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AI for students lesson 23: Design a tiny AI project · Set 61 · 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 — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
  2. 2.❌ Arjun’s leaf identifier was tested on 26 new leaf photos and got 20 right. How many did it get wrong?
  3. 3.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  5. 5.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  6. 6.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  7. 7.📋 Planning an AI project: which comes first — pick a question to solve or fix it and test again? (a) pick a question to solve (b) fix it and test again
  8. 8.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  9. 9.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  10. 10.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
  11. 11.📦 Rohan collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  12. 12.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  13. 13.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  14. 14.📋 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
  15. 15.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  16. 16.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  18. 18.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
  19. 19.📋 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
  20. 20.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  21. 21.📋 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
  22. 22.🧪 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
  23. 23.📦 Meera collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  24. 24.❌ Kabir’s fruit sorter was tested on 22 new fruit photos and got 19 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
  26. 26.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  27. 27.📦 Vihaan collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  28. 28.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
  29. 29.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
  30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  31. 31.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
  32. 32.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  33. 33.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  34. 34.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  35. 35.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  36. 36.🎯 Ishaan’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  38. 38.📋 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
  39. 39.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
  40. 40.📦 Rohan collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. gather many examples
  2. 6
  3. 30
  4. to see if it learned
  5. work out the accuracy
  6. 20
  7. pick a question to solve
  8. 40
  9. choose what to sort
  10. 28
  11. 88
  12. 128
  13. 20
  14. test on new photos
  15. 48
  16. 42
  17. try unseen examples
  18. choose what to sort
  19. test on new photos
  20. let it learn patterns
  21. calculate percent right
  22. paper and examples
  23. 152
  24. 3
  25. correct bad labels
  26. 10
  27. 96
  28. gather many examples
  29. correct bad labels
  30. more labelled examples
  31. correct bad labels
  32. correct bad labels
  33. 10
  34. 8
  35. 5
  36. 70
  37. work out the accuracy
  38. test on new photos
  39. pick a question to solve
  40. 152

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