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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: 0.4988, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0051, 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: 1737.7077, usercpu_time_millis: 2.556, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5344, kappa: 0.071, kb_relative_information_score: 31.0794, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5358, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1843.657, usercpu_time_millis: 150.965, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 150.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5684, kappa: 0.137, kb_relative_information_score: 73.9183, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1731.1032, usercpu_time_millis: 113.892, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 113.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 74.4931, mean_absolute_error: 0.4746, 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: 0.9492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1752.4403, usercpu_time_millis: 117.965, usercpu_time_millis_testing: 0.894, usercpu_time_millis_training: 117.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5714, kappa: 0.1436, kb_relative_information_score: 88.8339, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.572, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1868.7112, usercpu_time_millis: 87.235, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 86.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, f_measure: 0.512, kappa: 0.0281, kb_relative_information_score: 11.9723, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5143, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1849.8294, usercpu_time_millis: 80.646, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 80.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.5783, kappa: 0.1568, kb_relative_information_score: 72.5125, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5784, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1755.0172, usercpu_time_millis: 58.166, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 57.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, f_measure: 0.5358, kappa: 0.0726, kb_relative_information_score: 43.3766, mean_absolute_error: 0.4854, 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: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1864.9656, usercpu_time_millis: 58.167, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 57.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, f_measure: 0.5169, kappa: 0.0396, kb_relative_information_score: 12.706, mean_absolute_error: 0.496, 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: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1869.6309, usercpu_time_millis: 50.903, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 50.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 79.928, mean_absolute_error: 0.4728, 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: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1860.7926, usercpu_time_millis: 43.601, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 42.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.5201, kappa: 0.0446, kb_relative_information_score: 9.5081, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5227, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1867.685, usercpu_time_millis: 30.253, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 29.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 72.6135, mean_absolute_error: 0.4753, 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: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1745.5953, usercpu_time_millis: 16.107, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 15.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.5191, kappa: 0.0429, kb_relative_information_score: 15.3107, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5219, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 1848.2722, usercpu_time_millis: 15.133, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 15.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5088, kappa: 0.0231, kb_relative_information_score: 9.8212, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5118, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9993, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.183, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 15.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.5237, kappa: 0.0479, kb_relative_information_score: 5.9382, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1852.9259, usercpu_time_millis: 13.01, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 12.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0103, 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: 1730.0156, usercpu_time_millis: 2.381, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 1.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5134, kappa: 0.0281, kb_relative_information_score: 3.3715, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5141, predictive_accuracy: 0.514, prior_entropy: 1, recall: 0.514, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1753.3033, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 2.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.5005, kappa: 0.005, kb_relative_information_score: 13.9608, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9983, scimark_benchmark: 1857.5664, usercpu_time_millis: 5.571, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 5.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5423, f_measure: 0.5159, kappa: 0.0363, kb_relative_information_score: 22.2981, mean_absolute_error: 0.4926, 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: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1859.2355, usercpu_time_millis: 3.218, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 3.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5227, kappa: 0.0462, kb_relative_information_score: 4.6137, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.426, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 3.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.5312, kappa: 0.0627, kb_relative_information_score: 27.2184, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5314, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0339, scimark_benchmark: 1867.1999, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 73.5435, mean_absolute_error: 0.4749, 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: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1751.6408, usercpu_time_millis: 305.594, usercpu_time_millis_testing: 0.901, usercpu_time_millis_training: 304.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.5863, kappa: 0.1733, kb_relative_information_score: 93.7848, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5869, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1773.5584, usercpu_time_millis: 264.702, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 264.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.5929, kappa: 0.1865, kb_relative_information_score: 111.5001, mean_absolute_error: 0.4601, 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: 0.9202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9982, scimark_benchmark: 1792.8414, usercpu_time_millis: 255.629, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 255.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.5732, kappa: 0.1469, kb_relative_information_score: 79.303, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5736, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1783.2932, usercpu_time_millis: 222.781, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 221.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 61.0522, mean_absolute_error: 0.4794, 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: 0.9589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1742.0696, usercpu_time_millis: 158.782, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 158.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 106.1223, mean_absolute_error: 0.4608, 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: 0.9217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5168, root_relative_squared_error: 1.0336, scimark_benchmark: 1755.4495, usercpu_time_millis: 99.625, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 99.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5361, kappa: 0.0726, kb_relative_information_score: 42.6373, mean_absolute_error: 0.4856, 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: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1779.8153, usercpu_time_millis: 81.578, usercpu_time_millis_testing: 0.756, usercpu_time_millis_training: 80.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 66.5119, mean_absolute_error: 0.4774, 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: 0.9548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1739.5897, usercpu_time_millis: 87.477, usercpu_time_millis_testing: 0.919, usercpu_time_millis_training: 86.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 47.8338, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5413, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1777.1429, usercpu_time_millis: 72.143, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 71.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.5182, kappa: 0.0429, kb_relative_information_score: 13.6786, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5221, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1745.25, usercpu_time_millis: 74.831, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 74.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.5334, kappa: 0.0677, kb_relative_information_score: 35.1841, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5339, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9977, scimark_benchmark: 1752.5038, usercpu_time_millis: 48.18, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 47.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 66.4341, mean_absolute_error: 0.4775, 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: 0.9551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1741.2194, usercpu_time_millis: 50.531, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 49.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 43.8773, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5463, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9941, scimark_benchmark: 1717.3032, usercpu_time_millis: 49.409, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 48.