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AI for students lesson 23: Design a tiny AI project · Set 592 · 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.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
  2. 2.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  3. 3.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
  4. 4.❌ Diya’s recycling sorter was tested on 15 new waste photos and got 10 right. How many did it get wrong?
  5. 5.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
  6. 6.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
  7. 7.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
  8. 8.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  9. 9.🧪 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
  10. 10.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  11. 11.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 41 right and Model B got 33 right. How many percentage points more accurate is Model A?
  12. 12.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  13. 13.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  14. 14.❌ Diya’s leaf identifier was tested on 32 new leaf photos and got 27 right. How many did it get wrong?
  15. 15.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
  16. 16.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  17. 17.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  18. 18.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
  19. 19.📋 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
  20. 20.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
  21. 21.📋 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
  22. 22.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
  23. 23.❌ Vihaan’s leaf identifier was tested on 19 new leaf photos and got 13 right. How many did it get wrong?
  24. 24.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  25. 25.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  26. 26.❌ Vihaan’s bird-song app was tested on 43 new bird songs and got 35 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  28. 28.📋 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
  29. 29.❌ Saanvi’s recycling sorter was tested on 21 new waste photos and got 14 right. How many did it get wrong?
  30. 30.❌ Kabir’s bird-song app was tested on 23 new bird songs and got 22 right. How many did it get wrong?
  31. 31.🎯 Ananya’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
  32. 32.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 45 right. How many percentage points more accurate is Model A?
  33. 33.📋 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
  34. 34.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  35. 35.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  36. 36.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
  37. 37.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  38. 38.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  40. 40.📦 Ananya collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 80
  2. 50
  3. 90
  4. 5
  5. choose what to sort
  6. 70
  7. recheck every label
  8. try unseen examples
  9. to see if it learned
  10. 30
  11. 16
  12. gather many examples
  13. 60
  14. 5
  15. paper and examples
  16. 60
  17. 144
  18. label each example
  19. work out the accuracy
  20. correct ÷ total × 100
  21. split train and test
  22. 54
  23. 6
  24. let it learn patterns
  25. 30
  26. 8
  27. try unseen examples
  28. work out the accuracy
  29. 7
  30. 1
  31. 100
  32. 10
  33. test on new photos
  34. work out the accuracy
  35. 10
  36. 65
  37. 72
  38. 15
  39. train the model
  40. 48

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