Decision Tree, Entropy, Information Gain, Gini Index.
as α increases both no. of nodes and tree depth reduces. How to determine optimal α Plotting ccp_alpha vs train and test accuracy we see that when α =0 and keeping the other default parameters of DecisionTreeClassifier, the tree overfits, leading to a 100% training accuracy and 88% testing