Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 71 · 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: “labels added at random” is bad for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) checking labels twice (d) many varied examples
3. 3.🏷️ 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
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
5. 5.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) copies of one photo (d) new data for testing
6. 6.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) clear, sharp examples (d) correct labels
7. 7.🏷️ 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
8. 8.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) examples of every type (d) photos in many lights
10. 10.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
12. 12.True or false: “correct labels” is bad for training a model. (a) True (b) False
13. 13.🏷️ 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
14. 14.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
15. 15.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
16. 16.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) checking labels twice (d) clear, sharp examples
17. 17.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
18. 18.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
19. 19.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) examples of every type (d) wrong labels
20. 20.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
21. 21.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
22. 22.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
23. 23.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) only one kind of example (d) labels added at random
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
25. 25.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) photos in many lights (d) very few examples
26. 26.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) very few examples (d) testing on training data
27. 27.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
28. 28.🏷️ 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
29. 29.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
30. 30.True or false: “labels added at random” is good for training a model. (a) True (b) False
31. 31.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
32. 32.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) checking labels twice
33. 33.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) blurry, unclear photos (d) correct labels
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) spam (b) not spam
35. 35.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
36. 36.Which of these is bad for training a model? (a) new data for testing (b) examples of every type (c) photos in many lights (d) copies of one photo
37. 37.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
38. 38.🏷️ 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
39. 39.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
40. 40.🏷️ 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

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