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Decision Tree Learning - What is decision tree learning?


Decision tree learning is a method that uses a divide and conquer approach by performing a greedy search to find the best split points within a tree. This splitting process is then continuously repeated in a top-down, recursive fashion until all or a majority of the records are classified under specific class labels.