Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 373 · 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.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
2. 2.Which of these is bad for training a model? (a) copies of one photo (b) checking labels twice (c) photos in many lights (d) many varied examples
3. 3.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
4. 4.🏷️ 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
5. 5.🏷️ 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
6. 6.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) very few examples (d) examples of every type
7. 7.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
8. 8.Which of these is good for training a model? (a) testing on training data (b) wrong labels (c) blurry, unclear photos (d) examples of every type
9. 9.🔍 Which is the odd one out? (a) checking labels twice (b) only one kind of example (c) very few examples (d) testing on training data
10. 10.True or false: “many varied examples” is bad for training a model. (a) True (b) False
11. 11.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
12. 12.Which of these is good for training a model? (a) new data for testing (b) only one kind of example (c) testing on training data (d) very few examples
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
14. 14.True or false: “copies of one photo” is good for training a model. (a) False (b) True
15. 15.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
16. 16.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) blurry, unclear photos (d) photos in many lights
17. 17.Which of these is bad for training a model? (a) labels added at random (b) new data for testing (c) many varied examples (d) checking labels twice
18. 18.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
19. 19.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) many varied examples (d) only one kind of example
20. 20.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
21. 21.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) wrong labels (d) very few examples
22. 22.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
23. 23.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
24. 24.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will shut down (c) it will be perfect (d) it will turn yellow
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
26. 26.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
27. 27.Which of these is bad for training a model? (a) very few examples (b) checking labels twice (c) examples of every type (d) correct labels
28. 28.Which of these is bad for training a model? (a) only one kind of example (b) correct labels (c) checking labels twice (d) examples of every type
29. 29.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
30. 30.🏷️ 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) not spam (b) spam
31. 31.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) correct labels (d) wrong labels
32. 32.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
33. 33.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) clear, sharp examples (d) new data for testing
34. 34.True or false: “new data for testing” is good for training a model. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) labels added at random (d) blurry, unclear photos
36. 36.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
37. 37.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
38. 38.True or false: “correct labels” is good for training a model. (a) False (b) True
39. 39.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True

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