Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 269 · 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? “Happy birthday! See you at lunch” (a) spam (b) not spam
2. 2.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
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.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) checking labels twice (d) many varied examples
5. 5.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) clear, sharp examples (d) photos in many lights
6. 6.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
8. 8.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
9. 9.🏷️ 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
10. 10.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) labels added at random (d) checking labels twice
11. 11.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
12. 12.Which of these is bad for training a model? (a) examples of every type (b) labels added at random (c) clear, sharp examples (d) photos in many lights
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 of these is good for training a model? (a) new data for testing (b) very few examples (c) labels added at random (d) wrong labels
15. 15.True or false: “examples of every type” is good for training a model. (a) True (b) False
16. 16.True or false: “many varied examples” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
18. 18.True or false: “copies of one photo” is good for training a model. (a) False (b) True
19. 19.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
20. 20.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
21. 21.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) the price (d) a sticker on a laptop
22. 22.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
23. 23.🏷️ 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
24. 24.True or false: “examples of every type” is bad for training a model. (a) True (b) False
25. 25.Which of these is bad for training a model? (a) examples of every type (b) copies of one photo (c) photos in many lights (d) new data for testing
26. 26.True or false: “correct labels” is good for training a model. (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) wrong labels (d) many varied examples
28. 28.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) wrong labels (d) many varied examples
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
30. 30.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
32. 32.Which of these is bad for training a model? (a) testing on training data (b) many varied examples (c) correct labels (d) photos in many lights
33. 33.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
35. 35.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) only one kind of example (d) checking labels twice
36. 36.🏷️ 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
37. 37.🏷️ 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
38. 38.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
39. 39.True or false: “testing on training data” is bad for training a model. (a) False (b) True
40. 40.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training

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