Advanced Concepts in Decision Trees

Understanding Complex Patterns

Decision Trees are a beautiful representation of decisions and their possible consequences. Let's delve deeper into advanced pruning techniques, ensemble methods like Random Forests, and more.

Advanced Pruning Techniques

In practice, it's crucial to prevent overfitting by pruning the decision trees. We explore techniques like Reduced Error Pruning and Cost Complexity Pruning.

Ensemble Methods

Tools such as Random Forests and Boosted Trees enhance the robustness of decision models by combining multiple trees for improved accuracy.



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