Classification and Regression Trees, Bagging, and Boosting

@inproceedings{Sutton2005ClassificationAR,
  title={Classification and Regression Trees, Bagging, and Boosting},
  author={Clifton D. Sutton},
  year={2005}
}
Publisher Summary This chapter discusses tree-based classification and regression, as well as bagging and boosting. It introduces some general information of the methods and describes how the methods work. Tree-structured classification and regression are alternative approaches to classification and regression that are not based on assumptions of normality and user-specified model statements, as are some older methods such as discriminant analysis and ordinary least squares regression. Tree… CONTINUE READING

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