Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 227 · 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) testing on training data (b) labels added at random (c) new data for testing (d) copies of one photo
2. 2.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
3. 3.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
4. 4.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
5. 5.True or false: “many varied examples” is good for training a model. (a) True (b) False
6. 6.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
7. 7.True or false: “labels added at random” is good for training a model. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) many varied examples (d) wrong labels
9. 9.🏷️ 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
10. 10.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
11. 11.True or false: “new data for testing” is bad for training a model. (a) False (b) True
12. 12.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) testing on training data (d) correct labels
13. 13.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
14. 14.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
17. 17.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
18. 18.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
19. 19.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) better at its task (d) forget everything
20. 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
21. 21.🏷️ 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
22. 22.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
23. 23.True or false: “correct labels” is bad for training a model. (a) False (b) True
24. 24.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
25. 25.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) copies of one photo (d) many varied examples
26. 26.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) only one kind of example (d) new data for testing
27. 27.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
28. 28.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) correct labels (d) only one kind of example
29. 29.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) testing on training data (d) examples of every type
31. 31.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) checking labels twice (d) correct labels
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
33. 33.Which of these is good for training a model? (a) examples of every type (b) testing on training data (c) only one kind of example (d) very few examples
34. 34.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
35. 35.True or false: “copies of one photo” is good for training a model. (a) True (b) False
36. 36.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) photos in many lights (d) wrong labels
37. 37.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
38. 38.True or false: “many varied examples” is bad for training a model. (a) False (b) True
39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
40. 40.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) wrong labels (d) new data for testing

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