Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 1 · 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) copies of one photo (b) many varied examples (c) clear, sharp examples (d) examples of every type
2. 2.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) correct labels (b) blurry, unclear photos (c) very few examples (d) only one kind of example
4. 4.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) clear, sharp examples (d) labels added at random
5. 5.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
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) not spam (b) spam
7. 7.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
8. 8.Which of these is good for training a model? (a) very few examples (b) many varied examples (c) wrong labels (d) copies of one photo
9. 9.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
10. 10.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
11. 11.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
12. 12.🏷️ 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
13. 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
14. 14.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) blurry, unclear photos (d) wrong labels
15. 15.True or false: “many varied examples” is bad for training a model. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) photos in many lights (d) only one kind of example
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
18. 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
19. 19.🏷️ 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
20. 20.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
21. 21.🏷️ 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
22. 22.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
24. 24.🏷️ 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
25. 25.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) copies of one photo (d) correct labels
26. 26.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
27. 27.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
28. 28.True or false: “wrong labels” is good for training a model. (a) True (b) False
29. 29.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
30. 30.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
31. 31.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) many varied examples (d) labels added at random
32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
33. 33.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) checking labels twice (d) wrong labels
34. 34.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
35. 35.True or false: “only one kind of example” is good for training a model. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) clear, sharp examples (b) very few examples (c) correct labels (d) many varied examples
37. 37.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) wrong labels (b) checking labels twice (c) labels added at random (d) copies of one photo
40. 40.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) only one kind of example (d) examples of every type

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