Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 91 · 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.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
2. 2.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
3. 3.Which of these is good for training a model? (a) photos in many lights (b) testing on training data (c) copies of one photo (d) very few examples
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
5. 5.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
6. 6.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
7. 7.🏷️ 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
8. 8.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
9. 9.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
10. 10.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) checking labels twice (d) only one kind of example
11. 11.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
12. 12.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) examples of every type (d) copies of one photo
13. 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
14. 14.True or false: “labels added at random” is good for training a model. (a) True (b) False
15. 15.🏷️ 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
16. 16.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
17. 17.True or false: “photos in many lights” is good for training a model. (a) True (b) False
18. 18.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
19. 19.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
20. 20.🏷️ 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
21. 21.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
22. 22.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
23. 23.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
24. 24.🏷️ 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
25. 25.🔍 Which is the odd one out? (a) correct labels (b) blurry, unclear photos (c) clear, sharp examples (d) new data for testing
26. 26.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) photos in many lights (d) wrong labels
27. 27.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
28. 28.Which of these is good for training a model? (a) testing on training data (b) many varied examples (c) very few examples (d) wrong labels
29. 29.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) new data for testing (d) many varied examples
30. 30.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
32. 32.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
33. 33.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
35. 35.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) testing on training data (d) examples of every type
36. 36.🏷️ 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
37. 37.True or false: “correct labels” is bad for training a model. (a) True (b) False
38. 38.True or false: “wrong labels” is bad for training a model. (a) False (b) True
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
40. 40.True or false: “new data for testing” is bad for training a model. (a) False (b) True

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