Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 86 · 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) many varied examples (b) checking labels twice (c) labels added at random (d) clear, sharp examples
2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
3. 3.Which of these is bad for training a model? (a) many varied examples (b) testing on training data (c) checking labels twice (d) new data for testing
4. 4.🏷️ 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
5. 5.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
6. 6.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) testing on training data (d) wrong labels
7. 7.🏷️ 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
8. 8.🔍 Which is the odd one out? (a) blurry, unclear photos (b) checking labels twice (c) many varied examples (d) examples of every type
9. 9.🔍 Which is the odd one out? (a) photos in many lights (b) wrong labels (c) clear, sharp examples (d) new data for testing
10. 10.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) examples of every type (d) photos in many lights
11. 11.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
12. 12.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
13. 13.True or false: “wrong labels” is good for training a model. (a) True (b) False
14. 14.True or false: “examples of every type” is bad for training a model. (a) True (b) False
15. 15.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
16. 16.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
17. 17.🏷️ 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
18. 18.🐶 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) one single photo (d) many labelled photos
19. 19.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
20. 20.True or false: “many varied examples” is bad for training a model. (a) False (b) True
21. 21.🏷️ 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
22. 22.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
23. 23.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) very few examples (d) testing on training data
24. 24.🔍 Which is the odd one out? (a) examples of every type (b) only one kind of example (c) new data for testing (d) checking labels twice
25. 25.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
26. 26.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
27. 27.🏷️ 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
28. 28.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) correct labels (d) copies of one photo
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
30. 30.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) very few examples (b) checking labels twice (c) labels added at random (d) blurry, unclear photos
32. 32.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
33. 33.🏷️ 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
34. 34.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
35. 35.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
36. 36.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) only one kind of example (d) new data for testing
37. 37.🏷️ 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
38. 38.True or false: “only one kind of example” is good for training a model. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) many varied examples (d) copies of one photo
40. 40.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training

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