Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 244 · 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 is the odd one out? (a) examples of every type (b) testing on training data (c) wrong labels (d) labels added at random
2. 2.🏷️ 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
3. 3.True or false: the message “Science project groups are on the board” 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? “You won a free phone! Click now!” (a) not spam (b) spam
5. 5.🐶 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
6. 6.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
7. 7.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
8. 8.Which of these is good for training a model? (a) testing on training data (b) correct labels (c) very few examples (d) only one kind of example
9. 9.True or false: “labels added at random” is bad for training a model. (a) True (b) False
10. 10.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
13. 13.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
14. 14.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
15. 15.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) correct labels (d) very few examples
16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) blurry, unclear photos (d) correct labels
17. 17.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
18. 18.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) examples of every type (d) blurry, unclear photos
19. 19.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) examples of every type (d) only one kind of example
20. 20.🏷️ 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
21. 21.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
22. 22.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) testing on training data (d) only one kind of example
23. 23.Which of these is good for training a model? (a) wrong labels (b) only one kind of example (c) many varied examples (d) testing on training data
24. 24.🏷️ 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
25. 25.🏷️ 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
26. 26.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
27. 27.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) labels added at random (d) correct labels
28. 28.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
29. 29.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
31. 31.🏷️ 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
32. 32.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) clear, sharp examples (d) labels added at random
34. 34.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
36. 36.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) wrong labels (d) checking labels twice
37. 37.🏷️ 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
38. 38.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
39. 39.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) very few examples (d) examples of every type
40. 40.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True

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