Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 237 · 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 is the odd one out? (a) wrong labels (b) copies of one photo (c) labels added at random (d) examples of every type
2. 2.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
3. 3.Which of these is good for training a model? (a) copies of one photo (b) labels added at random (c) wrong labels (d) correct labels
4. 4.🏷️ 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
5. 5.Which of these is bad for training a model? (a) examples of every type (b) labels added at random (c) new data for testing (d) correct labels
6. 6.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) many varied examples (d) blurry, unclear photos
7. 7.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
8. 8.🏷️ 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
9. 9.🥭 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 shut down (d) it will be perfect
10. 10.True or false: “very few examples” is bad for training a model. (a) False (b) True
11. 11.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) only one kind of example (d) photos in many lights
12. 12.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
13. 13.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
14. 14.Which of these is bad for training a model? (a) wrong labels (b) many varied examples (c) checking labels twice (d) clear, sharp examples
15. 15.True or false: “examples of every type” is bad for training a model. (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) clear, sharp examples (d) labels added at random
17. 17.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) clear, sharp examples (d) only one kind of example
18. 18.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
19. 19.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
20. 20.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) labels added at random (d) testing on training data
22. 22.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
23. 23.🏷️ 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
24. 24.🏷️ 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
25. 25.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
26. 26.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) many varied examples (d) labels added at random
27. 27.True or false: “wrong labels” is good for training a model. (a) True (b) False
28. 28.True or false: “very few examples” is good for training a model. (a) False (b) True
29. 29.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
30. 30.Which of these is good for training a model? (a) labels added at random (b) copies of one photo (c) very few examples (d) examples of every type
31. 31.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
32. 32.🏷️ 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
33. 33.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) very few examples (d) wrong labels
34. 34.🏷️ 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
35. 35.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
36. 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
37. 37.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
38. 38.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
39. 39.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
40. 40.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True

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