Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 473 · 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.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
2. 2.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
3. 3.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) copies of one photo (d) correct labels
4. 4.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
5. 5.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
7. 7.Which of these is good for training a model? (a) clear, sharp examples (b) wrong labels (c) very few examples (d) blurry, unclear photos
8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
9. 9.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
10. 10.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
11. 11.Which of these is good for training a model? (a) many varied examples (b) labels added at random (c) wrong labels (d) very few examples
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.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster
14. 14.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
15. 15.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
16. 16.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) many varied examples (d) new data for testing
18. 18.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
19. 19.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) correct labels (d) new data for testing
21. 21.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
22. 22.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) many labelled photos (d) one single photo
23. 23.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) blurry, unclear photos (d) many varied examples
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
25. 25.True or false: “examples of every type” is bad for training a model. (a) False (b) True
26. 26.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
27. 27.🏷️ 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
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) copies of one photo (d) testing on training data
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
30. 30.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
31. 31.True or false: “testing on training data” is good for training a model. (a) True (b) False
32. 32.True or false: “very few examples” is bad for training a model. (a) True (b) False
33. 33.True or false: “wrong labels” is good for training a model. (a) False (b) True
34. 34.🏷️ 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
35. 35.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
36. 36.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
37. 37.True or false: “correct labels” is good for training a model. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) examples of every type (d) correct labels
39. 39.🏷️ 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
40. 40.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training

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