Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

91909 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: 0.9863, f_measure: 0.9709, kappa: 0.9412, kb_relative_information_score: 1268.4299, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9715, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8938, kappa: 0.7845, kb_relative_information_score: 945.7769, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8952, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9563, kappa: 0.9116, kb_relative_information_score: 1211.3144, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9302, kappa: 0.8591, kb_relative_information_score: 1088.6897, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9313, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9636, kappa: 0.9262, kb_relative_information_score: 1224.0832, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1282.8716, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 926.0544, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9563, kappa: 0.9115, kb_relative_information_score: 1206.1374, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1282.8716, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 947.4821, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9563, kappa: 0.9116, kb_relative_information_score: 1211.3144, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9564, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 1062.9634, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9324, kappa: 0.8635, kb_relative_information_score: 1115.9106, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9336, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8966, kappa: 0.7899, kb_relative_information_score: 942.931, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8991, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1307.1434, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 942.7529, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9505, kappa: 0.8998, kb_relative_information_score: 1162.1084, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9506, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1325.861, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8942, kappa: 0.7852, kb_relative_information_score: 927.0055, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8977, predictive_accuracy: 0.895, prior_entropy: 0.9912, recall: 0.895, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 943.0764, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1222.6666, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9292, kappa: 0.8566, kb_relative_information_score: 1100.3739, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9293, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.239, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9324, kappa: 0.8635, kb_relative_information_score: 1115.9106, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9336, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1222.6666, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 942.7529, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 1062.9634, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1222.6666, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9563, kappa: 0.9118, kb_relative_information_score: 1193.0096, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9571, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9381, kappa: 0.8748, kb_relative_information_score: 1115.8308, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9383, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1329.1584, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9086, kappa: 0.8146, kb_relative_information_score: 984.2165, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9093, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9168, kappa: 0.8313, kb_relative_information_score: 1037.084, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.917, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8927, kappa: 0.7824, kb_relative_information_score: 956.447, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8928, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8938, kappa: 0.7845, kb_relative_information_score: 945.7769, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8952, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1306.5085, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 926.0544, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1231.2969, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1307.1434, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9549, kappa: 0.9088, kb_relative_information_score: 1182.5616, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9553, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1308.963, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9432, kappa: 0.8851, kb_relative_information_score: 1135.7795, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9434, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1283.6465, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1222.6666, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9476, kappa: 0.8943, kb_relative_information_score: 1154.3271, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9486, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1305.9451, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.979, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 947.4821, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 926.0544, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9292, kappa: 0.8566, kb_relative_information_score: 1100.3739, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9293, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.239, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 1062.9634, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9292, kappa: 0.8566, kb_relative_information_score: 1100.3739, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9293, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.239, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 1062.9634, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9324, kappa: 0.8635, kb_relative_information_score: 1115.9106, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9336, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1325.861, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1324.0964, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9324, kappa: 0.8635, kb_relative_information_score: 1115.9106, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9336, predictive_accuracy: 0.9322, prior_entropy: 0.9912, recall: 0.9322, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 1204.3941, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9302, kappa: 0.8591, kb_relative_information_score: 1088.6897, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9313, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1307.1434, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9019, kappa: 0.8009, kb_relative_information_score: 964.4557, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9032, predictive_accuracy: 0.9023, prior_entropy: 0.9912, recall: 0.9023, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9635, kappa: 0.9262, kb_relative_information_score: 1232.7135, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9635, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9337, kappa: 0.8658, kb_relative_information_score: 1095.4754, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9337, predictive_accuracy: 0.9337, prior_entropy: 0.9912, recall: 0.9337, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1324.0964, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8952, kappa: 0.7871, kb_relative_information_score: 943.0224, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8973, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1303.1046, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.0541, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1333, root_relative_squared_error: 0.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8957, kappa: 0.7887, kb_relative_information_score: 969.8499, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8957, predictive_accuracy: 0.8958, prior_entropy: 0.9912, recall: 0.8958, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9191, kappa: 0.8363, kb_relative_information_score: 1049.6484, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.2545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1295.3703, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9791, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1308.963, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9213, kappa: 0.8409, kb_relative_information_score: 1055.4715, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9215, predictive_accuracy: 0.9213, prior_entropy: 0.9912, recall: 0.9213, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1231.2969, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9287, kappa: 0.8561, kb_relative_information_score: 1085.4069, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.93, kappa: 0.8583, kb_relative_information_score: 1062.9634, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9086, kappa: 0.8146, kb_relative_information_score: 984.2165, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9093, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9019, kappa: 0.8009, kb_relative_information_score: 964.4557, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9032, predictive_accuracy: 0.9023, prior_entropy: 0.9912, recall: 0.9023, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1325.861, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9491, kappa: 0.8971, kb_relative_information_score: 1153.526, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9497, predictive_accuracy: 0.949, prior_entropy: 0.9912, recall: 0.949, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1231.2969, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8957, kappa: 0.7881, kb_relative_information_score: 926.0544, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1322.0628, mean_absolute_error: 0.0186, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1225, root_relative_squared_error: 0.2465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1285.9978, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2955,

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