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AI for students lesson 23: Design a tiny AI project · Set 23 · 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 — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  2. 2.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
  3. 3.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  4. 4.🎯 Meera’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
  6. 6.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  7. 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  8. 8.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  9. 9.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  11. 11.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
  12. 12.❌ Diya’s recycling sorter was tested on 21 new waste photos and got 16 right. How many did it get wrong?
  13. 13.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it bigger (d) to make it faster
  15. 15.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
  16. 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  17. 17.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  18. 18.🎯 Tara’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  21. 21.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
  22. 22.📦 Arjun collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  23. 23.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
  24. 24.🎯 Aarav’s recycling sorter was tested on 25 new waste photos and got 21 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  26. 26.📋 Planning an AI project: which comes first — recheck every label or try unseen examples? (a) recheck every label (b) try unseen examples
  27. 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 28 right. How many percentage points more accurate is Model A?
  28. 28.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  29. 29.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
  31. 31.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  32. 32.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
  33. 33.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  34. 34.📋 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
  35. 35.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
  36. 36.📦 Rohan collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  37. 37.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  38. 38.🎯 Meera’s spam spotter was tested on 50 new messages and got 39 right. What is its accuracy in percent?
  39. 39.📦 Ananya collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy

Answer key

  1. calculate percent right
  2. 60
  3. 75
  4. 60
  5. pick a question to solve
  6. 48
  7. correct ÷ total × 100
  8. 5
  9. 80
  10. set aside test photos
  11. 100
  12. 5
  13. 152
  14. to see if it learned
  15. set aside test photos
  16. calculate percent right
  17. correct bad labels
  18. 64
  19. try unseen examples
  20. let it learn patterns
  21. 10
  22. 80
  23. tag each photo by type
  24. 84
  25. test on new photos
  26. recheck every label
  27. 34
  28. train the model
  29. 40
  30. choose what to sort
  31. paper and examples
  32. 10
  33. 20
  34. work out the accuracy
  35. 25
  36. 152
  37. 75
  38. 78
  39. 160
  40. test on new photos

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