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: 0.887, 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: 0.986, 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: 0.9684, 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: 0.9902, 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: 0.8917, 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: 0.9638, f_measure: 0.9476, kappa: 0.8942, kb_relative_information_score: 1146.8785, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9484, predictive_accuracy: 0.9475, prior_entropy: 0.9912, recall: 0.9475, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4373,
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: 0.9896, 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: 0.9838, 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: 0.8966, 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: 0.9711, f_measure: 0.9285, kappa: 0.8551, kb_relative_information_score: 1098.2516, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9285, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9527, kappa: 0.9045, kb_relative_information_score: 1184.6893, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9534, predictive_accuracy: 0.9526, prior_entropy: 0.9912, recall: 0.9526, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8932, kappa: 0.7833, kb_relative_information_score: 949.3003, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8941, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.595,
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: 0.9648, f_measure: 0.9505, kappa: 0.9002, kb_relative_information_score: 1165.5807, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9518, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.1659, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.9049, kappa: 0.807, kb_relative_information_score: 973.5659, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9058, predictive_accuracy: 0.9052, prior_entropy: 0.9912, recall: 0.9052, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.5778,
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: 0.9896, 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: 0.9543, 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: 0.9072, 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: 0.887, 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: 0.9684, 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: 0.9641, f_measure: 0.9287, kappa: 0.8564, kb_relative_information_score: 1103.3835, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4787,
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: 0.9903, 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: 0.9905, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1331.5845, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.2271,
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: 0.8893, 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: 0.9221, 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: 0.9213, f_measure: 0.9086, kappa: 0.8146, kb_relative_information_score: 991.7744, mean_absolute_error: 0.1507, 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: 0.3052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.5678,
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: 0.9115, 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: 0.9684, 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: 0.8988, kappa: 0.7944, kb_relative_information_score: 943.0398, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9014, predictive_accuracy: 0.8994, prior_entropy: 0.9912, recall: 0.8994, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.5954,
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: 0.9641, f_measure: 0.9287, kappa: 0.8564, kb_relative_information_score: 1103.3835, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2379, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1284.6129, mean_absolute_error: 0.0379, 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: 0.0767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.1964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1333.2845, mean_absolute_error: 0.0138, 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: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1325.3089, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1369.2179, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0083, root_relative_squared_error: 0.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.0019, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0046, root_relative_squared_error: 0.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1312.0098, mean_absolute_error: 0.0238, 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: 0.0482, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1276.7119, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1371.9642, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1323.5461, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9745, kappa: 0.9483, kb_relative_information_score: 1270.0416, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9745, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.0793, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1312.345, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2559,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 1237.4688, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9957, predictive_accuracy: 0.9956, prior_entropy: 0.9912, recall: 0.9956, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1846,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1321.6825, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.2332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9544, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9912, recall: 0.9993, relative_absolute_error: 0.0015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 861.2358, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 0.9912, recall: 0.8382, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6523,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 1335.3114, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9859, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.1936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1320.2892, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1300.8386, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1309.2832, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2294,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1359.8305, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1359.8305, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1365.8569, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.81, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.1703, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1343.7675, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1212,

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