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 attribute A2 in the root leads to an entropy reduction of?
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. –log(4/10)-log(6/10)
B. –(4/10)xlog(4/10)-(6/10)xlog(6/10) + (1/4)xlog(1/4) + (3/7)xlog(3/7)
C. –(4/10)xlog(4/10)-(6/10)xlog(6/10) + (3/4)xlog(3/4) + (1/4)xlog(1/4) + (1/6)xlog(1/6) +(5/6)xlog(5/6)
D. 1

Answer 1

Answer:

good question but I don't know 2829?1*+7226