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AI for students lesson 23: Design a tiny AI project · Set 772 · 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.❌ Nisha’s spam spotter was tested on 16 new messages and got 13 right. How many did it get wrong?
  2. 2.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 18 right. What is its accuracy in percent?
  3. 3.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  4. 4.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  5. 5.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  6. 6.🎯 Ananya’s recycling sorter is 60% accurate. If it is tested on 100 new waste photos, how many should it get right?
  7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
  8. 8.📦 Ananya collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  9. 9.📦 Arjun collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  11. 11.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
  12. 12.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  13. 13.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  14. 14.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  15. 15.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
  16. 16.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
  17. 17.📦 Arjun collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Ishaan’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
  20. 20.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  21. 21.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  22. 22.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  23. 23.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
  24. 24.❌ Meera’s recycling sorter was tested on 29 new waste photos and got 24 right. How many did it get wrong?
  25. 25.🎯 Meera’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  27. 27.🎯 Rohan’s handwriting reader is 70% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  28. 28.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  29. 29.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  30. 30.📋 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
  31. 31.❌ Tara’s handwriting reader was tested on 40 new handwritten letters and got 34 right. How many did it get wrong?
  32. 32.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  33. 33.📦 Nisha collected 160 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  34. 34.📦 Kabir collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  36. 36.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  37. 37.🎯 Vihaan’s bird-song app is 60% accurate. If it is tested on 10 new bird songs, how many should it get right?
  38. 38.❌ Ishaan’s handwriting reader was tested on 19 new handwritten letters and got 18 right. How many did it get wrong?
  39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  40. 40.📦 Rohan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 3
  2. 90
  3. train the model
  4. tag each photo by type
  5. correct ÷ total × 100
  6. 60
  7. more labelled examples
  8. 32
  9. 160
  10. recheck every label
  11. correct bad labels
  12. 75
  13. work out the accuracy
  14. 100
  15. tag each photo by type
  16. collect fruit photos
  17. 56
  18. 100
  19. pick a question to solve
  20. 10
  21. 30
  22. choose what to sort
  23. paper and examples
  24. 5
  25. 7
  26. calculate percent right
  27. 42
  28. let it learn patterns
  29. collect fruit photos
  30. calculate percent right
  31. 6
  32. to see if it learned
  33. 128
  34. 40
  35. label each example
  36. test on new photos
  37. 6
  38. 1
  39. 10
  40. 48

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