OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 9 people , 11 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 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: 0.7136, f_measure: 0.6757, kappa: 0.3466, kb_relative_information_score: 608.1359, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6805, predictive_accuracy: 0.6801, prior_entropy: 0.9948, recall: 0.6801, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9496, scimark_benchmark: 1725.6937, usercpu_time_millis: 4638.592, usercpu_time_millis_testing: 20.69, usercpu_time_millis_training: 4617.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6783, kappa: 0.3518, kb_relative_information_score: 611.0058, mean_absolute_error: 0.4249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6828, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1857.5664, usercpu_time_millis: 4475.972, usercpu_time_millis_testing: 20.227, usercpu_time_millis_training: 4455.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6784, kappa: 0.352, kb_relative_information_score: 606.9889, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6832, predictive_accuracy: 0.6828, prior_entropy: 0.9948, recall: 0.6828, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9494, scimark_benchmark: 1832.5979, usercpu_time_millis: 4566.37, usercpu_time_millis_testing: 21.321, usercpu_time_millis_training: 4545.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6797, kappa: 0.3548, kb_relative_information_score: 616.223, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6846, predictive_accuracy: 0.6841, prior_entropy: 0.9948, recall: 0.6841, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9492, scimark_benchmark: 1816.0332, usercpu_time_millis: 4556.71, usercpu_time_millis_testing: 19.769, usercpu_time_millis_training: 4536.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0688, 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: 1852.0126, usercpu_time_millis: 7.288, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 6.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0371, 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: 1837.7821, usercpu_time_millis: 10.857, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 9.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7426, kappa: 0.4811, kb_relative_information_score: 877.3222, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7425, predictive_accuracy: 0.7427, prior_entropy: 0.9948, recall: 0.7427, relative_absolute_error: 0.8047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8636, scimark_benchmark: 1822.4414, usercpu_time_millis: 6.585, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 5.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7181, kappa: 0.4311, kb_relative_information_score: 618.125, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7187, predictive_accuracy: 0.7193, prior_entropy: 0.9948, recall: 0.7193, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8955, scimark_benchmark: 1842.3188, usercpu_time_millis: 5.959, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 5.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.1294, 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: 1844.7474, usercpu_time_millis: 7.391, usercpu_time_millis_testing: 1.198, usercpu_time_millis_training: 6.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0143, 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: 1847.7401, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 6.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.4201, 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: 1851.3287, usercpu_time_millis: 5.105, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 4.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0581, 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: 1859.1356, usercpu_time_millis: 8.093, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 6.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0924, 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: 1845.6391, usercpu_time_millis: 7.416, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 6.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0398, 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: 1851.8567, usercpu_time_millis: 5.586, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 4.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1886, 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: 1851.3986, usercpu_time_millis: 6.817, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 5.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1739, 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: 1772.0089, usercpu_time_millis: 5.294, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 4.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.017, 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: 1769.4649, usercpu_time_millis: 7.197, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 6.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.2507, 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: 1818.9456, usercpu_time_millis: 5.725, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 4.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1076, 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: 1846.9558, usercpu_time_millis: 5.91, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 4.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0239, 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: 1815.5992, usercpu_time_millis: 8.139, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 6.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.738, kappa: 0.4734, kb_relative_information_score: 720.3534, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.739, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8872, scimark_benchmark: 1845.264, usercpu_time_millis: 16.012, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 15.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.1121, 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: 1803.5736, usercpu_time_millis: 5.128, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 4.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.6156, 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: 1838.1026, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 3.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0617, 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: 1808.9842, usercpu_time_millis: 7.905, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 6.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7603, kappa: 0.5166, kb_relative_information_score: 1386.1307, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8193, scimark_benchmark: 1850.3603, usercpu_time_millis: 21.479, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 20.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0936, 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: 1811.8207, usercpu_time_millis: 9.257, usercpu_time_millis_testing: 1.375, usercpu_time_millis_training: 7.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7174, kappa: 0.449, kb_relative_information_score: 1641.3867, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7457, predictive_accuracy: 0.7198, prior_entropy: 0.9948, recall: 0.7198, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9025, scimark_benchmark: 1848.3904, usercpu_time_millis: 7.947, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 7.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0699, 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: 1789.8823, usercpu_time_millis: 10.756, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 9.