OpenML
Supervised Data Stream Classification on BNG(waveform-5000)

Supervised Data Stream Classification on BNG(waveform-5000)

Task 2167 Supervised Data Stream Classification BNG(waveform-5000) 288 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


Metric:

288 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8919, kappa: 0.8385, kb_relative_information_score: 787234.9189, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8923, predictive_accuracy: 0.8923, prior_entropy: 1.585, recall: 0.8923, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.8922, kappa: 0.8389, kb_relative_information_score: 787271.0829, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8926, predictive_accuracy: 0.8926, prior_entropy: 1.585, recall: 0.8926, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8714, kappa: 0.808, kb_relative_information_score: 824693.2931, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 1.585, recall: 0.872, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 825462.7106, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.6184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8474, kappa: 0.7747, kb_relative_information_score: 794226.0038, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8528, predictive_accuracy: 0.8497, prior_entropy: 1.585, recall: 0.8497, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8474, kappa: 0.7747, kb_relative_information_score: 794226.0038, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8528, predictive_accuracy: 0.8497, prior_entropy: 1.585, recall: 0.8497, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8611, kappa: 0.7934, kb_relative_information_score: 811350.3345, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8628, predictive_accuracy: 0.8622, prior_entropy: 1.585, recall: 0.8622, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8704, kappa: 0.8065, kb_relative_information_score: 823370.7712, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8705, kappa: 0.8066, kb_relative_information_score: 823414.5815, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8704, kappa: 0.8065, kb_relative_information_score: 823335.1754, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.866, kappa: 0.8003, kb_relative_information_score: 817650.7957, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.867, predictive_accuracy: 0.8668, prior_entropy: 1.585, recall: 0.8668, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8661, kappa: 0.8003, kb_relative_information_score: 817713.773, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.867, predictive_accuracy: 0.8669, prior_entropy: 1.585, recall: 0.8669, relative_absolute_error: 0.1997, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8871, kappa: 0.8313, kb_relative_information_score: 793309.9221, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8875, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8871, kappa: 0.8313, kb_relative_information_score: 793309.9221, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8875, predictive_accuracy: 0.8875, prior_entropy: 1.585, recall: 0.8875, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8657, kappa: 0.7998, kb_relative_information_score: 817251.0272, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8667, predictive_accuracy: 0.8665, prior_entropy: 1.585, recall: 0.8665, relative_absolute_error: 0.2002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.856, kappa: 0.7859, kb_relative_information_score: 804477.6018, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8579, predictive_accuracy: 0.8572, prior_entropy: 1.585, recall: 0.8572, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8714, kappa: 0.808, kb_relative_information_score: 824693.2931, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8719, predictive_accuracy: 0.872, prior_entropy: 1.585, recall: 0.872, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.887, kappa: 0.8312, kb_relative_information_score: 793276.0753, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8874, prior_entropy: 1.585, recall: 0.8874, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8909, kappa: 0.8369, kb_relative_information_score: 786933.2501, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8912, predictive_accuracy: 0.8912, prior_entropy: 1.585, recall: 0.8912, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8703, kappa: 0.8062, kb_relative_information_score: 823120.2314, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8708, predictive_accuracy: 0.8708, prior_entropy: 1.585, recall: 0.8708, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8867, kappa: 0.8307, kb_relative_information_score: 793008.6932, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8871, predictive_accuracy: 0.8871, prior_entropy: 1.585, recall: 0.8871, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8704, kappa: 0.8065, kb_relative_information_score: 823370.7712, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 1.585, recall: 0.871, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8919, kappa: 0.8385, kb_relative_information_score: 787707.1351, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8922, predictive_accuracy: 0.8923, prior_entropy: 1.585, recall: 0.8923, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.866, kappa: 0.8003, kb_relative_information_score: 817650.7957, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.867, predictive_accuracy: 0.8668, prior_entropy: 1.585, recall: 0.8668, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.866, kappa: 0.8002, kb_relative_information_score: 817576.8659, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8669, predictive_accuracy: 0.8668, prior_entropy: 1.585, recall: 0.8668, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.298, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8813, kappa: 