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AI for students lesson 23: Design a tiny AI project · Set 625 · 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.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  2. 2.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
  3. 3.❌ Aarav’s handwriting reader was tested on 17 new handwritten letters and got 15 right. How many did it get wrong?
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  5. 5.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 17 right. What is its accuracy in percent?
  6. 6.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  7. 7.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
  8. 8.📋 Planning an AI project: which comes first — choose what to sort or set aside test photos? (a) choose what to sort (b) set aside test photos
  9. 9.❌ Arjun’s bird-song app was tested on 48 new bird songs and got 45 right. How many did it get wrong?
  10. 10.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
  11. 11.📦 Vihaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  12. 12.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 27 right and Model B got 25 right. How many percentage points more accurate is Model A?
  13. 13.❌ Nisha’s spam spotter was tested on 24 new messages and got 17 right. How many did it get wrong?
  14. 14.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  15. 15.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  16. 16.🎯 Vihaan’s spam spotter is 80% accurate. If it is tested on 20 new messages, how many should it get right?
  17. 17.❌ Vihaan’s recycling sorter was tested on 50 new waste photos and got 43 right. How many did it get wrong?
  18. 18.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  19. 19.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
  20. 20.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 18 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  22. 22.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
  23. 23.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  24. 24.📦 Meera collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  25. 25.🎯 Arjun’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
  26. 26.🎯 Arjun’s handwriting reader was tested on 50 new handwritten letters and got 25 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — test on new photos or choose what to sort? (a) test on new photos (b) choose what to sort
  28. 28.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
  29. 29.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 50 new messages, how many should it get right?
  30. 30.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 20 right. What is its accuracy in percent?
  31. 31.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  32. 32.📋 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
  33. 33.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  34. 34.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 11 right. How many percentage points more accurate is Model A?
  35. 35.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  36. 36.❌ Nisha’s leaf identifier was tested on 24 new leaf photos and got 21 right. How many did it get wrong?
  37. 37.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 47 right and Model B got 41 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
  39. 39.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  40. 40.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again

Answer key

  1. 20
  2. choose what to sort
  3. 2
  4. to see if it learned
  5. 85
  6. tag each photo by type
  7. 60
  8. choose what to sort
  9. 3
  10. paper and examples
  11. 32
  12. 4
  13. 7
  14. 32
  15. let it learn patterns
  16. 16
  17. 7
  18. more labelled examples
  19. 95
  20. 24
  21. train the model
  22. split train and test
  23. correct ÷ total × 100
  24. 152
  25. 85
  26. 50
  27. choose what to sort
  28. gather many examples
  29. 35
  30. 100
  31. split train and test
  32. work out the accuracy
  33. pick a question to solve
  34. 25
  35. work out the accuracy
  36. 3
  37. 12
  38. label each example
  39. let it learn patterns
  40. collect fruit photos

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