Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 60 · 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? “Please buy milk on the way home” (a) not spam (b) spam
2. 2.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
3. 3.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) very few examples (d) clear, sharp examples
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
5. 5.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
6. 6.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
7. 7.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
8. 8.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
9. 9.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) wrong labels (d) very few examples
10. 10.True or false: “many varied examples” is bad for training a model. (a) False (b) True
11. 11.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
12. 12.True or false: “examples of every type” is good for training a model. (a) True (b) False
13. 13.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
14. 14.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) wrong labels (d) new data for testing
15. 15.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) clear, sharp examples (d) blurry, unclear photos
16. 16.🏷️ 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
17. 17.Which of these is good for training a model? (a) only one kind of example (b) checking labels twice (c) testing on training data (d) blurry, unclear photos
18. 18.True or false: “correct labels” is bad for training a model. (a) True (b) False
19. 19.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) blurry, unclear photos (d) many varied examples
20. 20.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
21. 21.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
22. 22.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a song about dogs (d) a list of rules only
25. 25.🏷️ 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
26. 26.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) testing on training data (d) checking labels twice
27. 27.True or false: “very few examples” is good for training a model. (a) True (b) False
28. 28.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) copies of one photo (d) examples of every type
29. 29.🏷️ 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
30. 30.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) examples of every type (d) copies of one photo
31. 31.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
32. 32.True or false: “only one kind of example” is good for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
34. 34.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
35. 35.🏷️ 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
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
37. 37.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
38. 38.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
39. 39.Which of these is good for training a model? (a) wrong labels (b) examples of every type (c) very few examples (d) copies of one photo
40. 40.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True

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