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Decision Tree

ML Models & Algorithms
An early, simple model for classification or regression.

A Decision Tree is a supervised machine learning algorithm categorized under Tree-Based Models. It functions by splitting data into groups based on decisions made at each node, thus forming a tree-like structure.
Decision Trees are popular because they are generally easy to understand and visualize, making them intuitive for business interpretations. They can be used for both classification and regression tasks. Common applications include categorizing websites, segmenting customers based on behavior, and being an example model for Backlink Quality Classification and Schema Markup Suggestions.

Related Concepts

Binary Classification Supervised Learning Multi-Class Classification Knowledge Graph Hierarchical Clustering

Sources & References

Introduction to Machine Learning for SEOs Course
academy.mlforseo.com

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