OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
1 likes downloaded by 9 people , 11 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9368 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: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.9089, 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: 1848.8886, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 3.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.6977, kappa: 0.3903, kb_relative_information_score: 444.731, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7006, predictive_accuracy: 0.7006, prior_entropy: 0.9948, recall: 0.7006, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9229, scimark_benchmark: 1837.1638, usercpu_time_millis: 11.641, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 10.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.7805, kappa: 0.5572, kb_relative_information_score: 1221.761, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7806, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8064, scimark_benchmark: 1845.7835, usercpu_time_millis: 47.167, usercpu_time_millis_testing: 1.29, usercpu_time_millis_training: 45.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7616, kappa: 0.5189, kb_relative_information_score: 1097.5116, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7627, predictive_accuracy: 0.7627, prior_entropy: 0.9948, recall: 0.7627, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8309, scimark_benchmark: 1850.9652, usercpu_time_millis: 31.57, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 30.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7597, kappa: 0.5151, kb_relative_information_score: 1034.0633, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7622, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8381, scimark_benchmark: 1848.5681, usercpu_time_millis: 29.171, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 28.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0915, 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: 7.182, usercpu_time_millis_testing: 1.121, usercpu_time_millis_training: 6.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 972.2005, mean_absolute_error: 0.3871, 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: 0.7798, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1846.4335, usercpu_time_millis: 41.26, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 40.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.05, 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: 1832.6225, usercpu_time_millis: 6.785, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 5.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7082, kappa: 0.4111, kb_relative_information_score: 508.5074, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7091, predictive_accuracy: 0.7097, prior_entropy: 0.9948, recall: 0.7097, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9126, scimark_benchmark: 1839.7911, usercpu_time_millis: 27.812, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 26.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0881, 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: 1845.3945, usercpu_time_millis: 6.491, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 5.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 919.007, mean_absolute_error: 0.3942, 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: 0.794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.8741, scimark_benchmark: 1843.7454, usercpu_time_millis: 15.904, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 15.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0717, 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: 1851.4233, usercpu_time_millis: 7.505, usercpu_time_millis_testing: 1.187, usercpu_time_millis_training: 6.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0273, 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: 1850.4554, usercpu_time_millis: 10.093, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 8.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0947, 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: 1846.4335, usercpu_time_millis: 7.296, usercpu_time_millis_testing: 1.232, usercpu_time_millis_training: 6.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0996, 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: 1847.8629, usercpu_time_millis: 8.582, usercpu_time_millis_testing: 1.436, usercpu_time_millis_training: 7.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1034, 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: 1836.2249, usercpu_time_millis: 7.041, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 5.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, 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: 1842.7105, usercpu_time_millis: 8.895, usercpu_time_millis_testing: 1.316, usercpu_time_millis_training: 7.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7538, kappa: 0.5031, kb_relative_information_score: 900.5001, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7545, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1848.372, usercpu_time_millis: 11.721, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 11.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0094, 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: 1854.9533, usercpu_time_millis: 7.369, usercpu_time_millis_testing: 1.117, usercpu_time_millis_training: 6.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1667, 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: 1848.388, usercpu_time_millis: 9.278, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 7.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6894, kappa: 0.3743, kb_relative_information_score: 1412.898, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6894, predictive_accuracy: 0.6894, prior_entropy: 0.9948, recall: 0.6894, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1012, scimark_benchmark: 1837.2112, usercpu_time_millis: 6.549, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 5.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7522, kappa: 0.5001, kb_relative_information_score: 1117.5449, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8329, scimark_benchmark: 1846.4335, usercpu_time_millis: 5.439, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1533, 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: 1850.5803, usercpu_time_millis: 9.288, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 7.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.7224, 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: 1842.0729, usercpu_time_millis: 4.396, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.686, 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: 0.9999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0007, scimark_benchmark: 1833.6549, usercpu_time_millis: 4.157, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 3.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1575, 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: 9.158, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 7.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.1814, 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: 1852.4707, usercpu_time_millis: 4.66, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0762, 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: 1846.4335, usercpu_time_millis: 7.754, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 6.