A surrogate loss function for optimization of $F_{\beta }$ score in binary classification with imbalanced data

Namgil Lee, Heejung Yang, Hojin Yoo

The $F_{\beta }$ score is a commonly used measure of classification performance, which plays crucial roles in classification tasks with imbalanced data sets. However, the $F_{\beta }$ score cann…