Which of the following best describes the role of the learning rate in the Adaline algorithm?

Group of answer choices

The learning rate determines the number of iterations the algorithm will run for.

The learning rate is not a parameter in the Adaline algorithm.

The learning rate controls the step size of the weight updates, and a higher learning rate can lead to faster convergence, but also the risk of overshooting the global minimum.

The learning rate controls the amount of regularization applied to the model.