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: 0.8299, f_measure: 0.7542, kappa: 0.4963, kb_relative_information_score: 10020.9554, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7759, predictive_accuracy: 0.7641, prior_entropy: 0.9835, recall: 0.7641, relative_absolute_error: 0.8184, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8586, scimark_benchmark: 1820.9468, usercpu_time_millis: 112.205, usercpu_time_millis_testing: 10.981, usercpu_time_millis_training: 101.224,
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: 0.8696, f_measure: 0.7915, kappa: 0.5712, kb_relative_information_score: 18368.7155, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7926, predictive_accuracy: 0.7932, prior_entropy: 0.9835, recall: 0.7932, relative_absolute_error: 0.6263, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706, scimark_benchmark: 1856.1949, usercpu_time_millis: 32.571, usercpu_time_millis_testing: 2.14, usercpu_time_millis_training: 30.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -1.1212, 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: 1843.657, usercpu_time_millis: 107.957, usercpu_time_millis_testing: 9.378, usercpu_time_millis_training: 98.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7525, kappa: 0.4916, kb_relative_information_score: 14103.6097, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7605, prior_entropy: 0.9835, recall: 0.7605, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8273, scimark_benchmark: 1812.2788, usercpu_time_millis: 93.581, usercpu_time_millis_testing: 9.09, usercpu_time_millis_training: 84.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7839, kappa: 0.5553, kb_relative_information_score: 17729.2764, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7887, predictive_accuracy: 0.7874, prior_entropy: 0.9835, recall: 0.7874, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.386, root_relative_squared_error: 0.781, scimark_benchmark: 1819.9868, usercpu_time_millis: 147.611, usercpu_time_millis_testing: 12.039, usercpu_time_millis_training: 135.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8039, kappa: 0.5977, kb_relative_information_score: 19934.376, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8038, predictive_accuracy: 0.8045, prior_entropy: 0.9835, recall: 0.8045, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7506, scimark_benchmark: 1814.613, usercpu_time_millis: 103.844, usercpu_time_millis_testing: 5.084, usercpu_time_millis_training: 98.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.747, kappa: 0.4823, kb_relative_information_score: 7312.5548, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7724, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8948, scimark_benchmark: 1797.2383, usercpu_time_millis: 55.939, usercpu_time_millis_testing: 7.895, usercpu_time_millis_training: 48.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6514, 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: 1805.715, usercpu_time_millis: 57.472, usercpu_time_millis_testing: 9.751, usercpu_time_millis_training: 47.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7544, kappa: 0.4953, kb_relative_information_score: 15368.213, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7683, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8153, scimark_benchmark: 1830.7134, usercpu_time_millis: 135.795, usercpu_time_millis_testing: 11.445, usercpu_time_millis_training: 124.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.7857, kappa: 0.5591, kb_relative_information_score: 15442.8808, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7962, predictive_accuracy: 0.791, prior_entropy: 0.9835, recall: 0.791, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7859, scimark_benchmark: 1839.5885, usercpu_time_millis: 16.344, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 15.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8101, kappa: 0.61, kb_relative_information_score: 19846.6076, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8104, predictive_accuracy: 0.811, prior_entropy: 0.9835, recall: 0.811, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7458, scimark_benchmark: 1846.2342, usercpu_time_millis: 120.433, usercpu_time_millis_testing: 6.866, usercpu_time_millis_training: 113.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7557, kappa: 0.4982, kb_relative_information_score: 14293.2391, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7714, predictive_accuracy: 0.7638, prior_entropy: 0.9835, recall: 0.7638, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8178, scimark_benchmark: 1820.4188, usercpu_time_millis: 107.686, usercpu_time_millis_testing: 9.172, usercpu_time_millis_training: 98.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7984, kappa: 0.5851, kb_relative_information_score: 16600.0508, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8051, predictive_accuracy: 0.8021, prior_entropy: 0.9835, recall: 0.8021, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7686, scimark_benchmark: 1815.5992, usercpu_time_millis: 133.225, usercpu_time_millis_testing: 13.552, usercpu_time_millis_training: 119.