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When Decision Trees Fail

Ivan Palomares Carrascosa builds an explanation:

In this article, you will learn why decision trees sometimes fail in practice and how to correct the most common issues with simple, effective techniques.

Topics we will cover include:

  • How to spot and reduce overfitting in decision trees.
  • How to recognize and fix underfitting by tuning model capacity.
  • How noisy or redundant features mislead trees and how feature selection helps.

Read on for some of the perils of CART and some ways to resolve them.

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