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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: 0.5419, f_measure: 0.5182, kappa: 0.0363, kb_relative_information_score: 27.2955, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5066, root_relative_squared_error: 1.0131, scimark_benchmark: 1910.346, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5596, kappa: 0.1205, kb_relative_information_score: 48.6704, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5606, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 2053.6756, usercpu_time_millis: 57.733, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 57.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.5758, kappa: 0.1518, kb_relative_information_score: 76.0706, mean_absolute_error: 0.4741, 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: 0.9483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1861.9506, usercpu_time_millis: 67.731, usercpu_time_millis_testing: 1.249, usercpu_time_millis_training: 66.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0117, 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: 2099.2063, usercpu_time_millis: 1.419, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 107.3367, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5886, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1851.5723, usercpu_time_millis: 518.627, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 517.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 86.1622, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1872.546, usercpu_time_millis: 404.299, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 403.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.5839, kappa: 0.1683, kb_relative_information_score: 101.5129, mean_absolute_error: 0.4647, 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: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9885, scimark_benchmark: 1865.7643, usercpu_time_millis: 303.826, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 302.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 124.0897, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0325, scimark_benchmark: 1960.3086, usercpu_time_millis: 302.98, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 302.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 119.2043, mean_absolute_error: 0.4565, 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: 0.913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5042, root_relative_squared_error: 1.0083, scimark_benchmark: 1860.9197, usercpu_time_millis: 125.959, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 125.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.5445, kappa: 0.0891, kb_relative_information_score: 52.4765, mean_absolute_error: 0.4821, 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: 0.9642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9959, scimark_benchmark: 1874.977, usercpu_time_millis: 126.934, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 126.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5526, kappa: 0.1056, kb_relative_information_score: 54.7897, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5529, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9923, scimark_benchmark: 1859.4255, usercpu_time_millis: 108.566, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 107.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5502, kappa: 0.1007, kb_relative_information_score: 53.3204, mean_absolute_error: 0.482, 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: 0.9639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 2146.3647, usercpu_time_millis: 86.37, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 85.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 46.8999, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1864.7294, usercpu_time_millis: 50.908, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 50.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.5273, kappa: 0.0578, kb_relative_information_score: 28.7894, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5293, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1851.5125, usercpu_time_millis: 51.478, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 51.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 95.0204, mean_absolute_error: 0.4672, 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: 0.9344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1859.4881, usercpu_time_millis: 9.15, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 8.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.5185, kappa: 0.038, kb_relative_information_score: 29.0363, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.519, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1869.2422, usercpu_time_millis: 11.69, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 11.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5255, kappa: 0.0528, kb_relative_information_score: 5.8196, mean_absolute_error: 0.4982, 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: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1859.9421, usercpu_time_millis: 8.856, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 8.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5231, kappa: 0.0462, kb_relative_information_score: 28.9494, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5231, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1871.4349, usercpu_time_millis: 5.78, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 5.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4792, kb_relative_information_score: -0.0053, 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: 1864.2071, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4782, kappa: -0.0017, kb_relative_information_score: -0.0207, 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, scimark_benchmark: 1864.2071, usercpu_time_millis: 0.523, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5282, kappa: 0.0578, kb_relative_information_score: 5.4383, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.529, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1862.0186, usercpu_time_millis: 1.899, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.5936, kappa: 0.1881, kb_relative_information_score: 108.2566, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5945, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1854.8036, usercpu_time_millis: 283.493, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 282.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 103.5988, mean_absolute_error: 0.4629, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5786, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0052, scimark_benchmark: 1864.7294, usercpu_time_millis: 272.03, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 271.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 77.9146, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5727, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 2147.0288, usercpu_time_millis: 265.262, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 264.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.5821, kappa: 0.165, kb_relative_information_score: 95.2854, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5828, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1968.6968, usercpu_time_millis: 223.324, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 221.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.5393, kappa: 0.0809, kb_relative_information_score: 31.0669, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5408, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9927, scimark_benchmark: 1853.8358, usercpu_time_millis: 174.808, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 174.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5443, kappa: 0.0891, kb_relative_information_score: 46.5963, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5447, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1866.2865, usercpu_time_millis: 166.506, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 165.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5405, kappa: 0.0825, kb_relative_information_score: 23.6709, mean_absolute_error: 0.4926, 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: 0.9852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1870.0634, usercpu_time_millis: 116.811, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 116.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 81.5829, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1860.2275, usercpu_time_millis: 111.131, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 110.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.5948, kappa: 0.1898, kb_relative_information_score: 120.6856, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.595, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1865.6428, usercpu_time_millis: 107.635, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 106.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 74.8004, mean_absolute_error: 0.4743, 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: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1871.5019, usercpu_time_millis: 110.023, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 108.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.5357, kappa: 0.0743, kb_relative_information_score: 31.2955, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5376, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1858.7584, usercpu_time_millis: 86.703, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 86.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 87.9447, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5809, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1864.2071, usercpu_time_millis: 64.178, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 63.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 44.4185, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1969.2847, usercpu_time_millis: 54.37, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 53.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 68.1477, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5743, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 2148.9626, usercpu_time_millis: 52.037, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 51.