What are some common techniques to avoid overfitting?
- Increasing model complexity, Adding noise, Cross-validation
- Increasing model complexity, Regularization, Cross-validation
- Reducing model complexity, Adding noise, Cross-validation
- Reducing model complexity, Regularization, Cross-validation
Common techniques to avoid overfitting include "reducing model complexity, regularization, and cross-validation." These methods prevent the model from fitting too closely to the training data.
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