Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 267 · 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.🏷️ 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
2. 2.🏷️ 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
3. 3.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) testing on training data (d) examples of every type
4. 4.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
5. 5.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
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) blurry, unclear photos (c) correct labels (d) copies of one photo
9. 9.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) testing on training data (d) clear, sharp examples
10. 10.🏷️ 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
11. 11.True or false: “many varied examples” is good for training a model. (a) False (b) True
12. 12.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
15. 15.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
16. 16.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) checking labels twice (d) wrong labels
17. 17.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
18. 18.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) new data for testing (d) checking labels twice
19. 19.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
20. 20.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
21. 21.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
22. 22.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) photos in many lights (d) copies of one photo
23. 23.Which of these is bad for training a model? (a) checking labels twice (b) blurry, unclear photos (c) photos in many lights (d) new data for testing
24. 24.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) blurry, unclear photos (d) new data for testing
25. 25.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
26. 26.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) correct labels (d) only one kind of example
27. 27.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) very few examples (d) labels added at random
28. 28.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) photos in many lights (d) wrong labels
29. 29.True or false: “checking labels twice” is good for training a model. (a) False (b) True
30. 30.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
31. 31.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
32. 32.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
33. 33.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) labels added at random (d) checking labels twice
35. 35.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
36. 36.🏷️ 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
37. 37.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) checking labels twice (d) wrong labels
38. 38.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) many varied examples (d) new data for testing
39. 39.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) checking labels twice (d) correct labels

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