Impact of Data Pre-Processing Techniques on Supervised Machine Learning Models for Credit Risk Classification
Credit risk classification is a critical task to reduce default risk and support informed lending decisions. Nonetheless, the execution of machine learning in the predicting credit risks is greatly influenced by characteristics of the data including data heterogeneity, variance of the feature scales, and class imbalanc...