Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 509 · 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.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
2. 2.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) wrong labels (d) photos in many lights
3. 3.🔍 Which is the odd one out? (a) wrong labels (b) blurry, unclear photos (c) checking labels twice (d) very few examples
4. 4.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
5. 5.True or false: “photos in many lights” is good for training a model. (a) False (b) True
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
8. 8.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) only one kind of example (d) testing on training data
10. 10.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
11. 11.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
12. 12.True or false: “wrong labels” is good for training a model. (a) True (b) False
13. 13.True or false: “testing on training data” is good for training a model. (a) True (b) False
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
15. 15.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) correct labels (d) labels added at random
16. 16.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
17. 17.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) examples of every type (d) testing on training data
18. 18.🔍 Which is the odd one out? (a) very few examples (b) clear, sharp examples (c) wrong labels (d) testing on training data
19. 19.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
20. 20.🏷️ 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
21. 21.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) clear, sharp examples (d) very few examples
22. 22.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) photos in many lights (d) blurry, unclear photos
25. 25.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) labels added at random (d) examples of every type
26. 26.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
27. 27.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
28. 28.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
29. 29.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
30. 30.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) new data for testing (d) photos in many lights
31. 31.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) photos in many lights (d) correct labels
33. 33.True or false: “examples of every type” is good for training a model. (a) False (b) True
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
35. 35.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
36. 36.🏷️ 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) spam (b) not spam
37. 37.True or false: “correct labels” is bad for training a model. (a) False (b) True
38. 38.True or false: “new data for testing” is good for training a model. (a) False (b) True
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
40. 40.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training

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