Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 57 · 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.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
2. 2.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) wrong labels (d) checking labels twice
3. 3.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
4. 4.Which of these is bad for training a model? (a) wrong labels (b) examples of every type (c) checking labels twice (d) many varied examples
5. 5.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
6. 6.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) True (b) False
7. 7.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
8. 8.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
9. 9.True or false: “new data for testing” is good for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
12. 12.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
13. 13.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
14. 14.Which of these is bad for training a model? (a) correct labels (b) examples of every type (c) copies of one photo (d) many varied examples
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
16. 16.🏷️ 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
17. 17.🏷️ 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
18. 18.🏷️ 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
19. 19.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
20. 20.True or false: “testing on training data” is good for training a model. (a) True (b) False
21. 21.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
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.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
24. 24.Which of these is good for training a model? (a) blurry, unclear photos (b) many varied examples (c) wrong labels (d) labels added at random
25. 25.🏷️ 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
26. 26.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
27. 27.Which of these is bad for training a model? (a) correct labels (b) labels added at random (c) many varied examples (d) photos in many lights
28. 28.🏷️ 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
29. 29.True or false: “only one kind of example” is good for training a model. (a) True (b) False
30. 30.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
31. 31.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
32. 32.True or false: “examples of every type” is bad for training a model. (a) False (b) True
33. 33.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) many varied examples (b) new data for testing (c) only one kind of example (d) photos in many lights
35. 35.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) copies of one photo (d) clear, sharp examples
36. 36.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
37. 37.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) checking labels twice (d) very few examples
38. 38.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) new data for testing (d) wrong labels
39. 39.🏷️ 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
40. 40.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True

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