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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91909 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.4836, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.093, root_relative_squared_error: 0.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: -0.0113, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9563, kappa: 0.9115, kb_relative_information_score: 1120.0197, mean_absolute_error: 0.1036, 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: 0.2098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1339.8976, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9628, kappa: 0.9247, kb_relative_information_score: 932.3376, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9563, kappa: 0.9115, kb_relative_information_score: 1120.0197, mean_absolute_error: 0.1036, 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: 0.2098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1848, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 1306.1036, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.0533, 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: 0.9849, f_measure: 0.9432, kappa: 0.8851, kb_relative_information_score: 1166.435, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 0.9912, recall: 0.9431, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2029, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1331.5971, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1330.106, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9439, kappa: 0.8863, kb_relative_information_score: 1145.2166, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9912, recall: 0.9439, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1324.1616, mean_absolute_error: 0.0182, 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: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1207.121, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1360.8155, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 1359.4212, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9912, recall: 0.9964, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.063, root_relative_squared_error: 0.1268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9353, kappa: 0.8698, kb_relative_information_score: 1133.6994, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9385, predictive_accuracy: 0.9351, prior_entropy: 0.9912, recall: 0.9351, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2198, root_relative_squared_error: 0.4423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.1462, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0107, root_relative_squared_error: 0.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1369.8983, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0053, root_relative_squared_error: 0.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1368.4906, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0095, root_relative_squared_error: 0.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1350.2728, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1722,
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: 0.9864, 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: 0.9993, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 1369.9285, 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: 0.027, root_relative_squared_error: 0.0543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1367.8927, mean_absolute_error: 0.0015, 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: 0.003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9599, kappa: 0.9189, kb_relative_information_score: 1259.9967, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1347.5349, mean_absolute_error: 0.0087, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8377, kappa: 0.6706, kb_relative_information_score: 920.0226, mean_absolute_error: 0.1618, 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: 0.3276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1324.0237, mean_absolute_error: 0.0181, 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: 0.0367, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.867, kappa: 0.7325, kb_relative_information_score: 1023.2906, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8706, predictive_accuracy: 0.8666, prior_entropy: 0.9912, recall: 0.8666, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3966, kb_relative_information_score: -3.7407, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
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,
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,
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: 0.9896, 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: 0.8917, 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: 0.8917, 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: 0.9892, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1320.0596, mean_absolute_error: 0.0199, 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: 0.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2432,
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: 0.8826, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1327.313, mean_absolute_error: 0.0165, 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: 0.0334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.118, root_relative_squared_error: 0.2375,
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: 0.887, 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: 0.9866, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1328.8409, mean_absolute_error: 0.0157, 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: 0.0319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2407,
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: 0.9918, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1324.0964, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1285.9978, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 1204.3941, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, 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: 0.8893, 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: 0.9719, 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: 0.9883, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1326.9954, mean_absolute_error: 0.0167, 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: 0.0337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2374,
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: 0.9917, 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: 0.989, 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: 0.987, 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: 0.9864, 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: 0.9249, 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: 0.9917, 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: 0.9684, 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: 0.989, 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: 0.9719, 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: 0.9715, 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: 0.987, 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: 0.9072, 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: 0.9719, 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: 0.9287, 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: 0.9912, 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,
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: 0.887, 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: 0.9287, 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: 0.987, f_measure: 0.9606, kappa: 0.9203, kb_relative_information_score: 1231.2969, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9607, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.9287, kappa: 0.8561, kb_relative_information_score: 1085.4069, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9286, prior_entropy: 0.9912, recall: 0.9286, relative_absolute_error: 0.2269, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9767, kappa: 0.9527, kb_relative_information_score: 1283.6465, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.2945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, 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: 0.9889, 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: 0.959, 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: 0.9924, 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: 0.9221, 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: 0.9837, 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: 0.9072, 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: 0.9184, f_measure: 0.916, kappa: 0.8297, kb_relative_information_score: 1009.8978, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.5508,
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: 0.986, 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: 0.9861, 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: 0.887, 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: 0.9918, f_measure: 0.9738, kappa: 0.9469, kb_relative_information_score: 1285.9978, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.2955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9264, kappa: 0.8508, kb_relative_information_score: 1068.1317, mean_absolute_error: 0.1197, 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: 0.2423, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5046,

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