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JMP 13 Predictive and Specialized Modeling
book

JMP 13 Predictive and Specialized Modeling

by SAS Institute
September 2016
Intermediate to advanced content levelIntermediate to advanced
366 pages
9h 24m
English
SAS Institute
Content preview from JMP 13 Predictive and Specialized Modeling
Chapter 7 
Image shown hereBoosted Tree
Fit Many Trees, Each Layered on the Previous
The Boosted Tree platform is available only in JMP Pro.
Boosting is the process of building a large, additive decision tree by fitting a sequence of smaller decision trees, called layers. The tree at each layer consists of a small number of splits. The tree is fit based on the residuals of the previous layers, which allows each layer to correct the fit for bad fitting data from the previous layers. The final prediction for an observation is the sum of the predicted residuals for that observation over all the layers.
Figure 7.1 Example of Boosted Tree Layers
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Publisher Resources

ISBN: 9781629605883