The tree and the labyrinth. Decision trees.
DOI:
https://doi.org/10.30445/rear.v16i12.1298Keywords:
decision trees, regression, classification, machine learningAbstract
A decision tree is a machine learning model that is used to estimate a target variable based on several input variables. This target variable can be either numerical (regression trees) or nominal (classification trees). The methodology for constructing decision trees for regression and classification is described, as well as their interpretation.
References
- Tree-based methods. En: James G, Witten D, Hastie T, Tibshirani R, eds. An introduction to statistical learning with applications in R. Springer Science+Business Media. New York, 2013; 303-35.
- Supervised learning. En: Mailund T, ed. Beginning data science in R 4. Data analysis, visualization, and modelling for the data scientist, 2ª ed. Apress Media, LLC. New York, 2022; 178-238.
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