F-measure maximizing logistic regression

Logistic regression is a widely used method in several fields. When applying logistic to imbalanced data, wherein the majority classes dominate minority classes, all class labels are estimated as “majority class.” In this study, we use an F-measure optimization improve performance of applied data. Although many methods adopt ratio estimators approximate F-measure, tends exhibit more bias than when directly approximated. Therefore, employ estimate relative density ratio. addition, define and F-measure. We present algorithm for weighted approximation The results experiment using real world data demonstrate that our proposed can efficiently