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: 0.4998, f_measure: 0.3813, kb_relative_information_score: -0.4083, 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: 1855.4813, usercpu_time_millis: 5.178, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 4.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1623, 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: 1810.3123, usercpu_time_millis: 6.289, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 5.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1092, 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: 1816.5209, usercpu_time_millis: 9.076, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 7.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2044, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 8.273, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 6.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5128, 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: 1855.0232, usercpu_time_millis: 4.667, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1508, 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: 1907.2085, usercpu_time_millis: 4.911, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 4.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7189, kappa: 0.4328, kb_relative_information_score: 474.793, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7199, predictive_accuracy: 0.7203, prior_entropy: 0.9948, recall: 0.7203, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9178, scimark_benchmark: 1856.5802, usercpu_time_millis: 10.813, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 10.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1372, 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: 1811.6643, usercpu_time_millis: 10.14, usercpu_time_millis_testing: 1.439, usercpu_time_millis_training: 8.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7453, kappa: 0.4863, kb_relative_information_score: 756.5777, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7452, predictive_accuracy: 0.7457, prior_entropy: 0.9948, recall: 0.7457, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.8769, scimark_benchmark: 1849.9292, usercpu_time_millis: 7.056, usercpu_time_millis_testing: 0.661, usercpu_time_millis_training: 6.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.1279, 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: 8.386, usercpu_time_millis_testing: 1.312, usercpu_time_millis_training: 7.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0884, 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: 1848.8462, usercpu_time_millis: 9.679, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 8.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.7855, kappa: 0.5674, kb_relative_information_score: 1446.8473, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7856, predictive_accuracy: 0.7859, prior_entropy: 0.9948, recall: 0.7859, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.7907, scimark_benchmark: 1814.1578, usercpu_time_millis: 23.952, usercpu_time_millis_testing: 0.766, usercpu_time_millis_training: 23.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.7528, kappa: 0.5011, kb_relative_information_score: 1203.6224, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.755, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8328, scimark_benchmark: 1844.3569, usercpu_time_millis: 12.693, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 12.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0271, 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: 8.482, usercpu_time_millis_testing: 1.354, usercpu_time_millis_training: 7.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.7069, kappa: 0.4086, kb_relative_information_score: 423.0324, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7095, predictive_accuracy: 0.7094, prior_entropy: 0.9948, recall: 0.7094, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9262, scimark_benchmark: 1819.4765, usercpu_time_millis: 6.865, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 6.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3813, kb_relative_information_score: 0.0737, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1780.1733, usercpu_time_millis: 6.258, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 5.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7908, kappa: 0.5781, kb_relative_information_score: 1265.6035, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1856.6531, usercpu_time_millis: 28.389, usercpu_time_millis_testing: 1.495, usercpu_time_millis_training: 26.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.097, 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: 1821.405, usercpu_time_millis: 9.488, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 7.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1371, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1780.9778, usercpu_time_millis: 7.871, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 6.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7506, kappa: 0.4967, kb_relative_information_score: 1055.1135, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7522, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8432, scimark_benchmark: 1829.6751, usercpu_time_millis: 6.633, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 5.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8113, f_measure: 0.7292, kappa: 0.4537, kb_relative_information_score: 730.8974, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7294, predictive_accuracy: 0.7299, prior_entropy: 0.9948, recall: 0.7299, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8764, scimark_benchmark: 1837.0452, usercpu_time_millis: 22.579, usercpu_time_millis_testing: 2.055, usercpu_time_millis_training: 20.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7109, kappa: 0.4165, kb_relative_information_score: 511.246, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7123, prior_entropy: 0.9948, recall: 0.7123, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9122, scimark_benchmark: 1829.1442, usercpu_time_millis: 8.007, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 7.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.788, kappa: 0.5725, kb_relative_information_score: 1162.7427, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.788, predictive_accuracy: 0.7883, prior_entropy: 0.9948, recall: 0.7883, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8079, scimark_benchmark: 1845.4601, usercpu_time_millis: 46.196, usercpu_time_millis_testing: 1.926, usercpu_time_millis_training: 44.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1845, 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: 1843.1989, usercpu_time_millis: 8.51, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 7.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7517, kappa: 0.4993, kb_relative_information_score: 877.6742, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7521, prior_entropy: 0.9948, recall: 0.7521, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8548, scimark_benchmark: 1846.6923, usercpu_time_millis: 27.796, usercpu_time_millis_testing: 1.949, usercpu_time_millis_training: 25.