Ahmad Abil Rizky Ramadhan

Impact of Normalization Methods on Credit Risk Classification with Imbalanced Data

This study investigates the effect of two normalization methods, Z-Score and Min-Max, on the performance of Support Vector Machine and Artificial Neural Network classifiers for imbalanced credit risk prediction, and provides empirical guidance for selecting optimal preprocessing strategies in imbalanced financial class...