Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 370 · 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 good for training a model? (a) copies of one photo (b) clear, sharp examples (c) labels added at random (d) only one kind of example
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) testing on training data (d) clear, sharp examples
3. 3.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
4. 4.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) only one kind of example (d) photos in many lights
5. 5.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) correct labels (d) testing on training data
6. 6.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
8. 8.True or false: “correct labels” is good for training a model. (a) False (b) True
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
12. 12.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) new data for testing (d) wrong labels
14. 14.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
15. 15.True or false: “labels added at random” is good for training a model. (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) blurry, unclear photos (d) copies of one photo
17. 17.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
18. 18.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
21. 21.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
22. 22.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
24. 24.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) blurry, unclear photos (d) photos in many lights
25. 25.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
26. 26.Which of these is good for training a model? (a) checking labels twice (b) copies of one photo (c) only one kind of example (d) testing on training data
27. 27.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) very few examples (d) correct labels
28. 28.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
29. 29.🏷️ 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
30. 30.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
31. 31.True or false: “new data for testing” is bad for training a model. (a) True (b) False
32. 32.🏷️ 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
33. 33.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
34. 34.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) labels added at random (d) many varied examples
35. 35.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
36. 36.True or false: “photos in many lights” is good for training a model. (a) False (b) True
37. 37.🏷️ 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
38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
39. 39.🏷️ 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
40. 40.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training

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