Task
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: 0.5887, f_measure: 0.5583, kappa: 0.1172, kb_relative_information_score: 52.5645, mean_absolute_error: 0.4823, 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: 0.9647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9863, scimark_benchmark: 1864.5074, usercpu_time_millis: 85.818, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 84.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.5568, kappa: 0.1139, kb_relative_information_score: 51.5331, mean_absolute_error: 0.4826, 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: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1825.2596, usercpu_time_millis: 55.878, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 55.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5809, kappa: 0.1617, kb_relative_information_score: 73.7345, mean_absolute_error: 0.4749, 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: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1844.8273, usercpu_time_millis: 99.669, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 99.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5503, kappa: 0.1007, kb_relative_information_score: 53.1077, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5503, predictive_accuracy: 0.5503, prior_entropy: 1, recall: 0.5503, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1871.2001, usercpu_time_millis: 91.698, usercpu_time_millis_testing: 1.111, usercpu_time_millis_training: 90.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.5374, kappa: 0.0776, kb_relative_information_score: 28.7899, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5393, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1871.9601, usercpu_time_millis: 55.753, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 55.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5892, f_measure: 0.5617, kappa: 0.1238, kb_relative_information_score: 95.9498, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.562, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0318, scimark_benchmark: 1866.9264, usercpu_time_millis: 77.877, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 77.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 116.9302, mean_absolute_error: 0.457, 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: 0.9141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0199, scimark_benchmark: 1869.1727, usercpu_time_millis: 100.343, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 100.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.524, kappa: 0.0528, kb_relative_information_score: 13.4183, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5269, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1869.2942, usercpu_time_millis: 86.96, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 86.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.5898, kappa: 0.1799, kb_relative_information_score: 102.7796, mean_absolute_error: 0.4644, 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: 0.9287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9843, scimark_benchmark: 1861.7123, usercpu_time_millis: 109.683, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 108.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 83.7242, mean_absolute_error: 0.471, 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: 0.9421, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1849.1812, usercpu_time_millis: 94.38, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 93.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 66.8398, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5868, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 1859.017, usercpu_time_millis: 92.061, usercpu_time_millis_testing: 1.343, usercpu_time_millis_training: 90.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.587, kappa: 0.1749, kb_relative_information_score: 96.0317, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5878, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1923.3866, usercpu_time_millis: 109.787, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 109.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 62.2419, mean_absolute_error: 0.4789, 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: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9875, scimark_benchmark: 1834.1671, usercpu_time_millis: 137.532, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 136.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.5723, kappa: 0.1452, kb_relative_information_score: 93.4411, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5728, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1866.9264, usercpu_time_millis: 164.493, usercpu_time_millis_testing: 2.208, usercpu_time_millis_training: 162.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5515, kappa: 0.1073, kb_relative_information_score: 33.6227, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5547, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1861.1843, usercpu_time_millis: 140.962, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 140.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.5323, kappa: 0.066, kb_relative_information_score: 39.7035, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5332, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1872.0299, usercpu_time_millis: 137.934, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 137.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, f_measure: 0.5413, kappa: 0.0858, kb_relative_information_score: 28.7471, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5435, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1870.2804, usercpu_time_millis: 170.462, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 169.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 92.3691, mean_absolute_error: 0.468, 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: 0.936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1873.9908, usercpu_time_millis: 159.522, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 158.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 101.4114, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9862, scimark_benchmark: 1821.8602, usercpu_time_millis: 193.874, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 192.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 102.5913, mean_absolute_error: 0.4636, 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: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1874.977, usercpu_time_millis: 72.062, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 70.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5404, kappa: 0.0825, kb_relative_information_score: 41.0963, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5416, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1661.927, usercpu_time_millis: 141.688, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 140.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 54.1343, mean_absolute_error: 0.4818, 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: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1825.2596, usercpu_time_millis: 121.861, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 121.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5677, kappa: 0.1353, kb_relative_information_score: 60.8111, mean_absolute_error: 0.4794, 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: 0.9588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9866, scimark_benchmark: 1872.4216, usercpu_time_millis: 139.58, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 138.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 58.369, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1872.8797, usercpu_time_millis: 136.937, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 136.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5874, kappa: 0.1749, kb_relative_information_score: 85.9404, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5875, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9783, scimark_benchmark: 1833.5175, usercpu_time_millis: 128.084, usercpu_time_millis_testing: 1.115, usercpu_time_millis_training: 126.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 77.3005, mean_absolute_error: 0.473, 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: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0049, scimark_benchmark: 1844.0458, usercpu_time_millis: 316.598, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 315.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 74.8655, mean_absolute_error: 0.4736, 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: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0166, scimark_benchmark: 1841.9606, usercpu_time_millis: 318.997, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 318.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.5689, kappa: 0.1386, kb_relative_information_score: 48.5334, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5696, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1866.0242, usercpu_time_millis: 361.505, usercpu_time_millis_testing: 1.14, usercpu_time_millis_training: 360.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5599, kappa: 0.1205, kb_relative_information_score: 48.1725, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5604, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1830.0638, usercpu_time_millis: 233.754, usercpu_time_millis_testing: 1.07, usercpu_time_millis_training: 232.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 71.2044, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5635, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0055, scimark_benchmark: 1872.8797, usercpu_time_millis: 234.42, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 233.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.5667, kappa: 0.1337, kb_relative_information_score: 84.327, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5669, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0093, scimark_benchmark: 1873.4805, usercpu_time_millis: 212.383, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 211.