Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 151 · 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: “many varied examples” is bad 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.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
4. 4.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) new data for testing (d) very few examples
5. 5.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
6. 6.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
7. 7.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) blurry, unclear photos (d) only one kind of example
9. 9.True or false: “new data for testing” is good for training a model. (a) False (b) True
10. 10.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
11. 11.🏷️ 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
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) many labelled photos (d) one single photo
13. 13.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
14. 14.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) many varied examples (d) copies of one photo
15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
17. 17.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) copies of one photo (d) blurry, unclear photos
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
19. 19.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) wrong labels (d) correct labels
20. 20.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
21. 21.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
22. 22.True or false: “very few examples” is bad for training a model. (a) False (b) True
23. 23.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
24. 24.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task
25. 25.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) examples of every type (d) clear, sharp examples
27. 27.Which of these is good for training a model? (a) examples of every type (b) only one kind of example (c) wrong labels (d) testing on training data
28. 28.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
29. 29.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) correct labels (d) testing on training data
30. 30.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
31. 31.🏷️ 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
32. 32.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
33. 33.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
34. 34.True or false: “testing on training data” is bad for training a model. (a) True (b) False
35. 35.True or false: “wrong labels” is bad for training a model. (a) True (b) False
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
37. 37.True or false: “correct labels” is good for training a model. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) examples of every type (d) labels added at random
39. 39.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) only one kind of example (d) clear, sharp examples
40. 40.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False

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