Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 285 · 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.True or false: “many varied examples” is bad for training a model. (a) False (b) True
2. 2.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
3. 3.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
7. 7.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
8. 8.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
9. 9.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) correct labels (d) wrong labels
10. 10.🏷️ 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
11. 11.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
12. 12.True or false: “checking labels twice” is good for training a model. (a) True (b) False
13. 13.True or false: “only one kind of example” is good for training a model. (a) False (b) True
14. 14.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
16. 16.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
17. 17.🔍 Which is the odd one out? (a) very few examples (b) copies of one photo (c) new data for testing (d) wrong labels
18. 18.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
19. 19.🏷️ 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
20. 20.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) labels added at random (d) examples of every type
21. 21.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
22. 22.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
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.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
26. 26.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
27. 27.🔍 Which is the odd one out? (a) testing on training data (b) correct labels (c) blurry, unclear photos (d) very few examples
28. 28.True or false: “many varied examples” is good for training a model. (a) False (b) True
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
30. 30.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
31. 31.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) blurry, unclear photos (d) new data for testing
32. 32.🏷️ 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
33. 33.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) checking labels twice (d) very few examples
34. 34.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
35. 35.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) learn from data (d) clean screens
36. 36.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) copies of one photo (d) clear, sharp examples
37. 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
39. 39.True or false: “photos in many lights” is good for training a model. (a) True (b) False
40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) new data for testing (d) very few examples

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