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AI for students lesson 23: Design a tiny AI project · Set 667 · 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 — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  2. 2.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 48 right. How many percentage points more accurate is Model A?
  3. 3.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
  4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a new colour screen (d) a louder speaker
  7. 7.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  8. 8.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  9. 9.🧪 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
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
  11. 11.❌ Kabir’s fruit sorter was tested on 33 new fruit photos and got 27 right. How many did it get wrong?
  12. 12.📋 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
  13. 13.❌ Ananya’s leaf identifier was tested on 28 new leaf photos and got 24 right. How many did it get wrong?
  14. 14.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  15. 15.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
  16. 16.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
  17. 17.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  18. 18.🎯 Ananya’s spam spotter was tested on 25 new messages and got 18 right. What is its accuracy in percent?
  19. 19.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  20. 20.🎯 Arjun’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
  21. 21.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
  23. 23.📋 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
  24. 24.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  25. 25.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
  26. 26.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  28. 28.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
  29. 29.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
  30. 30.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  31. 31.🎯 Ishaan’s recycling sorter is 70% accurate. If it is tested on 30 new waste photos, how many should it get right?
  32. 32.📦 Diya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  34. 34.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  35. 35.📦 Tara collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
  37. 37.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  39. 39.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model

Answer key

  1. train the model
  2. 2
  3. gather many examples
  4. 20
  5. let it learn patterns
  6. more labelled examples
  7. 40
  8. 10
  9. paper and examples
  10. to see if it learned
  11. 6
  12. collect fruit photos
  13. 4
  14. 100
  15. gather many examples
  16. recheck every label
  17. correct ÷ total × 100
  18. 72
  19. 18
  20. 100
  21. 10
  22. 30
  23. recheck every label
  24. 10
  25. 5
  26. 36
  27. split train and test
  28. set aside test photos
  29. set aside test photos
  30. 5
  31. 21
  32. 32
  33. test on new photos
  34. set aside test photos
  35. 104
  36. gather many examples
  37. 30
  38. let it learn patterns
  39. 20
  40. train the model

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