Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 488 · 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: very few examples? (a) bad for training (b) good for training
2. 2.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
3. 3.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) the right answer tag (d) a sticker on a laptop
4. 4.🐶 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
5. 5.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) testing on training data (d) copies of one photo
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
8. 8.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) labels added at random (d) many varied examples
9. 9.True or false: “new data for testing” is bad for training a model. (a) True (b) False
10. 10.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) new data for testing (d) labels added at random
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
12. 12.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
13. 13.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) False (b) True
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
15. 15.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
16. 16.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
17. 17.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
18. 18.🏷️ 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
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
20. 20.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) checking labels twice (d) only one kind of example
21. 21.True or false: “many varied examples” is bad for training a model. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) correct labels (d) photos in many lights
23. 23.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
25. 25.Which of these is good for training a model? (a) copies of one photo (b) blurry, unclear photos (c) many varied examples (d) wrong labels
26. 26.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) blurry, unclear photos (d) correct labels
27. 27.True or false: “many varied examples” is good for training a model. (a) False (b) True
28. 28.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
30. 30.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
31. 31.True or false: “testing on training data” is good for training a model. (a) True (b) False
32. 32.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
33. 33.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
34. 34.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
35. 35.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
36. 36.Which of these is bad for training a model? (a) many varied examples (b) copies of one photo (c) examples of every type (d) clear, sharp examples
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.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) new data for testing (d) testing on training data
39. 39.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
40. 40.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) wrong labels (d) correct labels

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