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What is Understanding Decision Trees in ML about?

A decision tree is a non-parametric supervised machine learning algorithm used for both regression and classification, primarily focusing on classification tasks. It represents decisions and their possible outcomes through a hierarchical tree structure, where nodes represent features, branches represent decision rules, and leaf nodes represent outcomes. Key concepts include splitting, pruning, and attribute selection measures like entropy and Gini index, which help determine the best features for creating p

Author

raman

Language

EN