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AI for students lesson 23: Design a tiny AI project · Set 752 · 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.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
  3. 3.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
  4. 4.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
  5. 5.🧪 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
  6. 6.🎯 Meera’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
  7. 7.🎯 Ishaan’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
  8. 8.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 13 right. What is its accuracy in percent?
  9. 9.📦 Aarav collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  11. 11.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
  13. 13.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  14. 14.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
  15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  17. 17.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  18. 18.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
  19. 19.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 35 right and Model B got 26 right. How many percentage points more accurate is Model A?
  20. 20.📦 Kabir collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.📦 Aarav collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  22. 22.📦 Vihaan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  23. 23.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  24. 24.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  25. 25.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  26. 26.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  28. 28.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
  29. 29.❌ Arjun’s spam spotter was tested on 22 new messages and got 20 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
  31. 31.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
  32. 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  33. 33.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  34. 34.❌ Saanvi’s bird-song app was tested on 44 new bird songs and got 41 right. How many did it get wrong?
  35. 35.❌ Meera’s handwriting reader was tested on 15 new handwritten letters and got 13 right. How many did it get wrong?
  36. 36.📋 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
  37. 37.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  38. 38.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  39. 39.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
  40. 40.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy

Answer key

  1. 50
  2. paper and examples
  3. label each example
  4. pick a question to solve
  5. more labelled examples
  6. 100
  7. 65
  8. 65
  9. 72
  10. train the model
  11. 45
  12. gather many examples
  13. tag each photo by type
  14. 12
  15. to see if it learned
  16. set aside test photos
  17. let it learn patterns
  18. gather many examples
  19. 18
  20. 160
  21. 144
  22. 88
  23. label each example
  24. 60
  25. 8
  26. 80
  27. work out the accuracy
  28. gather many examples
  29. 2
  30. correct bad labels
  31. 44
  32. 10
  33. split train and test
  34. 3
  35. 2
  36. work out the accuracy
  37. correct bad labels
  38. 40
  39. correct ÷ total × 100
  40. train the model

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