Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 251 · 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 is the odd one out? (a) clear, sharp examples (b) very few examples (c) copies of one photo (d) only one kind of example
2. 2.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) only one kind of example (d) wrong labels
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
4. 4.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
5. 5.🏷️ 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
6. 6.🏷️ 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
7. 7.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) checking labels twice (d) very few examples
8. 8.🏷️ 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
9. 9.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) wrong labels (d) examples of every type
10. 10.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
11. 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
12. 12.True or false: “many varied examples” is bad for training a model. (a) False (b) True
13. 13.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) many varied examples (d) clear, sharp examples
14. 14.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
15. 15.True or false: “testing on training data” is good for training a model. (a) True (b) False
16. 16.🏷️ 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
17. 17.🔍 Which is the odd one out? (a) testing on training data (b) correct labels (c) wrong labels (d) labels added at random
18. 18.True or false: “new data for testing” is good for training a model. (a) True (b) False
19. 19.Which of these is good for training a model? (a) correct labels (b) labels added at random (c) very few examples (d) testing on training data
20. 20.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) only one kind of example (d) many varied examples
21. 21.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
22. 22.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
23. 23.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
24. 24.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
25. 25.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) very few examples (d) new data for testing
26. 26.🔍 Which is the odd one out? (a) clear, sharp examples (b) wrong labels (c) new data for testing (d) correct labels
27. 27.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
28. 28.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
30. 30.Which of these is good for training a model? (a) copies of one photo (b) photos in many lights (c) very few examples (d) only one kind of example
31. 31.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
32. 32.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
33. 33.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) labels added at random (d) many varied examples
34. 34.True or false: “correct labels” is bad for training a model. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) new data for testing (d) labels added at random
36. 36.🏷️ 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
37. 37.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) blurry, unclear photos (d) many varied examples
38. 38.🏷️ 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
39. 39.True or false: “examples of every type” is bad for training a model. (a) True (b) False
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam

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