Machine Learning, Programming, Artificial Intelligence, Data Science, Technology.
DT and then remove leaf nodes only if it results in a better model performance. This way, you stop removing nodes when no further improvements can be made. Example of an unpruned DT, as taken from DataCamp In summary, a big DT that correctly classifies or predicts every example of the training data