Hojin Yoo

most citedA surrogate loss function for optimization of

F_{β}

score in binary classification with imbalanced data

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 4 cited

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

Namgil Lee, Heejung Yang, Hojin Yoo

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

A surrogate loss function for optimization of Fβ​ score in binary classification with imbalanced data

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