The purpose of pruning a decision tree is
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Pruning is a technique in machine learning and search algorithms that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances. Pruning reduces the complexity of the final classifier, and hence improves predictive accuracy by the reduction of overfitting.
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Pruning is a technique in machine learnIΝᏀ and search algorithms that reduces the size of decision trees by removing sections of the tree that provide little power to classify instances. Pruning
reduces the complexity of the finaᏞ classifier, and hence improves predictive accuracy by the reduction of overfitting.!..
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