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AI for students lesson 23: Design a tiny AI project · Set 571 · 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.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  2. 2.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
  3. 3.🎯 Ishaan’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
  4. 4.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
  5. 5.🎯 Tara’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
  6. 6.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
  7. 7.📦 Aarav collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  8. 8.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
  9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
  10. 10.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
  11. 11.🎯 Rohan’s leaf identifier was tested on 50 new leaf photos and got 45 right. What is its accuracy in percent?
  12. 12.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
  13. 13.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
  14. 14.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
  15. 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
  16. 16.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
  17. 17.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
  18. 18.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  19. 19.📦 Kabir collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  20. 20.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  21. 21.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
  22. 22.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  23. 23.❌ Nisha’s fruit sorter was tested on 24 new fruit photos and got 22 right. How many did it get wrong?
  24. 24.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
  25. 25.🎯 Rohan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
  26. 26.🎯 Rohan’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  27. 27.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  29. 29.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 100 new messages, how many should it get right?
  30. 30.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
  31. 31.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
  32. 32.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
  33. 33.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 9 right. What is its accuracy in percent?
  34. 34.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 25 right. What is its accuracy in percent?
  35. 35.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  36. 36.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 13 right and Model B got 10 right. How many percentage points more accurate is Model A?
  37. 37.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  38. 38.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
  39. 39.❌ Aarav’s leaf identifier was tested on 17 new leaf photos and got 10 right. How many did it get wrong?
  40. 40.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?

Answer key

  1. 30
  2. label each example
  3. 25
  4. 60
  5. 7
  6. set aside test photos
  7. 72
  8. pick a question to solve
  9. to see if it learned
  10. train the model
  11. 90
  12. more labelled examples
  13. set aside test photos
  14. collect fruit photos
  15. 45
  16. choose what to sort
  17. collect fruit photos
  18. calculate percent right
  19. 96
  20. work out the accuracy
  21. correct ÷ total × 100
  22. paper and examples
  23. 2
  24. 15
  25. 65
  26. 15
  27. 60
  28. train the model
  29. 90
  30. 80
  31. 4
  32. recheck every label
  33. 90
  34. 100
  35. 100
  36. 15
  37. set aside test photos
  38. pick a question to solve
  39. 7
  40. 42

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