What is the impact of a high learning rate in supervised learning algorithms?

a$.$ The model may converge too slowly and get stuck in a suboptimal solution

b$.$ The model may overfit the training data

c$.$ The model may underfit the training data

d$.$ The model may converge too quickly and miss the optimal solution