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AI for students lesson 23: Design a tiny AI project · Set 308 · 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 20 handwritten letters. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
  2. 2.❌ Meera’s spam spotter was tested on 19 new messages and got 11 right. How many did it get wrong?
  3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  4. 4.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  5. 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  6. 6.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
  7. 7.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  8. 8.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  9. 9.⚖️ 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?
  10. 10.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  11. 11.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
  12. 12.🎯 Diya’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
  13. 13.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  14. 14.🎯 Arjun’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  15. 15.📋 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
  16. 16.📦 Kabir collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  17. 17.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
  18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
  19. 19.📦 Meera collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  20. 20.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
  21. 21.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
  22. 22.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
  23. 23.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  24. 24.❌ Saanvi’s leaf identifier was tested on 38 new leaf photos and got 35 right. How many did it get wrong?
  25. 25.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 44 right. How many percentage points more accurate is Model A?
  26. 26.🎯 Meera’s spam spotter is 60% accurate. If it is tested on 80 new messages, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  28. 28.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  29. 29.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  30. 30.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
  31. 31.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  32. 32.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
  33. 33.❌ Nisha’s leaf identifier was tested on 46 new leaf photos and got 44 right. How many did it get wrong?
  34. 34.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Rohan’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
  36. 36.📦 Tara collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
  38. 38.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  39. 39.🎯 Ishaan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos

Answer key

  1. 15
  2. 8
  3. to see if it learned
  4. work out the accuracy
  5. 40
  6. 65
  7. 10
  8. 36
  9. 4
  10. 27
  11. 50
  12. 100
  13. correct ÷ total × 100
  14. 80
  15. choose what to sort
  16. 80
  17. paper and examples
  18. 10
  19. 96
  20. more labelled examples
  21. choose what to sort
  22. 18
  23. test on new photos
  24. 3
  25. 8
  26. 48
  27. tag each photo by type
  28. train the model
  29. collect fruit photos
  30. let it learn patterns
  31. 80
  32. recheck every label
  33. 2
  34. 10
  35. 52
  36. 48
  37. split train and test
  38. 10
  39. 100
  40. recheck every label

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