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 62.4118, mean_absolute_error: 0.4791, 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: 0.9582, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1787.6491, usercpu_time_millis: 256.976, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 256.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.5687, kappa: 0.1386, kb_relative_information_score: 46.7622, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5697, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877, scimark_benchmark: 1787.6491, usercpu_time_millis: 229.754, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 229.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 69.3444, mean_absolute_error: 0.4764, 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: 0.9528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1822.3911, usercpu_time_millis: 229.036, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 228.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.545, kappa: 0.0908, kb_relative_information_score: 46.8861, mean_absolute_error: 0.4843, 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: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9919, scimark_benchmark: 1850.7491, usercpu_time_millis: 237.14, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 236.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0099, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, 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: 1869.7037, usercpu_time_millis: 0.792, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5932, kappa: 0.1865, kb_relative_information_score: 124.4483, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5933, predictive_accuracy: 0.5932, prior_entropy: 1, recall: 0.5932, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0045, scimark_benchmark: 1780.349, usercpu_time_millis: 22.907, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 22.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5649, kappa: 0.132, kb_relative_information_score: 57.978, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5667, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9821, scimark_benchmark: 1868.1832, usercpu_time_millis: 13.701, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 13.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.5157, kappa: 0.0347, kb_relative_information_score: 9.9242, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5176, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1845.7061, usercpu_time_millis: 38.402, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 38.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.5891, kappa: 0.1782, kb_relative_information_score: 91.9774, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5892, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.9791, scimark_benchmark: 1794.2969, usercpu_time_millis: 31.32, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 31.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5058, kappa: 0.0198, kb_relative_information_score: 16.3471, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5102, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1874.977, usercpu_time_millis: 9.665, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 8.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5462, kappa: 0.0924, kb_relative_information_score: 40.7693, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5462, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.003, scimark_benchmark: 1872.4881, usercpu_time_millis: 10.259, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 9.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0145, 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: 1870.2139, usercpu_time_millis: 0.798, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0249, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, 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: 1874.5188, usercpu_time_millis: 1.35, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0058, 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: 1855.3627, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0359, 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: 1842.6679, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0176, 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: 1843.1261, usercpu_time_millis: 0.773, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5263, kappa: 0.0528, kb_relative_information_score: 5.8799, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5264, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1871.2001, usercpu_time_millis: 12.761, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 12.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.5396, kappa: 0.0792, kb_relative_information_score: 41.2474, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5396, predictive_accuracy: 0.5396, prior_entropy: 1, recall: 0.5396, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1876.3774, usercpu_time_millis: 3.442, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 3.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.5185, kappa: 0.0413, kb_relative_information_score: 22.1417, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.521, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1855.4148, usercpu_time_millis: 12.988, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 12.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0095, 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: 1869.6888, usercpu_time_millis: 1.689, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5148, kappa: 0.033, kb_relative_information_score: 7.8643, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5167, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1836.0835, usercpu_time_millis: 1.833, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5184, f_measure: 0.502, kappa: 0.0099, kb_relative_information_score: 13.7426, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5051, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1849.12, usercpu_time_millis: 21.959, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 21.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5158, kappa: 0.0363, kb_relative_information_score: 9.4723, mean_absolute_error: 0.4971, 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: 0.9941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9994, scimark_benchmark: 1823.238, usercpu_time_millis: 3.895, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 3.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0039, 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: 1869.6309, usercpu_time_millis: 2.353, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 73.4313, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.571, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9843, scimark_benchmark: 1842.6679, usercpu_time_millis: 23.459, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 23.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5185, kappa: 0.038, kb_relative_information_score: 29.0605, mean_absolute_error: 0.4902, 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: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1784.5756, usercpu_time_millis: 5.993, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 5.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0072, 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: 1873.0711, usercpu_time_millis: 0.671, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.5154, kappa: 0.0314, kb_relative_information_score: 1.9961, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5157, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1874.5188, usercpu_time_millis: 3.912, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 3.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5, kb_relative_information_score: -0.0007, 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: 1873.9908, usercpu_time_millis: 2.271, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0125, 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: 1869.6309, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0177, 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: 1873.087, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5245, kappa: 0.0512, kb_relative_information_score: 19.2817, mean_absolute_error: 0.4937, 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: 0.9874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, scimark_benchmark: 1867.4545, usercpu_time_millis: 0.519, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 94.3918, mean_absolute_error: 0.4673, 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: 0.9346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1852.7764, usercpu_time_millis: 19.538, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 19.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.493, kappa: -0.0033, kb_relative_information_score: 6.8453, mean_absolute_error: 0.4976, 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: 0.9953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1843.5876, usercpu_time_millis: 5.254, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 4.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.5094, kappa: 0.0198, kb_relative_information_score: 2.468, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5099, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0019, scimark_benchmark: 1872.4216, usercpu_time_millis: 13.612, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 13.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5153, kappa: 0.0347, kb_relative_information_score: 10.5049, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5176, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1869.1727, usercpu_time_millis: 13.224, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 12.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5126, kappa: 0.0297, kb_relative_information_score: 9.3669, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5151, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1868.1832, usercpu_time_millis: 4.565, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 4.446,

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