Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 573 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
2. 2.True or false: “correct labels” is bad for training a model. (a) False (b) True
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
4. 4.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
5. 5.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) blurry, unclear photos (d) many varied examples
6. 6.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
8. 8.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
9. 9.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) new data for testing (d) checking labels twice
10. 10.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
11. 11.True or false: “very few examples” is good for training a model. (a) True (b) False
12. 12.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
13. 13.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
14. 14.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
15. 15.True or false: “photos in many lights” is good for training a model. (a) True (b) False
16. 16.True or false: “labels added at random” is good for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) correct labels (d) copies of one photo
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) correct labels (d) examples of every type
20. 20.🔍 Which is the odd one out? (a) very few examples (b) wrong labels (c) blurry, unclear photos (d) clear, sharp examples
21. 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
22. 22.Which of these is good for training a model? (a) very few examples (b) clear, sharp examples (c) blurry, unclear photos (d) wrong labels
23. 23.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
24. 24.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) testing on training data (d) labels added at random
25. 25.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
26. 26.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
27. 27.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) testing on training data (d) correct labels
28. 28.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) examples of every type (d) photos in many lights
29. 29.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
31. 31.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
32. 32.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
33. 33.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) wrong labels (d) labels added at random
34. 34.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) copies of one photo (d) blurry, unclear photos
35. 35.True or false: “wrong labels” is good for training a model. (a) True (b) False
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
38. 38.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
39. 39.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
40. 40.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False

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