key-differences-between-random-forest-and-decision-trees

Key differences between Random Forest and Decision Trees

Random Forest and Decision Trees are both machine learning algorithms used for classification and regression tasks. They have some key differences, and I’ll explain those differences using an example: Decision Tree: – A decision tree is a simple and interpretable model that represents a tree-like structure. – It makes decisions by splitting the dataset into […]

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