Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 450 · 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: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
2. 2.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) wrong labels (d) correct labels
3. 3.🔍 Which is the odd one out? (a) correct labels (b) copies of one photo (c) new data for testing (d) photos in many lights
4. 4.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) very few examples (d) checking labels twice
5. 5.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
6. 6.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
7. 7.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
8. 8.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) examples of every type (d) testing on training data
9. 9.True or false: “only one kind of example” is good for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
11. 11.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
12. 12.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
13. 13.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
14. 14.True or false: “very few examples” is good for training a model. (a) False (b) True
15. 15.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
17. 17.True or false: “new data for testing” is bad for training a model. (a) False (b) True
18. 18.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
20. 20.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
21. 21.🥭 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
22. 22.🔍 Which is the odd one out? (a) only one kind of example (b) clear, sharp examples (c) copies of one photo (d) labels added at random
23. 23.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) wrong labels (d) many varied examples
24. 24.🏷️ 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
25. 25.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
26. 26.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) new data for testing (d) examples of every type
27. 27.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
28. 28.🏷️ 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
29. 29.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) examples of every type (d) many varied examples
30. 30.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
31. 31.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
32. 32.Which of these is bad for training a model? (a) correct labels (b) copies of one photo (c) new data for testing (d) clear, sharp examples
33. 33.Which of these is good for training a model? (a) wrong labels (b) testing on training data (c) only one kind of example (d) examples of every type
34. 34.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
35. 35.🏷️ 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
36. 36.True or false: “wrong labels” is good for training a model. (a) True (b) False
37. 37.Which of these is good for training a model? (a) blurry, unclear photos (b) very few examples (c) copies of one photo (d) photos in many lights
38. 38.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) copies of one photo (d) blurry, unclear photos
40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) new data for testing (d) wrong labels

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