Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 75 · 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: wrong labels? (a) bad for training (b) good for training
2. 2.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
3. 3.Which of these is bad for training a model? (a) labels added at random (b) many varied examples (c) clear, sharp examples (d) correct labels
4. 4.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
5. 5.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) examples of every type (d) labels added at random
6. 6.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) many varied examples (d) testing on training data
8. 8.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
9. 9.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
11. 11.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
12. 12.🏷️ 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
13. 13.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) testing on training data (d) clear, sharp examples
14. 14.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
15. 15.True or false: “photos in many lights” is good for training a model. (a) True (b) False
16. 16.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) very few examples (d) checking labels twice
17. 17.🏷️ 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
18. 18.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) new data for testing (b) very few examples (c) clear, sharp examples (d) many varied examples
20. 20.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) wrong labels (d) very few examples
21. 21.🥭 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 may get it wrong (d) it will shut down
22. 22.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
25. 25.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) blurry, unclear photos (d) checking labels twice
26. 26.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
27. 27.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) wrong labels (d) testing on training data
29. 29.🏷️ 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
30. 30.🏷️ 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
31. 31.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
34. 34.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) examples of every type (d) clear, sharp examples
35. 35.🔍 Which is the odd one out? (a) testing on training data (b) blurry, unclear photos (c) examples of every type (d) copies of one photo
36. 36.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
38. 38.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) photos in many lights (d) very few examples
39. 39.Which of these is good for training a model? (a) many varied examples (b) copies of one photo (c) wrong labels (d) testing on training data
40. 40.True or false: “copies of one photo” is bad for training a model. (a) True (b) False

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