Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 294 · 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 good for training a model. (a) True (b) False
2. 2.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
3. 3.🏷️ 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
4. 4.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) testing on training data (d) blurry, unclear photos
5. 5.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) examples of every type (d) checking labels twice
6. 6.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) correct labels (d) clear, sharp examples
7. 7.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
8. 8.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) new data for testing (d) labels added at random
9. 9.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
10. 10.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
11. 11.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
13. 13.🏷️ 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
14. 14.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
15. 15.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
17. 17.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
18. 18.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
19. 19.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
20. 20.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) wrong labels (d) testing on training data
21. 21.🏷️ 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
22. 22.True or false: “testing on training data” is good for training a model. (a) True (b) False
23. 23.True or false: “correct labels” is good for training a model. (a) False (b) True
24. 24.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
25. 25.True or false: “copies of one photo” is good for training a model. (a) False (b) True
26. 26.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) checking labels twice (d) wrong labels
27. 27.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) photos in many lights (d) copies of one photo
28. 28.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) photos in many lights (d) very few examples
29. 29.True or false: “many varied examples” is bad for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
31. 31.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) very few examples (d) many varied examples
32. 32.True or false: “very few examples” is bad for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
34. 34.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) very few examples (d) only one kind of example
35. 35.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
36. 36.True or false: “correct labels” is bad for training a model. (a) False (b) True
37. 37.True or false: “photos in many lights” 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) many varied examples (c) correct labels (d) clear, sharp examples
39. 39.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) photos in many lights (d) very few examples
40. 40.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False

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