Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 535 · 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.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) very few examples (d) checking labels twice
2. 2.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
3. 3.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
4. 4.🏷️ 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
5. 5.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) new data for testing (d) blurry, unclear photos
6. 6.Which of these is good for training a model? (a) labels added at random (b) only one kind of example (c) correct labels (d) blurry, unclear photos
7. 7.True or false: “new data for testing” is bad for training a model. (a) False (b) True
8. 8.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
10. 10.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) correct labels (d) blurry, unclear photos
11. 11.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
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.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
14. 14.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
17. 17.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) copies of one photo (d) blurry, unclear photos
18. 18.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) copies of one photo (d) many varied examples
19. 19.🏷️ 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
20. 20.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) blurry, unclear photos (d) correct labels
21. 21.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
22. 22.True or false: “correct labels” is bad for training a model. (a) False (b) True
23. 23.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
24. 24.🏷️ 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
25. 25.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
26. 26.Which of these is good for training a model? (a) clear, sharp examples (b) labels added at random (c) wrong labels (d) copies of one photo
27. 27.True or false: “labels added at random” is bad for training a model. (a) False (b) True
28. 28.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
29. 29.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
30. 30.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
31. 31.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) examples of every type (d) labels added at random
32. 32.🏷️ 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
33. 33.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) wrong labels (d) photos in many lights
34. 34.🏷️ 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
35. 35.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
36. 36.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
37. 37.🏷️ 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
38. 38.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training

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