Decision Tree Evaluation

Let’s say you work as a data scientist at a bank.

You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan they are taking out.

1. How would you evaluate whether using a decision tree algorithm is the correct model for the problem?

2. Let’s say you move forward with the decision tree model. How would you evaluate the performance of the model before deployment and after?