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AI for students lesson 23: Design a tiny AI project · Set 307 · 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 save paper (b) to see if it learned (c) to make it bigger (d) to make it faster
  2. 2.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
  3. 3.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  4. 4.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 28 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
  6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
  7. 7.📋 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
  8. 8.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  9. 9.❌ Diya’s bird-song app was tested on 28 new bird songs and got 26 right. How many did it get wrong?
  10. 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  11. 11.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  12. 12.🎯 Arjun’s fruit sorter is 60% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  13. 13.⚖️ 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?
  14. 14.❌ Aarav’s spam spotter was tested on 37 new messages and got 30 right. How many did it get wrong?
  15. 15.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 25 right. How many percentage points more accurate is Model A?
  16. 16.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
  18. 18.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  19. 19.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  20. 20.📦 Ananya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  21. 21.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  22. 22.🎯 Arjun’s leaf identifier was tested on 50 new leaf photos and got 50 right. What is its accuracy in percent?
  23. 23.📦 Ananya collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  25. 25.🎯 Aarav’s spam spotter was tested on 25 new messages and got 23 right. What is its accuracy in percent?
  26. 26.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  27. 27.📦 Nisha collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  28. 28.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
  29. 29.🧪 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
  30. 30.❌ Diya’s spam spotter was tested on 45 new messages and got 40 right. How many did it get wrong?
  31. 31.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
  32. 32.❌ Rohan’s spam spotter was tested on 32 new messages and got 30 right. How many did it get wrong?
  33. 33.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
  34. 34.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
  36. 36.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
  37. 37.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  38. 38.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
  39. 39.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  40. 40.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?

Answer key

  1. to see if it learned
  2. collect fruit photos
  3. 20
  4. 56
  5. recheck every label
  6. paper and examples
  7. tag each photo by type
  8. split train and test
  9. 2
  10. 10
  11. collect fruit photos
  12. 24
  13. 20
  14. 7
  15. 44
  16. 84
  17. set aside test photos
  18. 81
  19. 35
  20. 56
  21. 50
  22. 100
  23. 144
  24. let it learn patterns
  25. 92
  26. recheck every label
  27. 104
  28. pick a question to solve
  29. more labelled examples
  30. 5
  31. 20
  32. 2
  33. 85
  34. 24
  35. choose what to sort
  36. 42
  37. correct ÷ total × 100
  38. collect fruit photos
  39. 10
  40. 40

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