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What is the purpose of regularization in regression models?
What is the purpose of regularization in regression models?
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What is the purpose of regularization in regression models?
To increase the model complexity
To reduce the training time
To prevent overfitting by penalizing large coefficients
To improve the interpretability of the model
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Regularization is used in regression models to prevent overfitting by adding a penalty for large coefficients, thus simplifying the model.
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Q: What is the purpose of regularization in regression models?
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Regularization is used in regression models to prevent overfitting by adding a penalty for large coefficients, thus simplifying the model.
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