Introduction to Machine Learning with Python

Decision Trees

Author(s): Deepti Chopra and Roopal Khurana

Pp: 74-82 (9)

DOI: 10.2174/9789815124422123010007

* (Excluding Mailing and Handling)

Abstract

Neural networks are a way to mimic the working of a human brain. Decision trees refer to the decision support structure that uses a tree to make decisions and draw all possible consequences. Decision trees are a way to display conditional control statements. In the following chapter, we will discuss decision trees, regression trees, stopping criterion and pruning loss functions in a decision tree, categorical attributes, multiway splits and missing values in decision trees, and instability in decision trees. 

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