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: 0.5212, f_measure: 0.5304, kappa: 0.0627, kb_relative_information_score: 6.2266, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5316, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1374.769, usercpu_time_millis: 37.404, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 36.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.5218, kappa: 0.0479, kb_relative_information_score: 21.4761, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5244, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9964, scimark_benchmark: 1381.4085, usercpu_time_millis: 52.976, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 52.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.5519, kappa: 0.104, kb_relative_information_score: 51.7814, mean_absolute_error: 0.4825, 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: 0.9649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1381.3386, usercpu_time_millis: 17.306, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 17.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.5181, kappa: 0.038, kb_relative_information_score: 23.7089, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5191, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0056, scimark_benchmark: 1383.3038, usercpu_time_millis: 2.989, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 2.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.5527, kappa: 0.1056, kb_relative_information_score: 49.9832, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5529, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.995, scimark_benchmark: 1370.8331, usercpu_time_millis: 81.301, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 80.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.0181, 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: 1376.6681, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.528, f_measure: 0.5142, kappa: 0.033, kb_relative_information_score: 11.0201, mean_absolute_error: 0.4965, 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: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1382.0871, usercpu_time_millis: 11.282, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 10.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5618, f_measure: 0.5233, kappa: 0.0479, kb_relative_information_score: 35.5735, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5241, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9955, scimark_benchmark: 1381.3412, usercpu_time_millis: 53.587, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 53.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5097, kappa: 0.0198, kb_relative_information_score: 24.154, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5099, predictive_accuracy: 0.5099, prior_entropy: 1, recall: 0.5099, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 1379.1932, usercpu_time_millis: 46.497, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 45.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 73.991, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9885, scimark_benchmark: 1384.0972, usercpu_time_millis: 189.247, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 188.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5584, kappa: 0.1172, kb_relative_information_score: 50.825, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5587, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9915, scimark_benchmark: 1375.5924, usercpu_time_millis: 258.421, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 257.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.5435, kappa: 0.0875, kb_relative_information_score: 45.3557, mean_absolute_error: 0.4848, 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: 0.9696, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1376.2327, usercpu_time_millis: 55.705, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 55.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5668, kappa: 0.1337, kb_relative_information_score: 63.2046, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5668, predictive_accuracy: 0.5668, prior_entropy: 1, recall: 0.5668, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1374.3729, usercpu_time_millis: 347.323, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 346.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5181, kappa: 0.0363, kb_relative_information_score: 28.6576, mean_absolute_error: 0.4902, 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: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1386.1316, usercpu_time_millis: 49.742, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 49.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5429, kappa: 0.0858, kb_relative_information_score: 49.2267, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9984, scimark_benchmark: 1371.6199, usercpu_time_millis: 2.645, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 2.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.5862, kappa: 0.1733, kb_relative_information_score: 99.1438, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.587, predictive_accuracy: 0.5866, prior_entropy: 1, recall: 0.5866, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1374.4842, usercpu_time_millis: 406.042, usercpu_time_millis_testing: 1.166, usercpu_time_millis_training: 404.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.5651, kappa: 0.1304, kb_relative_information_score: 59.86, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5652, predictive_accuracy: 0.5652, prior_entropy: 1, recall: 0.5652, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1376.5861, usercpu_time_millis: 303.798, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 303.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 76.2761, mean_absolute_error: 0.4739, 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: 0.9478, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9973, scimark_benchmark: 1374.3596, usercpu_time_millis: 115.297, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 115.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.5341, kappa: 0.071, kb_relative_information_score: 29.0421, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5359, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1381.8262, usercpu_time_millis: 106.072, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 105.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5251, kappa: 0.0512, kb_relative_information_score: 5.7355, 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: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1380.3027, usercpu_time_millis: 5.227, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 4.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.53, f_measure: 0.5151, kappa: 0.0347, kb_relative_information_score: 12.5867, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5177, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9978, scimark_benchmark: 1374.5747, usercpu_time_millis: 47.521, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 46.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5585, kappa: 0.1172, kb_relative_information_score: 53.593, mean_absolute_error: 0.482, 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: 0.9639, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1378.8046, usercpu_time_millis: 68.328, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 68.