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -1.5807, mean_absolute_error: 0.4966, 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, scimark_benchmark: 1841.1522, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 931.6983, mean_absolute_error: 0.3925, 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: 0.7907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8737, scimark_benchmark: 1839.7911, usercpu_time_millis: 370.162, usercpu_time_millis_testing: 1.647, usercpu_time_millis_training: 368.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.76, kappa: 0.5158, kb_relative_information_score: 1180.4129, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7631, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.828, scimark_benchmark: 1842.3843, usercpu_time_millis: 303.687, usercpu_time_millis_testing: 1.211, usercpu_time_millis_training: 302.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7599, kappa: 0.5156, kb_relative_information_score: 1207.8614, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8263, scimark_benchmark: 1853.9121, usercpu_time_millis: 210.108, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 209.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.76, kappa: 0.5157, kb_relative_information_score: 1033.5119, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7623, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8376, scimark_benchmark: 1854.9533, usercpu_time_millis: 239.031, usercpu_time_millis_testing: 1.857, usercpu_time_millis_training: 237.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7584, kappa: 0.5127, kb_relative_information_score: 1160.0741, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7606, prior_entropy: 0.9948, recall: 0.7606, relative_absolute_error: 0.729, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8291, scimark_benchmark: 1836.0792, usercpu_time_millis: 237.386, usercpu_time_millis_testing: 1.035, usercpu_time_millis_training: 236.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.7382, kappa: 0.4724, kb_relative_information_score: 689.677, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7382, prior_entropy: 0.9948, recall: 0.7382, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8866, scimark_benchmark: 1857.1082, usercpu_time_millis: 176.081, usercpu_time_millis_testing: 1.64, usercpu_time_millis_training: 174.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 931.3053, mean_absolute_error: 0.3926, 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: 0.7908, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8748, scimark_benchmark: 1833.6629, usercpu_time_millis: 232.799, usercpu_time_millis_testing: 1.511, usercpu_time_millis_training: 231.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 984.124, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7598, predictive_accuracy: 0.759, prior_entropy: 0.9948, recall: 0.759, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.844, scimark_benchmark: 1849.408, usercpu_time_millis: 244.648, usercpu_time_millis_testing: 1.803, usercpu_time_millis_training: 242.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.7369, kappa: 0.4707, kb_relative_information_score: 853.5677, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.811, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8684, scimark_benchmark: 1846.4972, usercpu_time_millis: 246.872, usercpu_time_millis_testing: 1.861, usercpu_time_millis_training: 245.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.7572, kappa: 0.51, kb_relative_information_score: 975.7957, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.758, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8421, scimark_benchmark: 1850.2487, usercpu_time_millis: 210.705, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 208.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.7716, kappa: 0.5391, kb_relative_information_score: 1269.6264, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7726, predictive_accuracy: 0.7726, prior_entropy: 0.9948, recall: 0.7726, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8126, scimark_benchmark: 1857.5664, usercpu_time_millis: 128.559, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 127.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7541, kappa: 0.5038, kb_relative_information_score: 1116.3378, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7564, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8411, scimark_benchmark: 1728.7561, usercpu_time_millis: 191.664, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 190.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7519, kappa: 0.4997, kb_relative_information_score: 982.9595, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8485, scimark_benchmark: 1857.5664, usercpu_time_millis: 140.172, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 138.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7464, kappa: 0.4883, kb_relative_information_score: 746.6335, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7469, predictive_accuracy: 0.7473, prior_entropy: 0.9948, recall: 0.7473, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.8778, scimark_benchmark: 1805.0413, usercpu_time_millis: 132.327, usercpu_time_millis_testing: 1.953, usercpu_time_millis_training: 130.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7372, kappa: 0.4717, kb_relative_information_score: 841.1052, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1823.733, usercpu_time_millis: 144.195, usercpu_time_millis_testing: 1.592, usercpu_time_millis_training: 142.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.7509, kappa: 0.4974, kb_relative_information_score: 1039.0605, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7526, prior_entropy: 0.9948, recall: 0.7526, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8414, scimark_benchmark: 1802.6127, usercpu_time_millis: 122.945, usercpu_time_millis_testing: 1.014, usercpu_time_millis_training: 121.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.777, kappa: 0.5501, kb_relative_information_score: 1193.3528, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8124, scimark_benchmark: 1858.2223, usercpu_time_millis: 81.886, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 80.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7369, kappa: 0.4709, kb_relative_information_score: 839.46, mean_absolute_error: 0.4044, 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: 0.8146, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8716, scimark_benchmark: 1834.1659, usercpu_time_millis: 140.496, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 139.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 880.7446, mean_absolute_error: 0.3992, 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: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8773, scimark_benchmark: 1853.9121, usercpu_time_millis: 136.426, usercpu_time_millis_testing: 1.38, usercpu_time_millis_training: 135.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7833, kappa: 0.5628, kb_relative_information_score: 1283.9796, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.784, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6945, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8029, scimark_benchmark: 1836.0792, usercpu_time_millis: 71.532, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 70.