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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: 0.5998, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 71.7348, mean_absolute_error: 0.4757, 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: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1868.7112, usercpu_time_millis: 51.157, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 50.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6056, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 80.4555, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1742.7467, usercpu_time_millis: 210.143, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 209.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5675, kappa: 0.1353, kb_relative_information_score: 62.6361, mean_absolute_error: 0.4788, 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: 0.9575, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9917, scimark_benchmark: 1718.2809, usercpu_time_millis: 202.141, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 201.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.5381, kappa: 0.0776, kb_relative_information_score: 37.5452, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.539, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1870.0188, usercpu_time_millis: 33.8, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 33.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5315, kappa: 0.0644, kb_relative_information_score: 34.5638, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5324, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1740.5083, usercpu_time_millis: 36.55, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 36.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.5232, kappa: 0.0512, kb_relative_information_score: 13.4219, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5261, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1755.1934, usercpu_time_millis: 36.578, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 36.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5199, kappa: 0.0413, kb_relative_information_score: 5.8265, mean_absolute_error: 0.4982, 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: 0.9965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1743.6532, usercpu_time_millis: 36.412, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 36.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.5356, kappa: 0.0743, kb_relative_information_score: 21.7514, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5376, predictive_accuracy: 0.5371, prior_entropy: 1, recall: 0.5371, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1092.5612, usercpu_time_millis: 181.888, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 181.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.58, kappa: 0.1601, kb_relative_information_score: 78.1259, mean_absolute_error: 0.4731, 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: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1871.5019, usercpu_time_millis: 28.997, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 28.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.5792, kappa: 0.1584, kb_relative_information_score: 91.3186, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5792, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1741.1835, usercpu_time_millis: 27.342, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 26.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, f_measure: 0.5219, kappa: 0.0495, kb_relative_information_score: 11.7696, mean_absolute_error: 0.4963, 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: 0.9926, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1865.3572, usercpu_time_millis: 24.587, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 24.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5289, kappa: 0.0578, kb_relative_information_score: 34.5439, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5289, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1868.6447, usercpu_time_millis: 18.917, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 18.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.57, kappa: 0.1403, kb_relative_information_score: 49.3813, mean_absolute_error: 0.4838, 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: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9986, scimark_benchmark: 1736.7427, usercpu_time_millis: 33.084, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 32.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5095, kappa: 0.0231, kb_relative_information_score: 21.2119, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5117, predictive_accuracy: 0.5116, prior_entropy: 1, recall: 0.5116, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9992, scimark_benchmark: 1744.5659, usercpu_time_millis: 28.332, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 27.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4792, kb_relative_information_score: -0.0166, 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: 1735.4422, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.5168, kappa: 0.0363, kb_relative_information_score: 25.2601, mean_absolute_error: 0.4915, 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: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1753.3033, usercpu_time_millis: 21.281, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 20.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.5412, kappa: 0.0825, kb_relative_information_score: 41.7972, mean_absolute_error: 0.486, 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: 0.972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1746.63, usercpu_time_millis: 22.022, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 21.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5146, kappa: 0.033, kb_relative_information_score: 17.4917, mean_absolute_error: 0.4945, 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: 0.989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965, scimark_benchmark: 1751.6968, usercpu_time_millis: 19.195, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 18.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.5533, kappa: 0.1073, kb_relative_information_score: 46.1651, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5538, predictive_accuracy: 0.5536, prior_entropy: 1, recall: 0.5536, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1741.2968, usercpu_time_millis: 12.363, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 12.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5162, f_measure: 0.5269, kappa: 0.0545, kb_relative_information_score: 4.4656, 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: 1872.0299, usercpu_time_millis: 4.372, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 4.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5157, kappa: 0.0314, kb_relative_information_score: 26.6119, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5157, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1748.2025, usercpu_time_millis: 9.702, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 9.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5262, kappa: 0.0528, kb_relative_information_score: 5.0453, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5265, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 1733.819, usercpu_time_millis: 8.616, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 8.