Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 360 · 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 good for training a model? (a) only one kind of example (b) examples of every type (c) wrong labels (d) testing on training data
2. 2.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
3. 3.True or false: “photos in many lights” is good for training a model. (a) True (b) False
4. 4.Which of these is good for training a model? (a) testing on training data (b) clear, sharp examples (c) labels added at random (d) very few examples
5. 5.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) very few examples (d) clear, sharp examples
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it will shut down (d) it may get it wrong
7. 7.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
8. 8.🏷️ 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
9. 9.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
10. 10.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) copies of one photo (d) new data for testing
11. 11.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
12. 12.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
13. 13.🏷️ 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
14. 14.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
15. 15.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
16. 16.True or false: “testing on training data” is good for training a model. (a) False (b) True
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
18. 18.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
19. 19.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) very few examples (d) only one kind of example
20. 20.🏷️ 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
21. 21.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
22. 22.True or false: “wrong labels” is bad for training a model. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) clear, sharp examples (d) correct labels
24. 24.🏷️ 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
25. 25.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
26. 26.Which of these is good for training a model? (a) very few examples (b) copies of one photo (c) many varied examples (d) labels added at random
27. 27.🏷️ 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
28. 28.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
29. 29.🏷️ 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
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
31. 31.🔍 Which is the odd one out? (a) testing on training data (b) copies of one photo (c) very few examples (d) examples of every type
32. 32.True or false: “correct labels” is good for training a model. (a) True (b) False
33. 33.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) labels added at random (d) new data for testing
34. 34.🔍 Which is the odd one out? (a) blurry, unclear photos (b) very few examples (c) labels added at random (d) correct labels
35. 35.🏷️ 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
36. 36.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
37. 37.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
38. 38.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) checking labels twice (d) only one kind of example
40. 40.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True

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