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Supervised Classification on credit-g

Supervised Classification on credit-g

Task 145972 Supervised Classification credit-g 82359 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7496, kappa: 0.3816, kb_relative_information_score: 197.0462, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8829, scimark_benchmark: 1768.4244, usercpu_time_millis: 9.603, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 8.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7483, kappa: 0.3783, kb_relative_information_score: 199.8495, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8751, scimark_benchmark: 1758.7838, usercpu_time_millis: 8.348, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 7.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.7191, kappa: 0.3025, kb_relative_information_score: 162.5529, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7526, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8857, scimark_benchmark: 1711.2857, usercpu_time_millis: 7.997, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 7.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6528, kappa: 0.1541, kb_relative_information_score: 126.5795, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7518, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.9073, scimark_benchmark: 1746.7683, usercpu_time_millis: 5.263, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 4.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7541, kappa: 0.3951, kb_relative_information_score: 208.9857, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7549, predictive_accuracy: 0.767, prior_entropy: 0.8818, recall: 0.767, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8804, scimark_benchmark: 1773.8728, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7387, kappa: 0.3536, kb_relative_information_score: 186.12, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8847, scimark_benchmark: 1838.4071, usercpu_time_millis: 7.947, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 7.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2904, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1758.2413, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7414, kappa: 0.3587, kb_relative_information_score: 190.8038, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7521, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8771, scimark_benchmark: 1868.7112, usercpu_time_millis: 6.934, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 6.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7551, kappa: 0.3994, kb_relative_information_score: 215.5758, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7544, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8785, scimark_benchmark: 1842.1954, usercpu_time_millis: 3.815, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 3.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7099, kappa: 0.2796, kb_relative_information_score: 151.6903, mean_absolute_error: 0.3555, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7395, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8963, scimark_benchmark: 1848.6226, usercpu_time_millis: 4.073, usercpu_time_millis_testing: 0.412, usercpu_time_millis_training: 3.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7381, kappa: 0.3515, kb_relative_information_score: 186.5334, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7451, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8805, scimark_benchmark: 1726.7615, usercpu_time_millis: 4.125, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 3.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.1407, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1717.6143, usercpu_time_millis: 2.188, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7341, kappa: 0.3413, kb_relative_information_score: 173.9718, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7414, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8828, scimark_benchmark: 1841.6868, usercpu_time_millis: 2.623, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.667, kappa: 0.1787, kb_relative_information_score: 119.7489, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7126, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.419, root_relative_squared_error: 0.9144, scimark_benchmark: 1867.0657, usercpu_time_millis: 2.517, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 2.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.5965, kappa: 0.0395, kb_relative_information_score: 93.2519, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7642, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9249, scimark_benchmark: 1692.7715, usercpu_time_millis: 1.752, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7517, kappa: 0.3863, kb_relative_information_score: 186.123, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7571, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8077, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8842, scimark_benchmark: 1835.703, usercpu_time_millis: 0.996, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3932, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1848.6226, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 0.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7582, kappa: 0.406, kb_relative_information_score: 212.7671, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7585, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8819, scimark_benchmark: 1844.6953, usercpu_time_millis: 14.291, usercpu_time_millis_testing: 0.739, usercpu_time_millis_training: 13.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.7478, kappa: 0.3783, kb_relative_information_score: 202.3323, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7499, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8808, scimark_benchmark: 1864.9656, usercpu_time_millis: 12.891, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 12.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7405, kappa: 0.3584, kb_relative_information_score: 207.1684, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8735, scimark_benchmark: 1853.5846, usercpu_time_millis: 13.877, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 12.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7102, kappa: 0.2801, kb_relative_information_score: 158.1444, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7243, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.8357, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8959, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.611, usercpu_time_millis_testing: 0.513, usercpu_time_millis_training: 4.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.743, kappa: 0.3643, kb_relative_information_score: 188.9441, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7486, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8789, scimark_benchmark: 1868.1832, usercpu_time_millis: 4.899, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 4.