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AI for students lesson 23: Design a tiny AI project · Set 237 · 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 — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
  2. 2.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
  3. 3.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  4. 4.📋 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
  5. 5.❌ Saanvi’s handwriting reader was tested on 40 new handwritten letters and got 31 right. How many did it get wrong?
  6. 6.📋 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
  7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
  8. 8.📦 Tara collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  9. 9.🧪 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
  10. 10.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
  11. 11.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 11 right. What is its accuracy in percent?
  12. 12.🎯 Aarav’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  13. 13.🎯 Aarav’s handwriting reader is 70% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  14. 14.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  15. 15.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  16. 16.🧪 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
  17. 17.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
  18. 18.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  19. 19.📋 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
  20. 20.📦 Meera collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
  22. 22.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
  23. 23.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  24. 24.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  25. 25.🎯 Diya’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
  26. 26.🎯 Kabir’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
  27. 27.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
  29. 29.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  30. 30.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  31. 31.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Tara’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
  33. 33.❌ Diya’s bird-song app was tested on 49 new bird songs and got 44 right. How many did it get wrong?
  34. 34.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  35. 35.❌ Vihaan’s leaf identifier was tested on 18 new leaf photos and got 11 right. How many did it get wrong?
  36. 36.🎯 Rohan’s spam spotter was tested on 20 new messages and got 17 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
  38. 38.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  40. 40.❌ Saanvi’s spam spotter was tested on 29 new messages and got 24 right. How many did it get wrong?

Answer key

  1. pick a question to solve
  2. let it learn patterns
  3. 56
  4. work out the accuracy
  5. 9
  6. test on new photos
  7. paper and examples
  8. 32
  9. more labelled examples
  10. 42
  11. 55
  12. 30
  13. 28
  14. 100
  15. test on new photos
  16. to see if it learned
  17. gather many examples
  18. let it learn patterns
  19. calculate percent right
  20. 40
  21. pick a question to solve
  22. collect fruit photos
  23. correct ÷ total × 100
  24. 128
  25. 30
  26. 16
  27. 92
  28. choose what to sort
  29. calculate percent right
  30. try unseen examples
  31. 20
  32. 75
  33. 5
  34. 30
  35. 7
  36. 85
  37. tag each photo by type
  38. 8
  39. split train and test
  40. 5

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