Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 475 · 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? “Science project groups are on the board” (a) not spam (b) spam
2. 2.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) testing on training data (d) wrong labels
3. 3.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
4. 4.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) very few examples (d) photos in many lights
5. 5.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) testing on training data (d) blurry, unclear photos
6. 6.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
7. 7.Which of these is good for training a model? (a) examples of every type (b) testing on training data (c) blurry, unclear photos (d) copies of one photo
8. 8.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
9. 9.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) labels added at random (d) clear, sharp examples
10. 10.Which of these is good for training a model? (a) copies of one photo (b) clear, sharp examples (c) only one kind of example (d) labels added at random
11. 11.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
12. 12.🔍 Which is the odd one out? (a) correct labels (b) testing on training data (c) examples of every type (d) clear, sharp examples
13. 13.True or false: “labels added at random” is bad for training a model. (a) True (b) False
14. 14.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
15. 15.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
16. 16.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) correct labels (d) labels added at random
17. 17.🏷️ 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
18. 18.Which of these is bad for training a model? (a) testing on training data (b) correct labels (c) checking labels twice (d) examples of every type
19. 19.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
20. 20.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
21. 21.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) examples of every type (d) photos in many lights
22. 22.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
23. 23.True or false: “new data for testing” is bad for training a model. (a) False (b) True
24. 24.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
25. 25.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
26. 26.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
27. 27.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
28. 28.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
29. 29.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
30. 30.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
31. 31.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
32. 32.🏷️ 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
33. 33.🏷️ 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
34. 34.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) checking labels twice (d) blurry, unclear photos
35. 35.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
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.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
38. 38.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) many varied examples (d) only one kind of example
39. 39.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
40. 40.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) wrong labels (d) blurry, unclear photos

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