Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 442 · 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? “Your library book is due on Monday” (a) spam (b) not spam
2. 2.🔍 Which is the odd one out? (a) blurry, unclear photos (b) many varied examples (c) correct labels (d) examples of every type
3. 3.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
4. 4.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) correct labels (d) only one kind of example
5. 5.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
6. 6.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) labels added at random (d) checking labels twice
7. 7.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) clear, sharp examples (d) new data for testing
8. 8.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) only one kind of example (d) blurry, unclear photos
10. 10.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
11. 11.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
12. 12.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) many varied examples (d) only one kind of example
13. 13.True or false: “labels added at random” is good for training a model. (a) False (b) True
14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
15. 15.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) copies of one photo (d) examples of every type
16. 16.True or false: “many varied examples” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
18. 18.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
19. 19.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
20. 20.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
21. 21.🏷️ 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
22. 22.True or false: “many varied examples” is good for training a model. (a) True (b) False
23. 23.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
24. 24.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) examples of every type (b) labels added at random (c) clear, sharp examples (d) correct labels
26. 26.True or false: “only one kind of example” is good for training a model. (a) True (b) False
27. 27.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
28. 28.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
29. 29.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
30. 30.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) many varied examples (d) testing on training data
31. 31.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
32. 32.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) many varied examples (d) checking labels twice
33. 33.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
34. 34.True or false: “photos in many lights” is good for training a model. (a) False (b) True
35. 35.🏷️ 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
36. 36.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
38. 38.True or false: “testing on training data” is bad for training a model. (a) True (b) False
39. 39.True or false: “wrong labels” is bad for training a model. (a) False (b) True
40. 40.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data

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