Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 148 · 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 is the odd one out? (a) very few examples (b) labels added at random (c) only one kind of example (d) examples of every type
2. 2.True or false: “very few examples” is good for training a model. (a) True (b) False
3. 3.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the price (d) the font size
4. 4.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
5. 5.True or false: “copies of one photo” is good for training a model. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) photos in many lights (d) clear, sharp examples
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 “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
9. 9.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
10. 10.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
11. 11.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
12. 12.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
13. 13.Which of these is good for training a model? (a) new data for testing (b) wrong labels (c) blurry, unclear photos (d) testing on training data
14. 14.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) correct labels (d) testing on training data
15. 15.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) labels added at random (b) blurry, unclear photos (c) copies of one photo (d) checking labels twice
17. 17.True or false: “many varied examples” is bad for training a model. (a) True (b) False
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
19. 19.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not 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.🏷️ 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
22. 22.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
23. 23.🏷️ 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
24. 24.🔍 Which is the odd one out? (a) correct labels (b) blurry, unclear photos (c) new data for testing (d) examples of every type
25. 25.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) examples of every type (d) testing on training data
26. 26.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
27. 27.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) many varied examples (d) copies of one photo
28. 28.True or false: “correct labels” is bad for training a model. (a) True (b) False
29. 29.True or false: “many varied examples” is good for training a model. (a) False (b) True
30. 30.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
31. 31.True or false: “correct labels” is good for training a model. (a) True (b) False
32. 32.🏷️ 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
33. 33.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
34. 34.🏷️ 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
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 good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) testing on training data (d) only one kind of example
37. 37.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) many varied examples (d) wrong labels
38. 38.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) labels added at random (d) correct labels
39. 39.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
40. 40.True or false: “labels added at random” is good for training a model. (a) False (b) True

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