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Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 72.0375, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0222, scimark_benchmark: 1913.7677, usercpu_time_millis: 227.25, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 226.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0141, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1865.7643, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5202, f_measure: 0.528, kappa: 0.0561, kb_relative_information_score: 4.4896, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5281, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1920.6606, usercpu_time_millis: 8.541, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 8.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5713, kappa: 0.1452, kb_relative_information_score: 57.253, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9837, scimark_benchmark: 1905.758, usercpu_time_millis: 6.424, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 6.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6261, f_measure: 0.5971, kappa: 0.1947, kb_relative_information_score: 112.8717, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5976, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1869.8223, usercpu_time_millis: 78.56, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 78.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 82.9276, mean_absolute_error: 0.4716, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.58, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1860.4615, usercpu_time_millis: 132.824, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 132.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.568, kappa: 0.137, kb_relative_information_score: 85.4798, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5688, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1840.543, usercpu_time_millis: 171.894, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 170.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5882, f_measure: 0.561, kappa: 0.1221, kb_relative_information_score: 64.4442, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1914.2353, usercpu_time_millis: 9.6, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 9.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.5139, kappa: 0.033, kb_relative_information_score: 25.0974, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5169, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1838.632, usercpu_time_millis: 16.382, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 16.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, f_measure: 0.5258, kappa: 0.0578, kb_relative_information_score: 16.8519, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5296, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1862.0186, usercpu_time_millis: 37.731, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 37.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.5551, kappa: 0.1106, kb_relative_information_score: 49.6243, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1857.1635, usercpu_time_millis: 42.179, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 41.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5641, kappa: 0.1287, kb_relative_information_score: 57.5265, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5645, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 1908.1135, usercpu_time_millis: 49.417, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 48.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.54, kappa: 0.0809, kb_relative_information_score: 44.8421, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5406, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1826.4059, usercpu_time_millis: 65.949, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 65.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.567, kappa: 0.1353, kb_relative_information_score: 46.0741, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.568, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1856.2927, usercpu_time_millis: 338.578, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 337.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0038, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1863.3902, usercpu_time_millis: 0.905, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.5987, kappa: 0.198, kb_relative_information_score: 112.3892, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5993, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1844.7028, usercpu_time_millis: 22.919, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 22.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5427, kappa: 0.0858, kb_relative_information_score: 48.3775, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1843.808, usercpu_time_millis: 85.376, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 83.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6319, f_measure: 0.6038, kappa: 0.2079, kb_relative_information_score: 98.2607, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6042, predictive_accuracy: 0.604, prior_entropy: 1, recall: 0.604, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9775, scimark_benchmark: 1853.4689, usercpu_time_millis: 8.446, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 8.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.569, kappa: 0.1386, kb_relative_information_score: 70.5541, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5695, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1860.0075, usercpu_time_millis: 149.071, usercpu_time_millis_testing: 1.607, usercpu_time_millis_training: 147.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4792, kb_relative_information_score: 0.0005, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1734.294, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5989, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 70.0191, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1849.4065, usercpu_time_millis: 17.537, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 17.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.5384, kappa: 0.0776, kb_relative_information_score: 45.9889, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1804.1885, usercpu_time_millis: 81.856, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 81.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5822, kappa: 0.165, kb_relative_information_score: 94.8772, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5827, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1838.9459, usercpu_time_millis: 106.004, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 103.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.5319, kappa: 0.066, kb_relative_information_score: 34.4596, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5333, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1829.83, usercpu_time_millis: 111.339, usercpu_time_millis_testing: 1.077, usercpu_time_millis_training: 110.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.5839, kappa: 0.1683, kb_relative_information_score: 89.6078, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5843, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9885, scimark_benchmark: 1771.7478, usercpu_time_millis: 131.567, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 129.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5155, kappa: 0.0363, kb_relative_information_score: 7.9849, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5186, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1902.2899, usercpu_time_millis: 12.918, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 12.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5814, kappa: 0.1634, kb_relative_information_score: 83.7165, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5819, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9873, scimark_benchmark: 1844.8273, usercpu_time_millis: 29.264, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 28.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.5568, kappa: 0.1139, kb_relative_information_score: 46.7487, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1760.3984, usercpu_time_millis: 59.711, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 58.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 43.4122, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5488, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1837.8058, usercpu_time_millis: 63.103, usercpu_time_millis_testing: 1.276, usercpu_time_millis_training: 61.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5772, kappa: 0.1551, kb_relative_information_score: 85.7487, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5778, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9905, scimark_benchmark: 1758.5397, usercpu_time_millis: 196.027, usercpu_time_millis_testing: 2.217, usercpu_time_millis_training: 193.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5452, kappa: 0.0908, kb_relative_information_score: 49.6978, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5455, predictive_accuracy: 0.5454, prior_entropy: 1, recall: 0.5454, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1849.5341, usercpu_time_millis: 245.301, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 244.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.5061, kappa: 0.0149, kb_relative_information_score: 6.7667, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5075, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1758.5667, usercpu_time_millis: 9.282, usercpu_time_millis_testing: 0.592, usercpu_time_millis_training: 8.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.5371, kappa: 0.0743, kb_relative_information_score: 35.5301, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5371, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0047, scimark_benchmark: 1826.8072, usercpu_time_millis: 13.804, usercpu_time_millis_testing: 1.556, usercpu_time_millis_training: 12.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.5296, kappa: 0.0611, kb_relative_information_score: 26.4367, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5308, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1809.6115, usercpu_time_millis: 23.057, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 22.