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0118, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1754.1079, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5156, kappa: 0.033, kb_relative_information_score: 4.9185, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5166, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, scimark_benchmark: 1749.5206, usercpu_time_millis: 1.195, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0074, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, 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: 1739.6924, usercpu_time_millis: 2.141, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 1.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.5915, kappa: 0.1832, kb_relative_information_score: 122.5949, mean_absolute_error: 0.4558, 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: 0.9117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9989, scimark_benchmark: 1743.6532, usercpu_time_millis: 153.867, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 153.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4486, kappa: -0.0033, kb_relative_information_score: -0.0265, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, 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: 1752.6185, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0345, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, 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: 1739.8272, usercpu_time_millis: 0.319, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.5041, kappa: 0.0132, kb_relative_information_score: 16.3344, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5067, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, scimark_benchmark: 1771.9154, usercpu_time_millis: 4.215, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0204, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1738.1722, usercpu_time_millis: 1.233, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.4792, kb_relative_information_score: -0.0023, 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: 1746.226, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.5325, kappa: 0.066, kb_relative_information_score: 42.6502, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5331, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9944, scimark_benchmark: 1753.6457, usercpu_time_millis: 133.344, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 132.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5797, kappa: 0.1601, kb_relative_information_score: 124.89, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5803, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0172, scimark_benchmark: 1743.2043, usercpu_time_millis: 106.432, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 105.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5434, kappa: 0.0875, kb_relative_information_score: 44.1502, mean_absolute_error: 0.4853, 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: 0.9706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9925, scimark_benchmark: 1754.1059, usercpu_time_millis: 98.194, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 97.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.5825, kappa: 0.165, kb_relative_information_score: 83.836, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5825, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1734.991, usercpu_time_millis: 63.938, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 62.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 71.2236, mean_absolute_error: 0.4756, 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: 0.9513, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1737.9267, usercpu_time_millis: 62.089, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 60.603,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.024, 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: 1753.6119, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4786, kappa: -0.0017, kb_relative_information_score: -0.0103, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.499, 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: 1750.1612, usercpu_time_millis: 1.254, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 104.1385, mean_absolute_error: 0.4623, 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: 0.9246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0146, scimark_benchmark: 1716.3734, usercpu_time_millis: 609.366, usercpu_time_millis_testing: 1.295, usercpu_time_millis_training: 608.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 106.0816, mean_absolute_error: 0.4608, 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: 0.9216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.0322, scimark_benchmark: 1726.7974, usercpu_time_millis: 592.13, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 591.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5633, kappa: 0.1271, kb_relative_information_score: 54.4228, mean_absolute_error: 0.4819, 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: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9952, scimark_benchmark: 1711.6042, usercpu_time_millis: 501.507, usercpu_time_millis_testing: 1.208, usercpu_time_millis_training: 500.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5384, kappa: 0.0776, kb_relative_information_score: 46.9506, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5389, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1727.2167, usercpu_time_millis: 327.493, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 326.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5591, kappa: 0.1188, kb_relative_information_score: 49.2034, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5596, predictive_accuracy: 0.5594, prior_entropy: 1, recall: 0.5594, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9922, scimark_benchmark: 1715.1285, usercpu_time_millis: 264.059, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 263.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.5872, kappa: 0.1749, kb_relative_information_score: 105.1513, mean_absolute_error: 0.4627, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5877, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9963, scimark_benchmark: 1714.3886, usercpu_time_millis: 254.829, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 253.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 98.0067, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5886, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1733.1402, usercpu_time_millis: 209.114, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 207.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5619, kappa: 0.1238, kb_relative_information_score: 70.9085, mean_absolute_error: 0.4757, 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: 0.9515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1720.8381, usercpu_time_millis: 187.249, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 186.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.5553, kappa: 0.1106, kb_relative_information_score: 58.7593, mean_absolute_error: 0.4801, 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: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1725.3223, usercpu_time_millis: 183.07, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 182.