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7466, kappa: 0.4909, kb_relative_information_score: 1548.1323, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7478, predictive_accuracy: 0.7462, prior_entropy: 0.9948, recall: 0.7462, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8654, scimark_benchmark: 1824.7316, usercpu_time_millis: 15.074, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 14.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1779, 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: 1825.9868, usercpu_time_millis: 5.814, usercpu_time_millis_testing: 0.911, usercpu_time_millis_training: 4.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0641, 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: 1853.3841, usercpu_time_millis: 4.712, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 3.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.2478, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 4.627, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0654, 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: 1834.1863, usercpu_time_millis: 6.404, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 5.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7731, kappa: 0.5424, kb_relative_information_score: 1315.524, mean_absolute_error: 0.3395, 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: 0.6838, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8029, scimark_benchmark: 1855.4813, usercpu_time_millis: 17.258, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 16.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0305, 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: 1733.7613, usercpu_time_millis: 8.73, usercpu_time_millis_testing: 1.28, usercpu_time_millis_training: 7.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 1031.9092, mean_absolute_error: 0.3792, 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: 0.7638, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8546, scimark_benchmark: 1823.7512, usercpu_time_millis: 52.168, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 51.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7775, kappa: 0.5513, kb_relative_information_score: 1153.389, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7776, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8107, scimark_benchmark: 1852.9259, usercpu_time_millis: 10.056, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 8.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.151, 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: 1767.7136, usercpu_time_millis: 6.087, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 5.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1234, 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: 1837.1955, usercpu_time_millis: 5.857, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 4.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6925, kappa: 0.3801, kb_relative_information_score: 421.8948, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6965, predictive_accuracy: 0.6961, prior_entropy: 0.9948, recall: 0.6961, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9266, scimark_benchmark: 1824.7316, usercpu_time_millis: 22.942, usercpu_time_millis_testing: 2.012, usercpu_time_millis_training: 20.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7423, kappa: 0.4799, kb_relative_information_score: 554.9203, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7429, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9055, scimark_benchmark: 1844.677, usercpu_time_millis: 27.563, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 26.693,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1059, 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: 1843.6841, usercpu_time_millis: 10.763, usercpu_time_millis_testing: 1.534, usercpu_time_millis_training: 9.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0258, 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: 1858.1494, usercpu_time_millis: 9.917, usercpu_time_millis_testing: 1.412, usercpu_time_millis_training: 8.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.738, kappa: 0.473, kb_relative_information_score: 974.1104, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.7377, prior_entropy: 0.9948, recall: 0.7377, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8537, scimark_benchmark: 1858.1494, usercpu_time_millis: 52.444, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 51.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7481, kappa: 0.4919, kb_relative_information_score: 740.0187, mean_absolute_error: 0.4163, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7484, predictive_accuracy: 0.7489, prior_entropy: 0.9948, recall: 0.7489, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.87, scimark_benchmark: 1855.4813, usercpu_time_millis: 57.811, usercpu_time_millis_testing: 5.158, usercpu_time_millis_training: 52.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.7506, kappa: 0.4967, kb_relative_information_score: 811.8604, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7517, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8678, scimark_benchmark: 1855.4813, usercpu_time_millis: 26.21, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 25.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7162, kappa: 0.4274, kb_relative_information_score: 596.92, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7165, predictive_accuracy: 0.7171, prior_entropy: 0.9948, recall: 0.7171, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8987, scimark_benchmark: 1853.5818, usercpu_time_millis: 35.383, usercpu_time_millis_testing: 1.673, usercpu_time_millis_training: 33.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7379, kappa: 0.4711, kb_relative_information_score: 485.017, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7386, predictive_accuracy: 0.739, prior_entropy: 0.9948, recall: 0.739, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9165, scimark_benchmark: 1836.1318, usercpu_time_millis: 60.898, usercpu_time_millis_testing: 1.361, usercpu_time_millis_training: 59.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7612, kappa: 0.5199, kb_relative_information_score: 1577.224, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1839.7911, usercpu_time_millis: 34.734, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 34.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1171.25, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8116, scimark_benchmark: 1850.9652, usercpu_time_millis: 37.787, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 36.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.75, kappa: 0.4956, kb_relative_information_score: 872.0535, mean_absolute_error: 0.3997, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7512, predictive_accuracy: 0.7513, prior_entropy: 0.9948, recall: 0.7513, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8574, scimark_benchmark: 1844.149, usercpu_time_millis: 75.401, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 74.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7479, kappa: 0.4912, kb_relative_information_score: 889.7233, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7496, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8553, scimark_benchmark: 1772.6085, usercpu_time_millis: 55.746, usercpu_time_millis_testing: 0.933, usercpu_time_millis_training: 54.