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AI for students lesson 23: Design a tiny AI project · Set 312 · 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.❌ Meera’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
  2. 2.❌ Tara’s handwriting reader was tested on 27 new handwritten letters and got 26 right. How many did it get wrong?
  3. 3.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  4. 4.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  6. 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  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.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  9. 9.📦 Meera collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  10. 10.🎯 Rohan’s recycling sorter was tested on 25 new waste photos and got 24 right. What is its accuracy in percent?
  11. 11.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  12. 12.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  13. 13.📋 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
  14. 14.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  15. 15.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 43 right and Model B got 27 right. How many percentage points more accurate is Model A?
  16. 16.🎯 Rohan’s leaf identifier is 70% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
  18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to save paper (d) to make it bigger
  19. 19.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
  20. 20.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
  21. 21.🎯 Ananya’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
  22. 22.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  23. 23.❌ Saanvi’s recycling sorter was tested on 38 new waste photos and got 29 right. How many did it get wrong?
  24. 24.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  25. 25.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  26. 26.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  27. 27.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
  28. 28.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  29. 29.🎯 Tara’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
  30. 30.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  31. 31.📋 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
  32. 32.📦 Arjun collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  33. 33.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 10 right. How many percentage points more accurate is Model A?
  35. 35.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  36. 36.📋 Planning an AI project: which comes first — train the model or choose what to sort? (a) train the model (b) choose what to sort
  37. 37.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
  38. 38.❌ Vihaan’s recycling sorter was tested on 29 new waste photos and got 20 right. How many did it get wrong?
  39. 39.📋 Planning an AI project: which comes first — tag each photo by type or let it learn patterns? (a) tag each photo by type (b) let it learn patterns
  40. 40.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns

Answer key

  1. 5
  2. 1
  3. paper and examples
  4. tag each photo by type
  5. more labelled examples
  6. 20
  7. train the model
  8. collect fruit photos
  9. 88
  10. 96
  11. try unseen examples
  12. pick a question to solve
  13. tag each photo by type
  14. correct ÷ total × 100
  15. 32
  16. 7
  17. recheck every label
  18. to see if it learned
  19. 25
  20. tag each photo by type
  21. 32
  22. tag each photo by type
  23. 9
  24. 30
  25. 10
  26. work out the accuracy
  27. split train and test
  28. 50
  29. 85
  30. 54
  31. work out the accuracy
  32. 112
  33. 20
  34. 20
  35. test on new photos
  36. choose what to sort
  37. collect fruit photos
  38. 9
  39. tag each photo by type
  40. set aside test photos

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