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 55.301, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.552, predictive_accuracy: 0.552, prior_entropy: 1, recall: 0.552, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1727.0501, usercpu_time_millis: 186.525, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 185.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.5312, kappa: 0.066, kb_relative_information_score: 23.5989, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5335, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9943, scimark_benchmark: 1718.188, usercpu_time_millis: 151.162, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 150.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5916, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 62.9197, mean_absolute_error: 0.4787, 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: 0.9574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1760.0856, usercpu_time_millis: 156.414, usercpu_time_millis_testing: 0.943, usercpu_time_millis_training: 155.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6145, f_measure: 0.5865, kappa: 0.1733, kb_relative_information_score: 88.9264, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5867, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9887, scimark_benchmark: 1734.1451, usercpu_time_millis: 105.744, usercpu_time_millis_testing: 1.541, usercpu_time_millis_training: 104.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 81.7242, mean_absolute_error: 0.472, 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: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9891, scimark_benchmark: 1718.2275, usercpu_time_millis: 79.489, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 79.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.56, kappa: 0.1205, kb_relative_information_score: 55.0119, mean_absolute_error: 0.4814, 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: 0.9629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9923, scimark_benchmark: 1732.4272, usercpu_time_millis: 78.908, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 78.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 90.5388, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5887, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1731.0996, usercpu_time_millis: 71.198, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 70.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.584, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 53.7296, mean_absolute_error: 0.482, 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: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1725.6937, usercpu_time_millis: 25.493, usercpu_time_millis_testing: 1.135, usercpu_time_millis_training: 24.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.5741, kappa: 0.1485, kb_relative_information_score: 90.308, mean_absolute_error: 0.4683, 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: 0.9366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.996, scimark_benchmark: 1728.4686, usercpu_time_millis: 28.464, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 28.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.5093, kappa: 0.0231, kb_relative_information_score: 18.7513, mean_absolute_error: 0.4937, 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: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, scimark_benchmark: 1759.6136, usercpu_time_millis: 32.497, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 32.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5316, f_measure: 0.516, kappa: 0.038, kb_relative_information_score: 14.2385, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5195, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9979, scimark_benchmark: 1719.3971, usercpu_time_millis: 14.521, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 14.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.5013, kappa: 0.0066, kb_relative_information_score: 8.7697, mean_absolute_error: 0.4971, 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: 0.9943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, scimark_benchmark: 1871.3215, usercpu_time_millis: 8.983, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 8.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.5155, kappa: 0.033, kb_relative_information_score: 4.5674, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5166, predictive_accuracy: 0.5165, prior_entropy: 1, recall: 0.5165, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1730.7623, usercpu_time_millis: 0.786, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 60.4095, mean_absolute_error: 0.479, 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: 0.9581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5094, root_relative_squared_error: 1.0189, scimark_benchmark: 1747.8606, usercpu_time_millis: 580.044, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 579.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 72.0747, mean_absolute_error: 0.4754, 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: 0.9507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1738.1722, usercpu_time_millis: 386.379, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 385.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.5879, kappa: 0.1766, kb_relative_information_score: 119.0635, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5887, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1864.2071, usercpu_time_millis: 396.484, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 395.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.5586, kappa: 0.1172, kb_relative_information_score: 63.7766, mean_absolute_error: 0.4783, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5586, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1750.0468, usercpu_time_millis: 235.918, usercpu_time_millis_testing: 0.892, usercpu_time_millis_training: 235.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, f_measure: 0.5774, kappa: 0.1551, kb_relative_information_score: 114.2974, mean_absolute_error: 0.4582, 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: 0.9163, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0109, scimark_benchmark: 1725.0232, usercpu_time_millis: 203.819, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 202.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 79.0906, mean_absolute_error: 0.4728, 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: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1751.4527, usercpu_time_millis: 108.608, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 107.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.5311, kappa: 0.066, kb_relative_information_score: 24.7457, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5336, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9957, scimark_benchmark: 1748.0598, usercpu_time_millis: 61.282, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 60.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.5751, kappa: 0.1502, kb_relative_information_score: 74.4508, mean_absolute_error: 0.4746, 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: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9947, scimark_benchmark: 1741.4972, usercpu_time_millis: 94.199, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 93.804,

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