Machine Learning, Decision Tree, Open Data, Data Science, Artificial Intelligence.
is to reduce complexity and gain better accuracy by reducing the effects of overfitting and removing sections of the DT that may be based on noisy or erroneous data. There are two different strategies to perform pruning on DTs: Pre-prune: When you stop growing DT branches when information becomes