Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 424 · 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: “very few examples” is good for training a model. (a) False (b) True
2. 2.True or false: “only one kind of example” is good for training a model. (a) False (b) True
3. 3.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
4. 4.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) checking labels twice (d) many varied examples
5. 5.True or false: “many varied examples” is bad for training a model. (a) False (b) True
6. 6.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) clear, sharp examples (d) testing on training data
8. 8.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) testing on training data (d) new data for testing
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the price (d) the right answer tag
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
11. 11.🏷️ 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
12. 12.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
13. 13.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
14. 14.True or false: “labels added at random” is good for training a model. (a) True (b) False
15. 15.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
16. 16.🏷️ 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
17. 17.True or false: “labels added at random” is bad for training a model. (a) True (b) False
18. 18.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
19. 19.True or false: “very few examples” is bad for training a model. (a) False (b) True
20. 20.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) new data for testing (d) clear, sharp examples
21. 21.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) photos in many lights (d) new data for testing
22. 22.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
23. 23.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) blurry, unclear photos (d) examples of every type
24. 24.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) wrong labels (d) labels added at random
25. 25.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) checking labels twice (d) labels added at random
26. 26.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
27. 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
28. 28.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) many varied examples (d) testing on training data
29. 29.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
30. 30.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
31. 31.True or false: “correct labels” is good for training a model. (a) False (b) True
32. 32.Which of these is good for training a model? (a) testing on training data (b) examples of every type (c) wrong labels (d) labels added at random
33. 33.🏷️ 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
34. 34.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
35. 35.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) only one kind of example (d) many varied examples
36. 36.🏷️ 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
37. 37.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
38. 38.Which of these is bad for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) many varied examples (d) checking labels twice
39. 39.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
40. 40.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect

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