Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 448 · 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 “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
2. 2.🏷️ 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
3. 3.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
4. 4.🏷️ 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
5. 5.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) wrong labels (d) clear, sharp examples
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
7. 7.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
8. 8.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) photos in many lights (d) copies of one photo
9. 9.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
10. 10.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
11. 11.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
13. 13.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
14. 14.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
15. 15.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) many varied examples (d) blurry, unclear photos
16. 16.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) very few examples (d) correct labels
17. 17.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) new data for testing (d) copies of one photo
18. 18.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
19. 19.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) wrong labels (d) only one kind of example
21. 21.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
22. 22.🏷️ 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
23. 23.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
24. 24.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
25. 25.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) many varied examples (d) wrong labels
26. 26.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
27. 27.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
28. 28.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
29. 29.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
30. 30.📚 Good or bad for training a model: new data for testing? (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? “Happy birthday! See you at lunch” (a) not spam (b) spam
32. 32.Which of these is bad for training a model? (a) labels added at random (b) clear, sharp examples (c) many varied examples (d) new data for testing
33. 33.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) correct labels (d) testing on training data
34. 34.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
35. 35.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
36. 36.True or false: “wrong labels” is good for training a model. (a) False (b) True
37. 37.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
38. 38.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
39. 39.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) checking labels twice (d) wrong labels
40. 40.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) many varied examples (d) copies of one photo

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