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AI for students lesson 23: Design a tiny AI project · Set 232 · 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.❌ Ananya’s bird-song app was tested on 41 new bird songs and got 39 right. How many did it get wrong?
  2. 2.🎯 Aarav’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  4. 4.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 16 right. What is its accuracy in percent?
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  6. 6.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
  7. 7.❌ Rohan’s recycling sorter was tested on 38 new waste photos and got 31 right. How many did it get wrong?
  8. 8.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  9. 9.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
  10. 10.📋 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
  11. 11.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  12. 12.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
  13. 13.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 43 right and Model B got 25 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Ananya’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
  16. 16.🧪 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
  17. 17.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
  18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
  19. 19.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  20. 20.🎯 Kabir’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  21. 21.📦 Saanvi collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  22. 22.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
  23. 23.🎯 Ishaan’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  24. 24.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  26. 26.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
  27. 27.📋 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
  28. 28.🎯 Ananya’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  29. 29.📋 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
  30. 30.❌ Aarav’s handwriting reader was tested on 49 new handwritten letters and got 42 right. How many did it get wrong?
  31. 31.📦 Meera collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  32. 32.❌ Vihaan’s fruit sorter was tested on 35 new fruit photos and got 33 right. How many did it get wrong?
  33. 33.❌ Kabir’s fruit sorter was tested on 22 new fruit photos and got 16 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  35. 35.❌ Diya’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
  36. 36.❌ Meera’s recycling sorter was tested on 17 new waste photos and got 13 right. How many did it get wrong?
  37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 40 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
  39. 39.❌ Vihaan’s handwriting reader was tested on 36 new handwritten letters and got 32 right. How many did it get wrong?
  40. 40.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test

Answer key

  1. 2
  2. 60
  3. more labelled examples
  4. 80
  5. to see if it learned
  6. correct ÷ total × 100
  7. 7
  8. train the model
  9. recheck every label
  10. work out the accuracy
  11. 10
  12. 44
  13. 75
  14. 36
  15. 72
  16. paper and examples
  17. tag each photo by type
  18. 20
  19. label each example
  20. 5
  21. 48
  22. 76
  23. 6
  24. 4
  25. tag each photo by type
  26. let it learn patterns
  27. let it learn patterns
  28. 14
  29. choose what to sort
  30. 7
  31. 128
  32. 2
  33. 6
  34. calculate percent right
  35. 4
  36. 4
  37. 6
  38. gather many examples
  39. 4
  40. correct bad labels

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students