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AI for students lesson 23: Design a tiny AI project · Set 924 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
  2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
  3. 3.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  4. 4.📦 Meera collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  5. 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  6. 6.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
  7. 7.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
  9. 9.❌ Tara’s leaf identifier was tested on 38 new leaf photos and got 33 right. How many did it get wrong?
  10. 10.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  11. 11.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
  12. 12.🎯 Saanvi’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
  13. 13.❌ Meera’s fruit sorter was tested on 28 new fruit photos and got 24 right. How many did it get wrong?
  14. 14.🎯 Kabir’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
  15. 15.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
  16. 16.📋 Planning an AI project: which comes first — let it learn patterns or recheck every label? (a) let it learn patterns (b) recheck every label
  17. 17.🎯 Arjun’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  18. 18.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  19. 19.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  20. 20.❌ Vihaan’s leaf identifier was tested on 41 new leaf photos and got 38 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — let it learn patterns or choose what to sort? (a) let it learn patterns (b) choose what to sort
  22. 22.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
  23. 23.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
  24. 24.📦 Tara collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  25. 25.❌ Arjun’s leaf identifier was tested on 38 new leaf photos and got 30 right. How many did it get wrong?
  26. 26.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
  27. 27.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
  29. 29.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  30. 30.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  31. 31.❌ Meera’s handwriting reader was tested on 46 new handwritten letters and got 37 right. How many did it get wrong?
  32. 32.🎯 Saanvi’s leaf identifier is 70% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  33. 33.❌ Diya’s bird-song app was tested on 29 new bird songs and got 25 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  35. 35.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  36. 36.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 43 right and Model B got 26 right. How many percentage points more accurate is Model A?
  38. 38.📋 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
  39. 39.🎯 Aarav’s handwriting reader was tested on 10 new handwritten letters and got 7 right. What is its accuracy in percent?
  40. 40.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?

Answer key

  1. to see if it learned
  2. paper and examples
  3. calculate percent right
  4. 72
  5. calculate percent right
  6. choose what to sort
  7. 54
  8. more labelled examples
  9. 5
  10. correct bad labels
  11. 12
  12. 48
  13. 4
  14. 100
  15. 25
  16. recheck every label
  17. 60
  18. 24
  19. try unseen examples
  20. 3
  21. choose what to sort
  22. choose what to sort
  23. 10
  24. 40
  25. 8
  26. pick a question to solve
  27. 52
  28. pick a question to solve
  29. 40
  30. let it learn patterns
  31. 9
  32. 14
  33. 4
  34. collect fruit photos
  35. 5
  36. 75
  37. 34
  38. let it learn patterns
  39. 70
  40. 90

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