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AI for students lesson 23: Design a tiny AI project · Set 289 · 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 handwriting reader models were tested on the same 50 handwritten letters. Model A got 48 right and Model B got 46 right. How many percentage points more accurate is Model A?
  2. 2.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 43 right and Model B got 30 right. How many percentage points more accurate is Model A?
  3. 3.📋 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
  4. 4.🎯 Aarav’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
  5. 5.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  6. 6.❌ Rohan’s handwriting reader was tested on 34 new handwritten letters and got 33 right. How many did it get wrong?
  7. 7.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  8. 8.📋 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
  9. 9.🎯 Arjun’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
  10. 10.❌ Ananya’s bird-song app was tested on 40 new bird songs and got 32 right. How many did it get wrong?
  11. 11.❌ Saanvi’s fruit sorter was tested on 32 new fruit photos and got 27 right. How many did it get wrong?
  12. 12.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
  13. 13.🎯 Rohan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
  14. 14.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
  16. 16.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
  17. 17.❌ Ananya’s handwriting reader was tested on 26 new handwritten letters and got 18 right. How many did it get wrong?
  18. 18.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
  19. 19.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
  20. 20.❌ Ananya’s spam spotter was tested on 31 new messages and got 24 right. How many did it get wrong?
  21. 21.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  22. 22.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 38 right. What is its accuracy in percent?
  23. 23.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  24. 24.❌ Nisha’s recycling sorter was tested on 34 new waste photos and got 30 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  26. 26.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
  27. 27.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
  28. 28.❌ Nisha’s spam spotter was tested on 24 new messages and got 20 right. How many did it get wrong?
  29. 29.🎯 Nisha’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
  30. 30.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 14 right. What is its accuracy in percent?
  31. 31.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
  32. 32.📦 Ananya collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  34. 34.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  35. 35.❌ Ananya’s spam spotter was tested on 35 new messages and got 30 right. How many did it get wrong?
  36. 36.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 19 right. What is its accuracy in percent?
  37. 37.🎯 Nisha’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
  38. 38.❌ Kabir’s recycling sorter was tested on 21 new waste photos and got 20 right. How many did it get wrong?
  39. 39.📦 Nisha collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort

Answer key

  1. 4
  2. 26
  3. work out the accuracy
  4. 68
  5. 4
  6. 1
  7. label each example
  8. calculate percent right
  9. 70
  10. 8
  11. 5
  12. 70
  13. 28
  14. 4
  15. recheck every label
  16. gather many examples
  17. 8
  18. 6
  19. collect fruit photos
  20. 7
  21. 4
  22. 76
  23. 60
  24. 4
  25. split train and test
  26. collect fruit photos
  27. train the model
  28. 4
  29. 50
  30. 56
  31. paper and examples
  32. 120
  33. split train and test
  34. test on new photos
  35. 5
  36. 76
  37. 100
  38. 1
  39. 128
  40. choose what to sort

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