Decision Tree Pruning
(Reklamlänk)
What Is Decision Tree Pruning In machine learning and search algorithms, pruning is a data compression approach that minimizes the size of decision trees by deleting sections of the tree that are non-critical and redundant to classify instances. This reduces the amount of data that has to be stored
