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AI for students lesson 23: Design a tiny AI project · Set 165 · 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.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
  2. 2.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  3. 3.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  4. 4.📦 Vihaan collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
  6. 6.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  8. 8.📦 Nisha collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  9. 9.❌ Nisha’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
  10. 10.📦 Tara collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  11. 11.🎯 Kabir’s bird-song app was tested on 50 new bird songs and got 33 right. What is its accuracy in percent?
  12. 12.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  13. 13.❌ Meera’s fruit sorter was tested on 45 new fruit photos and got 38 right. How many did it get wrong?
  14. 14.📋 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
  15. 15.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  16. 16.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
  17. 17.❌ Diya’s fruit sorter was tested on 44 new fruit photos and got 38 right. How many did it get wrong?
  18. 18.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  19. 19.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
  20. 20.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 16 right. How many percentage points more accurate is Model A?
  21. 21.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 16 right. What is its accuracy in percent?
  22. 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 44 right and Model B got 37 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  24. 24.📦 Diya collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  25. 25.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
  26. 26.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
  27. 27.❌ Ananya’s handwriting reader was tested on 32 new handwritten letters and got 28 right. How many did it get wrong?
  28. 28.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  30. 30.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  32. 32.📦 Vihaan collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  34. 34.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  35. 35.🎯 Vihaan’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  38. 38.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
  39. 39.📦 Rohan collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest

Answer key

  1. collect fruit photos
  2. test on new photos
  3. 5
  4. 56
  5. more labelled examples
  6. 56
  7. paper and examples
  8. 32
  9. 1
  10. 56
  11. 66
  12. 60
  13. 7
  14. calculate percent right
  15. calculate percent right
  16. 100
  17. 6
  18. correct ÷ total × 100
  19. let it learn patterns
  20. 36
  21. 80
  22. 14
  23. 72
  24. 48
  25. gather many examples
  26. choose what to sort
  27. 4
  28. to see if it learned
  29. work out the accuracy
  30. 56
  31. tag each photo by type
  32. 120
  33. let it learn patterns
  34. 70
  35. 12
  36. correct bad labels
  37. test on new photos
  38. 30
  39. 64
  40. set aside test photos

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