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: 0.5511, f_measure: 0.5397, kappa: 0.0809, kb_relative_information_score: 17.0683, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5407, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1761.8864, usercpu_time_millis: 203.54, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 202.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 87.5233, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1770.0503, usercpu_time_millis: 5.858, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 5.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5223, f_measure: 0.5089, kappa: 0.0198, kb_relative_information_score: 9.9212, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.51, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9997, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.692, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.5021, kappa: 0.0099, kb_relative_information_score: 9.4386, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5051, predictive_accuracy: 0.505, prior_entropy: 1, recall: 0.505, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1878.3273, usercpu_time_millis: 7.452, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 7.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5438, f_measure: 0.5195, kappa: 0.0429, kb_relative_information_score: 19.9451, mean_absolute_error: 0.4936, 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: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1815.2095, usercpu_time_millis: 20.138, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 19.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.5446, kappa: 0.0891, kb_relative_information_score: 40.955, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5446, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1790.384, usercpu_time_millis: 25.637, usercpu_time_millis_testing: 1.88, usercpu_time_millis_training: 23.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.5099, kappa: 0.0215, kb_relative_information_score: 2.6273, mean_absolute_error: 0.4992, 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: 0.9984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002, scimark_benchmark: 1821, usercpu_time_millis: 31.796, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 31.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.5931, kappa: 0.1865, kb_relative_information_score: 107.5557, mean_absolute_error: 0.462, 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: 0.924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1789.0142, usercpu_time_millis: 49.424, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 48.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5342, kappa: 0.0693, kb_relative_information_score: 45.9645, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5348, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 781.6454, usercpu_time_millis: 47.979, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 47.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.5362, kappa: 0.0759, kb_relative_information_score: 33.5328, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5385, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1868.2531, usercpu_time_millis: 74.709, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 74.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5757, f_measure: 0.5386, kappa: 0.0776, kb_relative_information_score: 46.9602, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5388, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 784.6823, usercpu_time_millis: 92.111, usercpu_time_millis_testing: 1.678, usercpu_time_millis_training: 90.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.5696, kappa: 0.1403, kb_relative_information_score: 72.9075, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5705, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1986.9253, usercpu_time_millis: 108.065, usercpu_time_millis_testing: 1.058, usercpu_time_millis_training: 107.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5928, f_measure: 0.5673, kappa: 0.1353, kb_relative_information_score: 53.8649, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5679, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 1988.3077, usercpu_time_millis: 127.579, usercpu_time_millis_testing: 0.786, usercpu_time_millis_training: 126.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6005, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 76.7569, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5767, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1742.9558, usercpu_time_millis: 132.273, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 131.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5997, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 72.1848, mean_absolute_error: 0.4756, 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: 0.9511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1769.8392, usercpu_time_millis: 167.069, usercpu_time_millis_testing: 1.82, usercpu_time_millis_training: 165.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.5725, kappa: 0.1452, kb_relative_information_score: 69.377, mean_absolute_error: 0.4763, 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: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 782.5479, usercpu_time_millis: 172.888, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 171.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.5371, kappa: 0.0776, kb_relative_information_score: 29.363, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5394, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 784.1787, usercpu_time_millis: 181.989, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 180.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5663, kappa: 0.1337, kb_relative_information_score: 45.0187, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5671, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9886, scimark_benchmark: 1821.5602, usercpu_time_millis: 217.011, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 216.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4498, kappa: -0.0017, kb_relative_information_score: -0.0072, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4987, 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: 1763.6855, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0212, 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: 1822.9214, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4992, kappa: -0.0017, kb_relative_information_score: -0.0062, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4992, 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: 1755.8837, usercpu_time_millis: 0.723, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, f_measure: 0.5195, kappa: 0.0413, kb_relative_information_score: 9.1965, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5208, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1755.9441, usercpu_time_millis: 1.971, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5388, kappa: 0.0776, kb_relative_information_score: 36.8258, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5388, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1984.743, usercpu_time_millis: 10.117, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 9.