Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 296 · 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: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
2. 2.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
3. 3.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
4. 4.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
5. 5.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) labels added at random (d) testing on training data
6. 6.🏷️ 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
7. 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
8. 8.🏷️ 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
9. 9.🏷️ 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
10. 10.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
11. 11.True or false: “correct labels” is bad for training a model. (a) True (b) False
12. 12.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
13. 13.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) checking labels twice (d) blurry, unclear photos
14. 14.True or false: “new data for testing” is bad for training a model. (a) True (b) False
15. 15.🏷️ 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
16. 16.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
17. 17.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
18. 18.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) wrong labels (d) labels added at random
19. 19.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
20. 20.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) correct labels (d) photos in many lights
21. 21.True or false: “new data for testing” is good for training a model. (a) True (b) False
22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
23. 23.True or false: “very few examples” is good for training a model. (a) False (b) True
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
25. 25.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) very few examples (d) testing on training data
26. 26.Which of these is bad for training a model? (a) new data for testing (b) copies of one photo (c) many varied examples (d) checking labels twice
27. 27.True or false: “examples of every type” is good for training a model. (a) True (b) False
28. 28.🐶 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
29. 29.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
30. 30.🏷️ 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
31. 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
32. 32.True or false: “copies of one photo” is good for training a model. (a) False (b) True
33. 33.🏷️ 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
34. 34.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
35. 35.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) checking labels twice (d) wrong labels
37. 37.True or false: “examples of every type” is bad for training a model. (a) True (b) False
38. 38.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) correct labels (d) many varied examples
39. 39.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
40. 40.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) wrong labels (d) clear, sharp examples

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