0.8233, kb_relative_information_score: 694289.7496, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.883, predictive_accuracy: 0.8821, prior_entropy: 1.585, recall: 0.8821, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8696, kappa: 0.8052, kb_relative_information_score: 789935.0181, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.87, predictive_accuracy: 0.8701, prior_entropy: 1.585, recall: 0.8701, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8864, kappa: 0.8303, kb_relative_information_score: 792772.2483, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8864, kappa: 0.8302, kb_relative_information_score: 792776.2171, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8809, kappa: 0.8226, kb_relative_information_score: 694352.9955, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8825, predictive_accuracy: 0.8817, prior_entropy: 1.585, recall: 0.8817, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8812, kappa: 0.8231, kb_relative_information_score: 694312.1795, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8828, predictive_accuracy: 0.882, prior_entropy: 1.585, recall: 0.882, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.872, kappa: 0.8087, kb_relative_information_score: 789895.8235, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 1.585, recall: 0.8725, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8864, kappa: 0.8302, kb_relative_information_score: 792776.2171, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8864, kappa: 0.8302, kb_relative_information_score: 792776.2171, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8812, kappa: 0.823, kb_relative_information_score: 694324.9912, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8828, predictive_accuracy: 0.882, prior_entropy: 1.585, recall: 0.882, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8867, kappa: 0.8307, kb_relative_information_score: 793008.6932, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8871, predictive_accuracy: 0.8871, prior_entropy: 1.585, recall: 0.8871, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.234, root_relative_squared_error: 0.4965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.8864, kappa: 0.8303, kb_relative_information_score: 792772.2483, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.887, kappa: 0.8312, kb_relative_information_score: 793276.0753, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8874, predictive_accuracy: 0.8874, prior_entropy: 1.585, recall: 0.8874, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8848, kappa: 0.828, kb_relative_information_score: 792200.1198, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8853, predictive_accuracy: 0.8853, prior_entropy: 1.585, recall: 0.8853, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8406, kappa: 0.7657, kb_relative_information_score: 634031.232, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8483, predictive_accuracy: 0.8437, prior_entropy: 1.585, recall: 0.8437, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8404, kappa: 0.7695, kb_relative_information_score: 782068.2725, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8597, predictive_accuracy: 0.8462, prior_entropy: 1.585, recall: 0.8462, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8704, kappa: 0.8091, kb_relative_information_score: 670965.962, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8774, predictive_accuracy: 0.8727, prior_entropy: 1.585, recall: 0.8727, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8704, kappa: 0.8091, kb_relative_information_score: 670965.962, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8774, predictive_accuracy: 0.8727, prior_entropy: 1.585, recall: 0.8727, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.5672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.4696, kappa: 0.3494, kb_relative_information_score: 369293.6901, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4281, predictive_accuracy: 0.5663, prior_entropy: 1.585, recall: 0.5663, relative_absolute_error: 0.7096, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8849, kappa: 0.8277, kb_relative_information_score: 793184.5562, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8849, predictive_accuracy: 0.8851, prior_entropy: 1.585, recall: 0.8851, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.5023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8866, kappa: 0.8302, kb_relative_information_score: 777278.6281, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8866, predictive_accuracy: 0.8868, prior_entropy: 1.585, recall: 0.8868, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8404, kappa: 0.7695, kb_relative_information_score: 782048.1812, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8462, prior_entropy: 1.585, recall: 0.8462, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.4384, kappa: 0.3276, kb_relative_information_score: 249183.2161, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.5614, predictive_accuracy: 0.55, prior_entropy: 1.585, recall: 0.55, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.4715, kappa: 0.3532, kb_relative_information_score: 409669.2004, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4279, predictive_accuracy: 0.5688, prior_entropy: 1.585, recall: 0.5688, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.1367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.4575, kappa: 0.3336, kb_relative_information_score: 385363.3203, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4061, predictive_accuracy: 0.5559, prior_entropy: 1.585, recall: 0.5559, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8593, kappa: 0.7894, kb_relative_information_score: 690656.3745, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8594, predictive_accuracy: 