Which of the following methods can be employed to deal with overfitting in Decision Trees?

$(1)$ Use Cost complexity pruning which requires each split to decrease relative error by an amount at least equal to a threshold $($Complexity Parameter$).$

$(2)$ Compute Cross$-$validation error for different lengths of trees and choose the tree with the least cross$-$validation error.