Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 41 · 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.Which of these is bad for training a model? (a) new data for testing (b) wrong labels (c) examples of every type (d) photos in many lights
2. 2.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
3. 3.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) wrong labels (d) photos in many lights
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
5. 5.Which of these is bad for training a model? (a) examples of every type (b) photos in many lights (c) very few examples (d) checking labels twice
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
7. 7.Which of these is bad for training a model? (a) labels added at random (b) new data for testing (c) checking labels twice (d) correct labels
8. 8.🏷️ 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
9. 9.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) testing on training data (d) photos in many lights
10. 10.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
12. 12.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
13. 13.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
15. 15.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) new data for testing (d) copies of one photo
16. 16.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
17. 17.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) many varied examples (d) wrong labels
18. 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
19. 19.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) blurry, unclear photos (d) wrong labels
20. 20.True or false: “examples of every type” is bad for training a model. (a) False (b) True
21. 21.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) examples of every type (b) testing on training data (c) checking labels twice (d) photos in many lights
23. 23.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
25. 25.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) examples of every type (d) blurry, unclear photos
26. 26.True or false: “only one kind of example” is good for training a model. (a) False (b) True
27. 27.True or false: “very few examples” is good for training a model. (a) True (b) False
28. 28.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
29. 29.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) only one kind of example (d) examples of every type
31. 31.🏷️ 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
32. 32.True or false: “labels added at random” is good for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) copies of one photo (d) many varied examples
36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
37. 37.True or false: “copies of one photo” is good for training a model. (a) False (b) True
38. 38.True or false: “very few examples” is bad for training a model. (a) True (b) False
39. 39.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
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) spam (b) not spam

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