Machine Learning Intermediate Quiz 3

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Intermediate Quiz 3
1. What is the main use of the confusion matrix?
2. Which of these is a regularization technique?
3. What is the purpose of dropout in neural networks?
4. Which metric is best for imbalanced classification problems?
5. Which method is used to tune hyperparameters?
6. What does a high variance in a model indicate?
7. Which of these is a non-parametric algorithm?
8. What is the main goal of dimensionality reduction?
9. Which of the following is a clustering evaluation metric?
10. What is early stopping in model training?
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