How does feature selection contribute to model accuracy?
- All of the above
- By improving interpretability of the model
- By reducing overfitting
- By reducing the complexity of the model
Feature selection contributes to model accuracy primarily by reducing overfitting. Overfitting occurs when a model learns the training data too well, including its noise, and performs poorly on unseen data.
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