Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 356 · 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 good for training a model? (a) very few examples (b) only one kind of example (c) correct labels (d) labels added at random
2. 2.Which of these is bad for training a model? (a) wrong labels (b) photos in many lights (c) checking labels twice (d) examples of every type
3. 3.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
4. 4.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
5. 5.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) new data for testing (d) very few examples
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
7. 7.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) photos in many lights (d) blurry, unclear photos
8. 8.True or false: “examples of every type” is good for training a model. (a) False (b) True
9. 9.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
10. 10.🏷️ 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
11. 11.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) photos in many lights (d) clear, sharp examples
12. 12.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) very few examples (d) checking labels twice
13. 13.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
14. 14.🏷️ 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
15. 15.🏷️ 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
16. 16.True or false: “only one kind of example” is good for training a model. (a) True (b) False
17. 17.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
18. 18.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) testing on training data (d) photos in many lights
19. 19.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
20. 20.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
21. 21.True or false: “labels added at random” is bad for training a model. (a) False (b) True
22. 22.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
23. 23.🏷️ 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
24. 24.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
25. 25.Which of these is bad for training a model? (a) labels added at random (b) checking labels twice (c) new data for testing (d) examples of every type
26. 26.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
27. 27.True or false: “wrong labels” is good for training a model. (a) False (b) True
28. 28.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) testing on training data (d) labels added at random
30. 30.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
31. 31.Which of these is good for training a model? (a) labels added at random (b) testing on training data (c) wrong labels (d) examples of every type
32. 32.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) new data for testing (d) blurry, unclear photos
33. 33.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
34. 34.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
35. 35.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
36. 36.🏷️ 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
37. 37.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
38. 38.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) examples of every type (d) wrong labels
40. 40.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a song about dogs (d) a list of rules only

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