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What is Unit 3 about?

This document discusses decision tree models for classification and regression, detailing their structure, advantages, and disadvantages. It covers impurity measures like Gini Index and Entropy, and the bias-variance trade-off in model performance. Additionally, it highlights real-world applications and ensemble methods such as Random Forests and Gradient Boosting to enhance prediction accuracy.

Author

mukund.kali.880

Language

EN