Hands-On Machine Learning with C++

F-score

In many cases, it is useful to have only one metric that shows the classification's quality. For example, it makes sense to use some algorithms to search for the best hyperparameters, such as the GridSearch algorithm, which will be discussed later in this chapter. Such algorithms usually use one metric to compare different classification results after applying various parameter values during the search process. One of the most popular metrics for this case is the F-measure (or the F-score), which can be given as follows:

Here, is the ...