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AI for students lesson 23: Design a tiny AI project · Set 654 · 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 leaf identifier models were tested on the same 20 leaf photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
  2. 2.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
  3. 3.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  4. 4.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
  5. 5.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  6. 6.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.❌ Saanvi’s spam spotter was tested on 34 new messages and got 29 right. How many did it get wrong?
  8. 8.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  9. 9.🧪 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 save paper (d) to make it faster
  10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
  11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
  12. 12.🎯 Nisha’s recycling sorter is 80% accurate. If it is tested on 30 new waste photos, how many should it get right?
  13. 13.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  14. 14.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  16. 16.📋 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
  17. 17.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
  18. 18.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  19. 19.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  20. 20.🎯 Diya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
  22. 22.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
  23. 23.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
  25. 25.📋 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
  26. 26.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  27. 27.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  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.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  31. 31.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
  32. 32.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  33. 33.📋 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
  34. 34.❌ Aarav’s spam spotter was tested on 29 new messages and got 23 right. How many did it get wrong?
  35. 35.📦 Diya collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
  37. 37.🎯 Arjun’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
  38. 38.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
  39. 39.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos

Answer key

  1. 15
  2. correct ÷ total × 100
  3. work out the accuracy
  4. 21
  5. split train and test
  6. 56
  7. 5
  8. work out the accuracy
  9. to see if it learned
  10. paper and examples
  11. more labelled examples
  12. 24
  13. 21
  14. 4
  15. 90
  16. train the model
  17. choose what to sort
  18. work out the accuracy
  19. 75
  20. 6
  21. collect fruit photos
  22. 90
  23. 9
  24. gather many examples
  25. let it learn patterns
  26. try unseen examples
  27. 65
  28. try unseen examples
  29. collect fruit photos
  30. 45
  31. pick a question to solve
  32. 5
  33. let it learn patterns
  34. 6
  35. 128
  36. gather many examples
  37. 27
  38. tag each photo by type
  39. 8
  40. choose what to sort

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