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5258, kappa: 0.0561, kb_relative_information_score: 23.8581, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5286, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1752.5038, usercpu_time_millis: 43.075, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 42.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6051, f_measure: 0.5899, kappa: 0.1799, kb_relative_information_score: 83.5733, mean_absolute_error: 0.4714, 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: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1829.1069, usercpu_time_millis: 43.271, usercpu_time_millis_testing: 1.814, usercpu_time_millis_training: 41.457,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 85.0398, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9884, scimark_benchmark: 1368.8916, usercpu_time_millis: 67.782, usercpu_time_millis_testing: 1.419, usercpu_time_millis_training: 66.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4516, kappa: 0.0017, kb_relative_information_score: -0.0006, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5013, 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: 1360.0024, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.5376, kappa: 0.0776, kb_relative_information_score: 45.8822, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5392, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0071, scimark_benchmark: 1370.9794, usercpu_time_millis: 96.547, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 96.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5141, kappa: 0.033, kb_relative_information_score: 11.9581, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5168, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1370.0794, usercpu_time_millis: 38.32, usercpu_time_millis_testing: 0.495, usercpu_time_millis_training: 37.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5116, f_measure: 0.5171, kappa: 0.0347, kb_relative_information_score: 3.5439, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5174, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1368.7324, usercpu_time_millis: 12.265, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 12.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.5756, kappa: 0.1518, kb_relative_information_score: 92.1742, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5761, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1367.579, usercpu_time_millis: 19.88, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 19.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.5633, kappa: 0.1271, kb_relative_information_score: 63.5945, mean_absolute_error: 0.4785, 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: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9901, scimark_benchmark: 1372.0917, usercpu_time_millis: 244.813, usercpu_time_millis_testing: 1.731, usercpu_time_millis_training: 243.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0259, 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: 1363.3311, usercpu_time_millis: 2.037, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0255, 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: 1366.136, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 74.0826, mean_absolute_error: 0.4749, 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: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9909, scimark_benchmark: 1372.3406, usercpu_time_millis: 90.022, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 89.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.525, kappa: 0.0512, kb_relative_information_score: 5.5754, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5257, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1374.6994, usercpu_time_millis: 54.771, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 54.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 89.8582, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1367.7567, usercpu_time_millis: 524.508, usercpu_time_millis_testing: 1.322, usercpu_time_millis_training: 523.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5782, kappa: 0.1568, kb_relative_information_score: 89.641, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5785, predictive_accuracy: 0.5784, prior_entropy: 1, recall: 0.5784, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1370.822, usercpu_time_millis: 24.45, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 24.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 76.0894, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5726, predictive_accuracy: 0.5726, prior_entropy: 1, recall: 0.5726, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1369.0754, usercpu_time_millis: 150.877, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 149.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5973, kappa: 0.1947, kb_relative_information_score: 98.0673, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5974, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.9323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1368.6476, usercpu_time_millis: 31.401, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 31.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, f_measure: 0.5235, kappa: 0.0479, kb_relative_information_score: 26.2812, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.524, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1366.6084, usercpu_time_millis: 11.795, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 11.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5528, kappa: 0.1056, kb_relative_information_score: 53.746, mean_absolute_error: 0.4818, 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: 0.9636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1370.7132, usercpu_time_millis: 79.412, usercpu_time_millis_testing: 0.772, usercpu_time_millis_training: 78.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5375, kappa: 0.0759, kb_relative_information_score: 36.2243, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5381, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1363.6306, usercpu_time_millis: 96.622, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 95.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.5129, kappa: 0.0297, kb_relative_information_score: 19.0224, mean_absolute_error: 0.4936, 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: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9993, scimark_benchmark: 1370.387, usercpu_time_millis: 59.347, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 58.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.005, 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: 1370.5274, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.5756, kappa: 0.1518, kb_relative_information_score: 84.4666, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5761, predictive_accuracy: 0.5759, prior_entropy: 1, recall: 0.5759, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9887, scimark_benchmark: 1365.4822, usercpu_time_millis: 113.074, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 112.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 76.2099, mean_absolute_error: 0.4736, 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: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1367.6654, usercpu_time_millis: 111.65, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 111.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5259, kappa: 0.0545, kb_relative_information_score: 26.2813, mean_absolute_error: 0.4912, 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: 0.9825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1375.9438, usercpu_time_millis: 107.712, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 106.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5379, f_measure: 0.5176, kappa: 0.0363, kb_relative_information_score: 23.3975, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5182, predictive_accuracy: 0.5182, prior_entropy: 1, recall: 0.5182, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.6657, usercpu_time_millis: 32.463, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 32.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5293, kappa: 0.0611, kb_relative_information_score: 28.605, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5308, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1362.0912, usercpu_time_millis: 154.794, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 154.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0207, 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: 1359.7874, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4498, kappa: -0.0017, kb_relative_information_score: -0.0053, 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: 1366.3375, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 76.6142, mean_absolute_error: 0.4736, 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: 0.9473, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1365.4658, usercpu_time_millis: 211.42, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 210.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5512, kappa: 0.1023, kb_relative_information_score: 39.5454, mean_absolute_error: 0.4868, 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: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0033, scimark_benchmark: 1370.3577, usercpu_time_millis: 10.288, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 9.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5056, kappa: 0.0182, kb_relative_information_score: 9.1451, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5093, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1367.6842, usercpu_time_millis: 4.082, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 3.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5048, kappa: 0.0149, kb_relative_information_score: 15.5781, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5076, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1368.5, usercpu_time_millis: 45.985, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 45.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5304, kappa: 0.0611, kb_relative_information_score: 17.85, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5306, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1371.7596, usercpu_time_millis: 0.948, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.867,

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