Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 247 · 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: “wrong labels” is good for training a model. (a) True (b) False
2. 2.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
3. 3.🏷️ 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
4. 4.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
5. 5.🏷️ 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
6. 6.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
7. 7.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
8. 8.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
9. 9.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
10. 10.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
11. 11.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) clear, sharp examples (d) wrong labels
12. 12.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
13. 13.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
14. 14.True or false: “checking labels twice” is good for training a model. (a) True (b) False
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
17. 17.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
18. 18.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
19. 19.True or false: “examples of every type” is bad for training a model. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) checking labels twice (d) wrong labels
21. 21.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) blurry, unclear photos (d) labels added at random
22. 22.🏷️ 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
23. 23.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
24. 24.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
25. 25.True or false: “new data for testing” is bad for training a model. (a) True (b) False
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) checking labels twice (d) very few examples
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
29. 29.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
30. 30.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
31. 31.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
32. 32.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
33. 33.True or false: “correct labels” is good for training a model. (a) False (b) True
34. 34.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
35. 35.True or false: “examples of every type” is good for training a model. (a) True (b) False
36. 36.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) new data for testing (d) many varied examples
37. 37.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) very few examples (d) wrong labels
38. 38.True or false: “copies of one photo” is good for training a model. (a) False (b) True
39. 39.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) testing on training data (d) photos in many lights
40. 40.🏷️ 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

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