Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 187 · 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: many varied examples? (a) good for training (b) bad for training
2. 2.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
3. 3.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) new data for testing (d) clear, sharp examples
4. 4.🏷️ 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
5. 5.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
7. 7.🏷️ 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
8. 8.Which of these is bad for training a model? (a) many varied examples (b) copies of one photo (c) clear, sharp examples (d) correct labels
9. 9.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
10. 10.Which of these is bad for training a model? (a) correct labels (b) blurry, unclear photos (c) checking labels twice (d) clear, sharp examples
11. 11.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
12. 12.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
13. 13.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) very few examples (d) many varied examples
14. 14.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
15. 15.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) labels added at random (d) new data for testing
16. 16.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) checking labels twice (d) labels added at random
17. 17.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
18. 18.🏷️ 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
19. 19.🔍 Which is the odd one out? (a) many varied examples (b) new data for testing (c) wrong labels (d) checking labels twice
20. 20.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
21. 21.True or false: “very few examples” is good for training a model. (a) False (b) True
22. 22.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
23. 23.🏷️ 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
24. 24.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
27. 27.True or false: “very few examples” is bad for training a model. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) testing on training data (d) new data for testing
29. 29.🏷️ 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
30. 30.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
31. 31.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
32. 32.True or false: “correct labels” is good for training a model. (a) True (b) False
33. 33.🐶 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
34. 34.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) new data for testing (b) correct labels (c) blurry, unclear photos (d) checking labels twice
36. 36.True or false: “wrong labels” is good for training a model. (a) True (b) False
37. 37.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
38. 38.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
39. 39.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
40. 40.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) copies of one photo (d) photos in many lights

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