A penalty term is an additional component added to a loss function in regression models to discourage complexity in the model by penalizing large coefficients. This term helps to prevent overfitting by balancing the trade-off between fitting the training data well and maintaining a simpler model. The penalty term varies depending on the type of regularization technique being used, impacting how models handle features and their associated weights.
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