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AI for students lesson 23: Design a tiny AI project · Set 133 · 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.📦 Tara collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  2. 2.❌ Aarav’s recycling sorter was tested on 44 new waste photos and got 35 right. How many did it get wrong?
  3. 3.📦 Ishaan collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  4. 4.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  6. 6.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
  7. 7.📦 Arjun collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  8. 8.📦 Meera collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  9. 9.🎯 Aarav’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  11. 11.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
  12. 12.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
  13. 13.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
  14. 14.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
  15. 15.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
  16. 16.📦 Aarav collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  17. 17.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
  18. 18.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  19. 19.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  20. 20.🧪 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
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
  22. 22.📋 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
  23. 23.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  24. 24.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
  25. 25.❌ Kabir’s bird-song app was tested on 43 new bird songs and got 40 right. How many did it get wrong?
  26. 26.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
  27. 27.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  28. 28.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  29. 29.❌ Tara’s leaf identifier was tested on 48 new leaf photos and got 45 right. How many did it get wrong?
  30. 30.📋 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
  31. 31.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  32. 32.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  33. 33.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  34. 34.🎯 Tara’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  36. 36.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
  37. 37.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
  38. 38.❌ Arjun’s handwriting reader was tested on 37 new handwritten letters and got 30 right. How many did it get wrong?
  39. 39.📋 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
  40. 40.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label

Answer key

  1. 144
  2. 9
  3. 136
  4. train the model
  5. more labelled examples
  6. 100
  7. 128
  8. 72
  9. 56
  10. to see if it learned
  11. pick a question to solve
  12. 35
  13. collect fruit photos
  14. correct ÷ total × 100
  15. 10
  16. 40
  17. collect fruit photos
  18. test on new photos
  19. calculate percent right
  20. paper and examples
  21. set aside test photos
  22. tag each photo by type
  23. train the model
  24. choose what to sort
  25. 3
  26. pick a question to solve
  27. 60
  28. 48
  29. 3
  30. split train and test
  31. label each example
  32. train the model
  33. let it learn patterns
  34. 24
  35. correct bad labels
  36. 75
  37. 80
  38. 7
  39. test on new photos
  40. recheck every label

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