Decision Tree, Cart, Machine Learning.
multiple features, how to decide which feature should we use to create the node. For this, we create candidates. For instance, say for feature 1, val_4 gives the minimum sum of squared error. So, it is termed as the candidate for feature 1. Similarly, we find candidates for feature 2 and feature 3.