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 875.4779, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.858, scimark_benchmark: 1857.5664, usercpu_time_millis: 105.429, usercpu_time_millis_testing: 1.627, usercpu_time_millis_training: 103.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7463, kappa: 0.4887, kb_relative_information_score: 1190.2261, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8433, scimark_benchmark: 1805.5933, usercpu_time_millis: 107.865, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 107.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7632, kappa: 0.5221, kb_relative_information_score: 1133.6485, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.765, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.828, scimark_benchmark: 1846.8212, usercpu_time_millis: 133.157, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 132.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.756, kappa: 0.5077, kb_relative_information_score: 969.0625, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8427, scimark_benchmark: 1856.5802, usercpu_time_millis: 129.745, usercpu_time_millis_testing: 1.548, usercpu_time_millis_training: 128.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.7942, kappa: 0.5849, kb_relative_information_score: 1229.8179, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7942, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7947, scimark_benchmark: 1852.9259, usercpu_time_millis: 83.863, usercpu_time_millis_testing: 3.344, usercpu_time_millis_training: 80.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7767, kappa: 0.5494, kb_relative_information_score: 1190.5167, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7772, predictive_accuracy: 0.7774, prior_entropy: 0.9948, recall: 0.7774, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8125, scimark_benchmark: 1823.8182, usercpu_time_millis: 100.972, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 99.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7535, kappa: 0.5027, kb_relative_information_score: 854.8529, mean_absolute_error: 0.4024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7558, predictive_accuracy: 0.7553, prior_entropy: 0.9948, recall: 0.7553, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8622, scimark_benchmark: 1834.9168, usercpu_time_millis: 122.904, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 121.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7388, kappa: 0.474, kb_relative_information_score: 792.9981, mean_absolute_error: 0.4101, 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: 0.8261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8735, scimark_benchmark: 1848.8462, usercpu_time_millis: 131.186, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 129.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 978.0128, 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: 1818.9456, usercpu_time_millis: 128.54, usercpu_time_millis_testing: 1.345, usercpu_time_millis_training: 127.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7367, kappa: 0.4705, kb_relative_information_score: 697.7685, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7374, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8892, scimark_benchmark: 1781.1584, usercpu_time_millis: 129.892, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 128.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 891.8371, mean_absolute_error: 0.3977, 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: 0.8012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8724, scimark_benchmark: 1853.454, usercpu_time_millis: 157.745, usercpu_time_millis_testing: 1.193, usercpu_time_millis_training: 156.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7575, kappa: 0.511, kb_relative_information_score: 1223.8816, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7575, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1846.1643, usercpu_time_millis: 154.173, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 153.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7716, kappa: 0.5391, kb_relative_information_score: 1240.5522, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7732, predictive_accuracy: 0.7729, prior_entropy: 0.9948, recall: 0.7729, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1727.1732, usercpu_time_millis: 181.545, usercpu_time_millis_testing: 1.044, usercpu_time_millis_training: 180.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7675, kappa: 0.5311, kb_relative_information_score: 982.8311, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8361, scimark_benchmark: 1821.3322, usercpu_time_millis: 151.676, usercpu_time_millis_testing: 4.35, usercpu_time_millis_training: 147.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7366, kappa: 0.4701, kb_relative_information_score: 796.1758, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7371, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.8743, scimark_benchmark: 1857.184, usercpu_time_millis: 154.914, usercpu_time_millis_testing: 1.597, usercpu_time_millis_training: 153.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7566, kappa: 0.5089, kb_relative_information_score: 937.4499, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7586, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8492, scimark_benchmark: 1853.5148, usercpu_time_millis: 211.074, usercpu_time_millis_testing: 1.791, usercpu_time_millis_training: 209.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 933.7234, mean_absolute_error: 0.3923, 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: 0.7902, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8725, scimark_benchmark: 1820.4188, usercpu_time_millis: 190.996, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 189.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7366, kappa: 0.4703, kb_relative_information_score: 712.7573, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8876, scimark_benchmark: 1856.5802, usercpu_time_millis: 221.521, usercpu_time_millis_testing: 1.798, usercpu_time_millis_training: 219.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7474, kappa: 0.4907, kb_relative_information_score: 1180.4204, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7523, predictive_accuracy: 0.7502, prior_entropy: 0.9948, recall: 0.7502, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8395, scimark_benchmark: 1855.0231, usercpu_time_millis: 236.676, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 235.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 901.1996, 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: 0.7987, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8715, scimark_benchmark: 1850.2875, usercpu_time_millis: 247.388, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 245.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 928.943, mean_absolute_error: 0.3929, 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: 0.7914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8739, scimark_benchmark: 1828.158, usercpu_time_millis: 306.144, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 304.