Continuous predictive modeling—A comparative analysis

Abstract

We evaluate the performance of several predictive models to analyze continuous response vis-à-vis the performance of a discrete-choice logistic regression model. The models were evaluated based on three measures—profitability analysis, goodness-of-fit criteria, and prediction accuracy. The evaluation was conducted on a real application involving an honme equity loan campaign in the banking industry. The implications of the results for decision making are also discussed.