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.783, kappa: 0.5625, kb_relative_information_score: 1243.9575, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8039, scimark_benchmark: 1803.6299, usercpu_time_millis: 15.248, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 14.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0403, 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: 1838.5822, usercpu_time_millis: 8.564, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 7.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.2657, 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: 1833.2764, usercpu_time_millis: 4.167, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 3.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.105, 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: 1811.3189, usercpu_time_millis: 6.028, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 5.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7549, kappa: 0.5054, kb_relative_information_score: 1075.5977, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7572, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8349, scimark_benchmark: 1809.5152, usercpu_time_millis: 17.216, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 16.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.4451, mean_absolute_error: 0.3875, 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: 0.7805, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1818.7477, usercpu_time_millis: 7.709, usercpu_time_millis_testing: 0.665, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1708, 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: 1858.6775, usercpu_time_millis: 8.275, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 6.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0439, 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: 1857.5664, usercpu_time_millis: 4.457, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7557, kappa: 0.5073, kb_relative_information_score: 871.8055, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.8042, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8526, scimark_benchmark: 1840.8345, usercpu_time_millis: 32.023, usercpu_time_millis_testing: 2.314, usercpu_time_millis_training: 29.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0748, 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: 1849.9303, usercpu_time_millis: 6.041, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 5.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.6657, kappa: 0.3304, kb_relative_information_score: 316.8178, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6795, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9438, scimark_benchmark: 1818.6353, usercpu_time_millis: 20.128, usercpu_time_millis_testing: 1.77, usercpu_time_millis_training: 18.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.7936, kappa: 0.5835, kb_relative_information_score: 1302.6986, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7941, predictive_accuracy: 0.7942, prior_entropy: 0.9948, recall: 0.7942, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7902, scimark_benchmark: 1839.1431, usercpu_time_millis: 30.301, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 29.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0298, 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: 1843.3864, usercpu_time_millis: 7.536, usercpu_time_millis_testing: 1.047, usercpu_time_millis_training: 6.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0923, 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: 1836.1651, usercpu_time_millis: 8.468, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 7.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7554, kappa: 0.5064, kb_relative_information_score: 940.7694, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7578, predictive_accuracy: 0.7571, prior_entropy: 0.9948, recall: 0.7571, relative_absolute_error: 0.788, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8487, scimark_benchmark: 1823.3401, usercpu_time_millis: 39.173, usercpu_time_millis_testing: 0.803, usercpu_time_millis_training: 38.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.7361, kappa: 0.469, kb_relative_information_score: 900.8435, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7366, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8636, scimark_benchmark: 1810.2635, usercpu_time_millis: 28.834, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 28.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.6604, kappa: 0.3259, kb_relative_information_score: 262.0464, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6868, predictive_accuracy: 0.6748, prior_entropy: 0.9948, recall: 0.6748, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9529, scimark_benchmark: 1850.2875, usercpu_time_millis: 8.455, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 7.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1504, 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: 1854.0399, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 7.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7354, kappa: 0.4675, kb_relative_information_score: 722.3927, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7357, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8832, scimark_benchmark: 1834.0216, usercpu_time_millis: 50.352, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 49.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.5519, 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: 1842.7105, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 3.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: -0.0349, 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: 1835.1963, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6819, kappa: 0.3599, kb_relative_information_score: 397.5125, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.689, predictive_accuracy: 0.6873, prior_entropy: 0.9948, recall: 0.6873, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9306, scimark_benchmark: 1831.0407, usercpu_time_millis: 12.097, usercpu_time_millis_testing: 1.172, usercpu_time_millis_training: 10.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0883, 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: 1850.5112, usercpu_time_millis: 8.184, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 6.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.5724, kappa: 0.2057, kb_relative_information_score: 168.6255, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6842, predictive_accuracy: 0.6265, prior_entropy: 0.9948, recall: 0.6265, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9692, scimark_benchmark: 1846.8309, usercpu_time_millis: 9.748, usercpu_time_millis_testing: 1.284, usercpu_time_millis_training: 8.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7622, kappa: 0.5202, kb_relative_information_score: 1112.7481, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8253, scimark_benchmark: 1836.0529, usercpu_time_millis: 26.953, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 26.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0721, 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: 787.8104, usercpu_time_millis: 11.6, usercpu_time_millis_testing: 1.688, usercpu_time_millis_training: 9.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7475, kappa: 0.4904, kb_relative_information_score: 633.5388, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7486, prior_entropy: 0.9948, recall: 0.7486, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8938, scimark_benchmark: 1834.6984, usercpu_time_millis: 66.964, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 65.