You are building a Decision Tree and need to decide between using the Gini Index or entropy. How would you make this decision based on the dataset and the problem you are trying to solve?
- Always use Gini Index
- Always use entropy
- Choose based on computational efficiency and dataset characteristics
- Use both simultaneously
The choice between Gini Index and entropy depends on computational efficiency and dataset characteristics. Gini Index is often faster to compute, while entropy might provide slightly different splits. Analyzing the specific problem and dataset can guide the optimal choice.
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