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 79.8619, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1758.5397, usercpu_time_millis: 171.446, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 169.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5675, kappa: 0.1353, kb_relative_information_score: 88.3138, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1838.4511, usercpu_time_millis: 1.374, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 1.322,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 62.0285, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1862.8022, usercpu_time_millis: 39.874, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 39.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5683, kappa: 0.137, kb_relative_information_score: 73.4335, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5686, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1902.596, usercpu_time_millis: 40.997, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 40.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 60.1834, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5602, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1865.2545, usercpu_time_millis: 44.266, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 43.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 63.6407, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5619, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1863.7834, usercpu_time_millis: 53.988, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 52.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 60.1616, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1865.7826, usercpu_time_millis: 70.827, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 70.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.5664, kappa: 0.1337, kb_relative_information_score: 70.9203, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5671, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 789.7377, usercpu_time_millis: 128.817, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 127.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5181, kappa: 0.038, kb_relative_information_score: 7.9107, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0031, scimark_benchmark: 1846.6316, usercpu_time_millis: 195.067, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 194.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5414, f_measure: 0.5168, kappa: 0.038, kb_relative_information_score: 14.9823, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1867.725, usercpu_time_millis: 11.061, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 10.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.5275, kappa: 0.0611, kb_relative_information_score: 16.306, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5313, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1869.8223, usercpu_time_millis: 12.828, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 12.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5072, kappa: 0.0165, kb_relative_information_score: 20.2783, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5083, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1843.0314, usercpu_time_millis: 33.289, usercpu_time_millis_testing: 0.886, usercpu_time_millis_training: 32.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.556, kappa: 0.1122, kb_relative_information_score: 53.1284, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5562, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1827.6996, usercpu_time_millis: 40.543, usercpu_time_millis_testing: 0.598, usercpu_time_millis_training: 39.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5362, kappa: 0.0726, kb_relative_information_score: 38.5335, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1871.9601, usercpu_time_millis: 48.947, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 47.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5548, kappa: 0.1106, kb_relative_information_score: 45.6833, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5555, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1865.9581, usercpu_time_millis: 86.222, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 85.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 48.9078, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1872.8797, usercpu_time_millis: 126.029, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 124.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1866.9264, usercpu_time_millis: 2.008, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.5649, kappa: 0.1304, kb_relative_information_score: 76.9695, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5653, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1876.6882, usercpu_time_millis: 62.786, usercpu_time_millis_testing: 1.421, usercpu_time_millis_training: 61.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.5863, kappa: 0.1733, kb_relative_information_score: 107.2618, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5869, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1874.977, usercpu_time_millis: 152.024, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 151.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5305, kappa: 0.0693, kb_relative_information_score: 19.0401, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5359, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.88, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, f_measure: 0.5159, kappa: 0.0363, kb_relative_information_score: 10.0418, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5185, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1871.5019, usercpu_time_millis: 9.153, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 9.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.5858, kappa: 0.1716, kb_relative_information_score: 79.3492, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5858, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9799, scimark_benchmark: 1874.977, usercpu_time_millis: 10.98, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 10.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.5299, kappa: 0.0611, kb_relative_information_score: 28.736, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5307, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1872.4881, usercpu_time_millis: 26.266, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 25.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 89.1845, mean_absolute_error: 0.4698, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.59, predictive_accuracy: 0.5899, prior_entropy: 1, recall: 0.5899, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9768, scimark_benchmark: 1845.7221, usercpu_time_millis: 53.307, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 52.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5955, kappa: 0.1914, kb_relative_information_score: 130.2516, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5959, predictive_accuracy: 0.5957, prior_entropy: 1, recall: 0.5957, relative_absolute_error: 0.9052, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.505, root_relative_squared_error: 1.01, scimark_benchmark: 1875.8384, usercpu_time_millis: 64.366, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 64.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5657, kappa: 0.132, kb_relative_information_score: 60.4144, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5662, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1872.4881, usercpu_time_millis: 89.462, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 88.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.549, kappa: 0.099, kb_relative_information_score: 48.1252, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5497, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1797.7308, usercpu_time_millis: 106.164, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 105.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.599, kappa: 0.198, kb_relative_information_score: 97.7025, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.599, predictive_accuracy: 0.599, prior_entropy: 1, recall: 0.599, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9769, scimark_benchmark: 1840.2163, usercpu_time_millis: 128.94, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 128.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 57.6133, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1845.6009, usercpu_time_millis: 177.952, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 177.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.5233, kappa: 0.0495, kb_relative_information_score: 23.0839, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1874.4489, usercpu_time_millis: 10.883, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 10.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5794, f_measure: 0.5518, kappa: 0.104, kb_relative_information_score: 40.8248, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5521, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1874.977, usercpu_time_millis: 22.425, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 22.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5272, kappa: 0.0545, kb_relative_information_score: 31.3562, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5272, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1867.6581, usercpu_time_millis: 32.526, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 31.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5252, kappa: 0.0512, kb_relative_information_score: 28.0468, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1845.3411, usercpu_time_millis: 32.015, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 31.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, f_measure: 0.5858, kappa: 0.1716, kb_relative_information_score: 91.3719, mean_absolute_error: 0.4681, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5858, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1828.7746, usercpu_time_millis: 47.906, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 47.732,

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