Abstract
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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James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). Tree-Based Methods. In: An Introduction to Statistical Learning. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-0716-1418-1_8
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DOI: https://doi.org/10.1007/978-1-0716-1418-1_8
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-0716-1418-1
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