Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 100 · 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: “correct labels” is bad for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) photos in many lights (b) blurry, unclear photos (c) clear, sharp examples (d) examples of every type
3. 3.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
4. 4.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
5. 5.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
6. 6.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) very few examples (d) photos in many lights
7. 7.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) very few examples (d) only one kind of example
8. 8.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
9. 9.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
10. 10.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
11. 11.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
12. 12.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
13. 13.True or false: “checking labels twice” is good for training a model. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) wrong labels (d) blurry, unclear photos
15. 15.True or false: “examples of every type” is good for training a model. (a) False (b) True
16. 16.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
18. 18.🏷️ 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
19. 19.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
20. 20.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) charge faster (d) clean screens
21. 21.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) new data for testing (d) testing on training data
22. 22.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
23. 23.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) examples of every type (d) copies of one photo
24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
25. 25.True or false: “examples of every type” is bad for training a model. (a) True (b) False
26. 26.🏷️ 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
27. 27.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) only one kind of example (d) very few examples
28. 28.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) correct labels (d) checking labels twice
29. 29.🏷️ 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
30. 30.Which of these is bad for training a model? (a) labels added at random (b) many varied examples (c) correct labels (d) examples of every type
31. 31.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
32. 32.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) clear, sharp examples (d) only one kind of example
33. 33.📚 Good or bad for training a model: wrong labels? (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? “Last chance! Free gift card inside” (a) not spam (b) spam
35. 35.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
37. 37.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
38. 38.🏷️ 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
39. 39.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
40. 40.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training

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