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AI for students lesson 23: Design a tiny AI project · Set 265 · 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.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
  2. 2.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  3. 3.📦 Kabir collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  4. 4.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  5. 5.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  6. 6.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 46 right and Model B got 37 right. How many percentage points more accurate is Model A?
  7. 7.📋 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
  8. 8.❌ Meera’s leaf identifier was tested on 24 new leaf photos and got 19 right. How many did it get wrong?
  9. 9.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
  11. 11.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
  12. 12.⚖️ 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?
  13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  14. 14.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
  15. 15.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  16. 16.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
  17. 17.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  18. 18.🎯 Saanvi’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
  20. 20.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  21. 21.🎯 Saanvi’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  22. 22.📦 Ishaan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
  24. 24.📦 Saanvi collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  25. 25.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
  26. 26.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  27. 27.📋 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
  28. 28.❌ Ananya’s handwriting reader was tested on 23 new handwritten letters and got 21 right. How many did it get wrong?
  29. 29.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
  30. 30.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
  31. 31.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
  32. 32.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
  33. 33.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
  34. 34.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  35. 35.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 30 right. How many percentage points more accurate is Model A?
  36. 36.❌ Vihaan’s recycling sorter was tested on 15 new waste photos and got 14 right. How many did it get wrong?
  37. 37.📋 Planning an AI project: which comes first — tag each photo by type or train the model? (a) tag each photo by type (b) train the model
  38. 38.🎯 Aarav’s bird-song app is 70% accurate. If it is tested on 90 new bird songs, how many should it get right?
  39. 39.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples

Answer key

  1. 14
  2. 75
  3. 64
  4. correct ÷ total × 100
  5. 20
  6. 18
  7. split train and test
  8. 5
  9. 50
  10. collect fruit photos
  11. gather many examples
  12. 20
  13. to see if it learned
  14. 100
  15. 40
  16. 4
  17. 40
  18. 100
  19. tag each photo by type
  20. 56
  21. 75
  22. 104
  23. 56
  24. 88
  25. 10
  26. 80
  27. split train and test
  28. 2
  29. more labelled examples
  30. 100
  31. split train and test
  32. let it learn patterns
  33. paper and examples
  34. label each example
  35. 4
  36. 1
  37. tag each photo by type
  38. 63
  39. 20
  40. try unseen examples

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