Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 17397 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

17397 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: 0.9677, f_measure: 0.9426, kappa: 0.9354, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 3.1699, recall: 0.9426, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8719, kappa: 0.8563, kb_relative_information_score: 0.8654, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8724, predictive_accuracy: 0.8722, prior_entropy: 3.1699, recall: 0.8722, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.9277, kappa: 0.9188, kb_relative_information_score: 0.9239, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9299, predictive_accuracy: 0.9278, prior_entropy: 3.1699, recall: 0.9278, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8967, kappa: 0.8823, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9028, predictive_accuracy: 0.8954, prior_entropy: 3.1699, recall: 0.8954, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9048, kappa: 0.8927, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9082, predictive_accuracy: 0.9046, prior_entropy: 3.1699, recall: 0.9046, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.5012, kappa: 0.3688, kb_relative_information_score: 0.4088, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8563, predictive_accuracy: 0.4389, prior_entropy: 3.1699, recall: 0.4389, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3531, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8366, kappa: 0.8135, kb_relative_information_score: 0.8254, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8452, predictive_accuracy: 0.8343, prior_entropy: 3.1699, recall: 0.8343, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9185, kappa: 0.9083, kb_relative_information_score: 0.9142, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9212, predictive_accuracy: 0.9185, prior_entropy: 3.1699, recall: 0.9185, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1346, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.692, kappa: 0.674, kb_relative_information_score: 0.6946, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8165, predictive_accuracy: 0.7102, prior_entropy: 3.1699, recall: 0.7102, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.905, kappa: 0.8927, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9074, predictive_accuracy: 0.9046, prior_entropy: 3.1699, recall: 0.9046, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9068, kappa: 0.8948, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9091, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7788, kappa: 0.7208, kb_relative_information_score: 0.7385, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8698, predictive_accuracy: 0.7519, prior_entropy: 3.1699, recall: 0.7519, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.7472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9239, kappa: 0.9146, kb_relative_information_score: 0.92, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9262, predictive_accuracy: 0.9241, prior_entropy: 3.1699, recall: 0.9241, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9251, kappa: 0.9125, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.934, predictive_accuracy: 0.9222, prior_entropy: 3.1699, recall: 0.9222, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9232, kappa: 0.9135, kb_relative_information_score: 0.919, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9259, predictive_accuracy: 0.9231, prior_entropy: 3.1699, recall: 0.9231, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.922, kappa: 0.9125, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9244, predictive_accuracy: 0.9222, prior_entropy: 3.1699, recall: 0.9222, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9288, kappa: 0.9198, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9297, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8688, kappa: 0.8469, kb_relative_information_score: 0.8566, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8872, predictive_accuracy: 0.8639, prior_entropy: 3.1699, recall: 0.8639, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8695, kappa: 0.8479, kb_relative_information_score: 0.8576, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8869, predictive_accuracy: 0.8648, prior_entropy: 3.1699, recall: 0.8648, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9251, kappa: 0.9125, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9343, predictive_accuracy: 0.9222, prior_entropy: 3.1699, recall: 0.9222, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.2327, kappa: 0.1344, kb_relative_information_score: 0.1893, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8697, predictive_accuracy: 0.2306, prior_entropy: 3.1699, recall: 0.2306, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9289, kappa: 0.9198, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9306, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.1469, kappa: 0.075, kb_relative_information_score: 0.1337, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9021, predictive_accuracy: 0.1778, prior_entropy: 3.1699, recall: 0.1778, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.148, kappa: 0.076, kb_relative_information_score: 0.1347, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8942, predictive_accuracy: 0.1787, prior_entropy: 3.1699, recall: 0.1787, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7251, kappa: 0.6802, kb_relative_information_score: 0.7005, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.759, predictive_accuracy: 0.7157, prior_entropy: 3.1699, recall: 0.7157, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8936, kappa: 0.8781, kb_relative_information_score: 0.8859, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9025, predictive_accuracy: 0.8917, prior_entropy: 3.1699, recall: 0.8917, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7959, kappa: 0.7438, kb_relative_information_score: 0.76, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8716, predictive_accuracy: 0.7722, prior_entropy: 3.1699, recall: 0.7722, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.225, root_relative_squared_error: 