Machine Learning quiz

Test your Machine Learning knowledge with a free interactive quiz — 28 questions with answers and explanations. No signup needed to play.

What is supervised learning?

1. What is supervised learning?
2. What is a "label" (or "target")?
3. What is "feature scaling" (e.g. normalization/standardization), and why does it matter for some algorithms?
4. What is a decision tree?
5. What is unsupervised learning?
6. What is the difference between precision and recall?
7. What is the purpose of splitting data into training and test sets?
8. What is a "feature" in machine learning?
9. What is "accuracy" as a metric, and why can it be misleading for imbalanced datasets?
10. What is a confusion matrix?
11. What is "overfitting"?
12. What is a hyperparameter, as opposed to a model parameter?

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