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: 1262.8916, usercpu_time_millis: 1.439, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7521, kappa: 0.49, kb_relative_information_score: 14526.3599, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7611, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.825, scimark_benchmark: 1256.9865, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7515, kappa: 0.4888, kb_relative_information_score: 14638.4575, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8243, scimark_benchmark: 1259.3274, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.539,
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: 1257.8701, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.236,
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: 1269.9402, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.329,
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: 1270.5798, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.053,
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: 1268.1981, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 1.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7436, kappa: 0.474, kb_relative_information_score: 10853.6531, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7531, prior_entropy: 0.9835, recall: 0.7531, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8567, scimark_benchmark: 1279.751, usercpu_time_millis: 1.964, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.4859, kappa: 0.0798, kb_relative_information_score: 2369.5086, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7408, predictive_accuracy: 0.6047, prior_entropy: 0.9835, recall: 0.6047, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9644, scimark_benchmark: 1271.42, usercpu_time_millis: 1.769, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.672,
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: 1248.3055, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5823, kappa: 0.2245, kb_relative_information_score: 7024.9396, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6522, predictive_accuracy: 0.5921, prior_entropy: 0.9835, recall: 0.5921, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1279.1111, usercpu_time_millis: 847.293, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 847.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7551, kappa: 0.4959, kb_relative_information_score: 15638.9356, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1242.5555, usercpu_time_millis: 2.707, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 2.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.573, kappa: 0.1925, kb_relative_information_score: 3452.2547, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7247, predictive_accuracy: 0.6454, prior_entropy: 0.9835, recall: 0.6454, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9486, scimark_benchmark: 1281.1056, usercpu_time_millis: 1.466, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.372,
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: 1250.3863, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.16,
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: 1247.8938, usercpu_time_millis: 2.406, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 1.911,
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: 1271.2042, usercpu_time_millis: 1.743, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.468,
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: 1270.3127, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.42,
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: 1237.0631, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1.205,
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: 1269.048, usercpu_time_millis: 1.775, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7527, kappa: 0.4913, kb_relative_information_score: 14589.6727, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8249, scimark_benchmark: 1238.8463, usercpu_time_millis: 2.268, usercpu_time_millis_testing: -0.039, usercpu_time_millis_training: 2.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6949, kappa: 0.3817, kb_relative_information_score: 12317.4421, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6997, predictive_accuracy: 0.6933, prior_entropy: 0.9835, recall: 0.6933, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1250.2377, usercpu_time_millis: 328.642, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 328.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7259, kappa: 0.4376, kb_relative_information_score: 14060.8707, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7255, predictive_accuracy: 0.7267, prior_entropy: 0.9835, recall: 0.7267, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8412, scimark_benchmark: 1241.562, usercpu_time_millis: 166.781, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 166.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1251.0947, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7499, kappa: 0.4859, kb_relative_information_score: 12985.1877, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8349, scimark_benchmark: 1250.6503, usercpu_time_millis: 2.152, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 2.033,
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: 1227.4784, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.299,
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: 1219.9301, usercpu_time_millis: 1.569, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.5736, kappa: 0.1956, kb_relative_information_score: 3536.2497, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7348, predictive_accuracy: 0.6472, prior_entropy: 0.9835, recall: 0.6472, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9474, scimark_benchmark: 1247.7494, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.535,
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: 1224.3824, usercpu_time_millis: 1.555, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.287,
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: 1234.8588, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7163, kappa: 0.4248, kb_relative_information_score: 7184.8744, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7599, predictive_accuracy: 0.7352, prior_entropy: 0.9835, recall: 0.7352, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8979, scimark_benchmark: 1266.3711, usercpu_time_millis: 3.631, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 3.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.7386, kappa: 0.4645, kb_relative_information_score: 9871.7334, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7496, prior_entropy: 0.9835, recall: 0.7496, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8666, scimark_benchmark: 1272.8625, usercpu_time_millis: 3.914, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 3.584,
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: 1269.4183, usercpu_time_millis: 2.508, usercpu_time_millis_testing: 0.601, usercpu_time_millis_training: 1.907,
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: 1268.4909, usercpu_time_millis: 1.244, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7445, kappa: 0.4757, kb_relative_information_score: 11037.8397, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7538, prior_entropy: 0.9835, recall: 0.7538, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8549, scimark_benchmark: 1228.8351, usercpu_time_millis: 1.963, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7259, kappa: 0.4423, kb_relative_information_score: 7893.4801, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7421, prior_entropy: 0.9835, recall: 0.7421, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8891, scimark_benchmark: 1233.1931, usercpu_time_millis: 1.845, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.739,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7382, kappa: 0.4654, kb_relative_information_score: 8875.8454, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7514, prior_entropy: 0.9835, recall: 0.7514, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8776, scimark_benchmark: 1276.9792, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.549,