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, 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: 1851.8567, usercpu_time_millis: 5.619, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 4.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.6387, kappa: 0.2902, kb_relative_information_score: 234.8435, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6775, predictive_accuracy: 0.6596, prior_entropy: 0.9948, recall: 0.6596, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9576, scimark_benchmark: 1782.6186, usercpu_time_millis: 6.414, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 5.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1409, 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: 1759.3718, usercpu_time_millis: 7.67, usercpu_time_millis_testing: 1.171, usercpu_time_millis_training: 6.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7188, kappa: 0.4348, kb_relative_information_score: 373.8601, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7296, predictive_accuracy: 0.7243, prior_entropy: 0.9948, recall: 0.7243, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9335, scimark_benchmark: 1812.3516, usercpu_time_millis: 32.453, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 30.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7988, kappa: 0.5941, kb_relative_information_score: 1221.8747, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9948, recall: 0.7993, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.7982, scimark_benchmark: 1821.613, usercpu_time_millis: 54.145, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 51.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7483, kappa: 0.4921, kb_relative_information_score: 822.8103, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8638, scimark_benchmark: 1857.5664, usercpu_time_millis: 56.197, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 54.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7358, kappa: 0.4688, kb_relative_information_score: 698.3439, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7365, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.8859, scimark_benchmark: 1849.8177, usercpu_time_millis: 53.445, usercpu_time_millis_testing: 1.082, usercpu_time_millis_training: 52.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 829.6145, mean_absolute_error: 0.4056, 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: 0.4387, root_relative_squared_error: 0.8805, scimark_benchmark: 1764.9346, usercpu_time_millis: 69.552, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 68.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7562, kappa: 0.5084, kb_relative_information_score: 886.7673, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8534, scimark_benchmark: 1836.1876, usercpu_time_millis: 44.708, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 43.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7246, kappa: 0.4443, kb_relative_information_score: 453.0084, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7264, predictive_accuracy: 0.7265, prior_entropy: 0.9948, recall: 0.7265, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9211, scimark_benchmark: 1783.8383, usercpu_time_millis: 22.628, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 21.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 794.9805, mean_absolute_error: 0.41, 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: 0.8259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8798, scimark_benchmark: 1859.1356, usercpu_time_millis: 63.166, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 62.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7729, kappa: 0.5419, kb_relative_information_score: 1048.3712, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7731, predictive_accuracy: 0.7734, prior_entropy: 0.9948, recall: 0.7734, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.825, scimark_benchmark: 1716.9407, usercpu_time_millis: 40.398, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 37.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.755, kappa: 0.5056, kb_relative_information_score: 963.5215, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8449, scimark_benchmark: 1847.3406, usercpu_time_millis: 63.204, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 62.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7799, kappa: 0.556, kb_relative_information_score: 1279.6757, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8026, scimark_benchmark: 1802.471, usercpu_time_millis: 99.872, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 98.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 881.84, mean_absolute_error: 0.399, 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: 0.8037, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 1858.6775, usercpu_time_millis: 115.785, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 114.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.769, kappa: 0.5339, kb_relative_information_score: 912.4861, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8428, scimark_benchmark: 1853.0716, usercpu_time_millis: 98.237, usercpu_time_millis_testing: 6.38, usercpu_time_millis_training: 91.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7327, kappa: 0.4607, kb_relative_information_score: 705.9795, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7332, predictive_accuracy: 0.7337, prior_entropy: 0.9948, recall: 0.7337, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8822, scimark_benchmark: 1859.1356, usercpu_time_millis: 112.914, usercpu_time_millis_testing: 1.992, usercpu_time_millis_training: 110.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7346, kappa: 0.4658, kb_relative_information_score: 600.3758, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.7345, prior_entropy: 0.9948, recall: 0.7345, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9009, scimark_benchmark: 1845.3975, usercpu_time_millis: 135.287, usercpu_time_millis_testing: 1.524, usercpu_time_millis_training: 133.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7648, kappa: 0.5254, kb_relative_information_score: 1095.9973, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.766, predictive_accuracy: 0.7659, prior_entropy: 0.9948, recall: 0.7659, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.412, root_relative_squared_error: 0.827, scimark_benchmark: 1853.5148, usercpu_time_millis: 140.585, usercpu_time_millis_testing: 1.191, usercpu_time_millis_training: 139.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.769, kappa: 0.534, kb_relative_information_score: 1369.8315, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7699, prior_entropy: 0.9948, recall: 0.7699, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.402, root_relative_squared_error: 0.807, scimark_benchmark: 1842.1882, usercpu_time_millis: 118.019, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 117.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7437, kappa: 0.4829, kb_relative_information_score: 826.2202, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7446, predictive_accuracy: 0.7449, prior_entropy: 0.9948, recall: 0.7449, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8637, scimark_benchmark: 1783.4962, usercpu_time_millis: 110.18, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 107.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 967.0445, mean_absolute_error: 0.3878, 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: 0.7812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1812.706, usercpu_time_millis: 165.541, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 164.