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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: 0.6123, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 85.0085, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5851, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9877, scimark_benchmark: 1360.7525, usercpu_time_millis: 81.95, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 81.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.021, 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: 1396.7703, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.5511, kappa: 0.1023, kb_relative_information_score: 55.6151, mean_absolute_error: 0.4811, 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: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1402.177, usercpu_time_millis: 43.99, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 43.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.5442, kappa: 0.0891, kb_relative_information_score: 29.1429, mean_absolute_error: 0.4907, 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: 0.9814, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1410.8894, usercpu_time_millis: 45.65, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 45.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.5478, kappa: 0.0957, kb_relative_information_score: 49.7522, mean_absolute_error: 0.4832, 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: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1375.5593, usercpu_time_millis: 21.6, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 21.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.5346, kappa: 0.0726, kb_relative_information_score: 21.1694, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5369, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1737.14, usercpu_time_millis: 229.682, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 228.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.5858, kappa: 0.1716, kb_relative_information_score: 128.1734, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5859, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0061, scimark_benchmark: 1870.8114, usercpu_time_millis: 185.702, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 184.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5469, kappa: 0.0941, kb_relative_information_score: 50.4302, mean_absolute_error: 0.483, 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: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1869.8223, usercpu_time_millis: 181.995, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 181.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6167, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 98.265, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1754.6748, usercpu_time_millis: 144.344, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 143.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.56, kappa: 0.1205, kb_relative_information_score: 53.9743, mean_absolute_error: 0.482, 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: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1710.3579, usercpu_time_millis: 159.312, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 158.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, f_measure: 0.5223, kappa: 0.0479, kb_relative_information_score: 12.7665, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5243, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 2172.3157, usercpu_time_millis: 78.142, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 77.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 61.5726, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1862.7163, usercpu_time_millis: 42.62, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 42.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.5932, kappa: 0.1865, kb_relative_information_score: 102.1794, mean_absolute_error: 0.4643, 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: 0.9287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1737.5952, usercpu_time_millis: 34.153, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 34.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.5169, kappa: 0.0396, kb_relative_information_score: 10.7368, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5203, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1872.0299, usercpu_time_millis: 22.438, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 22.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5163, kappa: 0.0363, kb_relative_information_score: 15.2674, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5184, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 2165.8176, usercpu_time_millis: 30.653, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 29.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.5229, kappa: 0.0462, kb_relative_information_score: 5.0312, mean_absolute_error: 0.4985, 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: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, scimark_benchmark: 1975.7313, usercpu_time_millis: 29.938, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 29.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5069, kappa: 0.0182, kb_relative_information_score: 9.829, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5092, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1755.1395, usercpu_time_millis: 10.937, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 10.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.5194, kappa: 0.0429, kb_relative_information_score: 20.1694, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5218, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1877.2162, usercpu_time_millis: 26.729, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 26.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.5192, kappa: 0.0413, kb_relative_information_score: 6.191, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5209, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9999, scimark_benchmark: 1867.725, usercpu_time_millis: 16.458, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 16.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5232, kappa: 0.0495, kb_relative_information_score: 9.2139, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1845.7221, usercpu_time_millis: 18.461, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 18.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.5396, kappa: 0.0792, kb_relative_information_score: 45.7535, mean_absolute_error: 0.4845, 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: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, scimark_benchmark: 1029.3487, usercpu_time_millis: 7.442, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 6.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.594, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 74.1809, mean_absolute_error: 0.4745, 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: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1917.806, usercpu_time_millis: 6.597, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 6.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0118, 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: 2171.9091, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0146, 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: 1868.2531, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0119, 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: 1738.228, usercpu_time_millis: 0.507, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.5731, kappa: 0.1469, kb_relative_information_score: 82.1019, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5737, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1915.9123, usercpu_time_millis: 262.211, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 261.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.5823, kappa: 0.165, kb_relative_information_score: 90.77, mean_absolute_error: 0.4687, 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: 0.9373, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9885, scimark_benchmark: 1857.6204, usercpu_time_millis: 259.044, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 258.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5799, kappa: 0.1601, kb_relative_information_score: 120.9129, mean_absolute_error: 0.4556, 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: 0.9112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0123, scimark_benchmark: 1871.5019, usercpu_time_millis: 228.884, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 227.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.5502, kappa: 0.1007, kb_relative_information_score: 52.0933, mean_absolute_error: 0.4825, 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: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1872.4881, usercpu_time_millis: 197.177, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 196.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.584, kappa: 0.1683, kb_relative_information_score: 131.2002, mean_absolute_error: 0.4518, 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: 0.9035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0101, scimark_benchmark: 1868.7112, usercpu_time_millis: 162.847, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 162.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 62.1475, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1854.0849, usercpu_time_millis: 150.104, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 149.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, f_measure: 0.5272, kappa: 0.0594, kb_relative_information_score: 13.7073, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5303, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1847.7832, usercpu_time_millis: 139.091, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 138.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5436, kappa: 0.0875, kb_relative_information_score: 41.7188, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5438, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1872.0299, usercpu_time_millis: 135.486, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 134.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6244, f_measure: 0.5964, kappa: 0.1931, kb_relative_information_score: 122.6586, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5967, predictive_accuracy: 0.5965, prior_entropy: 1, recall: 0.5965, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1874.0573, usercpu_time_millis: 102.431, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 101.