Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 108 · 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.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) correct labels (b) wrong labels (c) checking labels twice (d) clear, sharp examples
3. 3.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
4. 4.🔍 Which is the odd one out? (a) labels added at random (b) many varied examples (c) photos in many lights (d) new data for testing
5. 5.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
6. 6.True or false: “examples of every type” is good for training a model. (a) True (b) False
7. 7.True or false: “photos in many lights” is good for training a model. (a) True (b) False
8. 8.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
10. 10.🏷️ 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
11. 11.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
13. 13.True or false: “new data for testing” is bad for training a model. (a) True (b) False
14. 14.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) very few examples (d) examples of every type
16. 16.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) very few examples (d) only one kind of example
17. 17.Which of these is good for training a model? (a) examples of every type (b) testing on training data (c) wrong labels (d) copies of one photo
18. 18.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
19. 19.🏷️ 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
20. 20.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
21. 21.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) checking labels twice (d) testing on training data
22. 22.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
23. 23.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) photos in many lights (d) examples of every type
24. 24.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) many varied examples (d) checking labels twice
25. 25.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
26. 26.🏷️ 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
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
29. 29.🏷️ 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
30. 30.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
34. 34.True or false: “correct labels” is bad for training a model. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) labels added at random (d) new data for testing
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
38. 38.True or false: “labels added at random” is bad for training a model. (a) False (b) True
39. 39.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
40. 40.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False

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