How does the use of the Gini Index compare to entropy in terms of computational efficiency in building a Decision Tree?
- Both are equally efficient
- Entropy is more computationally efficient
- Gini Index is more computationally efficient
- Neither is efficient
Gini Index is more computationally efficient because it does not involve calculating logarithms like entropy does. Although they often produce similar results, the Gini Index is generally preferred when computational resources are limited.
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