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.7374, kappa: 0.4702, kb_relative_information_score: 712.064, mean_absolute_error: 0.4194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7385, prior_entropy: 0.9948, recall: 0.7385, relative_absolute_error: 0.8449, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.8814, scimark_benchmark: 1860.7926, usercpu_time_millis: 108.866, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 106.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.774, kappa: 0.5439, kb_relative_information_score: 1267.941, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8088, scimark_benchmark: 1848.047, usercpu_time_millis: 154.201, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 153.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7374, kappa: 0.4718, kb_relative_information_score: 689.3536, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1834.0484, usercpu_time_millis: 117.827, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 116.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1102.7419, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.416, root_relative_squared_error: 0.835, scimark_benchmark: 1828.1532, usercpu_time_millis: 135.463, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 134.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, f_measure: 0.7498, kappa: 0.4952, kb_relative_information_score: 876.451, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8579, scimark_benchmark: 1841.2811, usercpu_time_millis: 106.034, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 104.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1588.5087, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.7658, scimark_benchmark: 1730.7262, usercpu_time_millis: 129.97, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 129.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 969.7014, 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: 0.4382, root_relative_squared_error: 0.8795, scimark_benchmark: 1836.3211, usercpu_time_millis: 100.028, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 99.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7566, kappa: 0.5089, kb_relative_information_score: 1174.4529, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8266, scimark_benchmark: 1846.4335, usercpu_time_millis: 137.785, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 136.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.7883, kappa: 0.5731, kb_relative_information_score: 1439.8447, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7883, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7883, scimark_benchmark: 1854.4951, usercpu_time_millis: 85.107, usercpu_time_millis_testing: 0.855, usercpu_time_millis_training: 84.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 814.3856, mean_absolute_error: 0.4076, 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: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1841.1577, usercpu_time_millis: 81.07, usercpu_time_millis_testing: 0.983, usercpu_time_millis_training: 80.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7506, kappa: 0.4968, kb_relative_information_score: 1021.8957, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7508, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.7676, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8465, scimark_benchmark: 1848.6795, usercpu_time_millis: 80.984, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 80.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7364, kappa: 0.47, kb_relative_information_score: 708.7855, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7361, prior_entropy: 0.9948, recall: 0.7361, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.8866, scimark_benchmark: 1838.2372, usercpu_time_millis: 109.272, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 107.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7844, kappa: 0.5651, kb_relative_information_score: 1391.8609, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7846, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.7914, scimark_benchmark: 1839.0605, usercpu_time_millis: 69.004, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 68.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.7749, kappa: 0.5458, kb_relative_information_score: 1341.2715, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7753, predictive_accuracy: 0.7755, prior_entropy: 0.9948, recall: 0.7755, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8091, scimark_benchmark: 1859.1356, usercpu_time_millis: 56.814, usercpu_time_millis_testing: 0.768, usercpu_time_millis_training: 56.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 867.8418, mean_absolute_error: 0.4008, 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: 0.8074, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8714, scimark_benchmark: 1778.1071, usercpu_time_millis: 61.674, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 60.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 956.4538, mean_absolute_error: 0.3892, 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: 0.7841, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8775, scimark_benchmark: 1821.7292, usercpu_time_millis: 60.116, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 59.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7544, kappa: 0.5044, kb_relative_information_score: 922.9148, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8531, scimark_benchmark: 1830.7616, usercpu_time_millis: 75.986, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 75.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 973.6251, mean_absolute_error: 0.3869, 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: 0.7794, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8797, scimark_benchmark: 1853.454, usercpu_time_millis: 44.408, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 43.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.806, kappa: 0.6091, kb_relative_information_score: 1511.1463, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.761, scimark_benchmark: 1854.4951, usercpu_time_millis: 41.635, usercpu_time_millis_testing: 1.241, usercpu_time_millis_training: 40.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0211, 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: 1834.1671, usercpu_time_millis: 5.567, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 4.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7159, kappa: 0.4267, kb_relative_information_score: 638.6535, mean_absolute_error: 0.4276, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7162, predictive_accuracy: 0.7169, prior_entropy: 0.9948, recall: 0.7169, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8913, scimark_benchmark: 1858.0974, usercpu_time_millis: 30.503, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 28.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.7807, kappa: 0.5577, kb_relative_information_score: 1029.0114, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.7656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8243, scimark_benchmark: 1854.568, usercpu_time_millis: 26.585, usercpu_time_millis_testing: 3.217, usercpu_time_millis_training: 23.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7549, kappa: 0.5093, kb_relative_information_score: 1572.6802, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7585, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8438, scimark_benchmark: 1795.7951, usercpu_time_millis: 26.998, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 26.