Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 364 · 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.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
2. 2.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
4. 4.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
5. 5.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) many varied examples (d) wrong labels
6. 6.🏷️ 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
7. 7.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
8. 8.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
9. 9.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) labels added at random (d) new data for testing
10. 10.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
11. 11.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
12. 12.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) wrong labels (d) correct labels
13. 13.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) True (b) False
14. 14.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
16. 16.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) wrong labels (d) new data for testing
17. 17.🏷️ 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
18. 18.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) examples of every type (d) copies of one photo
19. 19.Which of these is good for training a model? (a) very few examples (b) clear, sharp examples (c) labels added at random (d) testing on training data
20. 20.Which of these is bad for training a model? (a) photos in many lights (b) checking labels twice (c) copies of one photo (d) many varied examples
21. 21.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) many varied examples (d) new data for testing
22. 22.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
23. 23.🏷️ 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
24. 24.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
25. 25.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) new data for testing (d) very few examples
26. 26.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
27. 27.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) only one kind of example (d) many varied examples
29. 29.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
30. 30.🔍 Which is the odd one out? (a) checking labels twice (b) blurry, unclear photos (c) wrong labels (d) testing on training data
31. 31.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
33. 33.True or false: “correct labels” is good for training a model. (a) True (b) False
34. 34.🏷️ 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
35. 35.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
36. 36.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) photos in many lights (d) testing on training data
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: photos in many lights? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) many varied examples (d) copies of one photo
40. 40.True or false: “photos in many lights” is bad for training a model. (a) False (b) True

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