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 10.1 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. (It is a tree, and readers are encouraged to draw it.)
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Venables, W.N., Ripley, B.D. (1999). Tree-based Methods. In: Modern Applied Statistics with S-PLUS. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3121-7_10
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3121-7_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-3123-1
Online ISBN: 978-1-4757-3121-7
eBook Packages: Springer Book Archive