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.6652, kappa: 0.179, kb_relative_information_score: 126.5785, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7403, predictive_accuracy: 0.733, prior_entropy: 0.8818, recall: 0.733, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.416, root_relative_squared_error: 0.9077, scimark_benchmark: 1864.9656, usercpu_time_millis: 2.973, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7405, kappa: 0.3584, kb_relative_information_score: 183.7295, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7449, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8838, scimark_benchmark: 1851.3287, usercpu_time_millis: 5.939, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 5.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7328, kappa: 0.3378, kb_relative_information_score: 176.9721, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7402, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.406, root_relative_squared_error: 0.886, scimark_benchmark: 1835.5512, usercpu_time_millis: 3.458, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 3.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.735, kappa: 0.346, kb_relative_information_score: 182.7266, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7367, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8989, scimark_benchmark: 1842.6679, usercpu_time_millis: 2.619, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 2.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.6976, kappa: 0.2494, kb_relative_information_score: 142.623, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7259, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.901, scimark_benchmark: 1843.1261, usercpu_time_millis: 3.066, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7477, kappa: 0.3795, kb_relative_information_score: 201.4173, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.748, predictive_accuracy: 0.761, prior_entropy: 0.8818, recall: 0.761, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8844, scimark_benchmark: 1830.0129, usercpu_time_millis: 3.467, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 3.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.5783, kappa: 0.0027, kb_relative_information_score: 83.2507, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6403, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9344, scimark_benchmark: 1865.4965, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.6003, kappa: 0.0465, kb_relative_information_score: 102.6096, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7489, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9212, scimark_benchmark: 1832.2675, usercpu_time_millis: 2.686, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 2.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.0839, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.509, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.5765, kb_relative_information_score: 72.0118, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9366, scimark_benchmark: 1839.9801, usercpu_time_millis: 2.537, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.2467, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1840.1194, usercpu_time_millis: 1.573, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7455, kappa: 0.3696, kb_relative_information_score: 188.9503, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.754, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8776, scimark_benchmark: 1864.4376, usercpu_time_millis: 5.696, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 5.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7388, kappa: 0.3516, kb_relative_information_score: 178.4833, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7533, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8807, scimark_benchmark: 1844.6953, usercpu_time_millis: 1.688, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.0747, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1856.3619, usercpu_time_millis: 1.563, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.5765, kb_relative_information_score: 83.8736, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.9345, scimark_benchmark: 1766.269, usercpu_time_millis: 0.367, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: 0.3705, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1860.139, usercpu_time_millis: 0.738, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7508, kappa: 0.3837, kb_relative_information_score: 194.4827, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7573, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.876, scimark_benchmark: 1794.1039, usercpu_time_millis: 8.925, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 8.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7276, kappa: 0.3251, kb_relative_information_score: 177.462, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7338, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8882, scimark_benchmark: 1765.7561, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 4.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7436, kappa: 0.3671, kb_relative_information_score: 192.3553, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7462, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8902, scimark_benchmark: 1764.1231, usercpu_time_millis: 3.15, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 2.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.6229, kappa: 0.088, kb_relative_information_score: 110.2987, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7118, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.42, root_relative_squared_error: 0.9164, scimark_benchmark: 1763.7154, usercpu_time_millis: 2.53, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.5937, kappa: 0.0329, kb_relative_information_score: 95.1793, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7335, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9271, scimark_benchmark: 1757.5854, usercpu_time_millis: 1.534, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.5765, kb_relative_information_score: 49.8411, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9575, scimark_benchmark: 1759.6686, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7543, kappa: 0.3929, kb_relative_information_score: 197.918, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7595, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1799.1887, usercpu_time_millis: 1.956, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7611, kappa: 0.4131, kb_relative_information_score: 208.287, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7619, predictive_accuracy: 0.773, prior_entropy: 0.8818, recall: 0.773, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8781, scimark_benchmark: 1752.3299, usercpu_time_millis: 15.576, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 14.