7.3.3 - Popular Boosting Algorithms
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Practice Questions
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What is boosting in machine learning?
💡 Hint: Think about how teams work together to improve.
Name one popular boosting algorithm.
💡 Hint: Consider the names of algorithms discussed.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does boosting aim to achieve in machine learning?
💡 Hint: Think about the goal of joining multiple models together.
AdaBoost assigns more weight to which of the following?
💡 Hint: Consider which instances help improve the model most.
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Challenge Problems
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Explain how boosting can lead to overfitting in certain scenarios. Provide an example.
💡 Hint: Consider situations where complex models are problematic.
Design an experiment comparing the effectiveness of AdaBoost and XGBoost on a real-world dataset of your choosing.
💡 Hint: Think about what metrics best indicate performance.
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