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: 1268.5675, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6948, kappa: 0.3815, kb_relative_information_score: 12300.7247, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6996, predictive_accuracy: 0.6932, prior_entropy: 0.9835, recall: 0.6932, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1286.529, usercpu_time_millis: 342.115, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 341.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.4204, kb_relative_information_score: 64.298, mean_absolute_error: 0.4881, 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: 0.999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.999, scimark_benchmark: 1272.023, usercpu_time_millis: 1.206, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.956,
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: 1255.2919, usercpu_time_millis: 1.168, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.6426, kappa: 0.3029, kb_relative_information_score: 4621.3007, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.6889, prior_entropy: 0.9835, recall: 0.6889, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9318, scimark_benchmark: 1266.4739, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 1.701,
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: 1270.4061, usercpu_time_millis: 1.385, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7547, kappa: 0.4951, kb_relative_information_score: 15616.4545, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.684, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1212.3867, usercpu_time_millis: 2.876, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.761,
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: 1228.8508, usercpu_time_millis: 1.697, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.4532, kappa: 0.0398, kb_relative_information_score: 1841.5238, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7527, predictive_accuracy: 0.5901, prior_entropy: 0.9835, recall: 0.5901, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9723, scimark_benchmark: 1230.709, usercpu_time_millis: 2.398, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 2.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.4307, kappa: 0.0124, kb_relative_information_score: 1049.0071, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7512, predictive_accuracy: 0.58, prior_entropy: 0.9835, recall: 0.58, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9844, scimark_benchmark: 1268.349, usercpu_time_millis: 2.301, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 2.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7501, kappa: 0.486, kb_relative_information_score: 13662.2062, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8298, scimark_benchmark: 1231.6075, usercpu_time_millis: 2.743, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.542,
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: 1235.9544, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 1.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.7533, kappa: 0.4923, kb_relative_information_score: 15091.006, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8227, scimark_benchmark: 1278.3496, usercpu_time_millis: 1.797, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7545, kappa: 0.4947, kb_relative_information_score: 15528.3913, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, scimark_benchmark: 1248.6596, usercpu_time_millis: 2.412, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1267.588, usercpu_time_millis: 1.422, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.316, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1264.5753, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7405, kappa: 0.4691, kb_relative_information_score: 9424.5382, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7658, predictive_accuracy: 0.7524, prior_entropy: 0.9835, recall: 0.7524, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.8718, scimark_benchmark: 1256.2437, usercpu_time_millis: 1.459, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.4249, kappa: 0.0054, kb_relative_information_score: 582.8194, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7564, predictive_accuracy: 0.5775, prior_entropy: 0.9835, recall: 0.5775, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9913, scimark_benchmark: 1226.4887, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 1.41,
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: 1221.3097, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.151,
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: 1238.4727, usercpu_time_millis: 1.257, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.114,
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: 1233.0571, usercpu_time_millis: 1.426, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7254, kappa: 0.4367, kb_relative_information_score: 13814.2074, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.725, predictive_accuracy: 0.7263, prior_entropy: 0.9835, recall: 0.7263, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8421, scimark_benchmark: 1272.4182, usercpu_time_millis: 182.058, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 181.862,
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: 1261.7212, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.5343, kappa: 0.1436, kb_relative_information_score: 3099.9934, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7451, predictive_accuracy: 0.6284, prior_entropy: 0.9835, recall: 0.6284, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9537, scimark_benchmark: 1264.7408, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.638,
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: 1261.9585, usercpu_time_millis: 1.592, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7524, kappa: 0.4906, kb_relative_information_score: 14651.3456, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8244, scimark_benchmark: 1248.8232, usercpu_time_millis: 2.845, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 2.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15361.9051, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1239.329, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 2.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7526, kappa: 0.4909, kb_relative_information_score: 15067.9724, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.7582, prior_entropy: 0.9835, recall: 0.7582, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1256.327, usercpu_time_millis: 4.079, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 3.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1258.2591, usercpu_time_millis: 2.134, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1249.1169, usercpu_time_millis: 1.595, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.6428, kappa: 0.2998, kb_relative_information_score: 4601.7765, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7431, predictive_accuracy: 0.6866, prior_entropy: 0.9835, recall: 0.6866, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9325, scimark_benchmark: 1256.1731, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6948, kappa: 0.3816, kb_relative_information_score: 12309.233, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6996, predictive_accuracy: 0.6933, prior_entropy: 0.9835, recall: 0.6933, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1243.8562, usercpu_time_millis: 327.585, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 327.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.4229, kappa: 0.0031, kb_relative_information_score: 302.819, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7561, predictive_accuracy: 0.5766, prior_entropy: 0.9835, recall: 0.5766, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9955, scimark_benchmark: 1248.1853, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.5875, kappa: 0.2181, kb_relative_information_score: 3789.9702, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7468, predictive_accuracy: 0.6563, prior_entropy: 0.9835, recall: 0.6563, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9437, scimark_benchmark: 1245.0686, usercpu_time_millis: 1.783, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.666,
