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AI for students lesson 23: Design a tiny AI project · Set 956 · 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.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 60 new messages, how many should it get right?
  2. 2.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  3. 3.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  5. 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
  6. 6.❌ Aarav’s leaf identifier was tested on 37 new leaf photos and got 32 right. How many did it get wrong?
  7. 7.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
  8. 8.🎯 Arjun’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
  9. 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
  10. 10.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 39 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  12. 12.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
  13. 13.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
  14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
  15. 15.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
  16. 16.🎯 Kabir’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  17. 17.❌ Kabir’s leaf identifier was tested on 39 new leaf photos and got 31 right. How many did it get wrong?
  18. 18.❌ Kabir’s recycling sorter was tested on 19 new waste photos and got 18 right. How many did it get wrong?
  19. 19.🎯 Aarav’s recycling sorter was tested on 50 new waste photos and got 32 right. What is its accuracy in percent?
  20. 20.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  21. 21.🎯 Meera’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  22. 22.🎯 Aarav’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
  23. 23.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  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.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  27. 27.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  28. 28.📋 Planning an AI project: which comes first — gather many examples or recheck every label? (a) gather many examples (b) recheck every label
  29. 29.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  31. 31.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
  32. 32.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  33. 33.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 40 right. How many percentage points more accurate is Model A?
  34. 34.❌ Kabir’s recycling sorter was tested on 27 new waste photos and got 24 right. How many did it get wrong?
  35. 35.📦 Rohan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
  37. 37.🎯 Meera’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
  38. 38.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
  39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  40. 40.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?

Answer key

  1. 48
  2. 64
  3. 80
  4. to see if it learned
  5. paper and examples
  6. 5
  7. choose what to sort
  8. 90
  9. correct ÷ total × 100
  10. 18
  11. 15
  12. 6
  13. label each example
  14. more labelled examples
  15. pick a question to solve
  16. 100
  17. 8
  18. 1
  19. 64
  20. 75
  21. 60
  22. 75
  23. test on new photos
  24. let it learn patterns
  25. 14
  26. work out the accuracy
  27. 30
  28. gather many examples
  29. 48
  30. recheck every label
  31. 21
  32. train the model
  33. 10
  34. 3
  35. 48
  36. let it learn patterns
  37. 68
  38. 84
  39. 5
  40. 45

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