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AI for students lesson 23: Design a tiny AI project · Set 451 · 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.❌ Ishaan’s bird-song app was tested on 25 new bird songs and got 18 right. How many did it get wrong?
  2. 2.📋 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
  3. 3.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  4. 4.📦 Ishaan collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  5. 5.🎯 Ananya’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
  6. 6.❌ Rohan’s leaf identifier was tested on 45 new leaf photos and got 40 right. How many did it get wrong?
  7. 7.🎯 Ishaan’s recycling sorter is 80% accurate. If it is tested on 10 new waste photos, how many should it get right?
  8. 8.❌ Vihaan’s leaf identifier was tested on 22 new leaf photos and got 16 right. How many did it get wrong?
  9. 9.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  10. 10.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  11. 11.🎯 Saanvi’s bird-song app is 70% accurate. If it is tested on 10 new bird songs, how many should it get right?
  12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  13. 13.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
  14. 14.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
  15. 15.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
  16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
  17. 17.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  18. 18.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
  19. 19.📋 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
  20. 20.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  21. 21.📦 Kabir collected 100 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  22. 22.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 43 right. How many percentage points more accurate is Model A?
  23. 23.❌ Ananya’s handwriting reader was tested on 15 new handwritten letters and got 12 right. How many did it get wrong?
  24. 24.📦 Arjun collected 120 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 — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  26. 26.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  27. 27.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
  28. 28.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 34 right. What is its accuracy in percent?
  29. 29.📦 Ishaan collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
  31. 31.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve
  32. 32.❌ Ishaan’s recycling sorter was tested on 30 new waste photos and got 21 right. How many did it get wrong?
  33. 33.📋 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
  34. 34.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  35. 35.🎯 Arjun’s fruit sorter was tested on 50 new fruit photos and got 32 right. What is its accuracy in percent?
  36. 36.📋 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
  37. 37.❌ Saanvi’s handwriting reader was tested on 36 new handwritten letters and got 32 right. How many did it get wrong?
  38. 38.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
  39. 39.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
  40. 40.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 50 right and Model B got 35 right. How many percentage points more accurate is Model A?

Answer key

  1. 7
  2. tag each photo by type
  3. label each example
  4. 96
  5. 80
  6. 5
  7. 8
  8. 6
  9. paper and examples
  10. 36
  11. 7
  12. to see if it learned
  13. tag each photo by type
  14. 70
  15. correct ÷ total × 100
  16. more labelled examples
  17. 10
  18. recheck every label
  19. tag each photo by type
  20. 128
  21. 80
  22. 6
  23. 3
  24. 96
  25. calculate percent right
  26. calculate percent right
  27. 18
  28. 68
  29. 104
  30. pick a question to solve
  31. pick a question to solve
  32. 9
  33. calculate percent right
  34. 45
  35. 64
  36. work out the accuracy
  37. 4
  38. 18
  39. split train and test
  40. 30

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