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AI for students lesson 23: Design a tiny AI project · Set 603 · 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.🎯 Vihaan’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  2. 2.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  3. 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  4. 4.📋 Planning an AI project: which comes first — label each example or set aside test photos? (a) label each example (b) set aside test photos
  5. 5.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  6. 6.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
  7. 7.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  8. 8.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
  9. 9.📦 Aarav 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
  11. 11.📦 Aarav collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  12. 12.🎯 Vihaan’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
  13. 13.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  14. 14.📦 Aarav collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  15. 15.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  16. 16.📦 Arjun collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  17. 17.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  18. 18.❌ Vihaan’s spam spotter was tested on 15 new messages and got 14 right. How many did it get wrong?
  19. 19.🎯 Ananya’s spam spotter is 50% accurate. If it is tested on 70 new messages, how many should it get right?
  20. 20.🎯 Rohan’s fruit sorter is 60% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  21. 21.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
  22. 22.⚖️ 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?
  23. 23.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  24. 24.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  26. 26.🎯 Rohan’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
  28. 28.❌ Diya’s leaf identifier was tested on 48 new leaf photos and got 47 right. How many did it get wrong?
  29. 29.🎯 Ananya’s handwriting reader was tested on 50 new handwritten letters and got 34 right. What is its accuracy in percent?
  30. 30.❌ Meera’s fruit sorter was tested on 12 new fruit photos and got 10 right. How many did it get wrong?
  31. 31.📦 Vihaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  32. 32.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  33. 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
  34. 34.📋 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
  35. 35.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  36. 36.📦 Rohan collected 60 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
  38. 38.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 18 right. How many percentage points more accurate is Model A?
  39. 39.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 13 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos

Answer key

  1. 50
  2. split train and test
  3. correct ÷ total × 100
  4. label each example
  5. 40
  6. 28
  7. label each example
  8. 100
  9. 152
  10. to see if it learned
  11. 128
  12. 81
  13. collect fruit photos
  14. 120
  15. 48
  16. 128
  17. more labelled examples
  18. 1
  19. 35
  20. 54
  21. 12
  22. 5
  23. paper and examples
  24. 120
  25. collect fruit photos
  26. 100
  27. correct bad labels
  28. 1
  29. 68
  30. 2
  31. 136
  32. correct bad labels
  33. 8
  34. work out the accuracy
  35. 60
  36. 48
  37. pick a question to solve
  38. 12
  39. 32
  40. recheck every label

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