.Consider the following data set for a binary class problem A B Class Label TT TF FF FT FF TF FT FT TF |T|F + Calculate the information gain (IG) when splitting on A and B. Which attribute would the decision tree induction algorithm choose? (Hint/ round the fraction to the nearest 3 decimal points (e.g., 0.1234 --> 0.123, 0.1235 --> 0.124, etc.)) all choices are incorrect .A O IG(A) = 0.240, IG(B) = 0.420, choose attribute B to split the node .B O IG(A) = 0.240, IG(B) = 0.240, choose any one to split the node .C O IG(A) = 0.420, IG(B) = 0.240, choose attribute A to split the node .D O IG(A) = 0.035, IG(B) = 0.006, choose attribute A to split the node E O

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