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5338, f_measure: 0.5181, kappa: 0.0413, kb_relative_information_score: 13.3359, mean_absolute_error: 0.4958, 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: 0.9917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9972, scimark_benchmark: 1849.0255, usercpu_time_millis: 72.003, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 71.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5634, kappa: 0.1271, kb_relative_information_score: 53.8805, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5636, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9926, scimark_benchmark: 1869.2422, usercpu_time_millis: 56.007, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 55.583,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.5306, kappa: 0.0627, kb_relative_information_score: 38.0396, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5316, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1870.3532, usercpu_time_millis: 184.934, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 184.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 61.0545, mean_absolute_error: 0.4793, 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: 0.9585, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1873.4078, usercpu_time_millis: 155.971, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 155.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.594, kappa: 0.1881, kb_relative_information_score: 108.7295, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5941, predictive_accuracy: 0.5941, prior_entropy: 1, recall: 0.5941, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9902, scimark_benchmark: 1870.9768, usercpu_time_millis: 59.765, usercpu_time_millis_testing: 1.542, usercpu_time_millis_training: 58.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5363, kappa: 0.0726, kb_relative_information_score: 29.8873, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0074, scimark_benchmark: 2158.4827, usercpu_time_millis: 18.566, usercpu_time_millis_testing: 1.551, usercpu_time_millis_training: 17.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 77.4186, mean_absolute_error: 0.4736, 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: 0.9472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1870.8114, usercpu_time_millis: 29.253, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 28.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 108.3098, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5777, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0076, scimark_benchmark: 1866.2224, usercpu_time_millis: 26.259, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 26.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5885, f_measure: 0.5676, kappa: 0.1353, kb_relative_information_score: 61.3937, mean_absolute_error: 0.4792, 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: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1874.1301, usercpu_time_millis: 50.503, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 50.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6087, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 101.9498, mean_absolute_error: 0.4635, 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: 0.9271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002, scimark_benchmark: 1868.784, usercpu_time_millis: 45.227, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 44.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.5136, kappa: 0.0297, kb_relative_information_score: 5.5785, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.515, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1867.2698, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5395, kappa: 0.0809, kb_relative_information_score: 35.4992, mean_absolute_error: 0.4884, 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: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1869.2942, usercpu_time_millis: 32.819, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 32.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5362, kappa: 0.0726, kb_relative_information_score: 43.0785, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5363, predictive_accuracy: 0.5363, prior_entropy: 1, recall: 0.5363, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1866.2865, usercpu_time_millis: 50.827, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 50.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 59.2701, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1863.9731, usercpu_time_millis: 33.712, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 32.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, f_measure: 0.513, kappa: 0.0297, kb_relative_information_score: 12.8041, mean_absolute_error: 0.4959, 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: 0.9919, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1871.9601, usercpu_time_millis: 22.871, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 22.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.4958, kappa: 0.0017, kb_relative_information_score: -0.0005, 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: 1871.0467, usercpu_time_millis: 1.817, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.5251, kappa: 0.0545, kb_relative_information_score: 11.3578, mean_absolute_error: 0.4965, 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: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1104.4969, usercpu_time_millis: 9.204, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 9.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6177, f_measure: 0.5906, kappa: 0.1815, kb_relative_information_score: 96.5667, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5909, predictive_accuracy: 0.5908, prior_entropy: 1, recall: 0.5908, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1829.83, usercpu_time_millis: 251.903, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 251.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 82.3005, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1864.0845, usercpu_time_millis: 172.313, usercpu_time_millis_testing: 1.116, usercpu_time_millis_training: 171.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 92.7439, mean_absolute_error: 0.4648, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5553, predictive_accuracy: 0.5553, prior_entropy: 1, recall: 0.5553, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5451, root_relative_squared_error: 1.0902, scimark_benchmark: 1369.9613, usercpu_time_millis: 765.876, usercpu_time_millis_testing: 1.501, usercpu_time_millis_training: 764.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5593, f_measure: 0.5289, kappa: 0.0611, kb_relative_information_score: 26.7896, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.531, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1866.5348, usercpu_time_millis: 33.307, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 33.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4498, kappa: -0.0017, kb_relative_information_score: -0.0077, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4987, 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: 1748.0617, usercpu_time_millis: 1.799, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5301, kappa: 0.066, kb_relative_information_score: 9.3788, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5339, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1860.0755, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.5195, kappa: 0.0429, kb_relative_information_score: 15.1117, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5218, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9969, scimark_benchmark: 1356.0727, usercpu_time_millis: 60.35, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 59.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 61.1472, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9584, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1364.7888, usercpu_time_millis: 5.049, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 4.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.5278, kappa: 0.0561, kb_relative_information_score: 34.3551, mean_absolute_error: 0.4884, 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: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1362.0639, usercpu_time_millis: 27.941, usercpu_time_millis_testing: 1.714, usercpu_time_millis_training: 26.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.6038, kappa: 0.2079, kb_relative_information_score: 129.3943, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6042, predictive_accuracy: 0.604, prior_entropy: 1, recall: 0.604, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 1364.7718, usercpu_time_millis: 78.831, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 78.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 60.1972, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1357.7873, usercpu_time_millis: 45.15, usercpu_time_millis_testing: 1.286, usercpu_time_millis_training: 43.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 57.6894, mean_absolute_error: 0.4806, 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: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1360.3706, usercpu_time_millis: 21.654, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 20.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.5129, kappa: 0.0264, kb_relative_information_score: 3.3977, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5132, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1356.4867, usercpu_time_millis: 20.257, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 19.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5426, kappa: 0.0858, kb_relative_information_score: 42.2693, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1359.5201, usercpu_time_millis: 62.517, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 61.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5428, kappa: 0.0858, kb_relative_information_score: 45.5116, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1367.7144, usercpu_time_millis: 70.966, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 70.36,

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