Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 332 · 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.Which of these is bad for training a model? (a) labels added at random (b) many varied examples (c) clear, sharp examples (d) checking labels twice
2. 2.Which of these is bad for training a model? (a) examples of every type (b) very few examples (c) many varied examples (d) correct labels
3. 3.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) photos in many lights (d) blurry, unclear photos
4. 4.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
6. 6.True or false: “testing on training data” is good for training a model. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) photos in many lights (d) copies of one photo
8. 8.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
9. 9.🔍 Which is the odd one out? (a) clear, sharp examples (b) examples of every type (c) wrong labels (d) correct labels
10. 10.🏷️ 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
11. 11.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
12. 12.🏷️ 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
13. 13.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) only one kind of example (d) correct labels
14. 14.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
15. 15.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
16. 16.True or false: “examples of every type” is bad for training a model. (a) False (b) True
17. 17.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
18. 18.True or false: “examples of every type” is good for training a model. (a) True (b) False
19. 19.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
20. 20.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) many varied examples (d) only one kind of example
21. 21.🏷️ 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
22. 22.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
23. 23.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) wrong labels (d) clear, sharp examples
24. 24.True or false: “many varied examples” is good for training a model. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) labels added at random (b) correct labels (c) new data for testing (d) many varied examples
26. 26.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
27. 27.True or false: “correct labels” is good for training a model. (a) False (b) True
28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
29. 29.🥭 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
30. 30.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) photos in many lights
31. 31.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
32. 32.True or false: “correct labels” is bad for training a model. (a) True (b) False
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) photos in many lights (b) very few examples (c) examples of every type (d) many varied examples
35. 35.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) slower to switch on (d) forget everything
36. 36.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) blurry, unclear photos (d) examples of every type
37. 37.True or false: “testing on training data” is bad for training a model. (a) True (b) False
38. 38.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) checking labels twice (d) copies of one photo
39. 39.True or false: “very few examples” is bad for training a model. (a) False (b) True
40. 40.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True

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