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Understanding Decision Trees: A Comprehensive Guide to Structure, Impurity Metrics, and Practical Applications

A detailed breakdown of decision trees in machine learning, covering their structure, impurity measurement methods (Gini vs. Entropy), advantages, limitations, and techniques like pruning to prevent overfitting.