7.2.1 - Definition
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Practice Questions
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What does the acronym Bagging stand for?
💡 Hint: Break down the word into its components.
What is one advantage of using Bagging?
💡 Hint: Think about how combining models can help.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is Bagging primarily used for?
💡 Hint: Think about the benefits of averaging multiple models.
True or False: Bagging improves model accuracy by averaging models trained on the same dataset.
💡 Hint: Consider how various datasets are used.
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Challenge Problems
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Given a highly complex dataset with many outliers, explain why Bagging might be more beneficial than a single decision tree for this case.
💡 Hint: Consider the impact of outliers on model performance.
If you have limited computational resources, which factors must you evaluate before deciding to implement a Bagging approach?
💡 Hint: Think about cost vs. performance ratio.
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