Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 367 · 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 account is locked, pay ₹99 now” (a) not spam (b) spam
2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
3. 3.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) clear, sharp examples (d) very few examples
4. 4.🏷️ 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
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
7. 7.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
9. 9.True or false: “photos in many lights” is good for training a model. (a) False (b) True
10. 10.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
13. 13.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
15. 15.True or false: “checking labels twice” is good for training a model. (a) False (b) True
16. 16.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
17. 17.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
18. 18.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) only one kind of example (d) correct labels
19. 19.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
20. 20.Which of these is good for training a model? (a) very few examples (b) examples of every type (c) blurry, unclear photos (d) wrong labels
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.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
24. 24.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
25. 25.True or false: “testing on training data” is bad for training a model. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) many varied examples (d) checking labels twice
27. 27.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) testing on training data (d) checking labels twice
28. 28.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
29. 29.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) labels added at random (d) new data for testing
30. 30.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
31. 31.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) checking labels twice (d) new data for testing
32. 32.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
33. 33.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
34. 34.Which of these is bad for training a model? (a) checking labels twice (b) copies of one photo (c) correct labels (d) photos in many lights
35. 35.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) many varied examples (d) examples of every type
38. 38.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) testing on training data
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True

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