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: 0.8161, f_measure: 0.75, kappa: 0.4862, kb_relative_information_score: 12817.8062, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7575, prior_entropy: 0.9835, recall: 0.7575, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8379, scimark_benchmark: 1312.4905, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7523, kappa: 0.4905, kb_relative_information_score: 14617.5155, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7613, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8246, scimark_benchmark: 1307.7562, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.751, kappa: 0.488, kb_relative_information_score: 13532.0831, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7618, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8309, scimark_benchmark: 1311.0465, usercpu_time_millis: 2.148, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 2.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.6435, kappa: 0.2996, kb_relative_information_score: 4588.4694, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7382, predictive_accuracy: 0.686, prior_entropy: 0.9835, recall: 0.686, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9327, scimark_benchmark: 1311.9579, usercpu_time_millis: 2.084, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.902,
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: 1287.6173, usercpu_time_millis: 2.254, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7358, kappa: 0.4589, kb_relative_information_score: 9557.0256, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7579, predictive_accuracy: 0.7471, prior_entropy: 0.9835, recall: 0.7471, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8695, scimark_benchmark: 1297.1939, usercpu_time_millis: 1.873, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.76,
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: 1309.6739, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7526, kappa: 0.4911, kb_relative_information_score: 14267.4046, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8275, scimark_benchmark: 1305.325, usercpu_time_millis: 2.241, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 2.146,
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: 1298.9228, usercpu_time_millis: 1.456, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.186,
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: 1296.1027, usercpu_time_millis: 2.217, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: 0.0359, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1308.2818, usercpu_time_millis: 1.481, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6946, kappa: 0.381, kb_relative_information_score: 12287.151, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6993, predictive_accuracy: 0.6931, prior_entropy: 0.9835, recall: 0.6931, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8622, scimark_benchmark: 1284.8377, usercpu_time_millis: 335.759, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 335.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8044, f_measure: 0.7474, kappa: 0.4815, kb_relative_information_score: 11154.2104, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7637, predictive_accuracy: 0.7562, prior_entropy: 0.9835, recall: 0.7562, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8549, scimark_benchmark: 1313.3771, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7527, kappa: 0.4911, kb_relative_information_score: 15058.1262, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8226, scimark_benchmark: 1303.0812, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 3.773,
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: 1291.3876, usercpu_time_millis: 2.084, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.4204, kb_relative_information_score: 63.4684, mean_absolute_error: 0.4882, 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: 0.9991, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9991, scimark_benchmark: 1292.9402, usercpu_time_millis: 1.52, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.753, kappa: 0.4919, kb_relative_information_score: 14971.2313, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7612, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8233, scimark_benchmark: 1301.6793, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 2.18,
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: 1302.9525, usercpu_time_millis: 2.286, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7139, kappa: 0.4213, kb_relative_information_score: 6966.7624, mean_absolute_error: 0.4282, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7622, predictive_accuracy: 0.7342, prior_entropy: 0.9835, recall: 0.7342, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9005, scimark_benchmark: 1310.1901, usercpu_time_millis: 2.326, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 2.051,
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: 1305.5465, usercpu_time_millis: 2.056, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 1.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7359, kappa: 0.4601, kb_relative_information_score: 9078.885, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7626, predictive_accuracy: 0.7485, prior_entropy: 0.9835, recall: 0.7485, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8758, scimark_benchmark: 1299.9569, usercpu_time_millis: 2.573, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 2.387,
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: 1304.5165, usercpu_time_millis: 1.887, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.4236, kappa: 0.0039, kb_relative_information_score: 399.477, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7562, predictive_accuracy: 0.5769, prior_entropy: 0.9835, recall: 0.5769, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9941, scimark_benchmark: 1292.3085, usercpu_time_millis: 1.815, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 1.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.4423, kappa: 0.0264, kb_relative_information_score: 1484.4265, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7515, predictive_accuracy: 0.5852, prior_entropy: 0.9835, recall: 0.5852, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.978, scimark_benchmark: 1304.5808, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.949,
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: 1283.8902, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 3.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.5709, kappa: 0.194, kb_relative_information_score: 3568.552, mean_absolute_error: 0.4597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7447, predictive_accuracy: 0.6472, prior_entropy: 0.9835, recall: 0.6472, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9469, scimark_benchmark: 1297.2943, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.173,
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: 1312.216, usercpu_time_millis: 1.166, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 0.856,
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: 1313.9358, usercpu_time_millis: 1.079, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.825,
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: 1268.6529, usercpu_time_millis: 1.589, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7505, kappa: 0.4871, kb_relative_information_score: 12978.8672, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7624, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8374, scimark_benchmark: 1277.6553, usercpu_time_millis: 1.772, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7347, kappa: 0.459, kb_relative_information_score: 8454.1354, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7676, predictive_accuracy: 0.7491, prior_entropy: 0.9835, recall: 0.7491, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8823, scimark_benchmark: 1260.7637, usercpu_time_millis: 2.623, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.473,
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: 1258.3855, usercpu_time_millis: 1.57, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7511, kappa: 0.4883, kb_relative_information_score: 13241.2799, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.763, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8344, scimark_benchmark: 1262.7034, usercpu_time_millis: 3.37, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.124,
