Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 397 · 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.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
2. 2.Which of these is good for training a model? (a) many varied examples (b) very few examples (c) labels added at random (d) copies of one photo
3. 3.🔍 Which is the odd one out? (a) photos in many lights (b) new data for testing (c) many varied examples (d) wrong labels
4. 4.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
5. 5.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
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.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
8. 8.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) copies of one photo (d) many varied examples
9. 9.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) examples of every type (d) wrong labels
10. 10.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
11. 11.🏷️ 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
12. 12.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) blurry, unclear photos (d) correct labels
13. 13.True or false: “labels added at random” is good for training a model. (a) True (b) False
14. 14.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
15. 15.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
16. 16.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
17. 17.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
18. 18.True or false: “many varied examples” is good 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.🏷️ 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
21. 21.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
23. 23.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
24. 24.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
25. 25.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) examples of every type (d) only one kind of example
26. 26.🏷️ 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
27. 27.True or false: “wrong labels” is bad for training a model. (a) False (b) True
28. 28.Which of these is good for training a model? (a) new data for testing (b) very few examples (c) only one kind of example (d) wrong labels
29. 29.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
30. 30.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
31. 31.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: “labels added at random” is bad for training a model. (a) False (b) True
33. 33.Which of these is bad for training a model? (a) labels added at random (b) examples of every type (c) photos in many lights (d) new data for testing
34. 34.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
35. 35.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) blurry, unclear photos (d) correct labels
36. 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
37. 37.🏷️ 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
38. 38.🏷️ 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
39. 39.True or false: “copies of one photo” is good for training a model. (a) False (b) True
40. 40.🏷️ 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

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