.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
.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
Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Question

Transcribed Image Text:غیر مجاب
.Consider the following data set for a binary class problem
الدرجة من 4.50
A |B| Class Label
T|T
علم هذا السؤال
T| F
F F
FT
F F
T|F
F|T
FT
T|F
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
%3D
IG(A) = 0.240, IG(B) = 0.240, choose any one to split the node
.C O
%3D
IG(A) = 0.420, IG(B) = 0.240, choose attribute A to split the node
.D
%D
IG(A) = 0.035, lIG(B) = 0.006, choose attribute A to split the node
.E O
+
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