Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 577 · 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? “Send your password to claim a prize” (a) not spam (b) spam
2. 2.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) very few examples (d) only one kind of example
3. 3.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
4. 4.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
5. 5.True or false: “wrong labels” is bad for training a model. (a) True (b) False
6. 6.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will be perfect (d) it will turn yellow
8. 8.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
9. 9.🏷️ 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
10. 10.Which of these is good for training a model? (a) clear, sharp examples (b) very few examples (c) testing on training data (d) only one kind of example
11. 11.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
12. 12.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) photos in many lights (d) only one kind of example
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
15. 15.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
16. 16.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) new data for testing (d) very few examples
17. 17.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
18. 18.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
20. 20.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
21. 21.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
22. 22.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) examples of every type (d) correct labels
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) many varied examples (d) very few examples
25. 25.True or false: “many varied examples” is bad for training a model. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) clear, sharp examples (b) new data for testing (c) photos in many lights (d) testing on training data
27. 27.True or false: “very few examples” is bad for training a model. (a) True (b) False
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
29. 29.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) wrong labels (d) labels added at random
30. 30.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
31. 31.True or false: “photos in many lights” is good for training a model. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) blurry, unclear photos (b) checking labels twice (c) copies of one photo (d) very few examples
33. 33.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
34. 34.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
35. 35.Which of these is bad for training a model? (a) labels added at random (b) many varied examples (c) photos in many lights (d) new data for testing
36. 36.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
37. 37.True or false: “many varied examples” is good for training a model. (a) False (b) True
38. 38.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
39. 39.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training

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