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7561, kappa: 0.508, kb_relative_information_score: 1251.9211, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7594, predictive_accuracy: 0.7582, prior_entropy: 0.9948, recall: 0.7582, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8234, scimark_benchmark: 1722.1338, usercpu_time_millis: 354.563, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 353.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.1217, 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: 1801.6523, usercpu_time_millis: 9.155, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 7.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3813, kb_relative_information_score: -0.0761, 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: 1809.8283, usercpu_time_millis: 4.43, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 3.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1164, 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: 1755.7828, usercpu_time_millis: 7.532, usercpu_time_millis_testing: 1.179, usercpu_time_millis_training: 6.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3813, kb_relative_information_score: -0.094, 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: 1810.5139, usercpu_time_millis: 5.085, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: -0.0643, 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: 1811.2636, usercpu_time_millis: 9.408, usercpu_time_millis_testing: 1.429, usercpu_time_millis_training: 7.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3813, kb_relative_information_score: 0.0824, 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: 1799.0909, usercpu_time_millis: 9.927, usercpu_time_millis_testing: 1.457, usercpu_time_millis_training: 8.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, 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: 1806.3111, usercpu_time_millis: 9.405, usercpu_time_millis_testing: 1.506, usercpu_time_millis_training: 7.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1044, 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: 1820.6412, usercpu_time_millis: 7.663, usercpu_time_millis_testing: 1.206, usercpu_time_millis_training: 6.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3813, kb_relative_information_score: 0.0133, 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: 1849.4321, usercpu_time_millis: 4.812, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: 0.0267, 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: 1761.1241, usercpu_time_millis: 5.821, usercpu_time_millis_testing: 0.835, usercpu_time_millis_training: 4.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.2064, 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: 1778.7527, usercpu_time_millis: 8.735, usercpu_time_millis_testing: 1.379, usercpu_time_millis_training: 7.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.0258, 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: 1784.4587, usercpu_time_millis: 8.012, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 6.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.3813, kb_relative_information_score: -0.1864, 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: 1848.4347, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 3.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.313, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1779.2309, usercpu_time_millis: 5.877, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 5.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.2781, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1822.9739, usercpu_time_millis: 5.094, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 4.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3813, kb_relative_information_score: -0.1477, 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: 1797.9581, usercpu_time_millis: 7.792, usercpu_time_millis_testing: 1.217, usercpu_time_millis_training: 6.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7252, kappa: 0.4456, kb_relative_information_score: 666.1905, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7253, predictive_accuracy: 0.7259, prior_entropy: 0.9948, recall: 0.7259, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.888, scimark_benchmark: 781.2859, usercpu_time_millis: 16.309, usercpu_time_millis_testing: 1.449, usercpu_time_millis_training: 14.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1545, 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: 1854.9561, usercpu_time_millis: 6.627, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 5.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: 0.0006, 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: 1846.8212, usercpu_time_millis: 10.734, usercpu_time_millis_testing: 1.513, usercpu_time_millis_training: 9.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.0989, 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: 1805.0025, usercpu_time_millis: 6.874, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 5.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7472, kappa: 0.4899, kb_relative_information_score: 665.2732, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7477, predictive_accuracy: 0.7481, prior_entropy: 0.9948, recall: 0.7481, relative_absolute_error: 0.8565, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8888, scimark_benchmark: 1819.4647, usercpu_time_millis: 28.231, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 27.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0328, 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: 1835.8406, usercpu_time_millis: 8.402, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 7.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0076, 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: 1821.2993, usercpu_time_millis: 9.821, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 8.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0858, 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: 1845.264, usercpu_time_millis: 6.898, usercpu_time_millis_testing: 1.074, usercpu_time_millis_training: 5.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7539, kappa: 0.5037, kb_relative_information_score: 903.1525, mean_absolute_error: 0.3949, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7538, predictive_accuracy: 0.7542, prior_entropy: 0.9948, recall: 0.7542, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8511, scimark_benchmark: 1837.345, usercpu_time_millis: 15.728, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 14.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1193, 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: 1814.5596, usercpu_time_millis: 8.933, usercpu_time_millis_testing: 1.36, usercpu_time_millis_training: 7.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 951.7472, mean_absolute_error: 0.3898, 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: 0.7853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.8804, scimark_benchmark: 1828.7666, usercpu_time_millis: 42.816, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 42.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.004, 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: 1798.0499, usercpu_time_millis: 9.751, usercpu_time_millis_testing: 1.336, usercpu_time_millis_training: 8.415,

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