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AI for students lesson 23: Design a tiny AI project · Set 695 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  2. 2.🎯 Meera’s leaf identifier was tested on 25 new leaf photos and got 17 right. What is its accuracy in percent?
  3. 3.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  4. 4.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  5. 5.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  6. 6.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  7. 7.🧪 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 save paper (d) to make it bigger
  8. 8.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  9. 9.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  10. 10.❌ Rohan’s bird-song app was tested on 15 new bird songs and got 14 right. How many did it get wrong?
  11. 11.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
  12. 12.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
  13. 13.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  14. 14.⚖️ 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?
  15. 15.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  16. 16.📦 Ishaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  17. 17.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  18. 18.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  19. 19.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
  20. 20.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  21. 21.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
  22. 22.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
  23. 23.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 34 right and Model B got 33 right. How many percentage points more accurate is Model A?
  24. 24.📦 Nisha collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  25. 25.❌ Vihaan’s bird-song app was tested on 49 new bird songs and got 41 right. How many did it get wrong?
  26. 26.📦 Nisha collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  27. 27.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 22 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
  29. 29.📦 Rohan collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📦 Ishaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
  32. 32.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
  33. 33.❌ Tara’s bird-song app was tested on 40 new bird songs and got 36 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  36. 36.🎯 Kabir’s handwriting reader is 70% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  37. 37.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  38. 38.❌ Meera’s bird-song app was tested on 37 new bird songs and got 35 right. How many did it get wrong?
  39. 39.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  40. 40.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?

Answer key

  1. more labelled examples
  2. 68
  3. 10
  4. train the model
  5. correct bad labels
  6. work out the accuracy
  7. to see if it learned
  8. set aside test photos
  9. train the model
  10. 1
  11. pick a question to solve
  12. 2
  13. 100
  14. 8
  15. correct ÷ total × 100
  16. 160
  17. calculate percent right
  18. 8
  19. tag each photo by type
  20. work out the accuracy
  21. choose what to sort
  22. paper and examples
  23. 2
  24. 120
  25. 8
  26. 80
  27. 88
  28. correct bad labels
  29. 88
  30. 32
  31. label each example
  32. collect fruit photos
  33. 4
  34. let it learn patterns
  35. calculate percent right
  36. 56
  37. 50
  38. 2
  39. 35
  40. 20

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