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AI for students lesson 23: Design a tiny AI project · Set 240 · 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.❌ Diya’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?
  2. 2.🎯 Ishaan’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
  3. 3.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  4. 4.🧪 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
  5. 5.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  6. 6.📦 Diya collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  7. 7.🎯 Meera’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  8. 8.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  9. 9.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
  10. 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
  11. 11.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 15 right. What is its accuracy in percent?
  12. 12.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  13. 13.📋 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
  14. 14.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  15. 15.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  16. 16.❌ Diya’s bird-song app was tested on 24 new bird songs and got 17 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  18. 18.❌ Vihaan’s bird-song app was tested on 19 new bird songs and got 11 right. How many did it get wrong?
  19. 19.🎯 Tara’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
  20. 20.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 48 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  22. 22.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
  23. 23.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  25. 25.📋 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
  26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  27. 27.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
  28. 28.📋 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
  29. 29.📋 Planning an AI project: which comes first — fix it and test again or recheck every label? (a) fix it and test again (b) recheck every label
  30. 30.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
  31. 31.❌ Kabir’s spam spotter was tested on 22 new messages and got 19 right. How many did it get wrong?
  32. 32.📋 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
  33. 33.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
  34. 34.📋 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
  35. 35.📦 Ishaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  36. 36.❌ Diya’s recycling sorter was tested on 26 new waste photos and got 18 right. How many did it get wrong?
  37. 37.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
  39. 39.📋 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
  40. 40.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos

Answer key

  1. 8
  2. 70
  3. to see if it learned
  4. more labelled examples
  5. collect fruit photos
  6. 160
  7. 50
  8. 20
  9. 15
  10. paper and examples
  11. 75
  12. correct ÷ total × 100
  13. test on new photos
  14. 16
  15. let it learn patterns
  16. 7
  17. correct bad labels
  18. 8
  19. 100
  20. 4
  21. correct bad labels
  22. split train and test
  23. 56
  24. correct bad labels
  25. choose what to sort
  26. work out the accuracy
  27. 12
  28. let it learn patterns
  29. recheck every label
  30. 72
  31. 3
  32. work out the accuracy
  33. gather many examples
  34. test on new photos
  35. 56
  36. 8
  37. 100
  38. collect fruit photos
  39. gather many examples
  40. test on new photos

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