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7522, kappa: 0.4923, kb_relative_information_score: 9419.2056, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.775, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8665, scimark_benchmark: 1803.582, usercpu_time_millis: 50.047, usercpu_time_millis_testing: 5.691, usercpu_time_millis_training: 44.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 15048.3426, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8322, scimark_benchmark: 1825.7178, usercpu_time_millis: 111.175, usercpu_time_millis_testing: 8.804, usercpu_time_millis_training: 102.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.4017, 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: 1790.2716, usercpu_time_millis: 12.275, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 10.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8803, kappa: 0.7548, kb_relative_information_score: 27376.6082, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6048, scimark_benchmark: 1846.6923, usercpu_time_millis: 116.658, usercpu_time_millis_testing: 6.353, usercpu_time_millis_training: 110.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7691, kappa: 0.5248, kb_relative_information_score: 17234.9996, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7758, predictive_accuracy: 0.7738, prior_entropy: 0.9835, recall: 0.7738, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7937, scimark_benchmark: 1855.4813, usercpu_time_millis: 43.285, usercpu_time_millis_testing: 1.758, usercpu_time_millis_training: 41.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7514, kappa: 0.4909, kb_relative_information_score: 9523.3742, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.775, predictive_accuracy: 0.762, prior_entropy: 0.9835, recall: 0.762, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.865, scimark_benchmark: 1852.9259, usercpu_time_millis: 44.467, usercpu_time_millis_testing: 5.002, usercpu_time_millis_training: 39.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7489, kappa: 0.4845, kb_relative_information_score: 14182.6874, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7657, predictive_accuracy: 0.7577, prior_entropy: 0.9835, recall: 0.7577, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8398, scimark_benchmark: 1843.1261, usercpu_time_millis: 42.659, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 40.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9196, kappa: 0.8355, kb_relative_information_score: 32086.2214, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9196, predictive_accuracy: 0.9196, prior_entropy: 0.9835, recall: 0.9196, relative_absolute_error: 0.3194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5066, scimark_benchmark: 1854.1098, usercpu_time_millis: 70.591, usercpu_time_millis_testing: 2.68, usercpu_time_millis_training: 67.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8071, kappa: 0.6029, kb_relative_information_score: 17348.3928, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8118, predictive_accuracy: 0.81, prior_entropy: 0.9835, recall: 0.81, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7572, scimark_benchmark: 1833.5359, usercpu_time_millis: 71.456, usercpu_time_millis_testing: 5.182, usercpu_time_millis_training: 66.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.867, kappa: 0.7272, kb_relative_information_score: 25550.3798, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8671, predictive_accuracy: 0.8674, prior_entropy: 0.9835, recall: 0.8674, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6284, scimark_benchmark: 1849.7595, usercpu_time_millis: 111.207, usercpu_time_millis_testing: 7.608, usercpu_time_millis_training: 103.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.779, kappa: 0.5452, kb_relative_information_score: 17615.1875, mean_absolute_error: 0.315, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.784, prior_entropy: 0.9835, recall: 0.784, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.7765, scimark_benchmark: 1848.2539, usercpu_time_millis: 109.821, usercpu_time_millis_testing: 7.119, usercpu_time_millis_training: 102.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.755, kappa: 0.4975, kb_relative_information_score: 11785.1746, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7744, predictive_accuracy: 0.7643, prior_entropy: 0.9835, recall: 0.7643, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8419, scimark_benchmark: 1857.5664, usercpu_time_millis: 97.234, usercpu_time_millis_testing: 8.511, usercpu_time_millis_training: 88.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7539, kappa: 0.4948, kb_relative_information_score: 13144.1229, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7707, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8326, scimark_benchmark: 1852.9988, usercpu_time_millis: 105.726, usercpu_time_millis_testing: 11.589, usercpu_time_millis_training: 94.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8687, kappa: 0.7307, kb_relative_information_score: 25534.0657, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8688, predictive_accuracy: 0.8691, prior_entropy: 0.9835, recall: 0.8691, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.627, scimark_benchmark: 1856.0123, usercpu_time_millis: 72.102, usercpu_time_millis_testing: 6.549, usercpu_time_millis_training: 65.