Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 39 · 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 of these is bad for training a model? (a) only one kind of example (b) clear, sharp examples (c) examples of every type (d) many varied examples
2. 2.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
3. 3.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
4. 4.🧠 Machine learning is a way for computers to… (a) learn from data (b) print pages (c) clean screens (d) charge faster
5. 5.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) testing on training data (d) new data for testing
6. 6.🏷️ 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
7. 7.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
8. 8.🔍 Which is the odd one out? (a) correct labels (b) testing on training data (c) many varied examples (d) checking labels twice
9. 9.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
10. 10.Which of these is good for training a model? (a) checking labels twice (b) wrong labels (c) very few examples (d) copies of one photo
11. 11.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
12. 12.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task
13. 13.True or false: “correct labels” is bad for training a model. (a) False (b) True
14. 14.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
16. 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
17. 17.🏷️ 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
18. 18.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) wrong labels (d) checking labels twice
19. 19.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) copies of one photo (d) testing on training data
21. 21.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
22. 22.🔍 Which is the odd one out? (a) only one kind of example (b) new data for testing (c) copies of one photo (d) wrong labels
23. 23.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
24. 24.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) examples of every type (b) very few examples (c) blurry, unclear photos (d) testing on training data
26. 26.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) many varied examples (d) checking labels twice
27. 27.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
29. 29.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
30. 30.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
31. 31.🐶 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) many labelled photos (d) one single photo
32. 32.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
33. 33.Which of these is bad for training a model? (a) photos in many lights (b) correct labels (c) many varied examples (d) blurry, unclear photos
34. 34.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) very few examples (d) new data for testing
35. 35.🏷️ 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
36. 36.Which of these is good for training a model? (a) correct labels (b) very few examples (c) copies of one photo (d) only one kind of example
37. 37.Which of these is bad for training a model? (a) examples of every type (b) labels added at random (c) many varied examples (d) correct labels
38. 38.True or false: “correct labels” is good for training a model. (a) True (b) False
39. 39.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) copies of one photo (d) examples of every type
40. 40.Which of these is good for training a model? (a) labels added at random (b) clear, sharp examples (c) very few examples (d) only one kind of example

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