Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 249 · 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.🏷️ 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
2. 2.🏷️ 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
3. 3.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
4. 4.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
5. 5.True or false: “wrong labels” is bad for training a model. (a) False (b) True
6. 6.🏷️ 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
7. 7.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) new data for testing (d) testing on training data
8. 8.True or false: “many varied examples” is bad for training a model. (a) True (b) False
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
10. 10.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) new data for testing (d) copies of one photo
11. 11.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) examples of every type (d) wrong labels
12. 12.True or false: “correct labels” is bad for training a model. (a) False (b) True
13. 13.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
14. 14.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
15. 15.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) only one kind of example (d) new data for testing
16. 16.True or false: “checking labels twice” is good for training a model. (a) True (b) False
17. 17.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
18. 18.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) checking labels twice (d) copies of one photo
19. 19.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
20. 20.Which of these is bad for training a model? (a) many varied examples (b) blurry, unclear photos (c) correct labels (d) photos in many lights
21. 21.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) many varied examples (d) correct labels
23. 23.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
24. 24.True or false: “only one kind of example” is good for training a model. (a) False (b) True
25. 25.True or false: “very few examples” is good for training a model. (a) False (b) True
26. 26.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) examples of every type (d) only one kind of example
30. 30.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) blurry, unclear photos (d) only one kind of example
31. 31.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
32. 32.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
33. 33.True or false: “many varied examples” is good for training a model. (a) True (b) False
34. 34.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
35. 35.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
36. 36.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
37. 37.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
38. 38.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
39. 39.True or false: “examples of every type” is good for training a model. (a) False (b) True
40. 40.True or false: “copies of one photo” is bad for training a model. (a) True (b) False

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