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AI for students lesson 23: Design a tiny AI project · Set 294 · 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.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  2. 2.❌ Meera’s bird-song app was tested on 26 new bird songs and got 19 right. How many did it get wrong?
  3. 3.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  4. 4.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  5. 5.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 42 right. How many percentage points more accurate is Model A?
  6. 6.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  7. 7.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 21 right and Model B got 17 right. How many percentage points more accurate is Model A?
  8. 8.📦 Nisha collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  9. 9.📋 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
  10. 10.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  11. 11.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  12. 12.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  13. 13.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 22 right. How many did it get wrong?
  14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
  15. 15.📦 Arjun collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
  18. 18.📦 Diya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  19. 19.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 37 right. What is its accuracy in percent?
  20. 20.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  21. 21.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  22. 22.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  23. 23.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
  24. 24.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  25. 25.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  26. 26.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  27. 27.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
  28. 28.📦 Ananya collected 80 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 — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
  30. 30.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
  31. 31.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
  32. 32.📋 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
  33. 33.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
  34. 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  35. 35.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
  36. 36.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
  37. 37.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
  38. 38.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
  39. 39.❌ Saanvi’s bird-song app was tested on 41 new bird songs and got 38 right. How many did it get wrong?
  40. 40.🎯 Meera’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?

Answer key

  1. 136
  2. 7
  3. correct ÷ total × 100
  4. choose what to sort
  5. 8
  6. test on new photos
  7. 16
  8. 72
  9. work out the accuracy
  10. train the model
  11. 45
  12. calculate percent right
  13. 4
  14. more labelled examples
  15. 128
  16. 10
  17. set aside test photos
  18. 120
  19. 74
  20. test on new photos
  21. train the model
  22. 25
  23. let it learn patterns
  24. 49
  25. 24
  26. to see if it learned
  27. choose what to sort
  28. 64
  29. choose what to sort
  30. 35
  31. 76
  32. calculate percent right
  33. collect fruit photos
  34. 10
  35. pick a question to solve
  36. gather many examples
  37. 5
  38. 60
  39. 3
  40. 50

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