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7639, kappa: 0.5236, kb_relative_information_score: 1133.4477, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7653, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8259, scimark_benchmark: 1840.2451, usercpu_time_millis: 118.189, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 117.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.783, kappa: 0.5621, kb_relative_information_score: 1366.437, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.7934, scimark_benchmark: 1799.2518, usercpu_time_millis: 155.597, usercpu_time_millis_testing: 1.036, usercpu_time_millis_training: 154.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.7516, kappa: 0.4987, kb_relative_information_score: 917.0971, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 0.9948, recall: 0.7531, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8522, scimark_benchmark: 1849.0221, usercpu_time_millis: 137.246, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 135.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.7371, kappa: 0.4712, kb_relative_information_score: 823.756, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8723, scimark_benchmark: 1849.3093, usercpu_time_millis: 156.621, usercpu_time_millis_testing: 1.304, usercpu_time_millis_training: 155.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7554, kappa: 0.5067, kb_relative_information_score: 1204.8744, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8287, scimark_benchmark: 1844.7474, usercpu_time_millis: 175.029, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 174.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7381, kappa: 0.474, kb_relative_information_score: 1128.2284, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7396, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8472, scimark_benchmark: 1800.7114, usercpu_time_millis: 163.236, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 162.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7569, kappa: 0.5095, kb_relative_information_score: 959.1105, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7577, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8444, scimark_benchmark: 1806.246, usercpu_time_millis: 169.431, usercpu_time_millis_testing: 2.582, usercpu_time_millis_training: 166.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 874.2047, mean_absolute_error: 0.4, 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: 0.8058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8774, scimark_benchmark: 1859.1356, usercpu_time_millis: 154.648, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 152.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7847, kappa: 0.5655, kb_relative_information_score: 1377.105, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7853, predictive_accuracy: 0.7854, prior_entropy: 0.9948, recall: 0.7854, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7948, scimark_benchmark: 1845.3975, usercpu_time_millis: 182.888, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 181.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7645, kappa: 0.5248, kb_relative_information_score: 1110.0651, mean_absolute_error: 0.3685, 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: 0.7423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8252, scimark_benchmark: 1848.2615, usercpu_time_millis: 162.66, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 161.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7618, kappa: 0.5193, kb_relative_information_score: 1273.1895, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7644, predictive_accuracy: 0.7635, prior_entropy: 0.9948, recall: 0.7635, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202, scimark_benchmark: 1818.7841, usercpu_time_millis: 194.618, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 193.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 898.7728, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7566, predictive_accuracy: 0.7561, prior_entropy: 0.9948, recall: 0.7561, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1769.7371, usercpu_time_millis: 242.546, usercpu_time_millis_testing: 1.817, usercpu_time_millis_training: 240.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7574, kappa: 0.5106, kb_relative_information_score: 1158.3048, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8295, scimark_benchmark: 1758.6167, usercpu_time_millis: 188.295, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 187.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7388, kappa: 0.474, kb_relative_information_score: 959.397, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7389, predictive_accuracy: 0.7387, prior_entropy: 0.9948, recall: 0.7387, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8539, scimark_benchmark: 1835.2001, usercpu_time_millis: 266.169, usercpu_time_millis_testing: 1.724, usercpu_time_millis_training: 264.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 974.7974, mean_absolute_error: 0.3868, 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: 0.7791, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8803, scimark_benchmark: 789.5687, usercpu_time_millis: 237.641, usercpu_time_millis_testing: 2.237, usercpu_time_millis_training: 235.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1356.7467, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.763, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.405, root_relative_squared_error: 0.813, scimark_benchmark: 1840.2451, usercpu_time_millis: 277.175, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 276.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7528, kappa: 0.5012, kb_relative_information_score: 1120.723, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7549, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8413, scimark_benchmark: 1808.9842, usercpu_time_millis: 278.225, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 277.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7557, kappa: 0.5071, kb_relative_information_score: 947.4246, mean_absolute_error: 0.3905, 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: 0.7866, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8491, scimark_benchmark: 1855.0232, usercpu_time_millis: 297.553, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 295.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.7466, kappa: 0.4893, kb_relative_information_score: 1195.5896, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7531, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8342, scimark_benchmark: 1853.454, usercpu_time_millis: 319.182, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 318.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.0592, mean_absolute_error: 0.3863, 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: 0.7782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8811, scimark_benchmark: 789.3389, usercpu_time_millis: 370.997, usercpu_time_millis_testing: 2.043, usercpu_time_millis_training: 368.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7606, kappa: 0.5169, kb_relative_information_score: 1090.7649, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8302, scimark_benchmark: 790.4942, usercpu_time_millis: 385.462, usercpu_time_millis_testing: 2.538, usercpu_time_millis_training: 382.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0708, 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: 5.22, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 4.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1413, 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: 1826.4037, usercpu_time_millis: 9.483, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 8.129,

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