Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 325 · 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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
3. 3.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
4. 4.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
5. 5.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) examples of every type (d) only one kind of example
6. 6.True or false: “examples of every type” is good for training a model. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) labels added at random (b) many varied examples (c) copies of one photo (d) testing on training data
8. 8.True or false: “many varied examples” is good for training a model. (a) True (b) False
9. 9.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) blurry, unclear photos (d) wrong labels
10. 10.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
12. 12.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
13. 13.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
16. 16.True or false: “correct labels” is bad for training a model. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) testing on training data (d) new data for testing
18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
19. 19.Which of these is good for training a model? (a) new data for testing (b) copies of one photo (c) only one kind of example (d) wrong labels
20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
21. 21.Which of these is bad for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) new data for testing (d) photos in many lights
22. 22.True or false: “very few examples” is bad for training a model. (a) True (b) False
23. 23.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
24. 24.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) testing on training data (d) photos in many lights
25. 25.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
26. 26.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
27. 27.🔍 Which is the odd one out? (a) correct labels (b) only one kind of example (c) checking labels twice (d) clear, sharp examples
28. 28.🏷️ 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
29. 29.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
30. 30.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
31. 31.🏷️ 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) not spam (b) spam
32. 32.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) very few examples (d) clear, sharp examples
33. 33.🏷️ 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
34. 34.🏷️ 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
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
37. 37.True or false: “testing on training data” is good for training a model. (a) True (b) False
38. 38.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) labels added at random (d) new data for testing
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) very few examples (d) clear, sharp examples
40. 40.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training

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