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Related Questions
- What are the key factors to consider when determining the optimal number of new features to add to a model?
- How can you balance the trade-off between model complexity and accuracy when adding new features?
- Can you explain the concept of feature selection and its role in avoiding overfitting?
- What are some common techniques used to evaluate the impact of adding new features on a model's performance?
- How can you use cross-validation to determine the optimal number of features to include in a model?
- What are the potential consequences of overfitting when adding too many features to a model?
- Can you describe a scenario where adding more features to a model actually decreases its performance?
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