Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 320 · 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.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
2. 2.True or false: “new data for testing” is good for training a model. (a) True (b) False
3. 3.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
4. 4.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
5. 5.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
6. 6.🏷️ 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
7. 7.🏷️ 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
8. 8.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) clear, sharp examples (d) blurry, unclear photos
10. 10.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
11. 11.🏷️ 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
12. 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
13. 13.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) clear, sharp examples (d) wrong labels
14. 14.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
15. 15.🏷️ 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
16. 16.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will turn yellow (d) it will be perfect
17. 17.🏷️ 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
18. 18.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
19. 19.🐶 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) a song about dogs (d) one single photo
20. 20.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) examples of every type (d) only one kind of example
22. 22.Which of these is good for training a model? (a) only one kind of example (b) new data for testing (c) wrong labels (d) very few examples
23. 23.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
24. 24.True or false: “testing on training data” is bad for training a model. (a) False (b) True
25. 25.True or false: “very few examples” is bad for training a model. (a) False (b) True
26. 26.🏷️ 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
27. 27.Which of these is bad for training a model? (a) copies of one photo (b) clear, sharp examples (c) examples of every type (d) new data for testing
28. 28.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
29. 29.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) wrong labels (d) examples of every type
30. 30.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
31. 31.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
32. 32.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
33. 33.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
34. 34.True or false: “many varied examples” is good for training a model. (a) False (b) True
35. 35.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) checking labels twice (d) photos in many lights
36. 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
37. 37.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
38. 38.True or false: “labels added at random” is good for training a model. (a) False (b) True
39. 39.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
40. 40.True or false: “only one kind of example” is good for training a model. (a) True (b) False

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