0.7159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.1149, kappa: -0.0385, kb_relative_information_score: 0.0274, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.4701, predictive_accuracy: 0.0769, prior_entropy: 3.1699, recall: 0.0769, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.9068, kappa: 0.8948, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9091, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8912, kappa: 0.874, kb_relative_information_score: 0.882, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.899, predictive_accuracy: 0.888, prior_entropy: 3.1699, recall: 0.888, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8952, kappa: 0.8802, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9044, predictive_accuracy: 0.8935, prior_entropy: 3.1699, recall: 0.8935, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1538, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.892, kappa: 0.875, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8995, predictive_accuracy: 0.8889, prior_entropy: 3.1699, recall: 0.8889, relative_absolute_error: 0.125, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9352, kappa: 0.9271, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9358, predictive_accuracy: 0.9352, prior_entropy: 3.1699, recall: 0.9352, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.12, root_relative_squared_error: 0.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.3937, kappa: 0.2656, kb_relative_information_score: 0.3122, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8571, predictive_accuracy: 0.3472, prior_entropy: 3.1699, recall: 0.3472, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3809, root_relative_squared_error: 1.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.3265, kappa: 0.2094, kb_relative_information_score: 0.2595, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8577, predictive_accuracy: 0.2972, prior_entropy: 3.1699, recall: 0.2972, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3952, root_relative_squared_error: 1.2575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8231, kappa: 0.7792, kb_relative_information_score: 0.7932, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8721, predictive_accuracy: 0.8037, prior_entropy: 3.1699, recall: 0.8037, relative_absolute_error: 0.2208, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.834, kappa: 0.7958, kb_relative_information_score: 0.8088, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8832, predictive_accuracy: 0.8185, prior_entropy: 3.1699, recall: 0.8185, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8636, kappa: 0.8344, kb_relative_information_score: 0.8449, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8941, predictive_accuracy: 0.8528, prior_entropy: 3.1699, recall: 0.8528, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.5755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8926, kappa: 0.8792, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9017, predictive_accuracy: 0.8926, prior_entropy: 3.1699, recall: 0.8926, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9234, kappa: 0.9135, kb_relative_information_score: 0.919, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9257, predictive_accuracy: 0.9231, prior_entropy: 3.1699, recall: 0.9231, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1307, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.874, kappa: 0.8479, kb_relative_information_score: 0.8576, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8983, predictive_accuracy: 0.8648, prior_entropy: 3.1699, recall: 0.8648, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5375, f_measure: 0.1469, kappa: 0.075, kb_relative_information_score: 0.1337, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9021, predictive_accuracy: 0.1778, prior_entropy: 3.1699, recall: 0.1778, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.5154, kappa: 0.3833, kb_relative_information_score: 0.4225, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8601, predictive_accuracy: 0.4519, prior_entropy: 3.1699, recall: 0.4519, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.349, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.9079, kappa: 0.8958, kb_relative_information_score: 0.9024, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9104, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.3614, kappa: 0.2385, kb_relative_information_score: 0.2869, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8533, predictive_accuracy: 0.3231, prior_entropy: 3.1699, recall: 0.3231, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3878, root_relative_squared_error: 1.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.876, kappa: 0.8573, kb_relative_information_score: 0.8663, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8906, predictive_accuracy: 0.8731, prior_entropy: 3.1699, recall: 0.8731, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8007, kappa: 0.7531, kb_relative_information_score: 0.7688, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8545, predictive_accuracy: 0.7806, prior_entropy: 3.1699, recall: 0.7806, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.483, kappa: 0.35, kb_relative_information_score: 0.3913, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8546, predictive_accuracy: 0.4222, prior_entropy: 3.1699, recall: 0.4222, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.695, kappa: 0.6198, kb_relative_information_score: 0.6439, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.836, predictive_accuracy: 0.662, prior_entropy: 3.1699, recall: 0.662, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.274, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.3761, kappa: 0.251, kb_relative_information_score: 0.2986, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8567, predictive_accuracy: 0.3343, prior_entropy: 3.1699, recall: 0.3343, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3846, root_relative_squared_error: 1.