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Decision trees are popular classifiers in data mining, artificial intelligence, and pattern recognition, because they are accurate and easy to comprehend. In this paper, we introduce a new procedure for inducing decision trees, to obtain trees that are more accurate, more compact, and more balanced. Each candidate split is evaluated using Rand Statistics, a quality index based on external measures,...
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