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AI for students lesson 23: Design a tiny AI project · Set 309 · 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.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
  2. 2.❌ Vihaan’s handwriting reader was tested on 23 new handwritten letters and got 21 right. How many did it get wrong?
  3. 3.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
  4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
  5. 5.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  7. 7.❌ Nisha’s leaf identifier was tested on 47 new leaf photos and got 42 right. How many did it get wrong?
  8. 8.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
  9. 9.📦 Kabir collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
  11. 11.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  12. 12.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
  13. 13.❌ Tara’s bird-song app was tested on 29 new bird songs and got 27 right. How many did it get wrong?
  14. 14.🎯 Ishaan’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
  15. 15.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  16. 16.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  17. 17.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
  18. 18.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  20. 20.❌ Ananya’s fruit sorter was tested on 46 new fruit photos and got 43 right. How many did it get wrong?
  21. 21.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
  22. 22.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
  23. 23.📋 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
  24. 24.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
  25. 25.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  26. 26.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  27. 27.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
  29. 29.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  31. 31.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  32. 32.📦 Vihaan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Diya’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
  34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Rohan’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
  36. 36.❌ Aarav’s recycling sorter was tested on 42 new waste photos and got 39 right. How many did it get wrong?
  37. 37.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  38. 38.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 50 right. What is its accuracy in percent?
  39. 39.📦 Ananya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label

Answer key

  1. 60
  2. 2
  3. 60
  4. more labelled examples
  5. 55
  6. to see if it learned
  7. 5
  8. split train and test
  9. 144
  10. paper and examples
  11. test on new photos
  12. 16
  13. 2
  14. 80
  15. 5
  16. correct ÷ total × 100
  17. 50
  18. 80
  19. set aside test photos
  20. 3
  21. 2
  22. pick a question to solve
  23. test on new photos
  24. 32
  25. 20
  26. 4
  27. 85
  28. choose what to sort
  29. 80
  30. calculate percent right
  31. 100
  32. 48
  33. 82
  34. 5
  35. 64
  36. 3
  37. 7
  38. 100
  39. 144
  40. pick a question to solve

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