Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 96 · 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.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
2. 2.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) testing on training data (d) correct labels
3. 3.🏷️ 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
4. 4.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
5. 5.🏷️ 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
6. 6.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
8. 8.True or false: “wrong labels” is good for training a model. (a) False (b) True
9. 9.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
10. 10.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
12. 12.🏷️ 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
13. 13.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) clear, sharp examples (d) correct labels
14. 14.🥭 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 turn yellow (d) it will shut down
15. 15.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) testing on training data (d) copies of one photo
16. 16.🏷️ 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
17. 17.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) labels added at random (d) many varied examples
18. 18.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
19. 19.True or false: “only one kind of example” is good for training a model. (a) False (b) True
20. 20.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
21. 21.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
22. 22.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
23. 23.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
24. 24.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
25. 25.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) photos in many lights (d) testing on training data
26. 26.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) very few examples (d) photos in many lights
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
28. 28.Which of these is good for training a model? (a) examples of every type (b) very few examples (c) only one kind of example (d) labels added at random
29. 29.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) new data for testing (d) clear, sharp examples
30. 30.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) only one kind of example (b) clear, sharp examples (c) new data for testing (d) examples of every type
33. 33.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
34. 34.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
35. 35.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
36. 36.🏷️ 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
37. 37.🏷️ 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) spam (b) not spam
38. 38.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) many varied examples (d) wrong labels
39. 39.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
40. 40.True or false: “correct labels” is good for training a model. (a) False (b) True

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