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AI for students lesson 23: Design a tiny AI project · Set 346 · 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.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  2. 2.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  3. 3.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  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.❌ Rohan’s fruit sorter was tested on 27 new fruit photos and got 22 right. How many did it get wrong?
  6. 6.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  7. 7.📦 Arjun collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
  9. 9.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  10. 10.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
  11. 11.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  12. 12.❌ Meera’s handwriting reader was tested on 41 new handwritten letters and got 37 right. How many did it get wrong?
  13. 13.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  14. 14.❌ Rohan’s spam spotter was tested on 21 new messages and got 20 right. How many did it get wrong?
  15. 15.❌ Rohan’s leaf identifier was tested on 15 new leaf photos and got 10 right. How many did it get wrong?
  16. 16.📋 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
  17. 17.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  18. 18.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
  19. 19.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
  20. 20.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  21. 21.🎯 Kabir’s recycling sorter is 60% accurate. If it is tested on 80 new waste photos, how many should it get right?
  22. 22.❌ Tara’s spam spotter was tested on 36 new messages and got 27 right. How many did it get wrong?
  23. 23.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
  24. 24.❌ Vihaan’s spam spotter was tested on 17 new messages and got 16 right. How many did it get wrong?
  25. 25.📦 Diya collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
  27. 27.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
  28. 28.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  29. 29.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 46 right and Model B got 30 right. How many percentage points more accurate is Model A?
  30. 30.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
  31. 31.📋 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
  32. 32.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 90 new messages, how many should it get right?
  33. 33.🎯 Tara’s handwriting reader was tested on 50 new handwritten letters and got 45 right. What is its accuracy in percent?
  34. 34.❌ Ishaan’s recycling sorter was tested on 46 new waste photos and got 41 right. How many did it get wrong?
  35. 35.📋 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
  36. 36.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  37. 37.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 41 right and Model B got 37 right. How many percentage points more accurate is Model A?
  38. 38.🎯 Aarav’s spam spotter was tested on 25 new messages and got 24 right. What is its accuracy in percent?
  39. 39.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  40. 40.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all

Answer key

  1. 64
  2. 128
  3. let it learn patterns
  4. more labelled examples
  5. 5
  6. try unseen examples
  7. 40
  8. to see if it learned
  9. label each example
  10. pick a question to solve
  11. collect fruit photos
  12. 4
  13. split train and test
  14. 1
  15. 5
  16. recheck every label
  17. try unseen examples
  18. correct ÷ total × 100
  19. 63
  20. try unseen examples
  21. 48
  22. 9
  23. pick a question to solve
  24. 1
  25. 136
  26. tag each photo by type
  27. choose what to sort
  28. test on new photos
  29. 32
  30. 25
  31. test on new photos
  32. 81
  33. 90
  34. 5
  35. pick a question to solve
  36. label each example
  37. 8
  38. 96
  39. gather many examples
  40. paper and examples

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