OpenML
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: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0319, root_relative_squared_error: 0.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.96, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0679, root_relative_squared_error: 0.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9943, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9927, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8688, kappa: 0.741, kb_relative_information_score: 0.7259, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8915, predictive_accuracy: 0.8688, prior_entropy: 0.9911, recall: 0.8688, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.993, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 0.9116, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9911, recall: 0.9752, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9959, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9781, kappa: 0.9557, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9911, recall: 0.9781, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1295, root_relative_squared_error: 0.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6386, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 0.9813, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9911, recall: 0.9942, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0704, root_relative_squared_error: 0.1416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9802, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9433, kappa: 0.8855, kb_relative_information_score: 0.7196, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9446, predictive_accuracy: 0.9431, prior_entropy: 0.9911, recall: 0.9431, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9914, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 0.9365, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9911, recall: 0.9934, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9813, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.0948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 0.9721, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9911, recall: 0.9934, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.1579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9719, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.0345, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9947, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.0912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9956, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9764, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.1319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0404, root_relative_squared_error: 0.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9946, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.0902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9836, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 0.9377, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9911, recall: 0.9942, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.1686,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9935, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.0978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9942, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6438, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6434, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9911, recall: 0.9862, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.2312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9955, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.0822,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9919, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9913, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9918, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.0969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.994, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9918, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9971, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9901, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9854, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9433, kappa: 0.8857, kb_relative_information_score: 0.3661, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9456, predictive_accuracy: 0.9431, prior_entropy: 0.9911, recall: 0.9431, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9963, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0375, root_relative_squared_error: 0.0755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9911, recall: 0.9767, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9904, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0328, root_relative_squared_error: 0.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6434, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 0.812, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9739, predictive_accuracy: 0.9738, prior_entropy: 0.9911, recall: 0.9738, relative_absolute_error: 0.2231, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.96, kappa: 0.9191, kb_relative_information_score: 0.7273, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9604, predictive_accuracy: 0.9599, prior_entropy: 0.9911, recall: 0.9599, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9921, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, recall: 0.9869, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.2296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9956, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0384, root_relative_squared_error: 0.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6434, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9915, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9892, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.88, kappa: 0.7581, kb_relative_information_score: 0.6434, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8819, predictive_accuracy: 0.8797, prior_entropy: 0.9911, recall: 0.8797, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 0.8474, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9911, recall: 0.9723, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9935, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 0.9346, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9911, recall: 0.9934, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9956, kappa: 0.9912, kb_relative_information_score: 0.9713, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9974, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 0.9245, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9911, recall: 0.992, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9526, kappa: 0.9041, kb_relative_information_score: 0.7167, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 0.9911, recall: 0.9526, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9864, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9873, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.0953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9942, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.0782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9908, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0613, root_relative_squared_error: 0.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9803, kappa: 0.9601, kb_relative_information_score: 0.9465, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9803, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9948, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.005, 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: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 0.9266, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9911, recall: 0.992, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.1816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9906, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.1295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.996, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 0.9899, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9911, recall: 0.9949, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0674, root_relative_squared_error: 0.1356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 0.9872, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.9911, recall: 0.9934, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.076, root_relative_squared_error: 0.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.0855,

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

OpenML APIs