Abstract
Linear and logistic regressions make predictions about numbers, but we also need algorithms to classify instances of data in a certain class, i.e., to label the instance as belonging to a class. The decision tree is our first approach to solve classification problems. However, decision trees can perform regression too, hence their name classification and regression trees (CART). The random forests that we will encounter in a later chapter are powerful variations of CART.
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El Morr, C., Jammal, M., Ali-Hassan, H., El-Hallak, W. (2022). Decision Trees. In: Machine Learning for Practical Decision Making. International Series in Operations Research & Management Science, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-031-16990-8_8
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DOI: https://doi.org/10.1007/978-3-031-16990-8_8
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