OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 9910 Supervised Classification Bioresponse 17585 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

17585 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 887.6441, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8724, scimark_benchmark: 1838.2459, usercpu_time_millis: 81.042, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 79.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 857.0328, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8765, scimark_benchmark: 1848.8462, usercpu_time_millis: 107.506, usercpu_time_millis_testing: 1.054, usercpu_time_millis_training: 106.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7525, kappa: 0.5005, kb_relative_information_score: 906.1017, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8572, scimark_benchmark: 1852.9259, usercpu_time_millis: 128.113, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 126.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.1237, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1849.3014, usercpu_time_millis: 4.78, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 4.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0574, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 5.215, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 4.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7371, kappa: 0.471, kb_relative_information_score: 802.2624, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7375, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.874, scimark_benchmark: 1859.1356, usercpu_time_millis: 233.17, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 231.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7557, kappa: 0.5071, kb_relative_information_score: 1089.0084, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8363, scimark_benchmark: 1819.9868, usercpu_time_millis: 196.375, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 195.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 867.1763, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8786, scimark_benchmark: 1855.0232, usercpu_time_millis: 197.126, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 195.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7383, kappa: 0.4731, kb_relative_information_score: 982.307, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8525, scimark_benchmark: 1827.0906, usercpu_time_millis: 500.111, usercpu_time_millis_testing: 1.976, usercpu_time_millis_training: 498.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0932, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1746.9188, usercpu_time_millis: 10.084, usercpu_time_millis_testing: 1.572, usercpu_time_millis_training: 8.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.75, kappa: 0.4957, kb_relative_information_score: 832.7739, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7503, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8622, scimark_benchmark: 1735.1328, usercpu_time_millis: 26.674, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 25.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7495, kappa: 0.4945, kb_relative_information_score: 877.646, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7506, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1733.81, usercpu_time_millis: 125.512, usercpu_time_millis_testing: 1.864, usercpu_time_millis_training: 123.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8035, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 970.8089, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.78, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8661, scimark_benchmark: 1726.9813, usercpu_time_millis: 359.331, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 357.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7641, kappa: 0.524, kb_relative_information_score: 1229.954, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.767, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.8224, scimark_benchmark: 1723.4582, usercpu_time_millis: 194.204, usercpu_time_millis_testing: 0.909, usercpu_time_millis_training: 193.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.075, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1746.9188, usercpu_time_millis: 9.335, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 7.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2788, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1835.7157, usercpu_time_millis: 4.877, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 4.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7149, kappa: 0.4248, kb_relative_information_score: 540.772, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7151, predictive_accuracy: 0.7158, prior_entropy: 0.9948, recall: 0.7158, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9077, scimark_benchmark: 1804.3026, usercpu_time_millis: 16.692, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 15.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.3257, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1772.4873, usercpu_time_millis: 4.66, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1784, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1780.3365, usercpu_time_millis: 8.423, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 7.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7879, kappa: 0.5721, kb_relative_information_score: 1129.0236, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7881, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8103, scimark_benchmark: 1772.1664, usercpu_time_millis: 37.724, usercpu_time_millis_testing: 3.111, usercpu_time_millis_training: 34.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 766.2401, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8833, scimark_benchmark: 1786.4339, usercpu_time_millis: 41.743, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 40.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.755, kappa: 0.5057, kb_relative_information_score: 1250.4281, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243, scimark_benchmark: 1755.7828, usercpu_time_millis: 91.922, usercpu_time_millis_testing: 0.818, usercpu_time_millis_training: 91.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 834.2972, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1811.7664, usercpu_time_millis: 76.296, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 75.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 836.2455, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8794, scimark_benchmark: 1770.2376, usercpu_time_millis: 133.145, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 131.