Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 115 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
2. 2.🥭 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 will turn yellow (d) it may get it wrong
3. 3.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
4. 4.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
5. 5.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
6. 6.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
7. 7.🏷️ 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
8. 8.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) examples of every type (d) only one kind of example
9. 9.Which of these is good for training a model? (a) only one kind of example (b) correct labels (c) labels added at random (d) wrong labels
10. 10.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
11. 11.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) correct labels (d) labels added at random
12. 12.🏷️ 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
13. 13.True or false: “many varied examples” is good for training a model. (a) False (b) True
14. 14.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
16. 16.Which of these is good for training a model? (a) very few examples (b) clear, sharp examples (c) labels added at random (d) only one kind of example
17. 17.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) correct labels (d) very few examples
19. 19.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
20. 20.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
21. 21.Which of these is good for training a model? (a) testing on training data (b) new data for testing (c) wrong labels (d) blurry, unclear photos
22. 22.True or false: “correct labels” is good for training a model. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) only one kind of example (c) many varied examples (d) photos in many lights
24. 24.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
25. 25.True or false: “new data for testing” is bad for training a model. (a) False (b) True
26. 26.🏷️ 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
27. 27.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
28. 28.🏷️ 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
29. 29.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
30. 30.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
31. 31.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
32. 32.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) many varied examples (d) testing on training data
33. 33.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) many varied examples (d) very few examples
34. 34.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
35. 35.🏷️ 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
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
37. 37.True or false: “only one kind of example” is good for training a model. (a) False (b) True
38. 38.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
39. 39.🏷️ 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
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False

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