Decision Tree, Cart, Machine Learning.
different from what we did in the case of classification trees. Let’s say we have a feature set comprising of three features: Feature 1, feature 2, and feature 3. DIstribution for Feature 1 Let’s consider the above image as our distribution for feature 1. Y-axis has the values on which we need to