Which approach can generally help prevent underfitting in the corresponding models? The following multiple-choice options contain math elements, so you may need to read them in your screen reader's "reading" or "browse" mode instead of "forms" or "focus" mode. Choice 1 of 4:Linear regression: Use the closed form solution instead of gradient descent (assuming the step size for gradient descent is set appropriately). Choice 2 of 4:Polynomial regression: Use a larger degree for regression. Choice 3 of 4:Logistic Regression: Add L2 regularization on the weight parameters. Choice 4 of 4:Logistic Regression: Use a higher learning rate in gradient descent