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7491, kappa: 0.3809, kb_relative_information_score: 213.1316, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7522, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.781, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8781, scimark_benchmark: 1722.6118, usercpu_time_millis: 14.993, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 13.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7537, kappa: 0.3967, kb_relative_information_score: 210.9921, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7525, predictive_accuracy: 0.764, prior_entropy: 0.8818, recall: 0.764, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8811, scimark_benchmark: 1756.4292, usercpu_time_millis: 6.65, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 6.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7392, kappa: 0.355, kb_relative_information_score: 189.0102, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8862, scimark_benchmark: 1863.5242, usercpu_time_millis: 7.5, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 6.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.755, kappa: 0.3966, kb_relative_information_score: 206.1273, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8743, scimark_benchmark: 1864.9656, usercpu_time_millis: 7.325, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 6.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7466, kappa: 0.3743, kb_relative_information_score: 205.1553, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7498, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8746, scimark_benchmark: 1860.2646, usercpu_time_millis: 6.916, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 6.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7563, kappa: 0.3998, kb_relative_information_score: 204.5871, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7582, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8737, scimark_benchmark: 1969.5275, usercpu_time_millis: 4.966, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 4.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7367, kappa: 0.3491, kb_relative_information_score: 184.5572, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.74, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.8078, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8907, scimark_benchmark: 1977.4308, usercpu_time_millis: 5.564, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 5.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.7324, kappa: 0.3593, kb_relative_information_score: 207.0355, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7311, predictive_accuracy: 0.734, prior_entropy: 0.8818, recall: 0.734, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9542, scimark_benchmark: 1751.8455, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.609, kappa: 0.0645, kb_relative_information_score: 103.244, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7618, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.9212, scimark_benchmark: 1857.269, usercpu_time_millis: 4.237, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 3.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7387, kappa: 0.3536, kb_relative_information_score: 198.0316, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7437, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8766, scimark_benchmark: 1748.5628, usercpu_time_millis: 2.815, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 2.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.6535, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1754.9203, usercpu_time_millis: 2.317, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -0.28, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1764.4152, usercpu_time_millis: 0.653, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.6862, kappa: 0.2241, kb_relative_information_score: 134.2546, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7333, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.9053, scimark_benchmark: 1752.6073, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.5852, kappa: 0.0166, kb_relative_information_score: 88.7254, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7318, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.9292, scimark_benchmark: 1855.1417, usercpu_time_millis: 1.565, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7288, kappa: 0.3271, kb_relative_information_score: 181.4957, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7395, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.88, scimark_benchmark: 1861.9671, usercpu_time_millis: 2.035, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.7569, kappa: 0.4028, kb_relative_information_score: 215.8395, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7573, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7769, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8803, scimark_benchmark: 1834.467, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.7074, kappa: 0.2731, kb_relative_information_score: 145.5579, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7316, predictive_accuracy: 0.745, prior_entropy: 0.8818, recall: 0.745, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.9025, scimark_benchmark: 1848.1593, usercpu_time_millis: 2.588, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 2.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.5765, kb_relative_information_score: 53.7428, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9572, scimark_benchmark: 1848.6062, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.597, kappa: 0.0415, kb_relative_information_score: 94.1261, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7945, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.926, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7491, kappa: 0.3803, kb_relative_information_score: 197.145, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7534, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8784, scimark_benchmark: 1693.8451, usercpu_time_millis: 10.736, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 9.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7601, kappa: 0.409, kb_relative_information_score: 204.0908, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7628, predictive_accuracy: 0.774, prior_entropy: 0.8818, recall: 0.774, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8789, scimark_benchmark: 1861.8338, usercpu_time_millis: 9.215, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 8.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7547, kappa: 0.3947, kb_relative_information_score: 204.5729, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7581, predictive_accuracy: 0.77, prior_entropy: 0.8818, recall: 0.77, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8757, scimark_benchmark: 1856.7467, usercpu_time_millis: 6.837, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 6.3,

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