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AI for students lesson 23: Design a tiny AI project · Set 45 · 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 — test on new photos or train the model? (a) test on new photos (b) train the model
  2. 2.📋 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
  3. 3.❌ Meera’s recycling sorter was tested on 13 new waste photos and got 10 right. How many did it get wrong?
  4. 4.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
  6. 6.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
  7. 7.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  8. 8.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
  9. 9.📋 Planning an AI project: which comes first — tag each photo by type or choose what to sort? (a) tag each photo by type (b) choose what to sort
  10. 10.📋 Planning an AI project: which comes first — set aside test photos or tag each photo by type? (a) set aside test photos (b) tag each photo by type
  11. 11.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  12. 12.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
  13. 13.📋 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
  14. 14.⚖️ 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?
  15. 15.📦 Arjun collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  16. 16.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
  17. 17.🎯 Vihaan’s recycling sorter is 80% accurate. If it is tested on 80 new waste photos, how many should it get right?
  18. 18.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  19. 19.🎯 Meera’s bird-song app was tested on 50 new bird songs and got 44 right. What is its accuracy in percent?
  20. 20.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
  21. 21.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  23. 23.🎯 Diya’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  24. 24.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
  25. 25.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  26. 26.🎯 Aarav’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  28. 28.❌ Kabir’s handwriting reader was tested on 21 new handwritten letters and got 13 right. How many did it get wrong?
  29. 29.❌ Kabir’s bird-song app was tested on 40 new bird songs and got 39 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
  31. 31.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
  32. 32.❌ Kabir’s fruit sorter was tested on 42 new fruit photos and got 36 right. How many did it get wrong?
  33. 33.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
  35. 35.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
  36. 36.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
  38. 38.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
  39. 39.📋 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
  40. 40.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?

Answer key

  1. train the model
  2. work out the accuracy
  3. 3
  4. 10
  5. tag each photo by type
  6. 92
  7. label each example
  8. gather many examples
  9. choose what to sort
  10. tag each photo by type
  11. 10
  12. 5
  13. let it learn patterns
  14. 10
  15. 72
  16. recheck every label
  17. 64
  18. train the model
  19. 88
  20. collect fruit photos
  21. calculate percent right
  22. to see if it learned
  23. 100
  24. paper and examples
  25. correct ÷ total × 100
  26. 60
  27. test on new photos
  28. 8
  29. 1
  30. label each example
  31. tag each photo by type
  32. 6
  33. 10
  34. choose what to sort
  35. pick a question to solve
  36. 100
  37. tag each photo by type
  38. choose what to sort
  39. correct bad labels
  40. 10

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