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8988, kappa: 0.7927, kb_relative_information_score: 29075.6466, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8988, predictive_accuracy: 0.8989, prior_entropy: 0.9835, recall: 0.8989, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5631, scimark_benchmark: 1802.471, usercpu_time_millis: 75.868, usercpu_time_millis_testing: 3.974, usercpu_time_millis_training: 71.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8507, kappa: 0.6938, kb_relative_information_score: 24698.4388, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8508, predictive_accuracy: 0.8512, prior_entropy: 0.9835, recall: 0.8512, relative_absolute_error: 0.4851, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6563, scimark_benchmark: 1856.5802, usercpu_time_millis: 111.994, usercpu_time_millis_testing: 5.3, usercpu_time_millis_training: 106.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7485, kappa: 0.4838, kb_relative_information_score: 15032.3255, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.6979, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8317, scimark_benchmark: 1817.0461, usercpu_time_millis: 74.805, usercpu_time_millis_testing: 6.496, usercpu_time_millis_training: 68.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7579, kappa: 0.5029, kb_relative_information_score: 15838.177, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7743, predictive_accuracy: 0.7661, prior_entropy: 0.9835, recall: 0.7661, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8018, scimark_benchmark: 1856.7258, usercpu_time_millis: 102.496, usercpu_time_millis_testing: 7.428, usercpu_time_millis_training: 95.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7486, kappa: 0.4839, kb_relative_information_score: 14960.0682, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.765, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7017, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8296, scimark_benchmark: 1850.2875, usercpu_time_millis: 68.794, usercpu_time_millis_testing: 4.868, usercpu_time_millis_training: 63.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.2095, 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: 1801.0995, usercpu_time_millis: 27.272, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 22.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.7606, kappa: 0.5088, kb_relative_information_score: 12078.4905, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7801, predictive_accuracy: 0.7695, prior_entropy: 0.9835, recall: 0.7695, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8316, scimark_benchmark: 1823.4294, usercpu_time_millis: 67.538, usercpu_time_millis_testing: 8.943, usercpu_time_millis_training: 58.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7874, kappa: 0.5626, kb_relative_information_score: 17855.9381, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7889, predictive_accuracy: 0.7894, prior_entropy: 0.9835, recall: 0.7894, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7799, scimark_benchmark: 1841.1577, usercpu_time_millis: 86.075, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 81.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13752.5418, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8385, scimark_benchmark: 1816.6404, usercpu_time_millis: 52.33, usercpu_time_millis_testing: 4.899, usercpu_time_millis_training: 47.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8946, kappa: 0.784, kb_relative_information_score: 29000.9784, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8945, predictive_accuracy: 0.8947, prior_entropy: 0.9835, recall: 0.8947, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5718, scimark_benchmark: 1839.5885, usercpu_time_millis: 81.831, usercpu_time_millis_testing: 2.988, usercpu_time_millis_training: 78.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7525, kappa: 0.4915, kb_relative_information_score: 14062.2994, mean_absolute_error: 0.355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7668, predictive_accuracy: 0.7604, prior_entropy: 0.9835, recall: 0.7604, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8284, scimark_benchmark: 1811.7508, usercpu_time_millis: 65.672, usercpu_time_millis_testing: 5.229, usercpu_time_millis_training: 60.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 0.3856, 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: 1853.9121, usercpu_time_millis: 53.429, usercpu_time_millis_testing: 9.424, usercpu_time_millis_training: 44.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -1.318, 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: 1853.9121, usercpu_time_millis: 81.415, usercpu_time_millis_testing: 7.155, usercpu_time_millis_training: 74.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7649, kappa: 0.5166, kb_relative_information_score: 16359.0158, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7766, predictive_accuracy: 0.7714, prior_entropy: 0.9835, recall: 0.7714, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7988, scimark_benchmark: 1794.5001, usercpu_time_millis: 86.401, usercpu_time_millis_testing: 6.551, usercpu_time_millis_training: 79.