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AI for students lesson 23: Design a tiny AI project · Set 601 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
  2. 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  3. 3.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
  4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  5. 5.🎯 Tara’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
  6. 6.❌ Aarav’s leaf identifier was tested on 29 new leaf photos and got 25 right. How many did it get wrong?
  7. 7.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 19 right. What is its accuracy in percent?
  8. 8.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  9. 9.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
  10. 10.❌ Nisha’s handwriting reader was tested on 44 new handwritten letters and got 38 right. How many did it get wrong?
  11. 11.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  12. 12.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
  13. 13.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
  14. 14.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 43 right. What is its accuracy in percent?
  15. 15.📋 Planning an AI project: which comes first — set aside test photos or label each example? (a) set aside test photos (b) label each example
  16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  17. 17.❌ Kabir’s leaf identifier was tested on 43 new leaf photos and got 40 right. How many did it get wrong?
  18. 18.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 27 right. What is its accuracy in percent?
  19. 19.📋 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
  20. 20.❌ Vihaan’s handwriting reader was tested on 25 new handwritten letters and got 20 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  22. 22.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Ishaan’s spam spotter was tested on 50 new messages and got 26 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  25. 25.🎯 Rohan’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
  26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  27. 27.📦 Arjun collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  28. 28.❌ Aarav’s leaf identifier was tested on 12 new leaf photos and got 11 right. How many did it get wrong?
  29. 29.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  30. 30.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  31. 31.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 37 right. What is its accuracy in percent?
  32. 32.🎯 Aarav’s spam spotter is 70% accurate. If it is tested on 80 new messages, how many should it get right?
  33. 33.📦 Nisha collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — calculate percent right or set aside test photos? (a) calculate percent right (b) set aside test photos
  36. 36.📋 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
  37. 37.📦 Vihaan collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  38. 38.📦 Ananya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples

Answer key

  1. more labelled examples
  2. correct ÷ total × 100
  3. correct bad labels
  4. 10
  5. 54
  6. 4
  7. 76
  8. correct bad labels
  9. gather many examples
  10. 6
  11. 20
  12. recheck every label
  13. 18
  14. 86
  15. label each example
  16. to see if it learned
  17. 3
  18. 54
  19. calculate percent right
  20. 5
  21. work out the accuracy
  22. 30
  23. 52
  24. split train and test
  25. 40
  26. 20
  27. 128
  28. 1
  29. train the model
  30. test on new photos
  31. 74
  32. 56
  33. 144
  34. 100
  35. set aside test photos
  36. pick a question to solve
  37. 40
  38. 120
  39. 60
  40. choose what to sort

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