Question

(b) Assume you have data with three attributes. The following is a tree split of your data: (5,3,12) ? (4,0,2) ? (1,3,0) ? (0,0,10) (i) Compute the GINI-gain for the above decision tree split. (ii) Compute the information gain using Entropy for the above decision tree split.

          (b) Assume you have data with three attributes. The following is a tree split of your data:
(5,3,12) ? (4,0,2)
         ? (1,3,0)
         ? (0,0,10)
(i) Compute the GINI-gain for the above decision tree split.
(ii) Compute the information gain using Entropy for the above decision tree split.

(b) Assume you have data with three attributes. The following is a tree split of your data:
(5,3,12) ? (4,0,2)
? (1,3,0)
? (0,0,10)
(i) Compute the GINI-gain for the above decision tree split.
(ii) Compute the information gain using Entropy for the above decision tree split.

Added by Jose Luis H.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Supreeta N

08/10/2023

Step 1

The root node is (5, 3, 12). Total instances = 5 + 3 + 12 = 20. Show more…

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(b) Assume you have data with three attributes. The following is a tree split of your data: (5, 3, 12) (4, 0, 2) (1, 3, 0) (0, 0, 10) (i) Compute the GINI-gain for the above decision tree split. (ii) Compute the information gain using Entropy for the above decision tree split.