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AI for students lesson 23: Design a tiny AI project · Set 86 · 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 — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  2. 2.🧪 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
  3. 3.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
  4. 4.📋 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
  5. 5.📦 Arjun collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  6. 6.❌ Nisha’s leaf identifier was tested on 23 new leaf photos and got 15 right. How many did it get wrong?
  7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
  8. 8.❌ Diya’s fruit sorter was tested on 14 new fruit photos and got 11 right. How many did it get wrong?
  9. 9.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  10. 10.📋 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
  11. 11.❌ Rohan’s handwriting reader was tested on 38 new handwritten letters and got 36 right. How many did it get wrong?
  12. 12.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
  13. 13.⚖️ 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?
  14. 14.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
  15. 15.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  16. 16.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  17. 17.🎯 Rohan’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
  18. 18.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  19. 19.📋 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
  20. 20.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
  21. 21.❌ Kabir’s recycling sorter was tested on 40 new waste photos and got 32 right. How many did it get wrong?
  22. 22.📦 Meera collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
  25. 25.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  26. 26.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 30 right and Model B got 26 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  28. 28.❌ Kabir’s handwriting reader was tested on 29 new handwritten letters and got 26 right. How many did it get wrong?
  29. 29.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
  31. 31.📋 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
  32. 32.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
  33. 33.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  34. 34.🎯 Tara’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  36. 36.❌ Ananya’s fruit sorter was tested on 26 new fruit photos and got 17 right. How many did it get wrong?
  37. 37.📦 Nisha collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  39. 39.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  40. 40.❌ Rohan’s spam spotter was tested on 24 new messages and got 19 right. How many did it get wrong?

Answer key

  1. try unseen examples
  2. paper and examples
  3. label each example
  4. test on new photos
  5. 152
  6. 8
  7. to see if it learned
  8. 3
  9. choose what to sort
  10. split train and test
  11. 2
  12. pick a question to solve
  13. 4
  14. 50
  15. correct ÷ total × 100
  16. train the model
  17. 72
  18. 16
  19. calculate percent right
  20. split train and test
  21. 8
  22. 152
  23. 75
  24. pick a question to solve
  25. 54
  26. 8
  27. train the model
  28. 3
  29. 64
  30. correct bad labels
  31. set aside test photos
  32. choose what to sort
  33. 75
  34. 64
  35. try unseen examples
  36. 9
  37. 120
  38. work out the accuracy
  39. 112
  40. 5

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