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AI for students lesson 23: Design a tiny AI project · Set 629 · 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 — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
  2. 2.📋 Planning an AI project: which comes first — collect fruit photos or choose what to sort? (a) collect fruit photos (b) choose what to sort
  3. 3.❌ Nisha’s fruit sorter was tested on 28 new fruit photos and got 27 right. How many did it get wrong?
  4. 4.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  5. 5.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
  6. 6.⚖️ 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?
  7. 7.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels
  8. 8.❌ Ishaan’s handwriting reader was tested on 14 new handwritten letters and got 13 right. How many did it get wrong?
  9. 9.📦 Arjun collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Ishaan’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  12. 12.📦 Ishaan collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  13. 13.❌ Diya’s leaf identifier was tested on 49 new leaf photos and got 41 right. How many did it get wrong?
  14. 14.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  15. 15.🧪 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
  16. 16.📦 Arjun collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  17. 17.🎯 Diya’s spam spotter is 50% accurate. If it is tested on 40 new messages, how many should it get right?
  18. 18.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  19. 19.📋 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
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  21. 21.🎯 Tara’s fruit sorter is 60% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  22. 22.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  23. 23.🎯 Diya’s handwriting reader was tested on 50 new handwritten letters and got 40 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  25. 25.❌ Kabir’s spam spotter was tested on 18 new messages and got 17 right. How many did it get wrong?
  26. 26.🎯 Ananya’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
  27. 27.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 37 right and Model B got 28 right. How many percentage points more accurate is Model A?
  28. 28.🎯 Saanvi’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  29. 29.❌ Rohan’s recycling sorter was tested on 38 new waste photos and got 32 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
  31. 31.🧪 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 faster (d) to make it bigger
  32. 32.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
  33. 33.🎯 Arjun’s spam spotter is 50% accurate. If it is tested on 10 new messages, how many should it get right?
  34. 34.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
  35. 35.🎯 Kabir’s bird-song app was tested on 25 new bird songs and got 18 right. What is its accuracy in percent?
  36. 36.📋 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
  37. 37.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
  38. 38.❌ Nisha’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
  39. 39.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  40. 40.❌ Ananya’s handwriting reader was tested on 33 new handwritten letters and got 29 right. How many did it get wrong?

Answer key

  1. collect fruit photos
  2. choose what to sort
  3. 1
  4. correct bad labels
  5. correct ÷ total × 100
  6. 10
  7. collect fruit photos
  8. 1
  9. 80
  10. 25
  11. 80
  12. 112
  13. 8
  14. 100
  15. paper and examples
  16. 136
  17. 20
  18. test on new photos
  19. tag each photo by type
  20. calculate percent right
  21. 42
  22. 18
  23. 80
  24. tag each photo by type
  25. 1
  26. 18
  27. 18
  28. 16
  29. 6
  30. tag each photo by type
  31. to see if it learned
  32. 64
  33. 5
  34. 56
  35. 72
  36. set aside test photos
  37. train the model
  38. 4
  39. collect fruit photos
  40. 4

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