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This project contains an implementation of a decision tree learner. The decision tree only classifies datasets with binary labels. Author ---------------------------------------- Jia-Shen Boon <jiashen@gmail.com> Run ---------------------------------------- dt-learn expects datasets in the form of .arff files To run the learning and prediction script, run: >> dt-learn <train-set-file> <test-set-file> m where a node in the decision tree stops splitting when there are fewer than m instances in the training set at that node. (There are other stopping criteria as well)
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