Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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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: 0.987, 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: 0.9287, 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: 0.9902, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1286.7528, mean_absolute_error: 0.0323, 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: 0.0654, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1286.8712, mean_absolute_error: 0.0323, 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: 0.0653, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9723, kappa: 0.944, kb_relative_information_score: 1282.0899, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3023,
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: 0.9243, f_measure: 0.9153, kappa: 0.8282, kb_relative_information_score: 1012.9929, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9156, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1223.0317, mean_absolute_error: 0.058, 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: 0.1174, 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: 0.987, 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: 0.8917, 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: 0.959, 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: 0.9287, 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: 0.9249, 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: 0.887, 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: 0.9837, 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: 0.9846, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1223.0317, mean_absolute_error: 0.058, 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: 0.1174, 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: 0.887, 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: 0.9893, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1281.455, mean_absolute_error: 0.0349, 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: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2968,
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: 0.9795, f_measure: 0.9542, kappa: 0.9074, kb_relative_information_score: 1198.569, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9548, predictive_accuracy: 0.9541, prior_entropy: 0.9912, recall: 0.9541, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.4038,
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: 0.9896, 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: 0.9302, kappa: 0.8591, kb_relative_information_score: 1110.4263, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4717,
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: 0.9684, 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: 0.9903, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1310.5801, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9826, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.2588,
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: 0.9896, 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: 0.9768, f_measure: 0.9658, kappa: 0.931, kb_relative_information_score: 1237.2278, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.967, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3608,
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: 0.986, 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: 0.9108, 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: 0.9861, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 1226.2562, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.9912, recall: 0.9621, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3638,
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: 0.9927, 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: 0.9893, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1322.0932, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395,
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: 0.989, 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: 0.9912, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1284.2331, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.149, root_relative_squared_error: 0.2999,
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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: 0.8826, f_measure: 0.8851, kappa: 0.7669, kb_relative_information_score: 882.4433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.635,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1322.0932, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395,
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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: 0.9896, 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: 0.9889, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1285.8355, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9763, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9041, kappa: 0.8052, kb_relative_information_score: 968.9358, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9056, predictive_accuracy: 0.9045, prior_entropy: 0.9912, recall: 0.9045, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5853,
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: 0.987, 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: 0.8917, 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: 0.9927, 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,
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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,
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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: 0.887, 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: 0.9504, 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: 0.887, 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: 0.9843, 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: 0.9185, f_measure: 0.9071, kappa: 0.8115, kb_relative_information_score: 985.226, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.908, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5747,
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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: 0.9249, 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: 0.9671, f_measure: 0.9302, kappa: 0.8591, kb_relative_information_score: 1110.4263, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9302, kappa: 0.8591, kb_relative_information_score: 1110.4263, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9316, predictive_accuracy: 0.93, prior_entropy: 0.9912, recall: 0.93, relative_absolute_error: 0.2037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1323.8274, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9264, kappa: 0.8508, kb_relative_information_score: 1076.7519, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9263, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9264, kappa: 0.8509, kb_relative_information_score: 1098.9573, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9264, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4827,
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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,
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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: 0.9684, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9256, kappa: 0.8494, kb_relative_information_score: 1096.835, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9256, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4849,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1281.455, mean_absolute_error: 0.0349, 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: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9256, kappa: 0.8494, kb_relative_information_score: 1096.835, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9256, predictive_accuracy: 0.9257, prior_entropy: 0.9912, recall: 0.9257, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.4849,
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: 0.9864, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1331.8283, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.2376,
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: 0.962, f_measure: 0.9432, kappa: 0.8853, kb_relative_information_score: 1133.8739, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9437, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4548,
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: 0.9287, 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: 0.9719, f_measure: 0.9264, kappa: 0.8509, kb_relative_information_score: 1098.9573, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9264, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4827,
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: 0.8826, f_measure: 0.8851, kappa: 0.7669, kb_relative_information_score: 882.4433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.635,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs