October 2018
Intermediate to advanced
172 pages
4h 6m
English
Content preview from Machine Learning with scikit-learn Quick Start Guide
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Classification trees
Classification trees are used to predict a category or class. This is similar to the classification algorithms that you have learned about previously in this book, such as the k-nearest neighbors algorithm or logistic regression.
Broadly speaking, there are three tree based algorithms that are used to solve classification problems:
- The decision tree classifier
- The random forest classifier
- The AdaBoost classifier
In this section, you will learn how each of these tree based algorithms works, in order to classify a row of data as a particular class or category.
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