MegaMaester

Artificial Intelligence

Machine Learning quiz

14 questions on Machine Learning, graded instantly with an explanation for every answer. Free and no sign-up — your best score is saved on this device. Want to study first? Read the Machine Learning lessons.

Machine Learning — Module Assessment

14 questions · pass mark 75%

  1. 1.What most clearly distinguishes machine learning from traditional rule-based programming?
  2. 2.Which statement correctly describes how AI, machine learning, and deep learning relate?
  3. 3.In machine learning, what is the difference between a feature and a label?
  4. 4.What is the main lesson the Netflix Prize is often cited for?
  5. 5.Which feature of the data determines whether you can use supervised learning?
  6. 6.A model that predicts a house's sale price from its features is performing which task?
  7. 7.What does generalization refer to in machine learning?
  8. 8.A model scores 99% on training data but only 68% on the test set. What is happening?
  9. 9.Which of these algorithms is generally the most transparent and easiest to explain to a non-expert?
  10. 10.K-means clustering is an example of which kind of learning?
  11. 11.On a dataset where 1% of people are sick, a model that predicts "healthy" for everyone will have an accuracy of about:
  12. 12.In a confusion matrix, a healthy person wrongly flagged as sick is a:
  13. 13.An HR team removes the "gender" field from a resume-screening model's inputs, yet the model still favors male candidates. What is the most likely explanation?
  14. 14.A fraud-detection model performed well for two years, then its accuracy quietly dropped after fraud tactics changed — with no code change and no error message. This is a textbook case of:
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