Question: Why do we often use regularization in modeling? It helps to reduce underfitting by encouraging the development of more complex models It reduces the computational

Why do we often use regularization in modeling? It helps to reduce underfitting by encouraging the development of more complex models It reduces the computational complexity of training our model It usually improves the performance of the model on the training dataset It helps to reduce overfitting by penalizing complexity of the model 1 point

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