Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 252 · 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) testing on training data (b) labels added at random (c) examples of every type (d) copies of one photo
2. 2.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
3. 3.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
4. 4.🏷️ 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
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
6. 6.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
7. 7.True or false: “new data for testing” is good for training a model. (a) False (b) True
8. 8.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
9. 9.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
10. 10.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the right answer tag (d) the price
11. 11.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) blurry, unclear photos (b) only one kind of example (c) correct labels (d) very few examples
13. 13.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
14. 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
17. 17.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
18. 18.True or false: “many varied examples” is bad for training a model. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) wrong labels (b) very few examples (c) new data for testing (d) blurry, unclear photos
20. 20.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) labels added at random (d) photos in many lights
21. 21.True or false: “labels added at random” is good for training a model. (a) True (b) False
22. 22.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
23. 23.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
24. 24.True or false: “many varied examples” is good for training a model. (a) True (b) False
25. 25.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
26. 26.True or false: “correct labels” is bad for training a model. (a) False (b) True
27. 27.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) photos in many lights (d) new data for testing
29. 29.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
30. 30.Which of these is bad for training a model? (a) clear, sharp examples (b) wrong labels (c) many varied examples (d) correct labels
31. 31.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
32. 32.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
33. 33.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
34. 34.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) labels added at random (d) photos in many lights
35. 35.🏷️ 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
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
37. 37.True or false: “wrong labels” is bad for training a model. (a) False (b) True
38. 38.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) very few examples (d) correct labels
39. 39.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) many varied examples (d) labels added at random
40. 40.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True

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