Abstract
The use of tree-based models will be relatively unfamiliar to statisticians, although researchers in other fields have found trees to be an attractive way to express knowledge and aid decision-making. Keys such as Figure 13.1 are common in botany and in medical decision-making, and provide a way to encapsulate and structure the knowledge of experts to be used by less-experienced users. Notice how this tree uses both categorical variables and splits on continuous variables.
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© 1994 Springer Science+Business Media New York
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Venables, W.N., Ripley, B.D. (1994). Tree-based Methods. In: Modern Applied Statistics with S-Plus. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-2819-1_13
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DOI: https://doi.org/10.1007/978-1-4899-2819-1_13
Publisher Name: Springer, New York, NY
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