In this chapter, we describe tree-based methods for regression and classification. These involve stratifying or segmenting the predictor space into a number of simple regions. In order to make a prediction for a given observation, we typically use the mean or the mode response value for the training observations in the region to which it belongs.
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Hastie, T., Tibshirani, R., & Friedman, J. (2009). Model Inference and Averaging (pp. 261–294). https://doi.org/10.1007/978-0-387-84858-7_8
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