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AI for students lesson 23: Design a tiny AI project · Set 536 · 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 — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
  2. 2.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
  3. 3.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  4. 4.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
  5. 5.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 34 right. What is its accuracy in percent?
  6. 6.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
  7. 7.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  8. 8.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
  9. 9.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  10. 10.📦 Diya collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  11. 11.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  14. 14.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  15. 15.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  16. 16.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
  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.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  19. 19.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  20. 20.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  22. 22.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
  23. 23.📋 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
  24. 24.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
  25. 25.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
  26. 26.📋 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
  27. 27.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  28. 28.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  30. 30.❌ Aarav’s leaf identifier was tested on 27 new leaf photos and got 21 right. How many did it get wrong?
  31. 31.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  32. 32.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  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.🎯 Vihaan’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  35. 35.📦 Diya collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 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
  37. 37.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
  38. 38.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
  39. 39.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
  40. 40.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test

Answer key

  1. set aside test photos
  2. pick a question to solve
  3. 30
  4. choose what to sort
  5. 68
  6. correct ÷ total × 100
  7. tag each photo by type
  8. set aside test photos
  9. calculate percent right
  10. 88
  11. 7
  12. more labelled examples
  13. to see if it learned
  14. work out the accuracy
  15. train the model
  16. 6
  17. paper and examples
  18. split train and test
  19. 5
  20. 27
  21. let it learn patterns
  22. set aside test photos
  23. try unseen examples
  24. choose what to sort
  25. 60
  26. test on new photos
  27. gather many examples
  28. collect fruit photos
  29. correct bad labels
  30. 6
  31. 80
  32. recheck every label
  33. let it learn patterns
  34. 36
  35. 72
  36. test on new photos
  37. 20
  38. 64
  39. choose what to sort
  40. split train and test

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