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: 0.4977, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0103, 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: 1868.9657, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5814, kappa: 0.1634, kb_relative_information_score: 87.632, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5819, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1937.5335, usercpu_time_millis: 356.905, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 355.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.5565, kappa: 0.1155, kb_relative_information_score: 35.3417, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5584, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1874.977, usercpu_time_millis: 351.022, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 350.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.574, kappa: 0.1485, kb_relative_information_score: 100.1668, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5744, predictive_accuracy: 0.5743, prior_entropy: 1, recall: 0.5743, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0109, scimark_benchmark: 1728.9126, usercpu_time_millis: 346.944, usercpu_time_millis_testing: 0.989, usercpu_time_millis_training: 345.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 68.3066, mean_absolute_error: 0.4766, 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: 0.9532, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1870.6721, usercpu_time_millis: 341.626, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 340.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.5929, kappa: 0.1865, kb_relative_information_score: 107.7514, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5935, predictive_accuracy: 0.5932, prior_entropy: 1, recall: 0.5932, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1851.1845, usercpu_time_millis: 317.319, usercpu_time_millis_testing: 0.711, usercpu_time_millis_training: 316.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 81.4156, mean_absolute_error: 0.4721, 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: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9899, scimark_benchmark: 1870.6721, usercpu_time_millis: 293.406, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 292.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 68.3098, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5701, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1849.0149, usercpu_time_millis: 156.669, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 156.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5503, kappa: 0.1007, kb_relative_information_score: 54.822, mean_absolute_error: 0.4816, 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: 0.9631, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9937, scimark_benchmark: 1847.4288, usercpu_time_millis: 155.214, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 154.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.5354, kappa: 0.0743, kb_relative_information_score: 23.2205, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5377, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1874.977, usercpu_time_millis: 146.447, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 145.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5652, kappa: 0.1304, kb_relative_information_score: 70.964, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9971, scimark_benchmark: 1866.1679, usercpu_time_millis: 120.742, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 120.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, f_measure: 0.5293, kappa: 0.0594, kb_relative_information_score: 10.6698, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5298, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 1873.9908, usercpu_time_millis: 117.047, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 116.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5468, kappa: 0.0941, kb_relative_information_score: 44.3592, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5471, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1868.7112, usercpu_time_millis: 98.601, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 97.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, f_measure: 0.5781, kappa: 0.1568, kb_relative_information_score: 77.8595, mean_absolute_error: 0.4735, 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: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9885, scimark_benchmark: 1848.5201, usercpu_time_millis: 95.155, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 94.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5983, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 74.4797, mean_absolute_error: 0.4745, 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: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1869.1727, usercpu_time_millis: 92.55, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 92.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5389, kappa: 0.0809, kb_relative_information_score: 26.3439, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.541, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1872.8797, usercpu_time_millis: 69.89, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 69.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 73.2488, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5827, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1862.5409, usercpu_time_millis: 65.111, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 64.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5361, kappa: 0.0726, kb_relative_information_score: 36.3643, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5364, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1874.977, usercpu_time_millis: 65.093, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 64.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5485, kappa: 0.0974, kb_relative_information_score: 46.2614, mean_absolute_error: 0.4844, 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: 0.9689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1850.6897, usercpu_time_millis: 37.458, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 37.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5115, kappa: 0.0297, kb_relative_information_score: 16.3441, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5153, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1872.0299, usercpu_time_millis: 33.848, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 33.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.5213, kappa: 0.0429, kb_relative_information_score: 4.3208, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1863.8256, usercpu_time_millis: 13.341, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 12.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.547, kappa: 0.0941, kb_relative_information_score: 39.8647, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.547, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1863.1842, usercpu_time_millis: 7.743, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 7.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 74.7309, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1826.4671, usercpu_time_millis: 21.927, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 21.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5264, kappa: 0.0528, kb_relative_information_score: 5.2889, mean_absolute_error: 0.4984, 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: 0.9968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1858.5348, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.5211, kappa: 0.0479, kb_relative_information_score: 10.835, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5245, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1833.8924, usercpu_time_millis: 16.249, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 15.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5217, kappa: 0.0462, kb_relative_information_score: 10.0037, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5234, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1873.4078, usercpu_time_millis: 7.126, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 7.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0098, 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: 1863.9794, usercpu_time_millis: 1.454, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4792, kb_relative_information_score: -0.0038, 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: 1863.066, usercpu_time_millis: 2.122, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0033, 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: 1.857, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.5084, kappa: 0.0215, kb_relative_information_score: 11.3249, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5109, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, scimark_benchmark: 1873.0711, usercpu_time_millis: 0.643, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5104, kappa: 0.0215, kb_relative_information_score: 8.9819, mean_absolute_error: 0.4972, 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: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.529, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6018, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 90.0631, mean_absolute_error: 0.4685, 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: 0.9369, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021, scimark_benchmark: 1842.5816, usercpu_time_millis: 423.54, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 421.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.5533, kappa: 0.1073, kb_relative_information_score: 42.6909, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5538, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1869.2422, usercpu_time_millis: 341.186, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 340.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5808, kappa: 0.1617, kb_relative_information_score: 128.9969, mean_absolute_error: 0.4516, 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: 0.9032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0304, scimark_benchmark: 1849.6158, usercpu_time_millis: 329.832, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 329.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 105.5235, mean_absolute_error: 0.4624, 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: 0.9248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1871.9601, usercpu_time_millis: 251.375, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 249.