Decision Tree, Entropy, Information Gain, Gini Index.
increases, more of the tree is pruned. We then have a tradeoff between bias and variance. With the ccp_alpha Effectively we increase the bias of the model, i.e. , we simplify it. However, on the con side this means we have to tolerate increasing levels of impurity in the terminal nodes. We see that