Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 243 · 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.True or false: “correct labels” is bad for training a model. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) examples of every type (b) checking labels twice (c) photos in many lights (d) testing on training data
3. 3.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the price (c) a sticker on a laptop (d) the font size
4. 4.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
5. 5.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) examples of every type (d) labels added at random
6. 6.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
7. 7.🏷️ 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
8. 8.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) clear, sharp examples (d) testing on training data
9. 9.True or false: “clear, sharp examples” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
12. 12.Which of these is good for training a model? (a) testing on training data (b) blurry, unclear photos (c) very few examples (d) correct labels
13. 13.Which of these is good for training a model? (a) copies of one photo (b) many varied examples (c) very few examples (d) testing on training data
14. 14.🏷️ 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
15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
16. 16.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
17. 17.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) very few examples (b) blurry, unclear photos (c) many varied examples (d) wrong labels
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
20. 20.🔍 Which is the odd one out? (a) photos in many lights (b) checking labels twice (c) examples of every type (d) blurry, unclear photos
21. 21.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
22. 22.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
23. 23.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
24. 24.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
25. 25.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
26. 26.True or false: the message “Share your OTP to get cashback” 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? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
29. 29.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
30. 30.🏷️ 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
31. 31.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
33. 33.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
34. 34.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
35. 35.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
36. 36.Which of these is good for training a model? (a) testing on training data (b) checking labels twice (c) blurry, unclear photos (d) wrong labels
37. 37.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
38. 38.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
39. 39.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
40. 40.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False

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