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DMS672 - Lecture 13.1 by Ayush Sahu is a document available to read on EtoBox.
What is DMS672 - Lecture 13.1 about?
The document discusses the types of splitting attributes in decision trees, including discrete, continuous, and ordinal attributes. It explains the importance of decision tree pruning to prevent overfitting and improve model accuracy, detailing both prepruning and postpruning techniques. Additionally, it addresses issues such as repetition and replication within decision trees and suggests multivariate splits as a solution.
- Author
- Ayush Sahu
- Language
- EN