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7459, kappa: 0.4874, kb_relative_information_score: 761.7239, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.746, predictive_accuracy: 0.7465, prior_entropy: 0.9948, recall: 0.7465, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8763, scimark_benchmark: 1758.2471, usercpu_time_millis: 166.556, usercpu_time_millis_testing: 2.048, usercpu_time_millis_training: 164.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1535, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1812.1403, usercpu_time_millis: 6.065, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 5.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0804, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1726.9824, usercpu_time_millis: 8.547, usercpu_time_millis_testing: 1.416, usercpu_time_millis_training: 7.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.7021, kappa: 0.3988, kb_relative_information_score: 453.0986, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.7038, prior_entropy: 0.9948, recall: 0.7038, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9223, scimark_benchmark: 1769.5856, usercpu_time_millis: 6.336, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 5.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0498, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1773.3853, usercpu_time_millis: 8.133, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 6.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1599, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1776.2523, usercpu_time_millis: 8.1, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 6.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0997, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.7639, usercpu_time_millis: 8.612, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 7.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.4258, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1832.5979, usercpu_time_millis: 5.068, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 4.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7369, kappa: 0.4709, kb_relative_information_score: 877.8194, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.8688, scimark_benchmark: 1854.4431, usercpu_time_millis: 254.77, usercpu_time_millis_testing: 1.88, usercpu_time_millis_training: 252.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0816, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1811.7508, usercpu_time_millis: 5.776, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 4.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7374, kappa: 0.4716, kb_relative_information_score: 662.1557, mean_absolute_error: 0.426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8913, scimark_benchmark: 1821.988, usercpu_time_millis: 44.987, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 44.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7368, kappa: 0.4705, kb_relative_information_score: 805.7397, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8733, scimark_benchmark: 1896.5917, usercpu_time_millis: 104.435, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 103.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.6835, kappa: 0.363, kb_relative_information_score: 990.6634, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6838, predictive_accuracy: 0.6833, prior_entropy: 0.9948, recall: 0.6833, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4567, root_relative_squared_error: 0.9166, scimark_benchmark: 1800.0404, usercpu_time_millis: 4.511, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 3.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.036, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1834.2399, usercpu_time_millis: 7.75, usercpu_time_millis_testing: 1.184, usercpu_time_millis_training: 6.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7646, kappa: 0.5249, kb_relative_information_score: 1134.1165, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8224, scimark_benchmark: 1858.6076, usercpu_time_millis: 116.87, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 115.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 906.6723, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8713, scimark_benchmark: 1821.8602, usercpu_time_millis: 129.662, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 128.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 887.1569, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8785, scimark_benchmark: 1834.6178, usercpu_time_millis: 235.575, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 233.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 987.6981, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1900.324, usercpu_time_millis: 442.709, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 441.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 828.7838, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1812.8618, usercpu_time_millis: 117.768, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 116.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7366, kappa: 0.4702, kb_relative_information_score: 674.401, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.8917, scimark_benchmark: 1836.6789, usercpu_time_millis: 210.4, usercpu_time_millis_testing: 1.629, usercpu_time_millis_training: 208.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.7747, kappa: 0.5457, kb_relative_information_score: 1135.7325, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7747, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8144, scimark_benchmark: 1847.8629, usercpu_time_millis: 13.979, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 12.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 905.7174, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7976, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8718, scimark_benchmark: 1832.7114, usercpu_time_millis: 138.605, usercpu_time_millis_testing: 1.067, usercpu_time_millis_training: 137.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.7792, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1724.8648, usercpu_time_millis: 4.874, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 4.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0669, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 8.418, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 6.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.6887, kappa: 0.374, kb_relative_information_score: 348.7733, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6972, predictive_accuracy: 0.6945, prior_entropy: 0.9948, recall: 0.6945, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9383, scimark_benchmark: 1852.9988, usercpu_time_millis: 15.402, usercpu_time_millis_testing: 1.296, usercpu_time_millis_training: 14.