Decision Tree Algorithm

Introduction To Decision Tree Algorithm

Decision Tree is a kind of supervised learning technique that may be used for each classification and Regression issue, however principally it’s most popular for determination Classification issues. it’s a tree-structured classifier, wherever internal nodes represent the options of a dataset, branches represent the selection rules and each leaf node represents the result.

Want to know more about the introduction to Decision Tree Algorithm? Read the blog post at to learn more.

The blog post covers:
1. Decision Tree
2. Why use Decision Tree
3. Decision Tree Terminologies
4. How Decision Tree Algorithm works
5. Advantages
6. Disadvantages
7. Real-Life Example

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Decision Tree Algorithm

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About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

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