Problem
A CART tree is developed to predict the success of a movie (Y=1) using the predictors actor category (Actor A (0) or not(1)) and Movie Content (Masala(0) or not (1)). The decision tree is given below
1. What is the information gain based on Gini index between level 0 and 1 when Actor A is chosen to split the root node
2. Write the business rules for predicting the success or failure of the movies based on the above tree.
3. Prepare the classification/ confusion matrix and calculate the sensitivity and specificity of the CART model