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:

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