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Learning is the ability to improve one's behaviour based on experience and represents an essential element of computational intelligence. Decision trees are a simple yet successful technique for supervised classification learning. This tool demonstrates how to build a decision tree using a training data set and then use the tree to classify unseen examples in a test data set.

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