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

Answer:

not enough information to decide

Answer 2

Answer:

Answer is A part.........