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AI for students lesson 23: Design a tiny AI project · Set 446 · 40 questions
TalentJR

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

NameDateTime takenScore ___ / 40
  1. 1.❌ Aarav’s spam spotter was tested on 41 new messages and got 36 right. How many did it get wrong?
  2. 2.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  3. 3.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  4. 4.🎯 Meera’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  5. 5.🎯 Meera’s bird-song app is 90% accurate. If it is tested on 10 new bird songs, how many should it get right?
  6. 6.❌ Rohan’s leaf identifier was tested on 45 new leaf photos and got 42 right. How many did it get wrong?
  7. 7.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
  8. 8.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  9. 9.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 100 new bird songs, how many should it get right?
  10. 10.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  11. 11.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
  12. 12.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  13. 13.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  14. 14.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
  15. 15.🎯 Ananya’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
  16. 16.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  17. 17.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  18. 18.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
  19. 19.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
  20. 20.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
  21. 21.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  22. 22.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 80 new messages, how many should it get right?
  23. 23.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
  24. 24.📦 Nisha collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  25. 25.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
  26. 26.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  28. 28.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
  29. 29.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  30. 30.🎯 Kabir’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  31. 31.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
  32. 32.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
  33. 33.🎯 Ananya’s spam spotter was tested on 50 new messages and got 29 right. What is its accuracy in percent?
  34. 34.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  36. 36.❌ Rohan’s bird-song app was tested on 29 new bird songs and got 22 right. How many did it get wrong?
  37. 37.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  38. 38.❌ Kabir’s fruit sorter was tested on 44 new fruit photos and got 38 right. How many did it get wrong?
  39. 39.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
  40. 40.📦 Aarav collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 5
  2. 5
  3. pick a question to solve
  4. 60
  5. 9
  6. 3
  7. 100
  8. collect fruit photos
  9. 60
  10. correct ÷ total × 100
  11. 64
  12. 30
  13. 10
  14. choose what to sort
  15. 80
  16. pick a question to solve
  17. test on new photos
  18. paper and examples
  19. label each example
  20. gather many examples
  21. let it learn patterns
  22. 40
  23. set aside test photos
  24. 64
  25. gather many examples
  26. 58
  27. set aside test photos
  28. label each example
  29. 5
  30. 60
  31. more labelled examples
  32. 65
  33. 58
  34. 42
  35. collect fruit photos
  36. 7
  37. split train and test
  38. 6
  39. collect fruit photos
  40. 72

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