Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 441 · 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: correct labels? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
3. 3.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) very few examples (d) many varied examples
5. 5.True or false: “new data for testing” is bad for training a model. (a) False (b) True
6. 6.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
7. 7.🏷️ 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
8. 8.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) checking labels twice (d) labels added at random
9. 9.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
10. 10.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
11. 11.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) photos in many lights (d) only one kind of example
12. 12.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) correct labels (b) testing on training data (c) only one kind of example (d) blurry, unclear photos
14. 14.True or false: “correct labels” is bad for training a model. (a) False (b) True
15. 15.🏷️ 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) not spam (b) spam
16. 16.Which of these is good for training a model? (a) copies of one photo (b) testing on training data (c) new data for testing (d) only one kind of example
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.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
19. 19.Which of these is good for training a model? (a) photos in many lights (b) blurry, unclear photos (c) only one kind of example (d) wrong labels
20. 20.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
21. 21.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
22. 22.Which of these is good for training a model? (a) many varied examples (b) labels added at random (c) only one kind of example (d) wrong labels
23. 23.Which of these is good for training a model? (a) testing on training data (b) clear, sharp examples (c) very few examples (d) labels added at random
24. 24.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) testing on training data (d) labels added at random
25. 25.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
27. 27.🐶 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
28. 28.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
29. 29.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
30. 30.Which of these is bad for training a model? (a) wrong labels (b) photos in many lights (c) clear, sharp examples (d) correct labels
31. 31.Which of these is good for training a model? (a) very few examples (b) examples of every type (c) only one kind of example (d) copies of one photo
32. 32.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
33. 33.🏷️ 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
34. 34.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
35. 35.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) clear, sharp examples (d) only one kind of example
36. 36.True or false: “correct labels” is good for training a model. (a) False (b) True
37. 37.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
38. 38.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
39. 39.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) blurry, unclear photos (d) checking labels twice
40. 40.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) slower to switch on (d) better at its task

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