Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 155 · 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 “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
2. 2.Which of these is bad for training a model? (a) examples of every type (b) labels added at random (c) new data for testing (d) many varied examples
3. 3.True or false: “correct labels” is bad for training a model. (a) False (b) True
4. 4.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) many varied examples (d) copies of one photo
5. 5.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
6. 6.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
7. 7.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) checking labels twice (d) very few examples
8. 8.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) checking labels twice (d) blurry, unclear photos
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
11. 11.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
13. 13.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) new data for testing (d) examples of every type
14. 14.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
15. 15.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
16. 16.True or false: “wrong labels” is bad for training a model. (a) False (b) True
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
18. 18.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
19. 19.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
20. 20.True or false: “testing on training data” is good for training a model. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) blurry, unclear photos (b) testing on training data (c) copies of one photo (d) checking labels twice
22. 22.Which of these is good for training a model? (a) new data for testing (b) blurry, unclear photos (c) testing on training data (d) very few examples
23. 23.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
24. 24.True or false: “very few examples” is bad for training a model. (a) True (b) False
25. 25.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) labels added at random (d) clear, sharp examples
26. 26.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) photos in many lights (d) labels added at random
27. 27.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) clear, sharp examples
28. 28.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) correct labels (b) wrong labels (c) clear, sharp examples (d) photos in many lights
30. 30.Which of these is bad for training a model? (a) examples of every type (b) wrong labels (c) photos in many lights (d) checking labels twice
31. 31.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) photos in many lights (d) copies of one photo
32. 32.True or false: “new data for testing” is good for training a model. (a) False (b) True
33. 33.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
34. 34.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
35. 35.🏷️ 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
36. 36.Which of these is good for training a model? (a) examples of every type (b) wrong labels (c) very few examples (d) only one kind of example
37. 37.True or false: “testing on training data” is bad for training a model. (a) False (b) True
38. 38.True or false: “wrong labels” is good for training a model. (a) True (b) False
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) many labelled photos (d) one single photo
40. 40.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) blurry, unclear photos (d) many varied examples

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