Clculate the ROC-AUC using a training model and independant test-data. If classification is multinomial, then Hand and Till's (2001) method for multi-class AUC is used. If classification is binary, then the standard ROC-AUC apprach is used.
1 | get_test_auc(train_model, test_data, test_cls)
|
train_model |
a training model |
test_data |
a |
test_cls |
a vector of class labels for |
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