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AI for students lesson 23: Design a tiny AI project · Set 823 · 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.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  2. 2.🎯 Ishaan’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  3. 3.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 41 right. What is its accuracy in percent?
  4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  6. 6.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
  8. 8.❌ Meera’s bird-song app was tested on 33 new bird songs and got 25 right. How many did it get wrong?
  9. 9.🎯 Nisha’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
  10. 10.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
  11. 11.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
  12. 12.❌ Meera’s handwriting reader was tested on 23 new handwritten letters and got 14 right. How many did it get wrong?
  13. 13.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 50 new messages, how many should it get right?
  14. 14.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  15. 15.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  16. 16.📋 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
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  18. 18.🎯 Diya’s spam spotter was tested on 50 new messages and got 37 right. What is its accuracy in percent?
  19. 19.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
  20. 20.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
  21. 21.🎯 Ananya’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
  22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  23. 23.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
  24. 24.🎯 Kabir’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
  25. 25.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  26. 26.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  27. 27.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
  28. 28.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
  29. 29.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
  30. 30.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  31. 31.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 5 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 — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
  34. 34.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  35. 35.❌ Ishaan’s leaf identifier was tested on 47 new leaf photos and got 40 right. How many did it get wrong?
  36. 36.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  38. 38.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
  39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 11 right and Model B got 10 right. How many percentage points more accurate is Model A?
  40. 40.❌ Arjun’s leaf identifier was tested on 31 new leaf photos and got 27 right. How many did it get wrong?

Answer key

  1. correct ÷ total × 100
  2. 18
  3. 82
  4. 15
  5. label each example
  6. 10
  7. to see if it learned
  8. 8
  9. 42
  10. label each example
  11. 20
  12. 9
  13. 30
  14. try unseen examples
  15. train the model
  16. work out the accuracy
  17. set aside test photos
  18. 74
  19. 63
  20. 8
  21. 5
  22. 5
  23. choose what to sort
  24. 21
  25. 63
  26. 45
  27. 10
  28. 60
  29. choose what to sort
  30. 88
  31. 100
  32. recheck every label
  33. choose what to sort
  34. paper and examples
  35. 7
  36. collect fruit photos
  37. work out the accuracy
  38. tag each photo by type
  39. 5
  40. 4

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