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.8826, 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: 1846.2342, usercpu_time_millis: 86.359, usercpu_time_millis_testing: 8.931, usercpu_time_millis_training: 77.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7537, kappa: 0.494, kb_relative_information_score: 15706.4532, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7684, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8141, scimark_benchmark: 1844.7258, usercpu_time_millis: 54.076, usercpu_time_millis_testing: 3.26, usercpu_time_millis_training: 50.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3039, 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: 1844.2371, usercpu_time_millis: 51.859, usercpu_time_millis_testing: 9.342, usercpu_time_millis_training: 42.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8188, kappa: 0.6275, kb_relative_information_score: 20640.3613, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9835, recall: 0.82, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7261, scimark_benchmark: 1801.0296, usercpu_time_millis: 60.837, usercpu_time_millis_testing: 3.262, usercpu_time_millis_training: 57.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.7598, kappa: 0.5071, kb_relative_information_score: 14547.6412, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7775, predictive_accuracy: 0.7683, prior_entropy: 0.9835, recall: 0.7683, relative_absolute_error: 0.7178, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8083, scimark_benchmark: 1839.6597, usercpu_time_millis: 64.05, usercpu_time_millis_testing: 3.731, usercpu_time_millis_training: 60.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.825, kappa: 0.6408, kb_relative_information_score: 22390.8532, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8252, predictive_accuracy: 0.8257, prior_entropy: 0.9835, recall: 0.8257, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.349, root_relative_squared_error: 0.706, scimark_benchmark: 1854.4951, usercpu_time_millis: 95.925, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 92.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7532, kappa: 0.4932, kb_relative_information_score: 12081.3948, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7695, predictive_accuracy: 0.7616, prior_entropy: 0.9835, recall: 0.7616, relative_absolute_error: 0.7722, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8435, scimark_benchmark: 1124.9724, usercpu_time_millis: 87.094, usercpu_time_millis_testing: 9.382, usercpu_time_millis_training: 77.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.129, 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: 1851.8785, usercpu_time_millis: 59.005, usercpu_time_millis_testing: 7.162, usercpu_time_millis_training: 51.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8859, kappa: 0.7661, kb_relative_information_score: 27540.2042, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8859, predictive_accuracy: 0.8861, prior_entropy: 0.9835, recall: 0.8861, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5934, scimark_benchmark: 1853.3841, usercpu_time_millis: 73.256, usercpu_time_millis_testing: 4.745, usercpu_time_millis_training: 68.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8597, kappa: 0.7121, kb_relative_information_score: 23064.2623, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8599, predictive_accuracy: 0.8602, prior_entropy: 0.9835, recall: 0.8602, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.663, scimark_benchmark: 1857.5664, usercpu_time_millis: 12.046, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 11.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.2091, 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: 1813.848, usercpu_time_millis: 41.503, usercpu_time_millis_testing: 7.222, usercpu_time_millis_training: 34.281,
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: 0.9468, f_measure: 0.868, kappa: 0.7291, kb_relative_information_score: 25704.7915, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8681, predictive_accuracy: 0.8684, prior_entropy: 0.9835, recall: 0.8684, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6264, scimark_benchmark: 1811.7508, usercpu_time_millis: 50.089, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 47.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.7483, kappa: 0.4835, kb_relative_information_score: 13596.2091, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7573, prior_entropy: 0.9835, recall: 0.7573, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8525, scimark_benchmark: 1852.9988, usercpu_time_millis: 87.407, usercpu_time_millis_testing: 5.957, usercpu_time_millis_training: 81.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7638, kappa: 0.5153, kb_relative_information_score: 12905.7321, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7822, predictive_accuracy: 0.7723, prior_entropy: 0.9835, recall: 0.7723, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8207, scimark_benchmark: 1850.8706, usercpu_time_millis: 78.367, usercpu_time_millis_testing: 7.52, usercpu_time_millis_training: 70.