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AI for students lesson 23: Design a tiny AI project · Set 512 · 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.🎯 Arjun’s spam spotter was tested on 25 new messages and got 21 right. What is its accuracy in percent?
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled 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.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  5. 5.❌ Ishaan’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
  6. 6.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  7. 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 44 right and Model B got 38 right. How many percentage points more accurate is Model A?
  8. 8.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  9. 9.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
  12. 12.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  13. 13.🎯 Ananya’s spam spotter was tested on 50 new messages and got 34 right. What is its accuracy in percent?
  14. 14.📋 Planning an AI project: which comes first — choose what to sort or collect fruit photos? (a) choose what to sort (b) collect fruit photos
  15. 15.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  16. 16.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  17. 17.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  18. 18.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 41 right and Model B got 26 right. How many percentage points more accurate is Model A?
  19. 19.🎯 Nisha’s bird-song app is 50% accurate. If it is tested on 10 new bird songs, how many should it get right?
  20. 20.📦 Meera collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  21. 21.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
  22. 22.❌ Meera’s fruit sorter was tested on 22 new fruit photos and got 21 right. How many did it get wrong?
  23. 23.📋 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
  24. 24.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 13 right. How many percentage points more accurate is Model A?
  25. 25.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  26. 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 35 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  28. 28.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
  29. 29.🎯 Ananya’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
  30. 30.🧪 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 make it faster (d) to save paper
  31. 31.❌ Saanvi’s leaf identifier was tested on 24 new leaf photos and got 16 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
  33. 33.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
  34. 34.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
  35. 35.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  36. 36.📦 Tara 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.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  38. 38.❌ Ananya’s leaf identifier was tested on 16 new leaf photos and got 10 right. How many did it get wrong?
  39. 39.🎯 Tara’s recycling sorter was tested on 10 new waste photos and got 10 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos

Answer key

  1. 84
  2. more labelled examples
  3. calculate percent right
  4. 90
  5. 8
  6. 100
  7. 12
  8. split train and test
  9. 50
  10. set aside test photos
  11. paper and examples
  12. 63
  13. 68
  14. choose what to sort
  15. train the model
  16. 5
  17. correct ÷ total × 100
  18. 30
  19. 5
  20. 128
  21. 90
  22. 1
  23. let it learn patterns
  24. 48
  25. 112
  26. 28
  27. test on new photos
  28. 12
  29. 63
  30. to see if it learned
  31. 8
  32. split train and test
  33. correct bad labels
  34. choose what to sort
  35. gather many examples
  36. 40
  37. 7
  38. 6
  39. 100
  40. gather many examples

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