Why Do We Use Decision Trees in Machine Learning?

The Importance of Decision Trees in Machine Learning


  • Why Do We Use Decision Trees in Machine Learning?

    Aswini R

    Aswini is an experienced technical content writer. She has a reputation for creating engaging, knowledge-rich content. An avid reader, she enjoys staying abreast of the latest tech trends.

Frequently Asked Questions

Decision trees help people evaluate their options and choose between different courses of action. They provide an effective structure within which we can place our options and find possible outcomes for choosing those options.

The final objective of a decision tree is to make the optimal decision at the end of every node. It needs an algorithm that is capable of doing the same.

The advantages are:

  • They are an all-inclusive algorithm.
  • Missing values are not a problem.
  • They are cheap.
  • They assist in decision-making.
  • They are simple to understand for programmers.
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