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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: 0.6039, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 80.7741, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1867.725, usercpu_time_millis: 61.912, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 61.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.5403, kappa: 0.0809, kb_relative_information_score: 34.2837, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5405, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9977, scimark_benchmark: 1847.1125, usercpu_time_millis: 56.444, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 55.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 88.4688, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1872.5609, usercpu_time_millis: 50.19, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 49.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 96.4891, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1778.8609, usercpu_time_millis: 43.284, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 42.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5937, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 69.8571, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1782.4648, usercpu_time_millis: 37.59, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 36.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 88.0002, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0009, scimark_benchmark: 1873.019, usercpu_time_millis: 36.065, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 35.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.5427, kappa: 0.0875, kb_relative_information_score: 32.4634, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5441, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1872.5609, usercpu_time_millis: 11.651, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 11.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.003, 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: 1771.5041, usercpu_time_millis: 2.152, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: 0.0015, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5009, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.6859, usercpu_time_millis: 2.389, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 2.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0143, 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: 1771.5041, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5042, kappa: 0.0099, kb_relative_information_score: 14.7161, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.505, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0028, scimark_benchmark: 1847.7271, usercpu_time_millis: 0.612, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5405, kappa: 0.0825, kb_relative_information_score: 27.8917, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5415, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1735.381, usercpu_time_millis: 229.918, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 229.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 92.7621, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9889, scimark_benchmark: 1794.143, usercpu_time_millis: 165.171, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 164.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5904, kappa: 0.1815, kb_relative_information_score: 87.1805, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5911, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9891, scimark_benchmark: 1746.2917, usercpu_time_millis: 139.427, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 138.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.533, kappa: 0.066, kb_relative_information_score: 42.4981, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1708.6071, usercpu_time_millis: 122.327, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 120.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5558, kappa: 0.1122, kb_relative_information_score: 53.6104, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5563, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1738.1722, usercpu_time_millis: 81.362, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 80.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5404, kappa: 0.0809, kb_relative_information_score: 48.1671, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5404, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9963, scimark_benchmark: 1748.7212, usercpu_time_millis: 70.36, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 69.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5238, kappa: 0.0512, kb_relative_information_score: 14.0281, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1749.1199, usercpu_time_millis: 67.246, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 66.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 49.2952, mean_absolute_error: 0.4835, 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: 0.9669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1739.0223, usercpu_time_millis: 54.915, usercpu_time_millis_testing: 1.16, usercpu_time_millis_training: 53.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5291, kappa: 0.0627, kb_relative_information_score: 22.0927, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.532, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9991, scimark_benchmark: 1749.5822, usercpu_time_millis: 52.185, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 51.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.5336, kappa: 0.0677, kb_relative_information_score: 36.1652, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5339, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1749.5822, usercpu_time_millis: 43.724, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 42.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5495, kappa: 0.099, kb_relative_information_score: 56.4537, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.9619, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1751.3544, usercpu_time_millis: 27.353, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 27.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.5158, kappa: 0.0347, kb_relative_information_score: 10.7508, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5175, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1750.7876, usercpu_time_millis: 23.771, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 23.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5139, kappa: 0.0314, kb_relative_information_score: 11.4424, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5159, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1706.8579, usercpu_time_millis: 19.192, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 18.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5232, kappa: 0.0495, kb_relative_information_score: 10.6314, mean_absolute_error: 0.4967, 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: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1730.413, usercpu_time_millis: 11.69, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 11.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.5005, kappa: 0.005, kb_relative_information_score: 8.1165, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1750.8922, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 3.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0358, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, 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: 1.0001, scimark_benchmark: 1814.2069, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.1134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1747.4929, usercpu_time_millis: 0.356, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5008, kappa: 0.0017, kb_relative_information_score: 0.0083, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5008, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1755.4795, usercpu_time_millis: 0.369, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4792, kb_relative_information_score: -0.0039, 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: 1813.8259, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0053, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, 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: 1742.7467, usercpu_time_millis: 0.561, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5806, kappa: 0.1617, kb_relative_information_score: 122.8393, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0058, scimark_benchmark: 1738.6251, usercpu_time_millis: 430.867, usercpu_time_millis_testing: 1.366, usercpu_time_millis_training: 429.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 61.1236, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.566, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1707.0287, usercpu_time_millis: 348.301, usercpu_time_millis_testing: 1.095, usercpu_time_millis_training: 347.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 70.5739, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1713.7241, usercpu_time_millis: 234.702, usercpu_time_millis_testing: 1.535, usercpu_time_millis_training: 233.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 98.6755, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0148, scimark_benchmark: 1745.3654, usercpu_time_millis: 210.475, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 209.