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AI for students lesson 23: Design a tiny AI project · Set 474 · 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.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
  3. 3.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
  4. 4.❌ Tara’s bird-song app was tested on 49 new bird songs and got 40 right. How many did it get wrong?
  5. 5.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 26 right. How many percentage points more accurate is Model A?
  6. 6.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
  7. 7.🎯 Meera’s bird-song app is 50% accurate. If it is tested on 30 new bird songs, how many should it get right?
  8. 8.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
  9. 9.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
  10. 10.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  11. 11.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  13. 13.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  14. 14.❌ Saanvi’s recycling sorter was tested on 47 new waste photos and got 38 right. How many did it get wrong?
  15. 15.❌ Diya’s bird-song app was tested on 36 new bird songs and got 28 right. How many did it get wrong?
  16. 16.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  17. 17.📦 Ananya collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Rohan’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  19. 19.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
  22. 22.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
  23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
  24. 24.❌ Rohan’s spam spotter was tested on 44 new messages and got 41 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
  26. 26.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 34 right. How many percentage points more accurate is Model A?
  28. 28.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  29. 29.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 28 right. What is its accuracy in percent?
  30. 30.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
  31. 31.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  32. 32.📦 Ananya collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Aarav’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  34. 34.📦 Arjun collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 10 right. How many percentage points more accurate is Model A?
  37. 37.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
  39. 39.🎯 Aarav’s bird-song app was tested on 25 new bird songs and got 25 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples

Answer key

  1. 100
  2. set aside test photos
  3. paper and examples
  4. 9
  5. 34
  6. tag each photo by type
  7. 15
  8. gather many examples
  9. recheck every label
  10. 54
  11. 80
  12. try unseen examples
  13. try unseen examples
  14. 9
  15. 8
  16. 4
  17. 48
  18. 32
  19. 80
  20. choose what to sort
  21. choose what to sort
  22. choose what to sort
  23. more labelled examples
  24. 3
  25. set aside test photos
  26. correct bad labels
  27. 12
  28. 16
  29. 56
  30. to see if it learned
  31. correct ÷ total × 100
  32. 88
  33. 100
  34. 136
  35. let it learn patterns
  36. 35
  37. 80
  38. correct bad labels
  39. 100
  40. gather many examples

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