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AI for students lesson 23: Design a tiny AI project · Set 862 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
  2. 2.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  4. 4.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  5. 5.🎯 Nisha’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  6. 6.🎯 Kabir’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 — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
  8. 8.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  9. 9.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  10. 10.❌ Arjun’s handwriting reader was tested on 48 new handwritten letters and got 39 right. How many did it get wrong?
  11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 5 right. How many percentage points more accurate is Model A?
  12. 12.❌ Nisha’s fruit sorter was tested on 19 new fruit photos and got 17 right. How many did it get wrong?
  13. 13.🎯 Nisha’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  14. 14.📦 Meera collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  15. 15.📦 Nisha collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Rohan’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
  17. 17.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
  19. 19.📦 Ishaan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
  21. 21.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  22. 22.📦 Aarav collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.📦 Diya collected 120 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  24. 24.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
  25. 25.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
  26. 26.❌ Ananya’s bird-song app was tested on 20 new bird songs and got 12 right. How many did it get wrong?
  27. 27.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  28. 28.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 19 right. What is its accuracy in percent?
  29. 29.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  31. 31.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  32. 32.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  33. 33.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  34. 34.🧪 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
  35. 35.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  37. 37.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
  38. 38.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  39. 39.❌ Aarav’s bird-song app was tested on 17 new bird songs and got 16 right. How many did it get wrong?
  40. 40.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?

Answer key

  1. to see if it learned
  2. correct ÷ total × 100
  3. more labelled examples
  4. 20
  5. 60
  6. 70
  7. gather many examples
  8. test on new photos
  9. split train and test
  10. 9
  11. 30
  12. 2
  13. 50
  14. 72
  15. 64
  16. 64
  17. 88
  18. 54
  19. 88
  20. label each example
  21. train the model
  22. 72
  23. 96
  24. collect fruit photos
  25. gather many examples
  26. 8
  27. 6
  28. 76
  29. 75
  30. let it learn patterns
  31. 5
  32. tag each photo by type
  33. test on new photos
  34. paper and examples
  35. 25
  36. train the model
  37. 20
  38. 15
  39. 1
  40. 60

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