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AI for students lesson 23: Design a tiny AI project · Set 370 · 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 label each example? (a) calculate percent right (b) label each example
  2. 2.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
  3. 3.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  4. 4.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  5. 5.🧪 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
  6. 6.❌ Meera’s spam spotter was tested on 14 new messages and got 12 right. How many did it get wrong?
  7. 7.❌ Meera’s spam spotter was tested on 14 new messages and got 10 right. How many did it get wrong?
  8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  9. 9.📋 Planning an AI project: which comes first — train the model or pick a question to solve? (a) train the model (b) pick a question to solve
  10. 10.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
  11. 11.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
  12. 12.📦 Diya collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  13. 13.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  14. 14.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  15. 15.❌ Vihaan’s recycling sorter was tested on 45 new waste photos and got 39 right. How many did it get wrong?
  16. 16.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  17. 17.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
  18. 18.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  19. 19.❌ Aarav’s handwriting reader was tested on 45 new handwritten letters and got 41 right. How many did it get wrong?
  20. 20.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  21. 21.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  23. 23.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  24. 24.🎯 Nisha’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  25. 25.🎯 Saanvi’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
  26. 26.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
  27. 27.📦 Tara collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  28. 28.📦 Kabir collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  29. 29.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 33 right. How many percentage points more accurate is Model A?
  30. 30.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  31. 31.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  32. 32.📋 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
  33. 33.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  34. 34.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
  35. 35.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 90 new bird songs, how many should it get right?
  36. 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
  37. 37.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  38. 38.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 37 right. What is its accuracy in percent?
  39. 39.🎯 Tara’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  40. 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?

Answer key

  1. label each example
  2. 30
  3. correct bad labels
  4. 50
  5. more labelled examples
  6. 2
  7. 4
  8. to see if it learned
  9. pick a question to solve
  10. choose what to sort
  11. choose what to sort
  12. 120
  13. 100
  14. 152
  15. 6
  16. train the model
  17. 40
  18. train the model
  19. 4
  20. train the model
  21. 60
  22. work out the accuracy
  23. 4
  24. 75
  25. 56
  26. 16
  27. 112
  28. 96
  29. 22
  30. 90
  31. calculate percent right
  32. calculate percent right
  33. tag each photo by type
  34. 100
  35. 45
  36. 30
  37. 6
  38. 74
  39. 100
  40. 20

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