Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 485 · 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) False (b) True
2. 2.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
5. 5.True or false: “labels added at random” is bad for training a model. (a) False (b) True
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
7. 7.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) new data for testing (d) testing on training data
8. 8.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) blurry, unclear photos (d) labels added at random
9. 9.True or false: “labels added at random” is good for training a model. (a) True (b) False
10. 10.True or false: “testing on training data” is good for training a model. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) many varied examples (d) correct labels
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
13. 13.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) photos in many lights (d) labels added at random
15. 15.🔍 Which is the odd one out? (a) checking labels twice (b) copies of one photo (c) new data for testing (d) photos in many lights
16. 16.True or false: “photos in many lights” is good for training a model. (a) False (b) True
17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
18. 18.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
19. 19.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
20. 20.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) labels added at random (d) correct labels
21. 21.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
22. 22.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) wrong labels (d) only one kind of example
25. 25.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
26. 26.True or false: “wrong labels” is bad for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
28. 28.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
29. 29.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
30. 30.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
31. 31.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) new data for testing (d) labels added at random
32. 32.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) checking labels twice (d) only one kind of example
33. 33.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
34. 34.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) checking labels twice (d) very few examples
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
36. 36.🏷️ 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
37. 37.True or false: “many varied examples” is bad for training a model. (a) False (b) True
38. 38.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
39. 39.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) only one kind of example (d) many varied examples
40. 40.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True

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