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.762, kappa: 0.5198, kb_relative_information_score: 1233.2756, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.764, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8212, scimark_benchmark: 1725.8581, usercpu_time_millis: 227.352, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 226.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 945.7775, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8756, scimark_benchmark: 1851.8968, usercpu_time_millis: 59.131, usercpu_time_millis_testing: 0.821, usercpu_time_millis_training: 58.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7488, kappa: 0.4932, kb_relative_information_score: 863.0617, mean_absolute_error: 0.4012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7515, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.86, scimark_benchmark: 1854.9533, usercpu_time_millis: 230.425, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 228.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -1.2115, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0001, scimark_benchmark: 1872.3646, usercpu_time_millis: 4.044, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 3.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7783, kappa: 0.5527, kb_relative_information_score: 1419.0897, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7788, predictive_accuracy: 0.779, prior_entropy: 0.9948, recall: 0.779, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7935, scimark_benchmark: 1739.1321, usercpu_time_millis: 160.455, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 159.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 795.0452, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8819, scimark_benchmark: 1084.4482, usercpu_time_millis: 348.037, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 345.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.7575, kappa: 0.5108, kb_relative_information_score: 977.5546, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7607, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8458, scimark_benchmark: 1062.62, usercpu_time_millis: 327.03, usercpu_time_millis_testing: 2.531, usercpu_time_millis_training: 324.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7723, kappa: 0.5404, kb_relative_information_score: 1242.2731, mean_absolute_error: 0.3506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1059.0003, usercpu_time_millis: 163.951, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 162.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7573, kappa: 0.5103, kb_relative_information_score: 1022.3326, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8404, scimark_benchmark: 1733.8711, usercpu_time_millis: 191.4, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 189.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7556, kappa: 0.5068, kb_relative_information_score: 903.3927, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7582, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.8545, scimark_benchmark: 1735.633, usercpu_time_millis: 220.174, usercpu_time_millis_testing: 2.254, usercpu_time_millis_training: 217.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0713, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.9259, usercpu_time_millis: 4.831, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.1401, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1153.3742, usercpu_time_millis: 12.66, usercpu_time_millis_testing: 1.737, usercpu_time_millis_training: 10.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1689, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1077.325, usercpu_time_millis: 12.473, usercpu_time_millis_testing: 1.957, usercpu_time_millis_training: 10.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7383, kappa: 0.4729, kb_relative_information_score: 780.6481, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7384, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.8754, scimark_benchmark: 1740.0638, usercpu_time_millis: 140.076, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 138.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0016, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1716.99, usercpu_time_millis: 5.772, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 4.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.6485, kappa: 0.3028, kb_relative_information_score: 257.9334, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6749, predictive_accuracy: 0.6638, prior_entropy: 0.9948, recall: 0.6638, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9537, scimark_benchmark: 1854.9533, usercpu_time_millis: 13.669, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 12.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7172, kappa: 0.4294, kb_relative_information_score: 654.3119, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7173, predictive_accuracy: 0.7179, prior_entropy: 0.9948, recall: 0.7179, relative_absolute_error: 0.8574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8895, scimark_benchmark: 1739.5967, usercpu_time_millis: 12.103, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 11.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8066, kappa: 0.6101, kb_relative_information_score: 1429.4862, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7694, scimark_benchmark: 1832.6275, usercpu_time_millis: 57.54, usercpu_time_millis_testing: 1.761, usercpu_time_millis_training: 55.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.764, kappa: 0.5237, kb_relative_information_score: 1446.2991, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7647, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1799.2235, usercpu_time_millis: 138.807, usercpu_time_millis_testing: 138.07, usercpu_time_millis_training: 0.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1034.8307, usercpu_time_millis: 320.676, usercpu_time_millis_testing: 319.148, usercpu_time_millis_training: 1.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1077.3327, usercpu_time_millis: 310.666, usercpu_time_millis_testing: 309.148, usercpu_time_millis_training: 1.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1084.5746, usercpu_time_millis: 319.493, usercpu_time_millis_testing: 317.801, usercpu_time_millis_training: 1.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1384.7857, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1204.6427, usercpu_time_millis: 265.423, usercpu_time_millis_testing: 264.033, usercpu_time_millis_training: 1.39,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1034.2689, usercpu_time_millis: 331.232, usercpu_time_millis_testing: 329.725, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 2140.5543, usercpu_time_millis: 76.702, usercpu_time_millis_testing: 76.083, usercpu_time_millis_training: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7577, kappa: 0.5112, kb_relative_information_score: 1667.2524, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1713.4448, usercpu_time_millis: 112.56, usercpu_time_millis_testing: 111.694, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1204.3748, usercpu_time_millis: 191.192, usercpu_time_millis_testing: 189.879, usercpu_time_millis_training: 1.