Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 78 · 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) blurry, unclear photos (b) new data for testing (c) wrong labels (d) very few examples
2. 2.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
3. 3.True or false: “copies of one photo” is good for training a model. (a) False (b) True
4. 4.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
6. 6.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) many varied examples (d) wrong labels
7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) checking labels twice (d) examples of every type
10. 10.Which of these is good for training a model? (a) photos in many lights (b) wrong labels (c) only one kind of example (d) testing on training data
11. 11.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
12. 12.Which of these is good for training a model? (a) many varied examples (b) wrong labels (c) copies of one photo (d) blurry, unclear photos
13. 13.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) labels added at random (d) new data for testing
14. 14.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
15. 15.True or false: “labels added at random” is good for training a model. (a) False (b) True
16. 16.True or false: “new data for testing” is good for training a model. (a) True (b) False
17. 17.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
18. 18.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
20. 20.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
21. 21.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) blurry, unclear photos (d) very few examples
22. 22.🏷️ 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
23. 23.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) examples of every type (d) only one kind of example
24. 24.Which of these is good for training a model? (a) correct labels (b) testing on training data (c) wrong labels (d) labels added at random
25. 25.True or false: “only one kind of example” is good for training a model. (a) False (b) True
26. 26.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
27. 27.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
28. 28.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
29. 29.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
30. 30.Which of these is bad for training a model? (a) photos in many lights (b) clear, sharp examples (c) very few examples (d) correct labels
31. 31.🐶 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) many labelled photos (d) a song about dogs
32. 32.🔍 Which is the odd one out? (a) testing on training data (b) very few examples (c) photos in many lights (d) wrong labels
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: “correct labels” is good for training a model. (a) True (b) False
35. 35.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
36. 36.Which of these is bad for training a model? (a) checking labels twice (b) wrong labels (c) clear, sharp examples (d) correct labels
37. 37.🏷️ 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
38. 38.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
39. 39.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) only one kind of example (d) labels added at random
40. 40.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training

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