Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 451 · 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: “wrong labels” is good for training a model. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) testing on training data (d) new data for testing
3. 3.Which of these is bad for training a model? (a) very few examples (b) correct labels (c) photos in many lights (d) clear, sharp examples
4. 4.🏷️ 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
5. 5.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
6. 6.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) photos in many lights (d) labels added at random
7. 7.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
8. 8.📚 Usually, more good examples make a model… (a) better at its task (b) change colour (c) forget everything (d) slower to switch on
9. 9.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
10. 10.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) the font size (d) a sticker on a laptop
11. 11.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
12. 12.Which of these is bad for training a model? (a) labels added at random (b) checking labels twice (c) new data for testing (d) examples of every type
13. 13.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) photos in many lights (d) wrong labels
14. 14.Which of these is good for training a model? (a) checking labels twice (b) wrong labels (c) copies of one photo (d) testing on training data
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
16. 16.🏷️ 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
17. 17.🏷️ 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
18. 18.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
19. 19.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) blurry, unclear photos (d) wrong labels
20. 20.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
21. 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
22. 22.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
23. 23.Which of these is bad for training a model? (a) copies of one photo (b) new data for testing (c) many varied examples (d) clear, sharp examples
24. 24.True or false: “testing on training data” is good for training a model. (a) False (b) True
25. 25.True or false: “copies of one photo” is good for training a model. (a) False (b) True
26. 26.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
27. 27.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
29. 29.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) new data for testing (b) checking labels twice (c) copies of one photo (d) correct labels
31. 31.🏷️ 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
32. 32.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) wrong labels (d) labels added at random
33. 33.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) blurry, unclear photos (d) labels added at random
34. 34.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
36. 36.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
38. 38.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
39. 39.Which of these is bad for training a model? (a) many varied examples (b) correct labels (c) photos in many lights (d) blurry, unclear photos
40. 40.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training

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