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1738.1343, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9073, scimark_benchmark: 1204.2058, usercpu_time_millis: 197.624, usercpu_time_millis_testing: 196.264, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1210.1541, usercpu_time_millis: 258.775, usercpu_time_millis_testing: 257.349, usercpu_time_millis_training: 1.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1687.7642, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8599, scimark_benchmark: 1741.1292, usercpu_time_millis: 90.382, usercpu_time_millis_testing: 89.654, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1725.7271, usercpu_time_millis: 103.081, usercpu_time_millis_testing: 102.36, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7629, kappa: 0.5218, kb_relative_information_score: 1599.8574, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8205, scimark_benchmark: 1209.702, usercpu_time_millis: 197.614, usercpu_time_millis_testing: 196.219, usercpu_time_millis_training: 1.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7653, kappa: 0.5264, kb_relative_information_score: 1457.7149, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8095, scimark_benchmark: 1054.7177, usercpu_time_millis: 319.277, usercpu_time_millis_testing: 317.702, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7646, kappa: 0.525, kb_relative_information_score: 1481.7546, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9948, recall: 0.7654, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8098, scimark_benchmark: 1059.4023, usercpu_time_millis: 316.611, usercpu_time_millis_testing: 315.041, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1207.1328, usercpu_time_millis: 216.571, usercpu_time_millis_testing: 215.192, usercpu_time_millis_training: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7599, kappa: 0.5154, kb_relative_information_score: 1357.9796, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7613, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8121, scimark_benchmark: 1207.6644, usercpu_time_millis: 238.903, usercpu_time_millis_testing: 237.533, usercpu_time_millis_training: 1.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1070.5414, usercpu_time_millis: 315.887, usercpu_time_millis_testing: 314.279, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.7683, kappa: 0.5327, kb_relative_information_score: 1566.9641, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7685, predictive_accuracy: 0.7689, prior_entropy: 0.9948, recall: 0.7689, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8154, scimark_benchmark: 1849.3014, usercpu_time_millis: 98.516, usercpu_time_millis_testing: 97.808, usercpu_time_millis_training: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7662, kappa: 0.5283, kb_relative_information_score: 1551.4043, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7664, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8137, scimark_benchmark: 1733.6674, usercpu_time_millis: 105.843, usercpu_time_millis_testing: 105.11, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1052.3195, usercpu_time_millis: 291.706, usercpu_time_millis_testing: 290.046, usercpu_time_millis_training: 1.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1070.0098, usercpu_time_millis: 466.353, usercpu_time_millis_testing: 464.684, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7605, kappa: 0.5167, kb_relative_information_score: 1375.5566, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7617, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8113, scimark_benchmark: 1072.3466, usercpu_time_millis: 557.399, usercpu_time_millis_testing: 555.736, usercpu_time_millis_training: 1.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1043.21, usercpu_time_millis: 541.01, usercpu_time_millis_testing: 539.375, usercpu_time_millis_training: 1.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7669, kappa: 0.5298, kb_relative_information_score: 1536.4395, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7672, predictive_accuracy: 0.7675, prior_entropy: 0.9948, recall: 0.7675, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1204.1427, usercpu_time_millis: 197.672, usercpu_time_millis_testing: 196.29, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.7673, kappa: 0.5305, kb_relative_information_score: 1494.5617, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7678, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 2063.7684, usercpu_time_millis: 95.359, usercpu_time_millis_testing: 94.742, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7423, kappa: 0.4802, kb_relative_information_score: 1711.9864, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7423, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8784, scimark_benchmark: 1807.0041, usercpu_time_millis: 217.77, usercpu_time_millis_testing: 216.947, usercpu_time_millis_training: 0.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7612, kappa: 0.518, kb_relative_information_score: 1403.9983, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7622, prior_entropy: 0.9948, recall: 0.7622, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1243.2967, usercpu_time_millis: 259.481, usercpu_time_millis_testing: 258.084, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7685, kappa: 0.5329, kb_relative_information_score: 1507.9174, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7688, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1117.0581, usercpu_time_millis: 350.741, usercpu_time_millis_testing: 349.192, usercpu_time_millis_training: 1.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7589, kappa: 0.5137, kb_relative_information_score: 1648.8619, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7591, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8373, scimark_benchmark: 1140.1176, usercpu_time_millis: 346.738, usercpu_time_millis_testing: 345.146, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7674, kappa: 0.5308, kb_relative_information_score: 1521.9462, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7677, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8114, scimark_benchmark: 1741.5699, usercpu_time_millis: 101.17, usercpu_time_millis_testing: 100.459, usercpu_time_millis_training: 0.711,

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