Python Machine Learning Cookbook - Second Edition

How it works...

DecisionTreeRegressor builds a decision tree regressor. Decision trees are used to predict a response or class y, from several input variables; x1, x2,…,xn. If y is a continuous response, it's called a regression tree, if y is categorical, it's called a classification tree. The algorithm is based on the following procedure: We see the value of the input x_i at each node of the tree, and based on the answer, we continue to the left or to the right branch. When we reach a leaf, we will find the prediction. In regression trees, we try to divide the data space into tiny parts, where we can equip a simple different model on each of them. The non-leaf part of the tree is just the way to find out which model we will use for predicting ...