Database, Decision Tree, Random Forest, Entropy, Gini Index.
points based on boundaries in the input data. We select which split to use based on the sum of squared errors. We stop when the reduction in that sum of squared error is small enough and finally predict the mean. And that’s the end of this short post on decision trees!If you’re interested in this