Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 81 · 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: “testing on training data” is good for training a model. (a) False (b) True
2. 2.🏷️ 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
3. 3.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) correct labels (d) testing on training data
4. 4.Which of these is good for training a model? (a) labels added at random (b) examples of every type (c) copies of one photo (d) only one kind of example
5. 5.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) wrong labels (d) many varied examples
6. 6.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) examples of every type (d) very few examples
7. 7.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
8. 8.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
9. 9.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
10. 10.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
12. 12.🔍 Which is the odd one out? (a) clear, sharp examples (b) copies of one photo (c) wrong labels (d) very few examples
13. 13.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
14. 14.Which of these is good for training a model? (a) many varied examples (b) testing on training data (c) labels added at random (d) very few examples
15. 15.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
16. 16.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
18. 18.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) correct labels (d) wrong labels
19. 19.🏷️ 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
20. 20.True or false: “very few examples” is good for training a model. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) many varied examples (d) correct labels
22. 22.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
23. 23.🏷️ 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
24. 24.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) photos in many lights (d) many varied examples
25. 25.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
27. 27.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) only one kind of example (d) labels added at random
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
30. 30.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
31. 31.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
32. 32.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
33. 33.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
34. 34.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) wrong labels (d) many varied examples
36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
37. 37.True or false: “new data for testing” is bad for training a model. (a) True (b) False
38. 38.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
39. 39.Which of these is good for training a model? (a) only one kind of example (b) photos in many lights (c) copies of one photo (d) blurry, unclear photos
40. 40.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) clear, sharp examples (d) examples of every type

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