Task
Supervised Classification on wdbc

Supervised Classification on wdbc

Task 145878 Supervised Classification wdbc 76354 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9473, kappa: 0.8872, kb_relative_information_score: 464.3451, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9473, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.4173, scimark_benchmark: 1868.0738, usercpu_time_millis: 3.271, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 3.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 462.0992, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4098, scimark_benchmark: 1818.354, usercpu_time_millis: 7.296, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 6.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 479.5604, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.373, scimark_benchmark: 1854.5854, usercpu_time_millis: 4.104, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 3.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 482.7388, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1647, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3684, scimark_benchmark: 1858.0644, usercpu_time_millis: 10.54, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 10.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 462.1521, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4066, scimark_benchmark: 1865.8326, usercpu_time_millis: 2.639, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 2.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 482.793, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.164, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.3722, scimark_benchmark: 1868.2531, usercpu_time_millis: 10.176, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 9.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9164, kappa: 0.8197, kb_relative_information_score: 403.9165, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9182, predictive_accuracy: 0.9174, prior_entropy: 0.953, recall: 0.9174, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4851, scimark_benchmark: 1865.7127, usercpu_time_millis: 3.256, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.18, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.42, scimark_benchmark: 1870.5885, usercpu_time_millis: 5.119, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9336, kappa: 0.8588, kb_relative_information_score: 441.2411, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9348, predictive_accuracy: 0.9332, prior_entropy: 0.953, recall: 0.9332, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4347, scimark_benchmark: 1866.6261, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 459.4241, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2069, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4172, scimark_benchmark: 1866.6261, usercpu_time_millis: 3.507, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 3.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 443.4542, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4232, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.578, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4838, kb_relative_information_score: -0.0865, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1855.6183, usercpu_time_millis: 0.256, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4933, f_measure: 0.4838, kb_relative_information_score: 0.2029, mean_absolute_error: 0.4675, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1856.0551, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9491, kappa: 0.8913, kb_relative_information_score: 467.6081, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9492, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.3963, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.886, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 1.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9596, kappa: 0.9138, kb_relative_information_score: 433.7697, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9597, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4149, scimark_benchmark: 1870.4029, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9454, kappa: 0.8829, kb_relative_information_score: 331.9557, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5457, scimark_benchmark: 1855.3202, usercpu_time_millis: 0.347, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.956, kappa: 0.9058, kb_relative_information_score: 473.9267, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1792, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.3935, scimark_benchmark: 1870.0634, usercpu_time_millis: 8.422, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 8.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4838, kb_relative_information_score: -0.2352, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.3532, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9404, kappa: 0.8729, kb_relative_information_score: 428.3817, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9408, predictive_accuracy: 0.9402, prior_entropy: 0.953, recall: 0.9402, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.445, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 453.1871, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4282, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.05, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9491, kappa: 0.8911, kb_relative_information_score: 463.4897, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9491, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4138, scimark_benchmark: 1866.1679, usercpu_time_millis: 7.6, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 7.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 473.77, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.3809, scimark_benchmark: 1854.6195, usercpu_time_millis: 4.701, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 4.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.949, kappa: 0.8909, kb_relative_information_score: 463.4991, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.1975, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.4153, scimark_benchmark: 1860.5298, usercpu_time_millis: 7.739, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 7.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 460.7552, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2047, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4091, scimark_benchmark: 1861.5089, usercpu_time_millis: 4.862, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 4.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9596, kappa: 0.9135, kb_relative_information_score: 478.8921, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3791, scimark_benchmark: 1862.4223, usercpu_time_millis: 5.441, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 5.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.4838, kb_relative_information_score: 0.2651, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1870.742, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 420.9645, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4306, scimark_benchmark: 1868.1832, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 487.5374, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3575, scimark_benchmark: 1867.725, usercpu_time_millis: 6.682, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 6.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 466.6207, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3983, scimark_benchmark: 1861.2508, usercpu_time_millis: 7.098, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 6.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.956, kappa: 0.9059, kb_relative_information_score: 478.7775, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.956, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3817, scimark_benchmark: 1845.6391, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 480.8888, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3644, scimark_benchmark: 1855.5511, usercpu_time_millis: 5.678, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 5.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 479.2974, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3762, scimark_benchmark: 1852.9259, usercpu_time_millis: 1.955, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 446.3925, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3952, scimark_benchmark: 1870.4728, usercpu_time_millis: 2.392, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 2.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9422, kappa: 0.8768, kb_relative_information_score: 461.9581, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9427, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4219, scimark_benchmark: 1867.9319, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9453, kappa: 0.8827, kb_relative_information_score: 346.5228, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9454, predictive_accuracy: 0.9455, prior_entropy: 0.953, recall: 0.9455, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5258, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.841, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.58,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9475, kappa: 0.8883, kb_relative_information_score: 444.6, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9484, predictive_accuracy: 0.9473, prior_entropy: 0.953, recall: 0.9473, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4208, scimark_benchmark: 1865.2545, usercpu_time_millis: 1.972, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9371, kappa: 0.8665, kb_relative_information_score: 411.4376, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9387, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4564, scimark_benchmark: 1856.7467, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9561, kappa: 0.9061, kb_relative_information_score: 469.1995, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.953, recall: 0.9561, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.3901, scimark_benchmark: 1850.4554, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9542, kappa: 0.9019, kb_relative_information_score: 437.3848, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4231, scimark_benchmark: 1866.3577, usercpu_time_millis: 3.357, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9613, kappa: 0.9173, kb_relative_information_score: 481.3176, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3731, scimark_benchmark: 1862.3618, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 459.8292, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4162, scimark_benchmark: 1870.3393, usercpu_time_millis: 4.719, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 4.