Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 177 · 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: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
2. 2.True or false: “many varied examples” is good for training a model. (a) False (b) True
3. 3.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) correct labels (d) labels added at random
4. 4.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
5. 5.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) correct labels (d) copies of one photo
6. 6.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
7. 7.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) labels added at random (d) examples of every type
8. 8.🏷️ 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
9. 9.🔍 Which is the odd one out? (a) wrong labels (b) many varied examples (c) clear, sharp examples (d) correct labels
10. 10.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
11. 11.🏷️ 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
12. 12.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) checking labels twice (d) photos in many lights
13. 13.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
14. 14.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) checking labels twice
15. 15.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
16. 16.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
17. 17.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
18. 18.True or false: “many varied examples” is bad for training a model. (a) True (b) False
19. 19.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) photos in many lights (d) only one kind of example
21. 21.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) new data for testing (d) wrong labels
22. 22.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
23. 23.True or false: “wrong labels” is bad for training a model. (a) False (b) True
24. 24.True or false: “labels added at random” is good for training a model. (a) False (b) True
25. 25.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
26. 26.🏷️ 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
27. 27.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
28. 28.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) correct labels (d) very few examples
29. 29.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
31. 31.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
32. 32.True or false: “correct labels” is bad for training a model. (a) True (b) False
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
34. 34.📚 Good or bad for training a model: only one kind of example? (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.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
37. 37.True or false: “examples of every type” is bad for training a model. (a) False (b) True
38. 38.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) very few examples (d) many varied examples
39. 39.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
40. 40.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training

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