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8275, kappa: 0.8052, kb_relative_information_score: 0.8176, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8416, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.4132, kappa: 0.2833, kb_relative_information_score: 0.3288, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.363, prior_entropy: 3.1699, recall: 0.363, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.1972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9251, kappa: 0.9156, kb_relative_information_score: 0.921, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.927, predictive_accuracy: 0.925, prior_entropy: 3.1699, recall: 0.925, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.5667, kappa: 0.4417, kb_relative_information_score: 0.4771, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8486, predictive_accuracy: 0.5037, prior_entropy: 3.1699, recall: 0.5037, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3321, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8801, kappa: 0.8615, kb_relative_information_score: 0.8703, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8937, predictive_accuracy: 0.8769, prior_entropy: 3.1699, recall: 0.8769, relative_absolute_error: 0.1385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.5964, kappa: 0.4781, kb_relative_information_score: 0.5112, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8533, predictive_accuracy: 0.5361, prior_entropy: 3.1699, recall: 0.5361, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3211, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.3774, kappa: 0.2521, kb_relative_information_score: 0.2995, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8572, predictive_accuracy: 0.3352, prior_entropy: 3.1699, recall: 0.3352, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9017, kappa: 0.8885, kb_relative_information_score: 0.8956, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9067, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9341, kappa: 0.926, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9346, predictive_accuracy: 0.9343, prior_entropy: 3.1699, recall: 0.9343, relative_absolute_error: 0.074, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9444, kappa: 0.9365, kb_relative_information_score: 0.9405, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9474, predictive_accuracy: 0.9435, prior_entropy: 3.1699, recall: 0.9435, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.4539, kappa: 0.3198, kb_relative_information_score: 0.363, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8632, predictive_accuracy: 0.3954, prior_entropy: 3.1699, recall: 0.3954, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.1664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5331, kappa: 0.4031, kb_relative_information_score: 0.441, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8542, predictive_accuracy: 0.4694, prior_entropy: 3.1699, recall: 0.4694, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3434, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.4942, kappa: 0.3615, kb_relative_information_score: 0.402, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8556, predictive_accuracy: 0.4324, prior_entropy: 3.1699, recall: 0.4324, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.5387, kappa: 0.4094, kb_relative_information_score: 0.4469, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8526, predictive_accuracy: 0.475, prior_entropy: 3.1699, recall: 0.475, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3416, root_relative_squared_error: 1.0869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.4623, kappa: 0.3281, kb_relative_information_score: 0.3708, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8638, predictive_accuracy: 0.4028, prior_entropy: 3.1699, recall: 0.4028, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3643, root_relative_squared_error: 1.1592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.836, kappa: 0.8, kb_relative_information_score: 0.8127, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8809, predictive_accuracy: 0.8222, prior_entropy: 3.1699, recall: 0.8222, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.6325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.7266, kappa: 0.6448, kb_relative_information_score: 0.6673, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8607, predictive_accuracy: 0.6843, prior_entropy: 3.1699, recall: 0.6843, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8353, kappa: 0.799, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8805, predictive_accuracy: 0.8213, prior_entropy: 3.1699, recall: 0.8213, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.4823, kappa: 0.349, kb_relative_information_score: 0.3903, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8567, predictive_accuracy: 0.4213, prior_entropy: 3.1699, recall: 0.4213, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3586, root_relative_squared_error: 1.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.1731, kappa: 0.0927, kb_relative_information_score: 0.1503, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8944, predictive_accuracy: 0.1935, prior_entropy: 3.1699, recall: 0.1935, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4233, root_relative_squared_error: 1.3471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.429, kappa: 0.2969, kb_relative_information_score: 0.3415, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8645, predictive_accuracy: 0.375, prior_entropy: 3.1699, recall: 0.375, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3727, root_relative_squared_error: 1.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.4993, kappa: 0.3667, kb_relative_information_score: 0.4069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8561, predictive_accuracy: 0.437, prior_entropy: 3.1699, recall: 0.437, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3537, root_relative_squared_error: 1.