0.8596, prior_entropy: 1.585, recall: 0.8596, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8871, kappa: 0.8311, kb_relative_information_score: 554724.1606, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8872, predictive_accuracy: 0.8874, prior_entropy: 1.585, recall: 0.8874, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8711, kappa: 0.8071, kb_relative_information_score: 719091.3856, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8712, predictive_accuracy: 0.8714, prior_entropy: 1.585, recall: 0.8714, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.4652, kappa: 0.3447, kb_relative_information_score: 262960.3242, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.5736, predictive_accuracy: 0.5616, prior_entropy: 1.585, recall: 0.5616, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.4799, kappa: 0.2241, kb_relative_information_score: 291601.9824, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4782, predictive_accuracy: 0.4826, prior_entropy: 1.585, recall: 0.4826, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.2459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8555, kappa: 0.7837, kb_relative_information_score: 674624.0746, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8557, predictive_accuracy: 0.8558, prior_entropy: 1.585, recall: 0.8558, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8508, kappa: 0.7763, kb_relative_information_score: 790248.8539, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8509, predictive_accuracy: 0.8509, prior_entropy: 1.585, recall: 0.8509, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.6166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7834, kappa: 0.6769, kb_relative_information_score: 636277.4395, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7881, predictive_accuracy: 0.7845, prior_entropy: 1.585, recall: 0.7845, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.5463, kappa: 0.4582, kb_relative_information_score: 503191.134, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.731, predictive_accuracy: 0.6375, prior_entropy: 1.585, recall: 0.6375, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4836, root_relative_squared_error: 1.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4382, kappa: 0.3272, kb_relative_information_score: 249031.0996, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4658, predictive_accuracy: 0.5498, prior_entropy: 1.585, recall: 0.5498, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8725, kappa: 0.8094, kb_relative_information_score: 787053.5024, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8729, predictive_accuracy: 0.8729, prior_entropy: 1.585, recall: 0.8729, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.255, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7429, kappa: 0.6142, kb_relative_information_score: 632639.4016, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.744, predictive_accuracy: 0.7428, prior_entropy: 1.585, recall: 0.7428, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8724, kappa: 0.8092, kb_relative_information_score: 789123.6487, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8727, predictive_accuracy: 0.8728, prior_entropy: 1.585, ram_hours: 0.0001, recall: 0.8728, relative_absolute_error: 0.2494, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5417, run_cpu_time: 97.8368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.509, kappa: 0.2825, kb_relative_information_score: 344695.3169, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.505, predictive_accuracy: 0.5214, prior_entropy: 1.585, ram_hours: 0, recall: 0.5214, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5647, root_relative_squared_error: 1.1978, run_cpu_time: 14.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 789238.1304, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 1.585, ram_hours: 0, recall: 0.8725, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5411, run_cpu_time: 42.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8403, kappa: 0.7695, kb_relative_information_score: 782034.9175, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8596, predictive_accuracy: 0.8461, prior_entropy: 1.585, ram_hours: 0, recall: 0.8461, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6131, run_cpu_time: 32.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8283, kappa: 0.745, kb_relative_information_score: 629149.4679, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8299, prior_entropy: 1.585, ram_hours: 0.0039, recall: 0.8299, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6307, run_cpu_time: 19688.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.4563, kappa: 0.3304, kb_relative_information_score: 389001.7469, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4077, predictive_accuracy: 0.5537, prior_entropy: 1.585, ram_hours: 0, recall: 0.5537, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1571, run_cpu_time: 15.2853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 94225.8631, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, ram_hours: 0.0686, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088, run_cpu_time: 458.6603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.6359, kappa: 0.4611, kb_relative_information_score: 430472.9603, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.6409, predictive_accuracy: 0.6404, prior_entropy: 1.585, ram_hours: 0.4107, recall: 0.6404, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.8038, run_cpu_time: 2143.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8283, kappa: 0.745, kb_relative_information_score: 629149.4679, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8303, predictive_accuracy: 0.8299, prior_entropy: 1.585, ram_hours: 0.0035, recall: 0.8299, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6307, run_cpu_time: 17824.