Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 274 · 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.🏷️ 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
2. 2.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
4. 4.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
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) spam (b) not spam
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
7. 7.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) checking labels twice (d) labels added at random
8. 8.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
9. 9.True or false: “wrong labels” is good for training a model. (a) False (b) True
10. 10.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) clear, sharp examples (d) blurry, unclear photos
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.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) clear, sharp examples (d) photos in many lights
13. 13.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
14. 14.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
15. 15.🏷️ 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
16. 16.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) examples of every type (c) many varied examples (d) labels added at random
18. 18.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) wrong labels (d) correct labels
19. 19.True or false: “correct labels” is good for training a model. (a) False (b) True
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
21. 21.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) new data for testing (d) testing on training data
23. 23.True or false: “only one kind of example” is good for training a model. (a) True (b) False
24. 24.True or false: “testing on training data” is good for training a model. (a) True (b) False
25. 25.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
26. 26.Which of these is bad for training a model? (a) checking labels twice (b) blurry, unclear photos (c) new data for testing (d) photos in many lights
27. 27.Which of these is good for training a model? (a) wrong labels (b) new data for testing (c) copies of one photo (d) very few examples
28. 28.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) clear, sharp examples (d) many varied examples
29. 29.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
30. 30.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) examples of every type (d) copies of one photo
31. 31.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) testing on training data
32. 32.True or false: “correct labels” is bad for training a model. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) photos in many lights (d) very few examples
34. 34.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) very few examples (d) correct labels
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
36. 36.True or false: “checking labels twice” is good for training a model. (a) False (b) True
37. 37.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
38. 38.🏷️ 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
39. 39.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
40. 40.🏷️ 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

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