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such as overfitting, data sensitivity, and the curse of dimensionality. Pruning a decision tree refers to the process of removing unnecessary branches or nodes in the tree in order to simplify it. This can be beneficial for a few reasons. Firstly, pruning a decision tree can improve its accuracy by