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.588, kappa: 0.1766, kb_relative_information_score: 98.6918, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5885, predictive_accuracy: 0.5883, prior_entropy: 1, recall: 0.5883, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9934, scimark_benchmark: 1377.5365, usercpu_time_millis: 278.805, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 277.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5627, kappa: 0.1254, kb_relative_information_score: 60.1915, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5627, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1371.174, usercpu_time_millis: 150.031, usercpu_time_millis_testing: 1.492, usercpu_time_millis_training: 148.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 75.6785, mean_absolute_error: 0.4744, 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: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9884, scimark_benchmark: 1377.6789, usercpu_time_millis: 151.477, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 150.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 80.9702, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9967, scimark_benchmark: 1373.7637, usercpu_time_millis: 52.91, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 51.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 56.1297, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5569, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9954, scimark_benchmark: 1379.3838, usercpu_time_millis: 107.445, usercpu_time_millis_testing: 1.138, usercpu_time_millis_training: 106.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.5889, kappa: 0.1782, kb_relative_information_score: 97.2699, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5893, predictive_accuracy: 0.5891, prior_entropy: 1, recall: 0.5891, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868, scimark_benchmark: 1374.528, usercpu_time_millis: 195.654, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 194.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.5789, kappa: 0.1584, kb_relative_information_score: 79.2615, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5795, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1372.6935, usercpu_time_millis: 143.788, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 142.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5278, kappa: 0.0578, kb_relative_information_score: 33.932, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5292, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1376.2801, usercpu_time_millis: 35.112, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 34.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.0097, 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: 1374.9843, usercpu_time_millis: 1.619, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5437, f_measure: 0.5231, kappa: 0.0495, kb_relative_information_score: 17.0421, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5251, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.9971, scimark_benchmark: 1382.995, usercpu_time_millis: 51.748, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 51.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.5277, kappa: 0.0578, kb_relative_information_score: 25.5485, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5292, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1371.1834, usercpu_time_millis: 23.926, usercpu_time_millis_testing: 1.004, usercpu_time_millis_training: 22.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.5293, kappa: 0.0594, kb_relative_information_score: 35.1511, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5298, predictive_accuracy: 0.5297, prior_entropy: 1, recall: 0.5297, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4987, root_relative_squared_error: 0.9975, scimark_benchmark: 1378.8279, usercpu_time_millis: 16.645, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 16.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5191, f_measure: 0.5298, kappa: 0.0611, kb_relative_information_score: 5.9611, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5307, predictive_accuracy: 0.5305, prior_entropy: 1, recall: 0.5305, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1379.0786, usercpu_time_millis: 20.434, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 20.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.5726, kappa: 0.1452, kb_relative_information_score: 81.2891, mean_absolute_error: 0.472, 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: 0.9441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1372.6324, usercpu_time_millis: 41.213, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 41.082,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.5749, kappa: 0.1502, kb_relative_information_score: 124.1812, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5752, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.017, scimark_benchmark: 1804.9067, usercpu_time_millis: 50.268, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 50.045,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0235, 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: 1736.5094, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6138, f_measure: 0.5838, kappa: 0.1683, kb_relative_information_score: 95.4337, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5844, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1737.4108, usercpu_time_millis: 535.822, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 534.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.5742, kappa: 0.1485, kb_relative_information_score: 125.6454, mean_absolute_error: 0.4533, 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: 0.9066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5097, root_relative_squared_error: 1.0194, scimark_benchmark: 1859.9303, usercpu_time_millis: 423.496, usercpu_time_millis_testing: 1.705, usercpu_time_millis_training: 421.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.606, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 82.9767, mean_absolute_error: 0.4715, 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: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9932, scimark_benchmark: 1829.9682, usercpu_time_millis: 117.513, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 115.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.5916, kappa: 0.1832, kb_relative_information_score: 105.8181, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5916, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9899, scimark_benchmark: 1701.2273, usercpu_time_millis: 98.821, usercpu_time_millis_testing: 1.579, usercpu_time_millis_training: 97.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.5709, kappa: 0.1419, kb_relative_information_score: 74.8463, mean_absolute_error: 0.4744, 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: 0.9488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1857.6708, usercpu_time_millis: 117.937, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 117.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.5716, kappa: 0.1436, kb_relative_information_score: 84.4921, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5719, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9953, scimark_benchmark: 1811.6381, usercpu_time_millis: 275.448, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 274.