M. Lazarescu and A. Turpin (Australia)
Machine Learning, Decision Trees.
This paper presents an application of decision trees to determine whether patients have stable or progressive glaucoma. We describe the data and the set of features used and we present the results obtained from the application of the decision tree classifier C4.5 to a real dataset. We also compare our results with previous work done using the same dataset.
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