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.806, kappa: 0.6007, kb_relative_information_score: 19086.5548, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8092, predictive_accuracy: 0.8084, prior_entropy: 0.9835, recall: 0.8084, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7512, scimark_benchmark: 1850.2875, usercpu_time_millis: 71.901, usercpu_time_millis_testing: 4.086, usercpu_time_millis_training: 67.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7532, kappa: 0.4937, kb_relative_information_score: 12537.5597, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7621, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8392, scimark_benchmark: 1852.9988, usercpu_time_millis: 80.653, usercpu_time_millis_testing: 6.506, usercpu_time_millis_training: 74.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8301, kappa: 0.6514, kb_relative_information_score: 22913.282, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8302, predictive_accuracy: 0.8307, prior_entropy: 0.9835, recall: 0.8307, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6956, scimark_benchmark: 1821.7903, usercpu_time_millis: 39.606, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 38.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7523, kappa: 0.4927, kb_relative_information_score: 9539.7501, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7756, predictive_accuracy: 0.7628, prior_entropy: 0.9835, recall: 0.7628, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8648, scimark_benchmark: 1844.6953, usercpu_time_millis: 80.431, usercpu_time_millis_testing: 6.376, usercpu_time_millis_training: 74.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8737, kappa: 0.7413, kb_relative_information_score: 27128.1381, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.8739, prior_entropy: 0.9835, recall: 0.8739, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6149, scimark_benchmark: 1847.2753, usercpu_time_millis: 73.887, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 71.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13039.1491, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8562, scimark_benchmark: 1848.7762, usercpu_time_millis: 75.597, usercpu_time_millis_testing: 7.977, usercpu_time_millis_training: 67.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.769, kappa: 0.5253, kb_relative_information_score: 16030.1636, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7833, predictive_accuracy: 0.7761, prior_entropy: 0.9835, recall: 0.7761, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7889, scimark_benchmark: 1857.1082, usercpu_time_millis: 73.29, usercpu_time_millis_testing: 5.661, usercpu_time_millis_training: 67.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7487, kappa: 0.484, kb_relative_information_score: 13983.5052, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8377, scimark_benchmark: 1855.0959, usercpu_time_millis: 54.138, usercpu_time_millis_testing: 4.554, usercpu_time_millis_training: 49.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7419, kappa: 0.473, kb_relative_information_score: 5942.2262, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.772, predictive_accuracy: 0.7549, prior_entropy: 0.9835, recall: 0.7549, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.913, scimark_benchmark: 1825.7178, usercpu_time_millis: 54.053, usercpu_time_millis_testing: 6.583, usercpu_time_millis_training: 47.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.7898, kappa: 0.5674, kb_relative_information_score: 15752.9372, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7988, predictive_accuracy: 0.7945, prior_entropy: 0.9835, recall: 0.7945, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7812, scimark_benchmark: 1852.9259, usercpu_time_millis: 65.037, usercpu_time_millis_testing: 4.787, usercpu_time_millis_training: 60.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7481, kappa: 0.483, kb_relative_information_score: 13173.6061, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.859, scimark_benchmark: 1838.1793, usercpu_time_millis: 55.679, usercpu_time_millis_testing: 7.992, usercpu_time_millis_training: 47.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7489, kappa: 0.4848, kb_relative_information_score: 11805.467, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7665, predictive_accuracy: 0.758, prior_entropy: 0.9835, recall: 0.758, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8515, scimark_benchmark: 1851.8567, usercpu_time_millis: 64.84, usercpu_time_millis_testing: 8.119, usercpu_time_millis_training: 56.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7531, kappa: 0.4929, kb_relative_information_score: 15499.563, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7687, predictive_accuracy: 0.7613, prior_entropy: 0.9835, recall: 0.7613, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8167, scimark_benchmark: 1832.1397, usercpu_time_millis: 20.736, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 19.