From these three classification approaches (decision trees, Nave Bayes and neural networks), both with their own advantages and shortcomings. Give a real-world business problem that can be solved via classification and discuss which classification approach may be more suitable for this problem. In your discussion, consider the trade-offs regarding predictive performance, computational requirements, data size, and the interpretability of the prediction rules.