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: 1303.5701, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 0.638,
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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: 1305.5419, usercpu_time_millis: 2.305, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 1.707,
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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: 1308.8499, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.904, 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: 1279.8671, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7272, kappa: 0.4448, kb_relative_information_score: 7976.7496, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7635, predictive_accuracy: 0.7431, prior_entropy: 0.9835, recall: 0.7431, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8881, scimark_benchmark: 1303.0215, usercpu_time_millis: 1.985, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 1.835,
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: 1283.8834, usercpu_time_millis: 1.617, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 1.261,
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: 1307.8299, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7474, kappa: 0.4811, kb_relative_information_score: 12134.1921, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7619, predictive_accuracy: 0.7556, prior_entropy: 0.9835, recall: 0.7556, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.843, scimark_benchmark: 1303.2796, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 2.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7513, kappa: 0.4886, kb_relative_information_score: 13352.1186, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7629, predictive_accuracy: 0.7583, prior_entropy: 0.9835, recall: 0.7583, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8334, scimark_benchmark: 1291.2469, usercpu_time_millis: 2.561, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 2.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7536, kappa: 0.493, kb_relative_information_score: 15331.7865, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7607, predictive_accuracy: 0.759, prior_entropy: 0.9835, recall: 0.759, relative_absolute_error: 0.6909, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8215, scimark_benchmark: 1302.7049, usercpu_time_millis: 2.706, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 2.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7455, kappa: 0.4783, kb_relative_information_score: 10290.7564, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7655, predictive_accuracy: 0.7555, prior_entropy: 0.9835, recall: 0.7555, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8633, scimark_benchmark: 1298.9642, usercpu_time_millis: 2.59, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 2.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.5956, kappa: 0.2294, kb_relative_information_score: 3881.6453, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7454, predictive_accuracy: 0.6605, prior_entropy: 0.9835, recall: 0.6605, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9423, scimark_benchmark: 1305.3396, usercpu_time_millis: 2.23, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 2.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.6953, kappa: 0.3824, kb_relative_information_score: 12293.2567, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7, predictive_accuracy: 0.6937, prior_entropy: 0.9835, recall: 0.6937, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8623, scimark_benchmark: 1306.1866, usercpu_time_millis: 309.979, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 309.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6949, kappa: 0.3817, kb_relative_information_score: 12267.1767, mean_absolute_error: 0.3662, 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: 0.7494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8619, scimark_benchmark: 1301.4848, usercpu_time_millis: 329.336, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 329.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.4204, kb_relative_information_score: 37.2327, mean_absolute_error: 0.4883, 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: 0.9995, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9995, scimark_benchmark: 1293.3712, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.7461, kappa: 0.4787, kb_relative_information_score: 11719.205, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7617, predictive_accuracy: 0.7548, prior_entropy: 0.9835, recall: 0.7548, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.847, scimark_benchmark: 1264.2343, usercpu_time_millis: 1.828, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 1.725,
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: 1305.6845, usercpu_time_millis: 1.813, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7251, kappa: 0.4372, kb_relative_information_score: 8959.158, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7469, predictive_accuracy: 0.7371, prior_entropy: 0.9835, recall: 0.7371, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8769, scimark_benchmark: 1312.6276, usercpu_time_millis: 2.049, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.936,
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: 1312.7136, usercpu_time_millis: 1.259, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.99,
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: 1290.6245, usercpu_time_millis: 2.413, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 1.991,
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: 1283.7638, usercpu_time_millis: 1.557, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7523, kappa: 0.4905, kb_relative_information_score: 14052.3095, mean_absolute_error: 0.3529, 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: 0.7222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8283, scimark_benchmark: 1282.6405, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 2.581,
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: 1307.5338, usercpu_time_millis: 1.625, usercpu_time_millis_testing: 0.482, 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: 1306.1864, usercpu_time_millis: 2.469, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 1.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7532, kappa: 0.4921, kb_relative_information_score: 14896.1578, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7614, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8233, scimark_benchmark: 1305.6256, usercpu_time_millis: 2.82, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 2.691,
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: 1278.3401, usercpu_time_millis: 1.551, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.7499, kappa: 0.4856, kb_relative_information_score: 13619.5583, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7602, predictive_accuracy: 0.7566, prior_entropy: 0.9835, recall: 0.7566, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8302, scimark_benchmark: 1277.7588, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 1.859,
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: 1278.3977, usercpu_time_millis: 1.305, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.716, kappa: 0.4264, kb_relative_information_score: 6909.6677, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7688, predictive_accuracy: 0.7371, prior_entropy: 0.9835, recall: 0.7371, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.901, scimark_benchmark: 1269.138, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.54,
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: 1289.2869, usercpu_time_millis: 1.356, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 1.031,
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: 1274.7845, usercpu_time_millis: 1.372, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7301, kappa: 0.4509, kb_relative_information_score: 7956.056, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7682, predictive_accuracy: 0.7462, prior_entropy: 0.9835, recall: 0.7462, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8881, scimark_benchmark: 1305.4889, usercpu_time_millis: 1.635, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 1.542,

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