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AI for students lesson 23: Design a tiny AI project · Set 904 · 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 — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  3. 3.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  4. 4.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
  5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) only a big robot (d) nothing at all
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
  7. 7.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  8. 8.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  9. 9.📋 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
  10. 10.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  11. 11.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
  12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  13. 13.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 30 new messages, how many should it get right?
  14. 14.📋 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
  15. 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  16. 16.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  17. 17.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 17 right. How many percentage points more accurate is Model A?
  18. 18.📦 Diya collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  19. 19.❌ Diya’s bird-song app was tested on 46 new bird songs and got 42 right. How many did it get wrong?
  20. 20.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  21. 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  22. 22.📦 Tara collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  23. 23.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  25. 25.📦 Saanvi collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 15 right. What is its accuracy in percent?
  27. 27.📋 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
  28. 28.📦 Meera collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  30. 30.❌ Ananya’s leaf identifier was tested on 36 new leaf photos and got 35 right. How many did it get wrong?
  31. 31.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  32. 32.🎯 Tara’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  33. 33.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
  35. 35.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  36. 36.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  37. 37.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  38. 38.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
  39. 39.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
  40. 40.🎯 Vihaan’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?

Answer key

  1. calculate percent right
  2. 10
  3. 56
  4. correct bad labels
  5. paper and examples
  6. to see if it learned
  7. 75
  8. 60
  9. split train and test
  10. let it learn patterns
  11. tag each photo by type
  12. more labelled examples
  13. 24
  14. train the model
  15. calculate percent right
  16. correct ÷ total × 100
  17. 15
  18. 88
  19. 4
  20. set aside test photos
  21. 20
  22. 96
  23. 56
  24. let it learn patterns
  25. 128
  26. 60
  27. test on new photos
  28. 128
  29. let it learn patterns
  30. 1
  31. 18
  32. 60
  33. tag each photo by type
  34. tag each photo by type
  35. test on new photos
  36. 8
  37. pick a question to solve
  38. 84
  39. gather many examples
  40. 36

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