Machine Learning for Kids Worksheet

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

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