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8372, kappa: 0.6654, kb_relative_information_score: 20408.205, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8383, predictive_accuracy: 0.8383, prior_entropy: 0.9835, recall: 0.8383, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.7058, scimark_benchmark: 1855.5541, usercpu_time_millis: 19.957, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 18.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.6844, 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: 1849.8294, usercpu_time_millis: 59.455, usercpu_time_millis_testing: 4.661, usercpu_time_millis_training: 54.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.1663, 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: 1856.0123, usercpu_time_millis: 27.032, usercpu_time_millis_testing: 4.597, usercpu_time_millis_training: 22.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8995, kappa: 0.7942, kb_relative_information_score: 29255.7831, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8995, predictive_accuracy: 0.8996, prior_entropy: 0.9835, recall: 0.8996, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.561, scimark_benchmark: 1859.1356, usercpu_time_millis: 63.417, usercpu_time_millis_testing: 3.332, usercpu_time_millis_training: 60.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7547, kappa: 0.4961, kb_relative_information_score: 15455.3656, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7692, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8131, scimark_benchmark: 1786.6181, usercpu_time_millis: 52.65, usercpu_time_millis_testing: 4.092, usercpu_time_millis_training: 48.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7534, kappa: 0.4933, kb_relative_information_score: 14463.163, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7672, predictive_accuracy: 0.7611, prior_entropy: 0.9835, recall: 0.7611, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8225, scimark_benchmark: 1850.9835, usercpu_time_millis: 45.479, usercpu_time_millis_testing: 3.087, usercpu_time_millis_training: 42.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8199, kappa: 0.6302, kb_relative_information_score: 21198.2845, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8201, predictive_accuracy: 0.8207, prior_entropy: 0.9835, recall: 0.8207, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7211, scimark_benchmark: 1813.7129, usercpu_time_millis: 24.846, usercpu_time_millis_testing: 0.837, usercpu_time_millis_training: 24.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7672, kappa: 0.5217, kb_relative_information_score: 15878.9384, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7819, predictive_accuracy: 0.7745, prior_entropy: 0.9835, recall: 0.7745, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7914, scimark_benchmark: 1811.8207, usercpu_time_millis: 27.824, usercpu_time_millis_testing: 1.845, usercpu_time_millis_training: 25.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7926, kappa: 0.5744, kb_relative_information_score: 18506.2827, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7925, predictive_accuracy: 0.7933, prior_entropy: 0.9835, recall: 0.7933, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7731, scimark_benchmark: 1854.4951, usercpu_time_millis: 59.387, usercpu_time_millis_testing: 2.549, usercpu_time_millis_training: 56.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.8718, 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: 1858.6076, usercpu_time_millis: 60.489, usercpu_time_millis_testing: 8.583, usercpu_time_millis_training: 51.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7672, kappa: 0.5212, kb_relative_information_score: 17185.3897, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7778, predictive_accuracy: 0.7732, prior_entropy: 0.9835, recall: 0.7732, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7893, scimark_benchmark: 1837.1902, usercpu_time_millis: 13.165, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 12.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.7789, kappa: 0.5454, kb_relative_information_score: 14688.7584, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7917, predictive_accuracy: 0.7851, prior_entropy: 0.9835, recall: 0.7851, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.7964, scimark_benchmark: 1839.5885, usercpu_time_millis: 35.28, usercpu_time_millis_testing: 2.383, usercpu_time_millis_training: 32.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.2382, 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: 1824.8044, usercpu_time_millis: 37.451, usercpu_time_millis_testing: 4.546, usercpu_time_millis_training: 32.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0132, 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: 1844.7384, usercpu_time_millis: 30.042, usercpu_time_millis_testing: 6.27, usercpu_time_millis_training: 23.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.7793, kappa: 0.546, kb_relative_information_score: 17366.0987, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7902, predictive_accuracy: 0.7849, prior_entropy: 0.9835, recall: 0.7849, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7766, scimark_benchmark: 1840.6995, usercpu_time_millis: 35.921, usercpu_time_millis_testing: 1.771, usercpu_time_millis_training: 34.