First-Best Test Data Classification

First-best test data classification is quite simple; just return the category with the largest linear basis value. Although logistic regression returns a fully normalized probability estimate, this is not used at run time in first-best classification.

The advantage of a system like logistic regression that estimates a probability is that in more general classification tasks than simple first best, precision may be sacrificed for increased recall and vice-versa.