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.566, kappa: 0.132, kb_relative_information_score: 56.327, mean_absolute_error: 0.4812, 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: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9957, scimark_benchmark: 1822.7234, usercpu_time_millis: 30.189, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 29.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.5462, kappa: 0.0924, kb_relative_information_score: 51.6957, mean_absolute_error: 0.4824, 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: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1918.6899, usercpu_time_millis: 99.853, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 99.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 86.5887, mean_absolute_error: 0.47, 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: 0.94, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1899.5282, usercpu_time_millis: 29.024, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 28.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5254, kappa: 0.0528, kb_relative_information_score: 10.2235, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5266, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1845.8651, usercpu_time_millis: 2.618, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 2.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 55.2725, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9939, scimark_benchmark: 1815.9657, usercpu_time_millis: 32.471, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 32.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5317, f_measure: 0.5197, kappa: 0.0446, kb_relative_information_score: 12.8122, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5228, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9973, scimark_benchmark: 1814.1486, usercpu_time_millis: 29.255, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 28.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5773, kappa: 0.1551, kb_relative_information_score: 74.0986, mean_absolute_error: 0.4749, 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: 0.9498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1842.0726, usercpu_time_millis: 151.787, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 150.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5533, kappa: 0.1073, kb_relative_information_score: 38.2155, mean_absolute_error: 0.4874, 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: 0.9748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9949, scimark_benchmark: 1863.9124, usercpu_time_millis: 39.758, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 38.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5683, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 44.7594, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.003, scimark_benchmark: 1830.8613, usercpu_time_millis: 28.323, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 27.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0172, 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: 1937.9295, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5718, kappa: 0.1436, kb_relative_information_score: 83.0473, mean_absolute_error: 0.4712, 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: 0.9425, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1862.4254, usercpu_time_millis: 156.175, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 155.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5274, kappa: 0.0561, kb_relative_information_score: 5.077, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1830.5309, usercpu_time_millis: 9.84, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 9.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5625, kappa: 0.1254, kb_relative_information_score: 72.3252, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5628, predictive_accuracy: 0.5627, prior_entropy: 1, recall: 0.5627, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1819.2211, usercpu_time_millis: 22.584, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 22.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5688, f_measure: 0.5328, kappa: 0.066, kb_relative_information_score: 41.7056, mean_absolute_error: 0.4859, 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: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1854.9785, usercpu_time_millis: 66.053, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 65.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4934, kappa: -0.0033, kb_relative_information_score: -0.0159, 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: 1680.6624, usercpu_time_millis: 2.762, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 2.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.552, kappa: 0.104, kb_relative_information_score: 53.3802, mean_absolute_error: 0.4819, 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: 0.9638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1829.8082, usercpu_time_millis: 87.705, usercpu_time_millis_testing: 0.917, usercpu_time_millis_training: 86.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 96.1859, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9904, scimark_benchmark: 1826.3836, usercpu_time_millis: 59.422, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 58.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5753, f_measure: 0.5428, kappa: 0.0858, kb_relative_information_score: 45.4758, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5429, predictive_accuracy: 0.5429, prior_entropy: 1, recall: 0.5429, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1867.2605, usercpu_time_millis: 18.873, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 18.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.5309, kappa: 0.0627, kb_relative_information_score: 7.0077, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5315, predictive_accuracy: 0.5314, prior_entropy: 1, recall: 0.5314, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011, scimark_benchmark: 1845.6385, usercpu_time_millis: 13.703, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 13.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0063, 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: 1924.3959, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 1.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0036, 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: 1852.5663, usercpu_time_millis: 0.332, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5422, f_measure: 0.5256, kappa: 0.0561, kb_relative_information_score: 21.8147, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5287, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9966, scimark_benchmark: 1864.7379, usercpu_time_millis: 33.459, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 33.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.5338, kappa: 0.0677, kb_relative_information_score: 38.4525, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5338, predictive_accuracy: 0.5338, prior_entropy: 1, recall: 0.5338, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1912.5336, usercpu_time_millis: 17.432, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 16.943,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs