7.4 - Stacking (Stacked Generalization)
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Practice Questions
Test your understanding with targeted questions
What is stacking in ensemble learning?
💡 Hint: Think about how diverse models can work together.
What is a base model?
💡 Hint: They are also known as level-0 learners.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does stacking in ensemble learning aim to improve?
💡 Hint: Consider the main goal of using multiple models.
True or False: The meta-model in stacking can be the same type as the base models.
💡 Hint: Think about the purpose of a meta-model.
1 more question available
Challenge Problems
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Given a classification task, propose a stacking strategy using at least three different models. Describe how you would set up the training and evaluation.
💡 Hint: Think about model diversity and evaluation metrics.
Critique the approach of stacking versus individual model performance. Under what circumstances would stacking be less advantageous?
💡 Hint: Consider performance metrics and resource constraints.
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