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AI for students lesson 23: Design a tiny AI project · Set 192 · 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.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  2. 2.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  3. 3.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
  4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) total − correct (d) correct + total
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  6. 6.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
  7. 7.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  8. 8.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  9. 9.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  10. 10.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
  11. 11.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 46 right. How many percentage points more accurate is Model A?
  12. 12.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  13. 13.❌ Kabir’s bird-song app was tested on 24 new bird songs and got 17 right. How many did it get wrong?
  14. 14.📦 Vihaan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  15. 15.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
  16. 16.🎯 Ishaan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  17. 17.🎯 Kabir’s handwriting reader is 90% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  18. 18.🎯 Aarav’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  20. 20.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  21. 21.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
  22. 22.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  25. 25.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  26. 26.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  28. 28.🎯 Saanvi’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
  29. 29.❌ Aarav’s spam spotter was tested on 36 new messages and got 27 right. How many did it get wrong?
  30. 30.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
  31. 31.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  32. 32.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  33. 33.🎯 Saanvi’s spam spotter was tested on 50 new messages and got 50 right. What is its accuracy in percent?
  34. 34.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  35. 35.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  36. 36.❌ Ishaan’s leaf identifier was tested on 22 new leaf photos and got 21 right. How many did it get wrong?
  37. 37.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  38. 38.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?
  39. 39.❌ Kabir’s bird-song app was tested on 32 new bird songs and got 27 right. How many did it get wrong?
  40. 40.🎯 Rohan’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?

Answer key

  1. 160
  2. correct bad labels
  3. choose what to sort
  4. correct ÷ total × 100
  5. to see if it learned
  6. pick a question to solve
  7. calculate percent right
  8. train the model
  9. gather many examples
  10. 70
  11. 2
  12. 30
  13. 7
  14. 104
  15. choose what to sort
  16. 80
  17. 18
  18. 50
  19. recheck every label
  20. 45
  21. paper and examples
  22. 5
  23. 10
  24. collect fruit photos
  25. calculate percent right
  26. 50
  27. train the model
  28. 80
  29. 9
  30. 30
  31. try unseen examples
  32. 60
  33. 100
  34. more labelled examples
  35. collect fruit photos
  36. 1
  37. 12
  38. 72
  39. 5
  40. 80

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