, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 1.344,
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: 1255.8498, usercpu_time_millis: 1.508, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.2,
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: 1262.9331, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 1.09,
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: 1270.7079, usercpu_time_millis: 1.584, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.237,
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: 1276.7253, usercpu_time_millis: 1.354, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.005,
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: 1266.718, usercpu_time_millis: 2.103, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 1.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7509, kappa: 0.4879, kb_relative_information_score: 13143.8334, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7581, prior_entropy: 0.9835, recall: 0.7581, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8352, scimark_benchmark: 1261.1298, usercpu_time_millis: 2.626, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 2.481,
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: 1260.5438, usercpu_time_millis: 1.686, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.356,
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: 1252.2406, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 1.794,
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: 1241.393, usercpu_time_millis: 2.221, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 1.684,
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: 1243.9074, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 1.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.753, kappa: 0.4918, kb_relative_information_score: 14872.5824, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8236, scimark_benchmark: 1243.9773, usercpu_time_millis: 2.847, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.732,
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: 1253.9348, usercpu_time_millis: 1.392, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.084,
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: 1276.0383, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 0.62,
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: 1259.8743, usercpu_time_millis: 1.269, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 0.969,
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: 1265.9294, usercpu_time_millis: 1.348, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7507, kappa: 0.4873, kb_relative_information_score: 13943.6027, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8281, scimark_benchmark: 1273.2424, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7544, kappa: 0.4945, kb_relative_information_score: 15560.3981, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7595, prior_entropy: 0.9835, recall: 0.7595, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8211, scimark_benchmark: 1268.4237, usercpu_time_millis: 2.729, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 2.632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7528, kappa: 0.4914, kb_relative_information_score: 14796.2192, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7587, prior_entropy: 0.9835, recall: 0.7587, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8239, scimark_benchmark: 1256.118, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.062,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7504, kappa: 0.487, kb_relative_information_score: 12941.7501, mean_absolute_error: 0.3655, 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: 0.7481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8366, scimark_benchmark: 1244.8993, usercpu_time_millis: 1.622, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.5082, kappa: 0.1098, kb_relative_information_score: 2721.0911, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.751, predictive_accuracy: 0.6161, prior_entropy: 0.9835, recall: 0.6161, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9596, scimark_benchmark: 1228.7429, usercpu_time_millis: 1.556, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.6958, kappa: 0.3887, kb_relative_information_score: 6148.6806, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7557, predictive_accuracy: 0.7212, prior_entropy: 0.9835, recall: 0.7212, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9113, scimark_benchmark: 1235.965, usercpu_time_millis: 1.73, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.611,
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: 1233.2829, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7196, kappa: 0.4274, kb_relative_information_score: 8215.0239, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7468, predictive_accuracy: 0.7337, prior_entropy: 0.9835, recall: 0.7337, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8856, scimark_benchmark: 1229.0491, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 1.781,
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: 1240.8755, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7489, kappa: 0.484, kb_relative_information_score: 12742.5929, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.837, scimark_benchmark: 1235.9124, usercpu_time_millis: 2.852, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.716,
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: 1275.2216, usercpu_time_millis: 1.406, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.117,
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: 1229.7378, usercpu_time_millis: 1.316, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7552, kappa: 0.4962, kb_relative_information_score: 15669.6389, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8207, scimark_benchmark: 1274.3635, usercpu_time_millis: 2.837, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.4692, kappa: 0.0598, kb_relative_information_score: 2061.3568, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7539, predictive_accuracy: 0.5976, prior_entropy: 0.9835, recall: 0.5976, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9696, scimark_benchmark: 1230.3743, usercpu_time_millis: 2.306, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.168,
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: 1260.0659, usercpu_time_millis: 2.113, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.7488, kappa: 0.4834, kb_relative_information_score: 13530.7944, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7591, predictive_accuracy: 0.7555, prior_entropy: 0.9835, recall: 0.7555, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8309, scimark_benchmark: 1252.1711, usercpu_time_millis: 3.484, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 3.382,
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: 1266.1375, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.861,
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: 1262.5354, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 1.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.4204, kb_relative_information_score: 26.1512, mean_absolute_error: 0.4884, 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: 0.9996, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9996, scimark_benchmark: 1263.5639, usercpu_time_millis: 1.391, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7086, kappa: 0.4135, kb_relative_information_score: 6554.8845, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7676, predictive_accuracy: 0.732, prior_entropy: 0.9835, recall: 0.732, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9056, scimark_benchmark: 1261.0133, usercpu_time_millis: 1.506, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7534, kappa: 0.4926, kb_relative_information_score: 15233.31, mean_absolute_error: 0.3389, 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: 0.6935, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8221, scimark_benchmark: 1268.3876, usercpu_time_millis: 2.142, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.042,
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: 1271.5917, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.802,
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: 1266.9339, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7253, kappa: 0.4411, kb_relative_information_score: 7898.8576, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7415, prior_entropy: 0.9835, recall: 0.7415, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8891, scimark_benchmark: 1271.1548, usercpu_time_millis: 1.688, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.553,
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: 1252.3306, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7491, kappa: 0.4845, kb_relative_information_score: 12434.0869, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7569, prior_entropy: 0.9835, recall: 0.7569, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8417, scimark_benchmark: 1262.7269, usercpu_time_millis: 2.18, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 2.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7468, kappa: 0.48, kb_relative_information_score: 11857.4463, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7552, prior_entropy: 0.9835, recall: 0.7552, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8461, scimark_benchmark: 1256.1119, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.993,
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: 1234.1425, usercpu_time_millis: 2.118, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.708,
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: 1268.9479, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.203,
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: 1257.2748, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7514, kappa: 0.4887, kb_relative_information_score: 14036.2392, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7579, prior_entropy: 0.9835, recall: 0.7579, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8276, scimark_benchmark: 1237.8517, usercpu_time_millis: 2.949, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 2.747,
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: 1261.4036, usercpu_time_millis: 2.277, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6772, kappa: 0.3601, kb_relative_information_score: 5415.7685, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7644, predictive_accuracy: 0.7114, prior_entropy: 0.9835, recall: 0.7114, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9209, scimark_benchmark: 1248.8119, usercpu_time_millis: 2.692, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 2.537,

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