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: 1240.4856, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7332, kappa: 0.4552, kb_relative_information_score: 8716.3323, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7467, prior_entropy: 0.9835, recall: 0.7467, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8798, scimark_benchmark: 1250.2991, usercpu_time_millis: 2.101, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.7362, kappa: 0.4601, kb_relative_information_score: 9411.0463, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.748, prior_entropy: 0.9835, recall: 0.748, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8715, scimark_benchmark: 1246.393, usercpu_time_millis: 2.996, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 2.774,
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: 1253.8279, usercpu_time_millis: 1.463, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.6945, kappa: 0.381, kb_relative_information_score: 12349.0678, mean_absolute_error: 0.3651, 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: 0.7473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8621, scimark_benchmark: 1252.6246, usercpu_time_millis: 321.239, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 321.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7421, kappa: 0.4717, kb_relative_information_score: 9929.8492, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7639, predictive_accuracy: 0.7529, prior_entropy: 0.9835, recall: 0.7529, relative_absolute_error: 0.8151, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8668, scimark_benchmark: 1242.8146, usercpu_time_millis: 1.436, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.34,
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: 1257.2729, usercpu_time_millis: 1.344, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.4204, kb_relative_information_score: 108.8269, mean_absolute_error: 0.4878, 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: 0.9984, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9984, scimark_benchmark: 1258.7632, usercpu_time_millis: 1.111, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 0.855,
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: 1259.6133, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1274.529, usercpu_time_millis: 1.594, usercpu_time_millis_testing: 0.283, 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: 1246.9007, usercpu_time_millis: 1.637, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 1.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.4977, kappa: 0.0934, kb_relative_information_score: 2495.7111, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7286, predictive_accuracy: 0.6094, prior_entropy: 0.9835, recall: 0.6094, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9624, scimark_benchmark: 1249.4937, usercpu_time_millis: 1.663, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.6662, kappa: 0.3415, kb_relative_information_score: 5123.1397, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.704, prior_entropy: 0.9835, recall: 0.704, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9248, scimark_benchmark: 1261.4904, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.67,
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: 1248.5379, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 1.469,
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: 1236.1138, usercpu_time_millis: 1.806, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 1.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7505, kappa: 0.4871, kb_relative_information_score: 13241.9476, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7576, prior_entropy: 0.9835, recall: 0.7576, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8331, scimark_benchmark: 1255.8759, usercpu_time_millis: 2.052, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6946, kappa: 0.3811, kb_relative_information_score: 12293.1883, mean_absolute_error: 0.3658, 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: 0.7487, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1269.7641, usercpu_time_millis: 324.819, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 324.686,
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: 1254.6769, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.803,
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: 1261.3116, usercpu_time_millis: 1.402, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7524, kappa: 0.4907, kb_relative_information_score: 14143.9017, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7623, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.72, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.828, scimark_benchmark: 1249.1221, usercpu_time_millis: 2.097, usercpu_time_millis_testing: 0.11, 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: 1238.59, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7369, kappa: 0.4636, kb_relative_information_score: 8473.3555, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7511, prior_entropy: 0.9835, recall: 0.7511, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8821, scimark_benchmark: 1227.0387, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.768,
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: 1243.3815, usercpu_time_millis: 1.414, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.741, kappa: 0.4692, kb_relative_information_score: 10301.7834, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7514, prior_entropy: 0.9835, recall: 0.7514, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8613, scimark_benchmark: 1248.8884, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.5716, kappa: 0.1947, kb_relative_information_score: 3566.1149, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7433, predictive_accuracy: 0.6474, prior_entropy: 0.9835, recall: 0.6474, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9469, scimark_benchmark: 1230.2567, usercpu_time_millis: 1.86, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7492, kappa: 0.4845, kb_relative_information_score: 12709.0567, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7567, prior_entropy: 0.9835, recall: 0.7567, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8372, scimark_benchmark: 1235.6569, usercpu_time_millis: 2.196, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7459, kappa: 0.4778, kb_relative_information_score: 12653.8832, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7579, predictive_accuracy: 0.7534, prior_entropy: 0.9835, recall: 0.7534, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8379, scimark_benchmark: 1265.4779, usercpu_time_millis: 2.248, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.4262, kappa: 0.0069, kb_relative_information_score: 926.9471, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7565, predictive_accuracy: 0.578, prior_entropy: 0.9835, recall: 0.578, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9858, scimark_benchmark: 1266.3782, usercpu_time_millis: 1.851, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.5824, kappa: 0.2248, kb_relative_information_score: 7039.6944, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6524, predictive_accuracy: 0.5923, prior_entropy: 0.9835, recall: 0.5923, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.922, scimark_benchmark: 1261.5747, usercpu_time_millis: 851.672, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 851.537,

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