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Decison Tree FML 25 Ons-1 by tanaygupta.9d is a document available to read on EtoBox.

The document discusses decision trees, focusing on their structure, modeling, and classification techniques. It covers topics such as impurity measures like entropy and mean squared error (MSE), as well as regression trees and their boundaries. Additionally, it addresses the concepts of pruning and prepruning to optimize decision tree performance.

Author
tanaygupta.9d
Language
EN