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AI for students lesson 23: Design a tiny AI project · Set 476 · 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.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
  2. 2.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  3. 3.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
  5. 5.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  6. 6.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
  7. 7.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  8. 8.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 70 new bird songs, how many should it get right?
  9. 9.📦 Vihaan collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
  11. 11.📋 Planning an AI project: which comes first — improve data, retest or train the model? (a) improve data, retest (b) train the model
  12. 12.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  13. 13.📦 Aarav collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  14. 14.❌ Rohan’s leaf identifier was tested on 46 new leaf photos and got 40 right. How many did it get wrong?
  15. 15.❌ Ishaan’s bird-song app was tested on 31 new bird songs and got 26 right. How many did it get wrong?
  16. 16.📋 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
  17. 17.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  18. 18.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
  19. 19.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  20. 20.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 16 right and Model B got 15 right. How many percentage points more accurate is Model A?
  22. 22.🎯 Kabir’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  23. 23.🎯 Ananya’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  24. 24.🧪 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
  25. 25.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
  26. 26.📦 Ishaan collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  27. 27.📦 Ishaan collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  28. 28.📋 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
  29. 29.❌ Saanvi’s bird-song app was tested on 15 new bird songs and got 11 right. How many did it get wrong?
  30. 30.❌ Vihaan’s handwriting reader was tested on 18 new handwritten letters and got 16 right. How many did it get wrong?
  31. 31.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  32. 32.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
  33. 33.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  34. 34.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 40 new bird songs, how many should it get right?
  35. 35.📋 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
  36. 36.📦 Kabir collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  37. 37.🎯 Diya’s bird-song app was tested on 50 new bird songs and got 45 right. What is its accuracy in percent?
  38. 38.📦 Nisha collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.🎯 Rohan’s handwriting reader was tested on 50 new handwritten letters and got 32 right. What is its accuracy in percent?
  40. 40.❌ Kabir’s bird-song app was tested on 30 new bird songs and got 26 right. How many did it get wrong?

Answer key

  1. paper and examples
  2. work out the accuracy
  3. test on new photos
  4. to see if it learned
  5. 60
  6. 70
  7. let it learn patterns
  8. 49
  9. 152
  10. 20
  11. train the model
  12. train the model
  13. 88
  14. 6
  15. 5
  16. calculate percent right
  17. correct ÷ total × 100
  18. tag each photo by type
  19. label each example
  20. train the model
  21. 4
  22. 72
  23. 80
  24. more labelled examples
  25. 92
  26. 64
  27. 96
  28. work out the accuracy
  29. 4
  30. 2
  31. split train and test
  32. pick a question to solve
  33. test on new photos
  34. 32
  35. test on new photos
  36. 32
  37. 90
  38. 48
  39. 64
  40. 4

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