Which of the following is a pre$-$pruning strategy for decision trees to avoid model overfitting?

A$.$

Removing those branches that do not effectively change the classification error rates

B$.$

Minimal depth

C$.$

Minimal gain threshold

D$.$

Maximum leaf size