Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 102 · 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: “copies of one photo” is good for training a model. (a) True (b) False
2. 2.🏷️ 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
3. 3.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
4. 4.Which of these is bad for training a model? (a) blurry, unclear photos (b) correct labels (c) new data for testing (d) clear, sharp examples
5. 5.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
6. 6.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
7. 7.🏷️ 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
8. 8.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
9. 9.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
10. 10.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
11. 11.True or false: “testing on training data” is good for training a model. (a) False (b) True
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
15. 15.True or false: “very few examples” is good for training a model. (a) False (b) True
16. 16.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) testing on training data (d) blurry, unclear photos
17. 17.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) examples of every type (d) only one kind of example
18. 18.Which of these is good for training a model? (a) very few examples (b) photos in many lights (c) only one kind of example (d) testing on training data
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) blurry, unclear photos (d) correct labels
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
21. 21.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
22. 22.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) copies of one photo (d) labels added at random
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
25. 25.Which of these is good for training a model? (a) wrong labels (b) correct labels (c) testing on training data (d) labels added at random
26. 26.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) examples of every type (d) correct labels
27. 27.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
29. 29.True or false: “checking labels twice” is good for training a model. (a) True (b) False
30. 30.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
31. 31.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
32. 32.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
34. 34.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
35. 35.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) many varied examples (d) checking labels twice
37. 37.True or false: “many varied examples” is good for training a model. (a) True (b) False
38. 38.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
39. 39.True or false: “only one kind of example” is good for training a model. (a) False (b) True
40. 40.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) the font size (d) a sticker on a laptop

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