Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 76 · 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 “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
2. 2.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) blurry, unclear photos (d) copies of one photo
3. 3.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) clear, sharp examples (d) examples of every type
4. 4.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
5. 5.True or false: “wrong labels” is good for training a model. (a) False (b) True
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
7. 7.Which of these is good for training a model? (a) blurry, unclear photos (b) clear, sharp examples (c) wrong labels (d) testing on training data
8. 8.True or false: “very few examples” is bad for training a model. (a) False (b) True
9. 9.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) many varied examples (d) correct labels
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
13. 13.Which of these is bad for training a model? (a) many varied examples (b) copies of one photo (c) correct labels (d) examples of every type
14. 14.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
15. 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
16. 16.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
17. 17.🏷️ 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
18. 18.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) very few examples (d) photos in many lights
20. 20.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) very few examples (d) examples of every type
21. 21.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
22. 22.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
23. 23.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) examples of every type (d) wrong labels
24. 24.🏷️ 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
25. 25.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
26. 26.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) testing on training data (d) examples of every type
27. 27.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) testing on training data (d) new data for testing
30. 30.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) very few examples (d) blurry, unclear photos
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
33. 33.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
34. 34.True or false: “many varied examples” is bad for training a model. (a) True (b) False
35. 35.True or false: “examples of every type” is bad for training a model. (a) True (b) False
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
37. 37.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
38. 38.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) only one kind of example (d) new data for testing

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