Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7309, kappa: 0.451, kb_relative_information_score: 8534.3028, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7615, predictive_accuracy: 0.745, prior_entropy: 0.9835, recall: 0.745, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8817, scimark_benchmark: 1277.4277, usercpu_time_millis: 2.832, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 2.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.6972, kappa: 0.3937, kb_relative_information_score: 6079.3051, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9119, scimark_benchmark: 1311.6567, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6352, kappa: 0.2863, kb_relative_information_score: 4438.3179, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7365, predictive_accuracy: 0.6809, prior_entropy: 0.9835, recall: 0.6809, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9347, scimark_benchmark: 1309.4226, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.373,
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: 1310.996, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 0.497,
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: 1300.5179, usercpu_time_millis: 1.554, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7549, kappa: 0.4956, kb_relative_information_score: 15714.3317, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.76, prior_entropy: 0.9835, recall: 0.76, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8208, scimark_benchmark: 1298.3869, usercpu_time_millis: 3.236, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 3.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8253, f_measure: 0.7532, kappa: 0.4922, kb_relative_information_score: 15003.5666, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 1277.8633, usercpu_time_millis: 2.483, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 2.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6987, kappa: 0.3962, kb_relative_information_score: 6130.9708, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7253, prior_entropy: 0.9835, recall: 0.7253, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9112, scimark_benchmark: 1296.6852, usercpu_time_millis: 2.143, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 2.035,
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: 1298.8075, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 1.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7455, kappa: 0.4776, kb_relative_information_score: 11540.4772, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7543, prior_entropy: 0.9835, recall: 0.7543, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8482, scimark_benchmark: 1295.9658, usercpu_time_millis: 1.827, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.733,
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: 1286.4954, usercpu_time_millis: 1.427, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7532, kappa: 0.4923, kb_relative_information_score: 14904.4077, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7616, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8236, scimark_benchmark: 1282.7962, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 2.111,
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: 1275.7812, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7545, kappa: 0.4947, kb_relative_information_score: 15531.4741, 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: 0.6861, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.821, scimark_benchmark: 1303.4671, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 2.128,
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: 1302.3864, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 0.816,
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: 1290.4965, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7529, kappa: 0.4915, kb_relative_information_score: 15148.3291, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8223, scimark_benchmark: 1296.4768, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 2.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6864, kappa: 0.374, kb_relative_information_score: 5748.1747, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.9835, recall: 0.7161, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9163, scimark_benchmark: 1297.2669, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.6565, kappa: 0.3247, kb_relative_information_score: 4904.1879, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7559, predictive_accuracy: 0.6971, prior_entropy: 0.9835, recall: 0.6971, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9279, scimark_benchmark: 1305.9316, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.924,
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: 1302.4298, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1279.6295, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.72, kappa: 0.4337, kb_relative_information_score: 7091.4482, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7699, predictive_accuracy: 0.74, prior_entropy: 0.9835, recall: 0.74, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8987, scimark_benchmark: 1310.6444, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.605,
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: 1297.497, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.4977, kappa: 0.0949, kb_relative_information_score: 2543.7286, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7414, predictive_accuracy: 0.6103, prior_entropy: 0.9835, recall: 0.6103, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9618, scimark_benchmark: 1309.3716, usercpu_time_millis: 1.896, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.779,
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: 1304.5242, usercpu_time_millis: 1.991, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 1.525,
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: 1303.9282, usercpu_time_millis: 1.988, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6949, kappa: 0.3816, kb_relative_information_score: 12302.8932, mean_absolute_error: 0.3657, 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: 0.7484, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8622, scimark_benchmark: 1314.6722, usercpu_time_millis: 311.628, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 311.52,
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: 1290.2776, usercpu_time_millis: 1.893, usercpu_time_millis_testing: -0.044, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7555, kappa: 0.4967, kb_relative_information_score: 15719.2629, 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: 1316.9132, usercpu_time_millis: 1.347, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.26,
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: 1314.6691, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 0.826,
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: 1285.3545, usercpu_time_millis: 1.681, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 1.271,
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: 1308.3398, 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: 1278.0382, usercpu_time_millis: 1.82, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7489, kappa: 0.4841, kb_relative_information_score: 12340.2053, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8425, scimark_benchmark: 1299.4378, usercpu_time_millis: 2.983, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7522, kappa: 0.4903, kb_relative_information_score: 13933.3075, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7625, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8288, scimark_benchmark: 1281.4865, usercpu_time_millis: 2.385, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 2.263,