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8863, kappa: 0.8302, kb_relative_information_score: 793455.9713, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8868, predictive_accuracy: 0.8868, prior_entropy: 1.585, ram_hours: 0.0016, recall: 0.8868, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4981, run_cpu_time: 323.1821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8362, kappa: 0.7633, kb_relative_information_score: 777094.1957, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.855, predictive_accuracy: 0.842, prior_entropy: 1.585, ram_hours: 0, recall: 0.842, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6253, run_cpu_time: 47.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.7429, kappa: 0.6142, kb_relative_information_score: 632639.4016, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.744, predictive_accuracy: 0.7428, prior_entropy: 1.585, ram_hours: 0, recall: 0.7428, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.854, run_cpu_time: 14.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.8865, kappa: 0.8304, kb_relative_information_score: 792501.3108, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.887, predictive_accuracy: 0.8869, prior_entropy: 1.585, ram_hours: 0.0012, recall: 0.8869, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4978, run_cpu_time: 227.0412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.872, kappa: 0.8088, kb_relative_information_score: 789238.1304, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8725, predictive_accuracy: 0.8725, prior_entropy: 1.585, ram_hours: 0, recall: 0.8725, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.5411, run_cpu_time: 42.3145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8723, kappa: 0.8091, kb_relative_information_score: 547909.2597, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 1.585, ram_hours: 0, recall: 0.8727, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6822, run_cpu_time: 17.6759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.4715, kappa: 0.3532, kb_relative_information_score: 409670.6004, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.4279, predictive_accuracy: 0.5688, prior_entropy: 1.585, ram_hours: 0, recall: 0.5688, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.1374, run_cpu_time: 14.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3338, kappa: 0.0006, kb_relative_information_score: 87877.4844, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3338, predictive_accuracy: 0.3338, prior_entropy: 1.585, ram_hours: 0, recall: 0.3338, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6665, root_relative_squared_error: 1.4138, run_cpu_time: 13.1622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8799, kappa: 0.8203, kb_relative_information_score: 645176.6676, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.88, predictive_accuracy: 0.8802, prior_entropy: 1.585, ram_hours: 0.002, recall: 0.8802, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5792, run_cpu_time: 335.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7458, kappa: 0.6204, kb_relative_information_score: 592794.1576, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7461, predictive_accuracy: 0.7469, prior_entropy: 1.585, ram_hours: 0, recall: 0.7469, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.782, run_cpu_time: 16.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7622, kappa: 0.6442, kb_relative_information_score: 582332.5046, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.7621, predictive_accuracy: 0.7628, prior_entropy: 1.585, ram_hours: 0, recall: 0.7628, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7071, run_cpu_time: 21.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8194, kappa: 0.7296, kb_relative_information_score: 565932.9658, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8193, predictive_accuracy: 0.8198, prior_entropy: 1.585, ram_hours: 0.7022, recall: 0.8198, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6635, run_cpu_time: 4398.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.176, kappa: -0, kb_relative_information_score: 2438.4996, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.3333, predictive_accuracy: 0.3383, prior_entropy: 1.585, ram_hours: 0, recall: 0.3383, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, run_cpu_time: 16.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8894, kappa: 0.8347, kb_relative_information_score: 786150.1078, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.8897, predictive_accuracy: 0.8898, prior_entropy: 1.585, ram_hours: 0.0221, recall: 0.8898, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4933, run_cpu_time: 618.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 94143.1402, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, ram_hours: 0.005, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.664, root_relative_squared_error: 1.4085, run_cpu_time: 91.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.8287, kappa: 0.7452, kb_relative_information_score: 629050.6676, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.83, predictive_accuracy: 0.83, prior_entropy: 1.585, ram_hours: 0.0001, recall: 0.83, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6312, run_cpu_time: 857.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 94225.8631, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 1000000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.585, ram_hours: 0, recall: 0.3384, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4088, run_cpu_time: 16.8848,

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

Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (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