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7402, kappa: 0.4764, kb_relative_information_score: 784.5616, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7401, predictive_accuracy: 0.7403, prior_entropy: 0.9948, recall: 0.7403, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1837.345, usercpu_time_millis: 50.822, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 49.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.7587, kappa: 0.5131, kb_relative_information_score: 1054.1127, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7602, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8345, scimark_benchmark: 1797.8352, usercpu_time_millis: 23.793, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 23.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.736, kappa: 0.4673, kb_relative_information_score: 524.9518, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9097, scimark_benchmark: 1854.9533, usercpu_time_millis: 29.269, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 28.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7793, kappa: 0.5546, kb_relative_information_score: 1431.8576, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.78, predictive_accuracy: 0.7801, prior_entropy: 0.9948, recall: 0.7801, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.792, scimark_benchmark: 1853.5148, usercpu_time_millis: 45.555, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 44.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.7702, kappa: 0.5362, kb_relative_information_score: 1266.0202, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7714, predictive_accuracy: 0.7713, prior_entropy: 0.9948, recall: 0.7713, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.8099, scimark_benchmark: 1802.1545, usercpu_time_millis: 17.761, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 17.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7067, kappa: 0.4082, kb_relative_information_score: 500.7304, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7082, predictive_accuracy: 0.7086, prior_entropy: 0.9948, recall: 0.7086, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9139, scimark_benchmark: 1823.1267, usercpu_time_millis: 19.887, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 18.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.8262, mean_absolute_error: 0.3965, 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: 0.7986, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8722, scimark_benchmark: 1851.3986, usercpu_time_millis: 11.744, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 11.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0336, 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: 1856.0123, usercpu_time_millis: 6.908, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 5.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7737, kappa: 0.5436, kb_relative_information_score: 1109.4209, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7739, predictive_accuracy: 0.7742, prior_entropy: 0.9948, recall: 0.7742, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8182, scimark_benchmark: 1853.454, usercpu_time_millis: 6.879, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 6.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0979, 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: 1838.1471, usercpu_time_millis: 7.699, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1108, 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: 1799.6203, usercpu_time_millis: 9.674, usercpu_time_millis_testing: 1.594, usercpu_time_millis_training: 8.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0297, 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: 1844.6953, usercpu_time_millis: 5.942, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 4.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.1116, 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: 1846.6923, usercpu_time_millis: 9.514, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 8.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.9649, 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, scimark_benchmark: 1845.7061, usercpu_time_millis: 4.781, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 4.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1145, 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: 1841.6148, usercpu_time_millis: 5.348, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 4.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0399, 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: 1834.0639, usercpu_time_millis: 6.478, usercpu_time_millis_testing: 0.967, usercpu_time_millis_training: 5.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7377, kappa: 0.4723, kb_relative_information_score: 735.8786, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8859, scimark_benchmark: 1839.1303, usercpu_time_millis: 6.182, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 5.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.2166, 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: 1853.5297, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.8001, kappa: 0.5967, kb_relative_information_score: 1437.1317, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7752, scimark_benchmark: 1835.2642, usercpu_time_millis: 39.606, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 38.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0564, 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: 1854.4431, usercpu_time_millis: 9.16, usercpu_time_millis_testing: 1.282, usercpu_time_millis_training: 7.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.024, 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: 1831.1542, usercpu_time_millis: 6.658, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 5.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1462, 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: 1858.0974, usercpu_time_millis: 9.946, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 8.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0585, 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: 1840.6995, usercpu_time_millis: 6.784, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 5.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.1085, 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: 6.643, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 5.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0963, 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: 1825.1897, usercpu_time_millis: 6.468, usercpu_time_millis_testing: 1.01, usercpu_time_millis_training: 5.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.0873, 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: 1829.1442, usercpu_time_millis: 5.093, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 4.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.0907, 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: 1857.0384, usercpu_time_millis: 5.519, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 4.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.1122, 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: 1835.2001, usercpu_time_millis: 7.418, usercpu_time_millis_testing: 1.164, usercpu_time_millis_training: 6.254,

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