Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 569 · 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) testing on training data (b) only one kind of example (c) checking labels twice (d) labels added at random
2. 2.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
3. 3.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) many varied examples (d) examples of every type
4. 4.True or false: “correct labels” is bad for training a model. (a) False (b) True
5. 5.🏷️ 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
6. 6.🥭 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 turn yellow (d) it will shut down
7. 7.🏷️ 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
8. 8.🏷️ 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
9. 9.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
10. 10.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) new data for testing (d) labels added at random
11. 11.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
12. 12.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
13. 13.Which of these is bad for training a model? (a) checking labels twice (b) examples of every type (c) testing on training data (d) many varied examples
14. 14.True or false: “only one kind of example” is good for training a model. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) blurry, unclear photos (d) many varied examples
16. 16.True or false: “new data for testing” is bad for training a model. (a) True (b) False
17. 17.🔍 Which is the odd one out? (a) many varied examples (b) blurry, unclear photos (c) new data for testing (d) correct labels
18. 18.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
19. 19.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
20. 20.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) wrong labels (d) testing on training data
22. 22.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) examples of every type (d) testing on training data
23. 23.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
24. 24.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
25. 25.True or false: “labels added at random” is good for training a model. (a) True (b) False
26. 26.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
27. 27.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) wrong labels (d) clear, sharp examples
28. 28.🏷️ 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
29. 29.🔍 Which is the odd one out? (a) wrong labels (b) examples of every type (c) blurry, unclear photos (d) only one kind of example
30. 30.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
31. 31.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) very few examples (d) photos in many lights
32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) labels added at random (c) correct labels (d) clear, sharp examples
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) one single photo (d) a song about dogs
34. 34.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) examples of every type (d) photos in many lights
35. 35.Which of these is good for training a model? (a) checking labels twice (b) blurry, unclear photos (c) copies of one photo (d) wrong labels
36. 36.🔍 Which is the odd one out? (a) blurry, unclear photos (b) copies of one photo (c) very few examples (d) photos in many lights
37. 37.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) clear, sharp examples (d) examples of every type
38. 38.🏷️ 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
39. 39.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
40. 40.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training

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