Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 53 · 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 of these is bad for training a model? (a) checking labels twice (b) only one kind of example (c) examples of every type (d) new data for testing
2. 2.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
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 “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
5. 5.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) clear, sharp examples (d) labels added at random
6. 6.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) a list of rules only (d) one single photo
9. 9.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
10. 10.True or false: “checking labels twice” is good for training a model. (a) False (b) True
11. 11.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
12. 12.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) checking labels twice (d) very few examples
14. 14.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
15. 15.Which of these is bad for training a model? (a) wrong labels (b) new data for testing (c) photos in many lights (d) many varied examples
16. 16.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
17. 17.Which of these is bad for training a model? (a) checking labels twice (b) copies of one photo (c) correct labels (d) many varied examples
18. 18.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
19. 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
20. 20.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) clear, sharp examples (d) new data for testing
21. 21.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
22. 22.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
23. 23.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
24. 24.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
25. 25.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
26. 26.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
27. 27.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
28. 28.Which of these is good for training a model? (a) blurry, unclear photos (b) checking labels twice (c) very few examples (d) wrong labels
29. 29.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
31. 31.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
32. 32.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
33. 33.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
34. 34.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) labels added at random (b) correct labels (c) examples of every type (d) checking labels twice
36. 36.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
37. 37.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) many varied examples (d) examples of every type
38. 38.True or false: “new data for testing” is good for training a model. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) very few examples (d) testing on training data
40. 40.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) wrong labels (d) new data for testing

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