When training an algorithm, I have ROC = 0.5896, Sensitivity = 0.3333, and Specificity = 0.8375. When considering the test set, Sensitivity = 1 and Specificity = 1. This could happen or is a problem?
Another question: When comparing several learning algorithms, I choose the best based on the results of the test set?
Any help will be appreciated.