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AI for students lesson 23: Design a tiny AI project · Set 865 · 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.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  2. 2.📦 Nisha collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  3. 3.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels
  4. 4.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  5. 5.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  6. 6.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
  7. 7.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
  8. 8.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
  9. 9.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
  10. 10.❌ Meera’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
  11. 11.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
  12. 12.📦 Vihaan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  13. 13.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  14. 14.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
  15. 15.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  16. 16.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  17. 17.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 16 right. What is its accuracy in percent?
  18. 18.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  20. 20.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
  21. 21.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  22. 22.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
  23. 23.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  25. 25.❌ Aarav’s recycling sorter was tested on 41 new waste photos and got 36 right. How many did it get wrong?
  26. 26.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
  27. 27.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
  28. 28.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
  29. 29.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 17 right. What is its accuracy in percent?
  30. 30.❌ Diya’s handwriting reader was tested on 22 new handwritten letters and got 16 right. How many did it get wrong?
  31. 31.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
  32. 32.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
  33. 33.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
  34. 34.📦 Aarav collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  36. 36.📦 Diya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  38. 38.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
  39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve

Answer key

  1. 10
  2. 40
  3. label each example
  4. 56
  5. 4
  6. 60
  7. recheck every label
  8. collect fruit photos
  9. correct ÷ total × 100
  10. 5
  11. 40
  12. 88
  13. test on new photos
  14. pick a question to solve
  15. test on new photos
  16. 56
  17. 80
  18. 80
  19. work out the accuracy
  20. collect fruit photos
  21. let it learn patterns
  22. 60
  23. 56
  24. more labelled examples
  25. 5
  26. split train and test
  27. choose what to sort
  28. paper and examples
  29. 85
  30. 6
  31. 12
  32. to see if it learned
  33. 60
  34. 96
  35. let it learn patterns
  36. 32
  37. tag each photo by type
  38. gather many examples
  39. 20
  40. pick a question to solve

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