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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: 1264.8305, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7541, kappa: 0.494, kb_relative_information_score: 15478.06, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7594, prior_entropy: 0.9835, recall: 0.7594, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8214, scimark_benchmark: 1236.9301, usercpu_time_millis: 2.864, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 2.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7162, kappa: 0.4247, kb_relative_information_score: 7152.8994, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7605, predictive_accuracy: 0.7352, prior_entropy: 0.9835, recall: 0.7352, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8983, scimark_benchmark: 1254.2365, usercpu_time_millis: 2.19, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 2.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.6069, kappa: 0.2468, kb_relative_information_score: 4057.3804, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7487, predictive_accuracy: 0.6672, prior_entropy: 0.9835, recall: 0.6672, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9398, scimark_benchmark: 1243.8573, usercpu_time_millis: 2.497, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.376,
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: 1248.5718, usercpu_time_millis: 1.589, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7158, kappa: 0.421, kb_relative_information_score: 7671.4886, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7478, predictive_accuracy: 0.7317, prior_entropy: 0.9835, recall: 0.7317, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8922, scimark_benchmark: 1246.7914, usercpu_time_millis: 2.722, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 2.706,
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: 1283.9291, usercpu_time_millis: 1.346, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7097, kappa: 0.4139, kb_relative_information_score: 6745.1697, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7314, prior_entropy: 0.9835, recall: 0.7314, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9033, scimark_benchmark: 1275.048, usercpu_time_millis: 2.164, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7555, kappa: 0.4967, kb_relative_information_score: 15718.7534, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8206, scimark_benchmark: 1249.2831, usercpu_time_millis: 3.378, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 3.238,
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: 1235.3895, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.821,
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: 1240.6073, usercpu_time_millis: 1.723, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 1.192,
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: 1266.5559, usercpu_time_millis: 1.937, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 1.471,
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: 1252.5048, usercpu_time_millis: 1.932, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 1.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7409, kappa: 0.4687, kb_relative_information_score: 10414.9683, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7603, predictive_accuracy: 0.751, prior_entropy: 0.9835, recall: 0.751, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8599, scimark_benchmark: 1268.1806, usercpu_time_millis: 3.23, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 3.069,
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: 1243.3394, usercpu_time_millis: 1.741, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 1.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7167, kappa: 0.4273, kb_relative_information_score: 6986.6796, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9, scimark_benchmark: 1238.3883, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.674,
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: 1261.8286, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.478,
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: 1254.4646, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7501, kappa: 0.4863, kb_relative_information_score: 13048.2556, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.762, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8346, scimark_benchmark: 1258.6826, usercpu_time_millis: 1.875, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7296, kappa: 0.4486, kb_relative_information_score: 8325.1757, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7442, prior_entropy: 0.9835, recall: 0.7442, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8842, scimark_benchmark: 1249.0942, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7538, kappa: 0.4933, kb_relative_information_score: 15427.538, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1244.9888, usercpu_time_millis: 2.2, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 2.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7396, kappa: 0.4663, kb_relative_information_score: 10039.8602, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7502, prior_entropy: 0.9835, recall: 0.7502, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8644, scimark_benchmark: 1245.3073, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.5697, kappa: 0.1913, kb_relative_information_score: 3517.536, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.74, predictive_accuracy: 0.6459, prior_entropy: 0.9835, recall: 0.6459, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9476, scimark_benchmark: 1263.2533, usercpu_time_millis: 1.496, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1245.349, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 1.012,
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: 1266.7817, usercpu_time_millis: 2.227, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 1.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7292, kappa: 0.4467, kb_relative_information_score: 8601.1572, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.756, predictive_accuracy: 0.7424, prior_entropy: 0.9835, recall: 0.7424, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8809, scimark_benchmark: 1253.6544, usercpu_time_millis: 1.945, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1267.4538, usercpu_time_millis: 2.259, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 1.762,
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: 1275.0895, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7539, kappa: 0.4935, kb_relative_information_score: 15349.9803, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8219, scimark_benchmark: 1261.7549, usercpu_time_millis: 3.08, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 2.944,

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