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5502, kappa: 0.1007, kb_relative_information_score: 51.4638, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5504, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1730.6019, usercpu_time_millis: 192.686, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 191.84,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5245, kappa: 0.0512, kb_relative_information_score: 11.3316, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5258, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1858.6775, usercpu_time_millis: 3.185, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 3.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.5247, kappa: 0.0495, kb_relative_information_score: 25.5695, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5248, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0083, scimark_benchmark: 1875.5079, usercpu_time_millis: 2.998, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 2.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4951, kb_relative_information_score: -0.0061, 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: 1850.2875, usercpu_time_millis: 1.497, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.5574, kappa: 0.1155, kb_relative_information_score: 47.3448, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5579, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1871.5019, usercpu_time_millis: 180.448, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 179.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 73.5607, mean_absolute_error: 0.4748, 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: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1858.4623, usercpu_time_millis: 176.205, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 174.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.5716, kappa: 0.1436, kb_relative_information_score: 89.1526, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9881, scimark_benchmark: 1826.0273, usercpu_time_millis: 163.638, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 162.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5405, kappa: 0.0825, kb_relative_information_score: 33.9683, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5415, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1825.3246, usercpu_time_millis: 158.414, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 157.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.5358, kappa: 0.0759, kb_relative_information_score: 27.0739, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5387, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1806.1103, usercpu_time_millis: 143.534, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 142.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.5871, kappa: 0.1749, kb_relative_information_score: 91.4842, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5877, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9883, scimark_benchmark: 1916.4371, usercpu_time_millis: 130.494, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 130.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 78.2569, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5834, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1838.2459, usercpu_time_millis: 127.227, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 126.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 130.0198, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.576, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5207, root_relative_squared_error: 1.0413, scimark_benchmark: 1745.3654, usercpu_time_millis: 103.205, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 102.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 65.7933, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5661, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1864.7294, usercpu_time_millis: 100.905, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 100.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.594, kappa: 0.1881, kb_relative_information_score: 108.8555, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5941, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1860.9838, usercpu_time_millis: 91.89, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 91.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5433, kappa: 0.0875, kb_relative_information_score: 40.1896, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5439, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1871.5019, usercpu_time_millis: 75.043, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 74.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5755, f_measure: 0.5443, kappa: 0.0891, kb_relative_information_score: 48.0661, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1072.0208, usercpu_time_millis: 63.998, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 63.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5371, kappa: 0.0776, kb_relative_information_score: 26.4353, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5394, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1820.531, usercpu_time_millis: 65.506, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 65.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 98.6695, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.585, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1860.9838, usercpu_time_millis: 56.948, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 56.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 82.7476, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1857.8478, usercpu_time_millis: 47.809, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 47.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.51, kappa: 0.0215, kb_relative_information_score: 3.3199, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5108, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1076.1084, usercpu_time_millis: 28.355, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 27.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.592, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 64.728, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5603, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1814.9615, usercpu_time_millis: 27.104, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 26.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5163, f_measure: 0.5254, kappa: 0.0528, kb_relative_information_score: 5.3784, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1841.173, usercpu_time_millis: 14.226, usercpu_time_millis_testing: 0.469, usercpu_time_millis_training: 13.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 54.1523, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5627, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1868.5063, usercpu_time_millis: 5.115, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 5.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0169, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1845.7221, usercpu_time_millis: 1.75, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 88.0031, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0078, scimark_benchmark: 1743.8136, usercpu_time_millis: 655.108, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 653.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 76.1193, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1740.0424, usercpu_time_millis: 279.529, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 278.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5517, kappa: 0.104, kb_relative_information_score: 54.2696, mean_absolute_error: 0.4817, 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: 0.9633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1830.7127, usercpu_time_millis: 155.426, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 154.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5509, kappa: 0.1023, kb_relative_information_score: 51.941, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5513, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9935, scimark_benchmark: 1737.5532, usercpu_time_millis: 188.099, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 186.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 62.1259, mean_absolute_error: 0.4789, 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: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1838.3169, usercpu_time_millis: 55.712, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 54.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 51.9674, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9905, scimark_benchmark: 1800.3178, usercpu_time_millis: 56.314, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 56.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5211, f_measure: 0.5233, kappa: 0.0495, kb_relative_information_score: 7.5476, mean_absolute_error: 0.4977, 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: 0.9954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 940.4658, usercpu_time_millis: 17.185, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 16.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.5181, kappa: 0.0413, kb_relative_information_score: 11.0441, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5211, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1709.4282, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 4.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5609, kappa: 0.1221, kb_relative_information_score: 61.3906, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5612, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1790.3551, usercpu_time_millis: 38.652, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 38.278,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs