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AI for students lesson 23: Design a tiny AI project · Set 706 · 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 see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  2. 2.📋 Planning an AI project: which comes first — tag each photo by type or collect fruit photos? (a) tag each photo by type (b) collect fruit photos
  3. 3.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  4. 4.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
  5. 5.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  6. 6.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  7. 7.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  8. 8.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  9. 9.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  10. 10.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  11. 11.❌ Kabir’s fruit sorter was tested on 37 new fruit photos and got 32 right. How many did it get wrong?
  12. 12.❌ Rohan’s handwriting reader was tested on 31 new handwritten letters and got 28 right. How many did it get wrong?
  13. 13.📦 Tara collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  14. 14.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
  15. 15.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 40 right and Model B got 30 right. How many percentage points more accurate is Model A?
  16. 16.❌ Ishaan’s recycling sorter was tested on 39 new waste photos and got 31 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
  18. 18.🎯 Rohan’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  19. 19.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
  20. 20.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  22. 22.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  23. 23.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
  24. 24.📦 Aarav collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  25. 25.🎯 Arjun’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
  27. 27.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  29. 29.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
  31. 31.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
  32. 32.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 80 new messages, how many should it get right?
  33. 33.🎯 Kabir’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
  34. 34.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Arjun’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
  36. 36.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
  37. 37.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
  39. 39.❌ Vihaan’s spam spotter was tested on 19 new messages and got 12 right. How many did it get wrong?
  40. 40.📦 Ishaan collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. to see if it learned
  2. collect fruit photos
  3. try unseen examples
  4. pick a question to solve
  5. test on new photos
  6. calculate percent right
  7. 50
  8. test on new photos
  9. label each example
  10. try unseen examples
  11. 5
  12. 3
  13. 104
  14. paper and examples
  15. 20
  16. 8
  17. choose what to sort
  18. 30
  19. 50
  20. 15
  21. train the model
  22. train the model
  23. recheck every label
  24. 136
  25. 40
  26. collect fruit photos
  27. 60
  28. work out the accuracy
  29. 80
  30. gather many examples
  31. correct bad labels
  32. 64
  33. 100
  34. 12
  35. 88
  36. tag each photo by type
  37. 72
  38. choose what to sort
  39. 7
  40. 120

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