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.9599, 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: 1839.0246, usercpu_time_millis: 50.272, usercpu_time_millis_testing: 4.721, usercpu_time_millis_training: 45.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: 1.6422, 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: 1820.4188, usercpu_time_millis: 12.648, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 11.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7448, kappa: 0.4783, kb_relative_information_score: 7538.9631, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7725, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.8918, scimark_benchmark: 1849.8294, usercpu_time_millis: 3.849, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.3777, 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: 1850.2875, usercpu_time_millis: 36.892, usercpu_time_millis_testing: 6.199, usercpu_time_millis_training: 30.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7509, kappa: 0.4892, kb_relative_information_score: 11364.0937, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.771, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8491, scimark_benchmark: 1850.2875, usercpu_time_millis: 1.879, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7543, kappa: 0.4966, kb_relative_information_score: 10369.2505, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7771, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8539, scimark_benchmark: 1830.2552, usercpu_time_millis: 28.236, usercpu_time_millis_testing: 3.455, usercpu_time_millis_training: 24.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7537, kappa: 0.4944, kb_relative_information_score: 13015.0971, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7706, predictive_accuracy: 0.7623, prior_entropy: 0.9835, recall: 0.7623, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8343, scimark_benchmark: 1855.4813, usercpu_time_millis: 42.412, usercpu_time_millis_testing: 5.214, usercpu_time_millis_training: 37.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.756, kappa: 0.4997, kb_relative_information_score: 11069.0048, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.777, predictive_accuracy: 0.7656, prior_entropy: 0.9835, recall: 0.7656, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.845, scimark_benchmark: 1853.9121, usercpu_time_millis: 39.231, usercpu_time_millis_testing: 4.432, usercpu_time_millis_training: 34.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8257, kappa: 0.6425, kb_relative_information_score: 22773.2583, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8256, predictive_accuracy: 0.8261, prior_entropy: 0.9835, recall: 0.8261, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.705, scimark_benchmark: 1843.1261, usercpu_time_millis: 19.88, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 19.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7567, kappa: 0.5007, kb_relative_information_score: 12102.8203, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7744, predictive_accuracy: 0.7654, prior_entropy: 0.9835, recall: 0.7654, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8378, scimark_benchmark: 1849.8294, usercpu_time_millis: 33.962, usercpu_time_millis_testing: 2.932, usercpu_time_millis_training: 31.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4204, kb_relative_information_score: -0.4372, 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: 1855.4813, usercpu_time_millis: 15.79, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 14.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8391, kappa: 0.6699, kb_relative_information_score: 23654.7988, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8391, predictive_accuracy: 0.8396, prior_entropy: 0.9835, recall: 0.8396, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6801, scimark_benchmark: 1849.8294, usercpu_time_millis: 23.167, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 22.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.757, kappa: 0.5009, kb_relative_information_score: 14565.5478, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7727, predictive_accuracy: 0.7651, prior_entropy: 0.9835, recall: 0.7651, relative_absolute_error: 0.7166, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.815, scimark_benchmark: 1844.1673, usercpu_time_millis: 23.389, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 22.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4204, kb_relative_information_score: -0.5677, 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: 1851.8567, usercpu_time_millis: 33.164, usercpu_time_millis_testing: 5.631, usercpu_time_millis_training: 27.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.7892, kappa: 0.5661, kb_relative_information_score: 17533.3768, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7968, predictive_accuracy: 0.7935, prior_entropy: 0.9835, recall: 0.7935, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7686, scimark_benchmark: 1852.5406, usercpu_time_millis: 12.424, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 11.809,

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