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Decision Tree Algorithm Overview by saadsaleem7223 is a document available to read on EtoBox.

The document discusses the Decision Tree algorithm, a supervised learning method used for both regression and classification tasks. It explains the structure of decision trees, including key concepts like root nodes, decision nodes, leaf nodes, and the process of splitting data based on attributes using measures such as entropy and information gain. Additionally, it covers the ID3 algorithm for constructing decision trees and the use of Gini index for evaluating splits.

Author
saadsaleem7223
Language
EN