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Decision Tree Learning in Machine Learning by truparanicse is a document available to read on EtoBox.

What is Decision Tree Learning in Machine Learning about?

The document provides an overview of Decision Tree Learning, a supervised machine learning algorithm used for approximating discrete-valued target functions. It explains the structure of decision trees, including nodes, branches, and terminology such as root node, leaf node, splitting, and pruning. The ID3 algorithm is introduced as the basic decision tree learning algorithm, detailing its steps and the calculation of entropy for attribute selection.

Author

truparanicse

Language

EN