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AI for students lesson 23: Design a tiny AI project · Set 531 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
  2. 2.📋 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
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
  4. 4.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 37 right. How many percentage points more accurate is Model A?
  5. 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  6. 6.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  7. 7.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  8. 8.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
  9. 9.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
  10. 10.📦 Nisha collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  11. 11.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
  12. 12.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
  13. 13.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  14. 14.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
  15. 15.❌ Kabir’s handwriting reader was tested on 25 new handwritten letters and got 16 right. How many did it get wrong?
  16. 16.📦 Ananya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  17. 17.❌ Kabir’s spam spotter was tested on 16 new messages and got 12 right. How many did it get wrong?
  18. 18.❌ Rohan’s bird-song app was tested on 31 new bird songs and got 27 right. How many did it get wrong?
  19. 19.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
  20. 20.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. What is its accuracy in percent?
  21. 21.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
  22. 22.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
  23. 23.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 18 right. What is its accuracy in percent?
  24. 24.📦 Rohan collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  25. 25.📦 Diya collected 70 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  28. 28.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
  29. 29.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 15 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  31. 31.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  32. 32.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
  33. 33.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
  34. 34.🎯 Vihaan’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
  35. 35.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  36. 36.❌ Diya’s leaf identifier was tested on 44 new leaf photos and got 41 right. How many did it get wrong?
  37. 37.🎯 Ananya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
  38. 38.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
  39. 39.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
  40. 40.📦 Tara collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. to see if it learned
  2. calculate percent right
  3. more labelled examples
  4. 18
  5. 10
  6. test on new photos
  7. collect fruit photos
  8. correct bad labels
  9. 45
  10. 104
  11. pick a question to solve
  12. 12
  13. tag each photo by type
  14. split train and test
  15. 9
  16. 64
  17. 4
  18. 4
  19. 90
  20. 75
  21. 50
  22. 100
  23. 90
  24. 160
  25. 56
  26. 100
  27. correct bad labels
  28. label each example
  29. 75
  30. test on new photos
  31. 90
  32. 70
  33. gather many examples
  34. 60
  35. 48
  36. 3
  37. 80
  38. 85
  39. paper and examples
  40. 144

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