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.523, kappa: 0.0462, kb_relative_information_score: 2.9111, mean_absolute_error: 0.4992, 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: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1990.7697, usercpu_time_millis: 12.317, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 11.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.5833, kappa: 0.1667, kb_relative_information_score: 88.1944, mean_absolute_error: 0.4698, 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: 0.9395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9909, scimark_benchmark: 1753.5406, usercpu_time_millis: 15.436, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 14.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5211, kappa: 0.0462, kb_relative_information_score: 12.6439, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5235, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1763.288, usercpu_time_millis: 30.314, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 29.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.5223, kappa: 0.0495, kb_relative_information_score: 10.9686, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5253, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1989.137, usercpu_time_millis: 40.011, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 39.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.5607, kappa: 0.1221, kb_relative_information_score: 50.9614, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5612, predictive_accuracy: 0.5611, prior_entropy: 1, recall: 0.5611, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.989, scimark_benchmark: 786.6499, usercpu_time_millis: 39.713, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 39.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5522, f_measure: 0.5245, kappa: 0.0528, kb_relative_information_score: 27.5282, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5268, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1825.029, usercpu_time_millis: 46.806, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 46.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5461, kappa: 0.0924, kb_relative_information_score: 49.0604, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5462, predictive_accuracy: 0.5462, prior_entropy: 1, recall: 0.5462, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1876.8964, usercpu_time_millis: 70.407, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 69.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.574, kappa: 0.1485, kb_relative_information_score: 75.3902, mean_absolute_error: 0.4745, 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: 0.9489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9889, scimark_benchmark: 788.3899, usercpu_time_millis: 133.44, usercpu_time_millis_testing: 2.018, usercpu_time_millis_training: 131.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.5186, kappa: 0.0429, kb_relative_information_score: 12.1267, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.522, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 786.4115, usercpu_time_millis: 141.085, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 140.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.5239, kappa: 0.0479, kb_relative_information_score: 3.8392, mean_absolute_error: 0.4989, 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: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0009, scimark_benchmark: 1783.1545, usercpu_time_millis: 3.687, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 3.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5223, kappa: 0.0479, kb_relative_information_score: 20.7666, mean_absolute_error: 0.4933, 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: 0.9866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1788.249, usercpu_time_millis: 16.299, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 15.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5008, kappa: 0.0066, kb_relative_information_score: 14.1261, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5034, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1983.4684, usercpu_time_millis: 14.301, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 13.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5709, f_measure: 0.5437, kappa: 0.0875, kb_relative_information_score: 42.4944, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5437, predictive_accuracy: 0.5437, prior_entropy: 1, recall: 0.5437, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9969, scimark_benchmark: 1820.5701, usercpu_time_millis: 27.911, usercpu_time_millis_testing: 1.985, usercpu_time_millis_training: 25.926,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.521, kappa: 0.0429, kb_relative_information_score: 5.439, mean_absolute_error: 0.4983, 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: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1863.1711, usercpu_time_millis: 39.348, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 38.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5657, f_measure: 0.5346, kappa: 0.0693, kb_relative_information_score: 41.2462, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5347, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9974, scimark_benchmark: 1873.4078, usercpu_time_millis: 39.359, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 38.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5096, kappa: 0.0248, kb_relative_information_score: 11.809, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5127, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1862.0186, usercpu_time_millis: 21.015, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 20.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, f_measure: 0.5915, kappa: 0.1832, kb_relative_information_score: 108.2406, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5917, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1873.5293, usercpu_time_millis: 43.777, usercpu_time_millis_testing: 1.61, usercpu_time_millis_training: 42.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5568, kappa: 0.1139, kb_relative_information_score: 46.5524, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.557, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9931, scimark_benchmark: 1869.2942, usercpu_time_millis: 38.518, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 37.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.5304, kappa: 0.066, kb_relative_information_score: 20.3595, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5337, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1836.5407, usercpu_time_millis: 57.352, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 56.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, f_measure: 0.5302, kappa: 0.0644, kb_relative_information_score: 25.985, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5327, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1874.977, usercpu_time_millis: 60.715, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 60.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5659, kappa: 0.132, kb_relative_information_score: 53.1518, mean_absolute_error: 0.4823, 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: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1864.046, usercpu_time_millis: 31.331, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 28.