Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 37 · 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) blurry, unclear photos (b) very few examples (c) clear, sharp examples (d) testing on training data
2. 2.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
3. 3.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) only one kind of example (d) photos in many lights
4. 4.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
5. 5.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) very few examples (d) new data for testing
8. 8.True or false: “correct labels” is good for training a model. (a) True (b) False
9. 9.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
10. 10.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
11. 11.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
12. 12.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
13. 13.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) blurry, unclear photos (d) only one kind of example
14. 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
15. 15.True or false: “many varied examples” is bad for training a model. (a) False (b) True
16. 16.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
17. 17.True or false: “only one kind of example” is good for training a model. (a) False (b) True
18. 18.True or false: “labels added at random” is bad for training a model. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) very few examples (d) testing on training data
20. 20.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
21. 21.Which of these is good for training a model? (a) correct labels (b) only one kind of example (c) very few examples (d) copies of one photo
22. 22.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) only one kind of example (d) labels added at random
23. 23.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) checking labels twice (d) correct labels
24. 24.Which of these is good for training a model? (a) wrong labels (b) examples of every type (c) testing on training data (d) only one kind of example
25. 25.🔍 Which is the odd one out? (a) many varied examples (b) wrong labels (c) clear, sharp examples (d) examples of every type
26. 26.Which of these is good for training a model? (a) testing on training data (b) new data for testing (c) labels added at random (d) copies of one photo
27. 27.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
28. 28.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
29. 29.🏷️ 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
30. 30.🏷️ 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
31. 31.Which of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) clear, sharp examples (d) new data for testing
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
33. 33.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
34. 34.Which of these is bad for training a model? (a) many varied examples (b) checking labels twice (c) testing on training data (d) photos in many lights
35. 35.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) testing on training data (d) blurry, unclear photos
37. 37.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
38. 38.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
39. 39.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) many varied examples (d) testing on training data
40. 40.🏷️ 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

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