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.508, kappa: 0.0165, kb_relative_information_score: 2.3682, mean_absolute_error: 0.4992, 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: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 1865.7643, usercpu_time_millis: 25.162, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 24.784,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.5307, kappa: 0.0644, kb_relative_information_score: 25.2166, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5326, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1868.2531, usercpu_time_millis: 25.502, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 25.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.505, kappa: 0.0165, kb_relative_information_score: 15.9274, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5085, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1852.6691, usercpu_time_millis: 15.9, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 15.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: 0.0019, 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: 1838.2865, usercpu_time_millis: 2.288, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 1.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5593, kappa: 0.1188, kb_relative_information_score: 53.483, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5595, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1917.8125, usercpu_time_millis: 16.595, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 16.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5212, kappa: 0.0446, kb_relative_information_score: 5.5026, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5225, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1876.8796, usercpu_time_millis: 3.205, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 2.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0102, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, 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: 1979.8123, usercpu_time_millis: 1.599, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.5478, kappa: 0.0957, kb_relative_information_score: 51.9855, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5479, predictive_accuracy: 0.5479, prior_entropy: 1, recall: 0.5479, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1746.2876, usercpu_time_millis: 202.165, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 201.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.5588, kappa: 0.1188, kb_relative_information_score: 51.3669, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5598, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1792.9452, usercpu_time_millis: 144.887, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 144.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.5319, kappa: 0.0644, kb_relative_information_score: 37.8859, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5322, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1848.2313, usercpu_time_millis: 43.955, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 43.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.527, kappa: 0.0545, kb_relative_information_score: 31.2406, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, 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: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1857.5988, usercpu_time_millis: 35.944, usercpu_time_millis_testing: 0.403, usercpu_time_millis_training: 35.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5153, f_measure: 0.512, kappa: 0.0248, kb_relative_information_score: 4.1937, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5124, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1761.6056, usercpu_time_millis: 14.204, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 14.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 82.2825, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5759, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025, scimark_benchmark: 1852.7446, usercpu_time_millis: 354.463, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 353.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 74.4835, mean_absolute_error: 0.4745, 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: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1860.5287, usercpu_time_millis: 173.732, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 172.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5263, kappa: 0.0561, kb_relative_information_score: 17.7313, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5285, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1868.3809, usercpu_time_millis: 96.595, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 95.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6028, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 78.6311, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5801, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1743.0089, usercpu_time_millis: 83.131, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 82.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5278, kappa: 0.0561, kb_relative_information_score: 30.3278, mean_absolute_error: 0.4899, 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: 0.9799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1752.8044, usercpu_time_millis: 19.748, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 18.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 65.3565, mean_absolute_error: 0.4777, 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: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1859.4255, usercpu_time_millis: 21.32, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 20.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.523, kappa: 0.0462, kb_relative_information_score: 27.8803, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5231, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1867.725, usercpu_time_millis: 19.597, usercpu_time_millis_testing: 0.427, usercpu_time_millis_training: 19.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.584, kappa: 0.1683, kb_relative_information_score: 94.6505, mean_absolute_error: 0.4665, 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: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0033, scimark_benchmark: 1769.7188, usercpu_time_millis: 689.334, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 687.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5922, kappa: 0.1848, kb_relative_information_score: 111.4889, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5926, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1869.6309, usercpu_time_millis: 434.536, usercpu_time_millis_testing: 1.507, usercpu_time_millis_training: 433.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.5881, kappa: 0.1766, kb_relative_information_score: 89.3308, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5885, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1751.3544, usercpu_time_millis: 187.799, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 186.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5675, kappa: 0.1353, kb_relative_information_score: 57.7197, mean_absolute_error: 0.4807, 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: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 2065.7563, usercpu_time_millis: 141.745, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 140.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5665, f_measure: 0.5404, kappa: 0.0809, kb_relative_information_score: 40.1179, mean_absolute_error: 0.4865, 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: 0.973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1874.4489, usercpu_time_millis: 134.872, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 134.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5251, kappa: 0.0545, kb_relative_information_score: 21.6177, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5277, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1744.6732, usercpu_time_millis: 104.09, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 103.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 90.8337, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1732.1062, usercpu_time_millis: 79.653, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 79.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 69.6271, mean_absolute_error: 0.4765, 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: 0.9529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1866.0068, usercpu_time_millis: 70.793, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 70.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.5181, kappa: 0.0413, kb_relative_information_score: 12.0042, mean_absolute_error: 0.4962, 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: 0.9924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1749.5206, usercpu_time_millis: 62.29, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 61.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 90.9842, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1856.364, usercpu_time_millis: 59.084, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 58.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.5748, kappa: 0.1502, kb_relative_information_score: 77.0812, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5753, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9889, scimark_benchmark: 1869.8223, usercpu_time_millis: 36.625, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 36.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5056, kappa: 0.0182, kb_relative_information_score: 15.2528, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1728.9116, usercpu_time_millis: 28.591, usercpu_time_millis_testing: 0.656, usercpu_time_millis_training: 27.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.52, kappa: 0.0462, kb_relative_information_score: 10.3815, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5237, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9988, scimark_benchmark: 1871.2001, usercpu_time_millis: 25.372, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 24.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5206, kappa: 0.0429, kb_relative_information_score: 28.4388, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5216, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029, scimark_benchmark: 1867.6581, usercpu_time_millis: 11.838, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 10.921,

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