'Maximum number of iterations' in hyperparameter refers to the maximum number of times the algorithm processes the training cases. Which of the following issues may occur while tuning this hyperparameter?

$(1)$ If the value is taken too high, we may overfit the model $-$ i$.$e$.$ the performance will not be as good on test data as it is on train data.

$(2)$ If the value is taken too low, we may underfit the model $-$ i$.$e$.$ the performance will be poor on both train and test data.