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.5239, kappa: 0.0479, kb_relative_information_score: 32.6652, mean_absolute_error: 0.4888, 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: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1867.0779, usercpu_time_millis: 33.284, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 32.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.5576, kappa: 0.1155, kb_relative_information_score: 49.232, mean_absolute_error: 0.4835, 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: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1874.4489, usercpu_time_millis: 60.864, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 60.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.5218, kappa: 0.0495, kb_relative_information_score: 15.827, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5254, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1871.4349, usercpu_time_millis: 66.457, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 65.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.5641, kappa: 0.1287, kb_relative_information_score: 52.3767, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5645, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9859, scimark_benchmark: 1855.7733, usercpu_time_millis: 46.217, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 45.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.5435, kappa: 0.0875, kb_relative_information_score: 48.0681, mean_absolute_error: 0.4839, 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: 0.9679, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9907, scimark_benchmark: 1875.7685, usercpu_time_millis: 22.582, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 22.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 75.8176, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5735, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1867.1999, usercpu_time_millis: 63.979, usercpu_time_millis_testing: 1.105, usercpu_time_millis_training: 62.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5388, f_measure: 0.5255, kappa: 0.0512, kb_relative_information_score: 23.581, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5256, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0071, scimark_benchmark: 1873.4078, usercpu_time_millis: 5.322, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 4.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0243, 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: 1872.8797, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.5143, kappa: 0.033, kb_relative_information_score: 9.7043, mean_absolute_error: 0.497, 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: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1873.019, usercpu_time_millis: 9.151, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 8.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5162, kappa: 0.033, kb_relative_information_score: 10.5644, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5165, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.73, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.5272, kappa: 0.0578, kb_relative_information_score: 23.0658, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5293, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1868.6447, usercpu_time_millis: 18.783, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 18.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4792, kb_relative_information_score: -0.0029, 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: 1849.8177, usercpu_time_millis: 1.889, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.5396, kappa: 0.0792, kb_relative_information_score: 36.5484, mean_absolute_error: 0.4876, 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: 0.9753, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1868.8974, usercpu_time_millis: 13.271, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 12.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.505, f_measure: 0.5089, kappa: 0.0182, kb_relative_information_score: 1.7771, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5091, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0027, scimark_benchmark: 1875.5079, usercpu_time_millis: 3.436, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 3.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.5267, kappa: 0.0545, kb_relative_information_score: 4.5342, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0005, scimark_benchmark: 1867.725, usercpu_time_millis: 4.402, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 4.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.5545, kappa: 0.1089, kb_relative_information_score: 50.6319, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5545, prior_entropy: 1, recall: 0.5545, relative_absolute_error: 0.966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026, scimark_benchmark: 1855.7107, usercpu_time_millis: 23.074, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 21.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.584, kappa: 0.1683, kb_relative_information_score: 93.8225, mean_absolute_error: 0.4674, 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: 0.9348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1869.8223, usercpu_time_millis: 8.578, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 8.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5602, kappa: 0.1205, kb_relative_information_score: 52.4968, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5602, predictive_accuracy: 0.5602, prior_entropy: 1, recall: 0.5602, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1868.5777, usercpu_time_millis: 37.404, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 36.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.5237, kappa: 0.0495, kb_relative_information_score: 11.5488, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.525, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1868.2531, usercpu_time_millis: 6.766, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 6.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5191, kappa: 0.0429, kb_relative_information_score: 11.8732, mean_absolute_error: 0.4963, 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: 0.9927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9976, scimark_benchmark: 1847.9494, usercpu_time_millis: 41.062, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 40.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5494, kappa: 0.099, kb_relative_information_score: 44.5317, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5495, predictive_accuracy: 0.5495, prior_entropy: 1, recall: 0.5495, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9981, scimark_benchmark: 1862.6145, usercpu_time_millis: 15.473, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 15.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 79.1224, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9462, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1870.9309, usercpu_time_millis: 14.966, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 14.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.5655, kappa: 0.137, kb_relative_information_score: 63.8758, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5704, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1869.6309, usercpu_time_millis: 30.09, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 29.765,

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