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8353, kappa: 0.799, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8805, predictive_accuracy: 0.8213, prior_entropy: 3.1699, recall: 0.8213, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8353, kappa: 0.799, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8805, predictive_accuracy: 0.8213, prior_entropy: 3.1699, recall: 0.8213, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7176, kappa: 0.6333, kb_relative_information_score: 0.6566, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8576, predictive_accuracy: 0.6741, prior_entropy: 3.1699, recall: 0.6741, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9039, kappa: 0.8917, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9073, predictive_accuracy: 0.9037, prior_entropy: 3.1699, recall: 0.9037, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9237, kappa: 0.9125, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9279, predictive_accuracy: 0.9222, prior_entropy: 3.1699, recall: 0.9222, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.6683, kappa: 0.5688, kb_relative_information_score: 0.5961, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8537, predictive_accuracy: 0.6167, prior_entropy: 3.1699, recall: 0.6167, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.7039, kappa: 0.6146, kb_relative_information_score: 0.639, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.858, predictive_accuracy: 0.6574, prior_entropy: 3.1699, recall: 0.6574, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, f_measure: 0.309, kappa: 0.1938, kb_relative_information_score: 0.2449, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8655, predictive_accuracy: 0.2833, prior_entropy: 3.1699, recall: 0.2833, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.3531, kappa: 0.2323, kb_relative_information_score: 0.281, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.3176, prior_entropy: 3.1699, recall: 0.3176, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.3663, kappa: 0.2427, kb_relative_information_score: 0.2908, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8538, predictive_accuracy: 0.3269, prior_entropy: 3.1699, recall: 0.3269, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8074, kappa: 0.7667, kb_relative_information_score: 0.7815, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.858, predictive_accuracy: 0.7926, prior_entropy: 3.1699, recall: 0.7926, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.2395, kappa: 0.1396, kb_relative_information_score: 0.1942, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8697, predictive_accuracy: 0.2352, prior_entropy: 3.1699, recall: 0.2352, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.4123, root_relative_squared_error: 1.3118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8707, kappa: 0.8417, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9016, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8326, kappa: 0.7958, kb_relative_information_score: 0.8088, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8742, predictive_accuracy: 0.8185, prior_entropy: 3.1699, recall: 0.8185, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.3637, kappa: 0.2406, kb_relative_information_score: 0.2888, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8536, predictive_accuracy: 0.325, prior_entropy: 3.1699, recall: 0.325, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9295, kappa: 0.9198, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9321, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.5123, kappa: 0.3802, kb_relative_information_score: 0.4195, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8596, predictive_accuracy: 0.4491, prior_entropy: 3.1699, recall: 0.4491, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.1134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.5012, kappa: 0.3688, kb_relative_information_score: 0.4088, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8563, predictive_accuracy: 0.4389, prior_entropy: 3.1699, recall: 0.4389, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3531, root_relative_squared_error: 1.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.4712, kappa: 0.3375, kb_relative_information_score: 0.3795, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8572, predictive_accuracy: 0.4111, prior_entropy: 3.1699, recall: 0.4111, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.483, kappa: 0.35, kb_relative_information_score: 0.3913, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8546, predictive_accuracy: 0.4222, prior_entropy: 3.1699, recall: 0.4222, relative_absolute_error: 0.65, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3583, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.4993, kappa: 0.3667, kb_relative_information_score: 0.4069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8561, predictive_accuracy: 0.437, prior_entropy: 3.1699, recall: 0.437, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3537, root_relative_squared_error: 1.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.6603, kappa: 0.6292, kb_relative_information_score: 0.6527, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8087, predictive_accuracy: 0.6704, prior_entropy: 3.1699, recall: 0.6704, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9372, kappa: 0.9281, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9412, predictive_accuracy: 0.9361, prior_entropy: 3.1699, recall: 0.9361, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7461, kappa: 0.7042, kb_relative_information_score: 0.7229, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8199, predictive_accuracy: 0.737, prior_entropy: 3.1699, recall: 0.737, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9244, kappa: 0.9115, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9351, predictive_accuracy: 0.9213, prior_entropy: 3.1699, recall: 0.9213, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9306, kappa: 0.9219, kb_relative_information_score: 0.9268, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.932, predictive_accuracy: 0.9306, prior_entropy: 3.1699, recall: 0.9306, relative_absolute_error: 0.0781, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8313, kappa: 0.7969, kb_relative_information_score: 0.8098, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8735, predictive_accuracy: 0.8194, prior_entropy: 3.1699, recall: 0.8194, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.8299, kappa: 0.7896, kb_relative_information_score: 0.8029, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8821, predictive_accuracy: 0.813, prior_entropy: 3.1699, recall: 0.813, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.6487,

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