Question

Given the following training set for classification problem into two classes "fraud" and "normal". There are two attributes A1 and A2 taking values 0 or 1. Splitting on which attribute in the root of a decision tree will lead to highest information gain?
A1
A2
Class
1
0
fraud
1
1
fraud
1
1
fraud
1
0
normal
1
1
fraud
0
0
normal
0
0
normal
0
0
normal
1
1
normal
1
0
normal
A. A1
B. A2
C. There will be a tie among the attributes
D. Not enough information to decide

Answer 1

__________I don't know bro_____________