Consider the following training dataset for a binary classification problem Object A1 A2 A3 (Female, Male) Target Class
1 F F 1.0 F
2 T M 6.0 T
3 T F 5.0 F
4 F F 5.0 F
5 T F 5.0 F
A. What is the entropy of this collection of training examples with respect to the True class
B. What are the information gains of A1 and A2 relative to the training dataset For A3, which is a continuous attribute, compute the information gain for every possible split.
C. What is the best split (among A1,A2, and A3) according to the information gain?