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: 1286.7051, usercpu_time_millis: 1.529, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 1.214,
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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: 1274.4259, usercpu_time_millis: 1.471, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.143,
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: 1309.6208, usercpu_time_millis: 2.07, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 1.697,
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: 1287.9664, usercpu_time_millis: 2.295, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 1.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.6885, kappa: 0.3794, kb_relative_information_score: 5763.754, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7669, predictive_accuracy: 0.719, prior_entropy: 0.9835, recall: 0.719, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9161, scimark_benchmark: 1306.1159, usercpu_time_millis: 2.319, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 2.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7197, kappa: 0.4313, kb_relative_information_score: 7409.5454, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7379, prior_entropy: 0.9835, recall: 0.7379, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.895, scimark_benchmark: 1305.7115, usercpu_time_millis: 2.334, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 2.234,
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: 1297.0541, usercpu_time_millis: 2.362, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 1.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6236, kappa: 0.2743, kb_relative_information_score: 8737.2699, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6642, predictive_accuracy: 0.6256, prior_entropy: 0.9835, recall: 0.6256, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9027, scimark_benchmark: 1307.1817, usercpu_time_millis: 666.494, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 666.374,
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: 1300.7089, usercpu_time_millis: 1.539, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 1.201,
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: 1300.7341, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7465, kappa: 0.4787, kb_relative_information_score: 13035.0782, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7576, predictive_accuracy: 0.7536, prior_entropy: 0.9835, recall: 0.7536, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8349, scimark_benchmark: 1281.0437, usercpu_time_millis: 2.311, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 2.213,
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: 1307.2332, usercpu_time_millis: 1.667, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7358, kappa: 0.4611, kb_relative_information_score: 8548.061, mean_absolute_error: 0.4128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.768, predictive_accuracy: 0.7499, prior_entropy: 0.9835, recall: 0.7499, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8812, scimark_benchmark: 1292.746, usercpu_time_millis: 1.673, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 1.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.4204, kb_relative_information_score: 83.2248, mean_absolute_error: 0.488, 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: 0.9988, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9988, scimark_benchmark: 1275.7667, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 1.732,
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: 1277.4721, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6174, kappa: 0.2634, kb_relative_information_score: 4222.1372, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7526, predictive_accuracy: 0.6737, prior_entropy: 0.9835, recall: 0.6737, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375, scimark_benchmark: 1308.3208, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7462, kappa: 0.4795, kb_relative_information_score: 10523.1752, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7558, prior_entropy: 0.9835, recall: 0.7558, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8612, scimark_benchmark: 1292.6243, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.743,
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: 1284.6212, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 2.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.7535, kappa: 0.4928, kb_relative_information_score: 15321.31, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7606, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8216, scimark_benchmark: 1277.3211, usercpu_time_millis: 2.055, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 1.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7441, kappa: 0.4745, kb_relative_information_score: 11558.3717, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7592, predictive_accuracy: 0.7527, prior_entropy: 0.9835, recall: 0.7527, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8477, scimark_benchmark: 1287.3963, usercpu_time_millis: 2.006, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 1.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7544, kappa: 0.4946, kb_relative_information_score: 15539.8199, mean_absolute_error: 0.3352, 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: 0.686, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8213, scimark_benchmark: 1290.9157, usercpu_time_millis: 2.433, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 2.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7032, kappa: 0.4036, kb_relative_information_score: 6356.6392, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.728, prior_entropy: 0.9835, recall: 0.728, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9082, scimark_benchmark: 1301.1801, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.121,
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: 1304.634, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7166, kappa: 0.4256, kb_relative_information_score: 7180.9893, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.761, predictive_accuracy: 0.7357, prior_entropy: 0.9835, recall: 0.7357, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8979, scimark_benchmark: 1300.5404, usercpu_time_millis: 2.638, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 2.499,
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: 1277.6883, usercpu_time_millis: 1.819, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1301.988, usercpu_time_millis: 1.994, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.6825, kappa: 0.3695, kb_relative_information_score: 5541.1306, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7673, predictive_accuracy: 0.7152, prior_entropy: 0.9835, recall: 0.7152, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9193, scimark_benchmark: 1304.6019, usercpu_time_millis: 1.936, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.836,
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: 1311.5461, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.7521, kappa: 0.4901, kb_relative_information_score: 14152.256, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8282, scimark_benchmark: 1309.5882, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.167,

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