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 w...

background: we designed an algorithmic model based on the logistic regression analysis and a non-algorithmic model based on the artificial neural network (ann). materials and methods: the ability of these models was compared together in clinical application to differentiate malignant from benign breast tumors in a study group of 161 patients' records. each patient’s record consisted of 6 s...