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5527, kappa: 0.1056, kb_relative_information_score: 51.9916, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5528, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1761.8411, usercpu_time_millis: 166.01, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 165.457,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.5841, kappa: 0.1683, kb_relative_information_score: 129.6753, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5842, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.0055, scimark_benchmark: 1375.7636, usercpu_time_millis: 350.243, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 348.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 108.206, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5512, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5539, root_relative_squared_error: 1.1079, scimark_benchmark: 1381.4639, usercpu_time_millis: 1.237, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5298, kappa: 0.0611, kb_relative_information_score: 34.1664, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5307, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1373.1012, usercpu_time_millis: 45.571, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 44.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5259, kappa: 0.0545, kb_relative_information_score: 30.1659, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5275, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1372.8505, usercpu_time_millis: 11.148, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 11.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.598, kappa: 0.1964, kb_relative_information_score: 111.3085, mean_absolute_error: 0.4604, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5984, predictive_accuracy: 0.5982, prior_entropy: 1, recall: 0.5982, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1376.7001, usercpu_time_millis: 340.89, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 339.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 57.5857, mean_absolute_error: 0.4807, 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: 0.9614, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1382.44, usercpu_time_millis: 181.081, usercpu_time_millis_testing: 0.653, usercpu_time_millis_training: 180.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.5127, kappa: 0.0297, kb_relative_information_score: 10.3683, mean_absolute_error: 0.4967, 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: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1385.2111, usercpu_time_millis: 56.619, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 56.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5017, kappa: 0.0033, kb_relative_information_score: 0.0012, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5017, predictive_accuracy: 0.5017, prior_entropy: 1, recall: 0.5017, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1373.9018, usercpu_time_millis: 2.24, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5724, kappa: 0.1452, kb_relative_information_score: 63.7055, mean_absolute_error: 0.4786, 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: 0.9572, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1373.4263, usercpu_time_millis: 63.001, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 62.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5239, kappa: 0.0479, kb_relative_information_score: 28.7141, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5239, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1379.0838, usercpu_time_millis: 80.785, usercpu_time_millis_testing: 0.733, usercpu_time_millis_training: 80.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.5845, kappa: 0.17, kb_relative_information_score: 96.4589, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5854, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1378.552, usercpu_time_millis: 372.309, usercpu_time_millis_testing: 1.023, usercpu_time_millis_training: 371.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0125, 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: 1374.3311, usercpu_time_millis: 2.256, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 1.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.5308, kappa: 0.0627, kb_relative_information_score: 36.8471, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5315, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1380.8783, usercpu_time_millis: 84.813, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 84.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0123, 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: 1372.8055, usercpu_time_millis: 1.651, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5759, kappa: 0.1518, kb_relative_information_score: 78.5033, mean_absolute_error: 0.473, 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: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1362.8059, usercpu_time_millis: 250.52, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 249.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5749, kappa: 0.1502, kb_relative_information_score: 79.778, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5752, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1378.0608, usercpu_time_millis: 387.492, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 386.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 59.3235, mean_absolute_error: 0.4799, 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: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955, scimark_benchmark: 1377.9938, usercpu_time_millis: 146.682, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 145.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5828, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 56.008, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5512, predictive_accuracy: 0.5512, prior_entropy: 1, recall: 0.5512, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1378.181, usercpu_time_millis: 16.67, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 16.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.5148, kappa: 0.0347, kb_relative_information_score: 18.7546, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5177, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1376.0729, usercpu_time_millis: 55.104, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 54.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0155, 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: 1373.5316, usercpu_time_millis: 2.17, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6156, f_measure: 0.5861, kappa: 0.1733, kb_relative_information_score: 101.1931, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5871, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1373.9996, usercpu_time_millis: 601.068, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 599.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.5829, kappa: 0.1667, kb_relative_information_score: 96.9418, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5836, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1386.1689, usercpu_time_millis: 159.613, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 158.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5692, kappa: 0.1386, kb_relative_information_score: 80.4365, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1375.7411, usercpu_time_millis: 83.353, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 82.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5536, kappa: 0.1073, kb_relative_information_score: 53.9923, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5537, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1374.3901, usercpu_time_millis: 50.856, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 50.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.5821, kappa: 0.165, kb_relative_information_score: 95.3344, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5829, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9931, scimark_benchmark: 1376.5238, usercpu_time_millis: 247.565, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 246.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 95.464, mean_absolute_error: 0.4664, 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: 0.9328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1374.3112, usercpu_time_millis: 366.117, usercpu_time_millis_testing: 1.218, usercpu_time_millis_training: 364.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5551, kappa: 0.1106, kb_relative_information_score: 59.0866, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5554, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9908, scimark_benchmark: 1367.7354, usercpu_time_millis: 204.069, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 202.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.5594, kappa: 0.1188, kb_relative_information_score: 84.3951, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5594, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0121, scimark_benchmark: 1372.4488, usercpu_time_millis: 83.49, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 83.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.5245, kappa: 0.0512, kb_relative_information_score: 9.574, mean_absolute_error: 0.4971, 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: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1372.5992, usercpu_time_millis: 47.689, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 47.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.556, kappa: 0.1122, kb_relative_information_score: 53.5115, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5562, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1377.7953, usercpu_time_millis: 67.785, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 66.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5314, kappa: 0.0644, kb_relative_information_score: 30.8387, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5324, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1381.9971, usercpu_time_millis: 54.137, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 53.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.5846, kappa: 0.17, kb_relative_information_score: 94.3959, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5853, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1377.9274, usercpu_time_millis: 243.149, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 242.163,

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