What is the primary purpose of using regularization techniques in Machine Learning models?
- Enhance data visualization
- Increase accuracy
- Increase model complexity
- Reduce overfitting
Regularization techniques are used to prevent overfitting by adding constraints to the model, thus helping it to generalize better on unseen data.
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