Decision Tree
V Kishore Ayyadevara · Apress eBooks · 2018
In the previous chapters, we’ve considered regression-based algorithms that optimize for a certain metric by varying coefficients or weights. A decision tree forms the basis of tree-based algorithms that help identify the rules to classify and forecast an event or variable we are interested in. Moreover, unlike linear or logistic regression, which are optimized for either regression or classification, decision trees are able to perform both. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.