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AI for students lesson 23: Design a tiny AI project · Set 628 · 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 was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
  2. 2.📦 Vihaan collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  3. 3.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  4. 4.❌ Vihaan’s fruit sorter was tested on 32 new fruit photos and got 31 right. How many did it get wrong?
  5. 5.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
  6. 6.🎯 Diya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
  7. 7.🎯 Ishaan’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
  8. 8.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
  9. 9.❌ Aarav’s leaf identifier was tested on 13 new leaf photos and got 12 right. How many did it get wrong?
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  11. 11.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
  13. 13.🎯 Meera’s bird-song app was tested on 25 new bird songs and got 17 right. What is its accuracy in percent?
  14. 14.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  16. 16.📋 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
  17. 17.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
  18. 18.❌ Aarav’s fruit sorter was tested on 18 new fruit photos and got 13 right. How many did it get wrong?
  19. 19.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
  20. 20.❌ Kabir’s spam spotter was tested on 38 new messages and got 31 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
  22. 22.🧪 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
  23. 23.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  24. 24.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  25. 25.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
  26. 26.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
  27. 27.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  29. 29.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  30. 30.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
  31. 31.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 35 right. What is its accuracy in percent?
  32. 32.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  33. 33.❌ Kabir’s handwriting reader was tested on 30 new handwritten letters and got 24 right. How many did it get wrong?
  34. 34.🎯 Diya’s spam spotter was tested on 50 new messages and got 31 right. What is its accuracy in percent?
  35. 35.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
  36. 36.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  37. 37.⚖️ 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?
  38. 38.📋 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
  39. 39.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
  40. 40.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?

Answer key

  1. 70
  2. 88
  3. 30
  4. 1
  5. correct ÷ total × 100
  6. 100
  7. 90
  8. label each example
  9. 1
  10. to see if it learned
  11. 50
  12. gather many examples
  13. 68
  14. 10
  15. split train and test
  16. test on new photos
  17. 4
  18. 5
  19. 14
  20. 7
  21. tag each photo by type
  22. paper and examples
  23. 56
  24. 30
  25. 4
  26. pick a question to solve
  27. 90
  28. train the model
  29. test on new photos
  30. choose what to sort
  31. 70
  32. 80
  33. 6
  34. 62
  35. 16
  36. 54
  37. 10
  38. choose what to sort
  39. 15
  40. 45

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