April 2012
Intermediate to advanced
384 pages
11h 19m
English
Content preview from Machine Learning in Action
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Chapter 9. Tree-based regression
This chapter covers
- The CART algorithm
- Regression and model trees
- Tree-pruning algorithms
- Building a GUI in Python
The linear regression methods we looked at in chapter 8 contain some powerful methods. These methods create a model that needs to work for all of the data points (locally weighted linear regression is the exception). When the data has many features that interact in complicated ways, building a global model can be difficult if not foolish. We know there are many nonlinearities in real life. How can we expect to model everything with a global linear model?
One way to build a model for our data is to subdivide the data into sections that can be modeled easily. These partitions ...
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