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9351, kappa: 0.8616, kb_relative_information_score: 428.1402, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9354, predictive_accuracy: 0.935, prior_entropy: 0.953, recall: 0.935, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4552, scimark_benchmark: 1855.5511, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 476.4388, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3699, scimark_benchmark: 1870.4728, usercpu_time_millis: 2.641, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 2.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9387, kappa: 0.8693, kb_relative_information_score: 425.2201, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9392, predictive_accuracy: 0.9385, prior_entropy: 0.953, recall: 0.9385, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4482, scimark_benchmark: 1869.4896, usercpu_time_millis: 2.545, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 2.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 452.8579, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4162, scimark_benchmark: 1857.5664, usercpu_time_millis: 1.491, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9508, kappa: 0.8947, kb_relative_information_score: 471.498, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9508, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.4035, scimark_benchmark: 1865.2449, usercpu_time_millis: 16.929, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 16.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4838, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.688, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9236, kappa: 0.8354, kb_relative_information_score: 406.255, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9251, predictive_accuracy: 0.9244, prior_entropy: 0.953, recall: 0.9244, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.472, scimark_benchmark: 1869.7524, usercpu_time_millis: 1.84, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9318, kappa: 0.8552, kb_relative_information_score: 445.8678, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9332, predictive_accuracy: 0.9315, prior_entropy: 0.953, recall: 0.9315, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.442, scimark_benchmark: 1858.3721, usercpu_time_millis: 5.987, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 5.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9578, kappa: 0.9098, kb_relative_information_score: 485.0042, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.953, recall: 0.9578, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3913, scimark_benchmark: 1868.2531, usercpu_time_millis: 16.677, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 16.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9492, kappa: 0.8915, kb_relative_information_score: 455.4984, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9494, predictive_accuracy: 0.949, prior_entropy: 0.953, recall: 0.949, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.409, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.392, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 2.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.923, kappa: 0.8362, kb_relative_information_score: 436.9965, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9239, predictive_accuracy: 0.9227, prior_entropy: 0.953, recall: 0.9227, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4925, scimark_benchmark: 1867.2698, usercpu_time_millis: 14.016, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 13.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9525, kappa: 0.8984, kb_relative_information_score: 458.7299, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9525, predictive_accuracy: 0.9525, prior_entropy: 0.953, recall: 0.9525, relative_absolute_error: 0.2091, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4104, scimark_benchmark: 1869.1029, usercpu_time_millis: 4.072, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 3.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9439, kappa: 0.8802, kb_relative_information_score: 458.2311, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9441, predictive_accuracy: 0.9438, prior_entropy: 0.953, recall: 0.9438, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.407, scimark_benchmark: 1849.3014, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4838, kb_relative_information_score: -0.2761, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0001, scimark_benchmark: 1869.3671, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4838, kb_relative_information_score: 0.2501, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1867.2698, usercpu_time_millis: 0.842, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.937, kappa: 0.866, kb_relative_information_score: 447.0132, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9379, predictive_accuracy: 0.9367, prior_entropy: 0.953, recall: 0.9367, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4479, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.78, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 4.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9613, kappa: 0.9171, kb_relative_information_score: 480.9074, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3826, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.316, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 2.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 489.3, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3609, scimark_benchmark: 1864.7294, usercpu_time_millis: 5.342, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 5.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9649, kappa: 0.9248, kb_relative_information_score: 488.5305, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.953, recall: 0.9649, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3575, scimark_benchmark: 1846.9851, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 7.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9508, kappa: 0.8949, kb_relative_information_score: 470.365, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9509, predictive_accuracy: 0.9508, prior_entropy: 0.953, recall: 0.9508, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3913, scimark_benchmark: 1842.0566, usercpu_time_millis: 9.117, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 8.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4944, f_measure: 0.4838, kb_relative_information_score: -0.1486, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.3937, predictive_accuracy: 0.6274, prior_entropy: 0.953, recall: 0.6274, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.4835, root_relative_squared_error: 1, scimark_benchmark: 1855.3856, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9614, kappa: 0.9175, kb_relative_information_score: 485.7502, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.953, recall: 0.9613, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3919, scimark_benchmark: 1833.8965, usercpu_time_millis: 10.837, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 10.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 466.5591, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.1934, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4027, scimark_benchmark: 1871.5019, usercpu_time_millis: 8.701, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 8.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9422, kappa: 0.8768, kb_relative_information_score: 453.4068, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9427, predictive_accuracy: 0.942, prior_entropy: 0.953, recall: 0.942, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4314, scimark_benchmark: 1865.8326, usercpu_time_millis: 2.333, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 2.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9596, kappa: 0.9136, kb_relative_information_score: 472.1761, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9596, predictive_accuracy: 0.9596, prior_entropy: 0.953, recall: 0.9596, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.383, scimark_benchmark: 1856.5192, usercpu_time_millis: 5.224, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9543, kappa: 0.9021, kb_relative_information_score: 464.8469, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4676, number_of_instances: 569, precision: 0.9542, predictive_accuracy: 0.9543, prior_entropy: 0.953, recall: 0.9543, relative_absolute_error: 0.196, root_mean_prior_squared_error: 0.4835, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4075, scimark_benchmark: 1866.8908, usercpu_time_millis: 11.459, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 11.066,

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