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AI for students lesson 23: Design a tiny AI project · Set 790 · 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.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  2. 2.📦 Aarav collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  3. 3.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  4. 4.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  5. 5.📋 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
  6. 6.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  7. 7.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
  8. 8.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
  9. 9.❌ Ishaan’s spam spotter was tested on 24 new messages and got 15 right. How many did it get wrong?
  10. 10.❌ Tara’s spam spotter was tested on 39 new messages and got 30 right. How many did it get wrong?
  11. 11.📋 Planning an AI project: which comes first — gather many examples or tag each photo by type? (a) gather many examples (b) tag each photo by type
  12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
  13. 13.🧪 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
  14. 14.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
  15. 15.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
  17. 17.📦 Nisha collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) more labelled examples (d) a louder speaker
  19. 19.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  20. 20.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  21. 21.🎯 Arjun’s spam spotter was tested on 20 new messages and got 11 right. What is its accuracy in percent?
  22. 22.❌ Ishaan’s bird-song app was tested on 47 new bird songs and got 43 right. How many did it get wrong?
  23. 23.📦 Aarav collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  24. 24.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 33 right and Model B got 32 right. How many percentage points more accurate is Model A?
  25. 25.🎯 Ananya’s bird-song app was tested on 50 new bird songs and got 28 right. What is its accuracy in percent?
  26. 26.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  28. 28.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
  29. 29.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  31. 31.📦 Nisha collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  32. 32.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  33. 33.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
  34. 34.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  35. 35.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  36. 36.❌ Rohan’s fruit sorter was tested on 50 new fruit photos and got 43 right. How many did it get wrong?
  37. 37.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
  38. 38.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 17 right. How many percentage points more accurate is Model A?
  39. 39.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 80 new bird songs, how many should it get right?
  40. 40.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?

Answer key

  1. correct ÷ total × 100
  2. 96
  3. choose what to sort
  4. gather many examples
  5. work out the accuracy
  6. try unseen examples
  7. tag each photo by type
  8. collect fruit photos
  9. 9
  10. 9
  11. gather many examples
  12. to see if it learned
  13. paper and examples
  14. set aside test photos
  15. 20
  16. gather many examples
  17. 40
  18. more labelled examples
  19. train the model
  20. collect fruit photos
  21. 55
  22. 4
  23. 64
  24. 2
  25. 56
  26. 48
  27. test on new photos
  28. pick a question to solve
  29. try unseen examples
  30. test on new photos
  31. 72
  32. 10
  33. 36
  34. 100
  35. 24
  36. 7
  37. gather many examples
  38. 32
  39. 48
  40. 68

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