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What is the purpose of 'regularization' in machine learning?
Verified Answer
To increase the complexity of the model
Quiz Options
- To increase the complexity of the model
- To prevent overfitting by adding a penalty for complexity
- To speed up data processing
- To make the model interpretable
Explanation & Context
Regularization techniques are used in machine learning to reduce the risk of overfitting by adding a penalty term to the learning objective function, discouraging overly complex models.
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"Which is the purpose of 'regularization' in machine learning?"
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