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AI for students lesson 23: Design a tiny AI project · Set 733 · 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.🎯 Vihaan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  3. 3.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  4. 4.🎯 Saanvi’s bird-song app was tested on 50 new bird songs and got 43 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
  6. 6.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  7. 7.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  8. 8.🎯 Ananya’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  9. 9.🎯 Ananya’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
  11. 11.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
  12. 12.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
  13. 13.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 35 right. How many percentage points more accurate is Model A?
  14. 14.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
  15. 15.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  16. 16.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
  17. 17.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  18. 18.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  19. 19.📦 Ishaan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  20. 20.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  22. 22.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  23. 23.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
  26. 26.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
  29. 29.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
  30. 30.❌ Nisha’s fruit sorter was tested on 14 new fruit photos and got 12 right. How many did it get wrong?
  31. 31.🎯 Ananya’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
  32. 32.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 47 right. What is its accuracy in percent?
  33. 33.❌ Nisha’s handwriting reader was tested on 43 new handwritten letters and got 41 right. How many did it get wrong?
  34. 34.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  35. 35.❌ Nisha’s recycling sorter was tested on 26 new waste photos and got 21 right. How many did it get wrong?
  36. 36.📦 Tara collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
  39. 39.🎯 Saanvi’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
  40. 40.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?

Answer key

  1. 50
  2. more labelled examples
  3. correct ÷ total × 100
  4. 86
  5. tag each photo by type
  6. 32
  7. 100
  8. 75
  9. 56
  10. collect fruit photos
  11. 70
  12. 70
  13. 8
  14. paper and examples
  15. split train and test
  16. 8
  17. test on new photos
  18. 54
  19. 160
  20. 48
  21. gather many examples
  22. 54
  23. 70
  24. calculate percent right
  25. to see if it learned
  26. recheck every label
  27. work out the accuracy
  28. 10
  29. 65
  30. 2
  31. 90
  32. 94
  33. 2
  34. 15
  35. 5
  36. 136
  37. label each example
  38. label each example
  39. 64
  40. 63

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