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AI for students lesson 23: Design a tiny AI project · Set 366 · 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.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
  2. 2.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
  4. 4.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  5. 5.📦 Kabir collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  6. 6.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  7. 7.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  8. 8.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  9. 9.📦 Arjun collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  10. 10.❌ Diya’s recycling sorter was tested on 17 new waste photos and got 12 right. How many did it get wrong?
  11. 11.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
  12. 12.❌ Rohan’s spam spotter was tested on 41 new messages and got 33 right. How many did it get wrong?
  13. 13.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 17 right. What is its accuracy in percent?
  14. 14.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
  15. 15.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
  16. 16.📦 Ananya collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  17. 17.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  18. 18.📦 Arjun collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  19. 19.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
  20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  22. 22.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  23. 23.🎯 Meera’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
  24. 24.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  25. 25.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  26. 26.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  28. 28.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  30. 30.🎯 Vihaan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  31. 31.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  32. 32.❌ Nisha’s fruit sorter was tested on 31 new fruit photos and got 23 right. How many did it get wrong?
  33. 33.📦 Diya collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  34. 34.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  35. 35.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 24 right and Model B got 17 right. How many percentage points more accurate is Model A?
  36. 36.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
  37. 37.❌ Nisha’s recycling sorter was tested on 19 new waste photos and got 18 right. How many did it get wrong?
  38. 38.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  39. 39.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
  40. 40.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right

Answer key

  1. pick a question to solve
  2. recheck every label
  3. more labelled examples
  4. 20
  5. 128
  6. 20
  7. correct ÷ total × 100
  8. split train and test
  9. 144
  10. 5
  11. 80
  12. 8
  13. 68
  14. 58
  15. 8
  16. 56
  17. 49
  18. 40
  19. gather many examples
  20. 25
  21. collect fruit photos
  22. 50
  23. 60
  24. paper and examples
  25. 50
  26. 80
  27. try unseen examples
  28. set aside test photos
  29. train the model
  30. 7
  31. 50
  32. 8
  33. 96
  34. train the model
  35. 28
  36. choose what to sort
  37. 1
  38. train the model
  39. let it learn patterns
  40. calculate percent right

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