Michael Schauerhuber

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The two most popular classification tree algorithms in machine learning and statistics—C4.5 and CART—are compared in a benchmark experiment together with two other more recent constant-fit tree learners from the statistics literature (QUEST, conditional inference trees). The study assesses both misclassification error and model complexity on bootstrap(More)
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