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AI for students lesson 23: Design a tiny AI project · Set 896 · 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 — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
  2. 2.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
  3. 3.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
  4. 4.🧪 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
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to save paper (d) to make it bigger
  6. 6.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  7. 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 37 right. How many percentage points more accurate is Model A?
  8. 8.🎯 Arjun’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  10. 10.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  11. 11.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  12. 12.🎯 Nisha’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  13. 13.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
  14. 14.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) fewer examples (d) a louder speaker
  15. 15.📦 Rohan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  16. 16.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  17. 17.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  18. 18.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  19. 19.❌ Aarav’s leaf identifier was tested on 23 new leaf photos and got 18 right. How many did it get wrong?
  20. 20.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  21. 21.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 18 right and Model B got 14 right. How many percentage points more accurate is Model A?
  22. 22.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
  23. 23.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  24. 24.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
  25. 25.❌ Saanvi’s leaf identifier was tested on 23 new leaf photos and got 14 right. How many did it get wrong?
  26. 26.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 47 right. How many percentage points more accurate is Model A?
  27. 27.📦 Aarav collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  28. 28.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
  29. 29.🎯 Nisha’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  31. 31.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  32. 32.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  33. 33.❌ Aarav’s spam spotter was tested on 34 new messages and got 32 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  36. 36.📦 Ishaan collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  37. 37.📦 Tara collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos
  39. 39.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  40. 40.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos

Answer key

  1. collect fruit photos
  2. 85
  3. recheck every label
  4. paper and examples
  5. to see if it learned
  6. tag each photo by type
  7. 20
  8. 60
  9. calculate percent right
  10. correct ÷ total × 100
  11. 10
  12. 7
  13. 100
  14. more labelled examples
  15. 96
  16. correct bad labels
  17. train the model
  18. collect fruit photos
  19. 5
  20. let it learn patterns
  21. 16
  22. 35
  23. tag each photo by type
  24. 65
  25. 9
  26. 6
  27. 32
  28. 72
  29. 100
  30. split train and test
  31. 49
  32. 100
  33. 2
  34. split train and test
  35. train the model
  36. 40
  37. 40
  38. set aside test photos
  39. try unseen examples
  40. set aside test photos

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