Machine Learning Intermediate Quiz 1

1. Which technique is commonly used to prevent overfitting in machine learning models?

2. What does the "k" in k-Nearest Neighbors represent?

3. Which metric is best for evaluating a regression model?

4. What is the main idea behind ensemble methods?

5. Which algorithm is an example of an ensemble method?

6. What is the purpose of cross-validation?

7. Which of the following is a hyperparameter in a decision tree?

8. Which method is commonly used for dimensionality reduction?

9. What is the main advantage of using feature selection?

10. What is a ROC curve used for?