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AI for students lesson 23: Design a tiny AI project · Set 464 · 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.🎯 Arjun’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  3. 3.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 19 right. How many percentage points more accurate is Model A?
  4. 4.🧪 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
  5. 5.📋 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
  6. 6.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
  7. 7.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  8. 8.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  11. 11.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 14 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  13. 13.📦 Diya collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  14. 14.📋 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
  15. 15.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 16 right. How many percentage points more accurate is Model A?
  16. 16.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
  17. 17.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
  18. 18.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
  20. 20.📋 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
  21. 21.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  23. 23.📦 Meera collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  24. 24.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  25. 25.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.❌ Vihaan’s fruit sorter was tested on 37 new fruit photos and got 31 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  28. 28.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  29. 29.📋 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
  30. 30.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  31. 31.📦 Rohan collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  32. 32.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  33. 33.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  34. 34.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  35. 35.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  36. 36.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  37. 37.📦 Tara collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  38. 38.🎯 Rohan’s recycling sorter was tested on 20 new waste photos and got 15 right. What is its accuracy in percent?
  39. 39.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  40. 40.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy

Answer key

  1. 48
  2. 10
  3. 24
  4. to see if it learned
  5. train the model
  6. choose what to sort
  7. train the model
  8. 80
  9. split train and test
  10. more labelled examples
  11. 70
  12. recheck every label
  13. 88
  14. calculate percent right
  15. 20
  16. paper and examples
  17. correct bad labels
  18. 50
  19. gather many examples
  20. test on new photos
  21. 66
  22. test on new photos
  23. 56
  24. 56
  25. 48
  26. 6
  27. try unseen examples
  28. 20
  29. tag each photo by type
  30. 80
  31. 128
  32. 20
  33. 35
  34. 75
  35. 24
  36. 5
  37. 128
  38. 75
  39. work out the accuracy
  40. test on new photos

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