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AI for students lesson 23: Design a tiny AI project · Set 945 · 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 leaf identifier was tested on 25 new leaf photos and got 24 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  3. 3.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  4. 4.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  5. 5.❌ Kabir’s recycling sorter was tested on 36 new waste photos and got 31 right. How many did it get wrong?
  6. 6.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  7. 7.❌ Saanvi’s recycling sorter was tested on 38 new waste photos and got 33 right. How many did it get wrong?
  8. 8.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  9. 9.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to save paper (d) to make it faster
  11. 11.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
  13. 13.📦 Tara collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  14. 14.🎯 Kabir’s leaf identifier is 70% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  15. 15.🎯 Saanvi’s leaf identifier is 90% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  16. 16.🎯 Diya’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
  17. 17.❌ Arjun’s handwriting reader was tested on 32 new handwritten letters and got 25 right. How many did it get wrong?
  18. 18.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
  19. 19.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
  20. 20.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  21. 21.❌ Ananya’s handwriting reader was tested on 33 new handwritten letters and got 24 right. How many did it get wrong?
  22. 22.📋 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
  23. 23.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  24. 24.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
  25. 25.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  27. 27.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  28. 28.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  29. 29.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
  30. 30.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  31. 31.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
  32. 32.📦 Vihaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
  34. 34.📦 Tara collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  36. 36.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
  37. 37.⚖️ 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?
  38. 38.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  40. 40.📋 Planning an AI project: which comes first — label each example or correct bad labels? (a) label each example (b) correct bad labels

Answer key

  1. 96
  2. set aside test photos
  3. 48
  4. work out the accuracy
  5. 5
  6. label each example
  7. 5
  8. correct ÷ total × 100
  9. set aside test photos
  10. to see if it learned
  11. tag each photo by type
  12. collect fruit photos
  13. 48
  14. 35
  15. 90
  16. 100
  17. 7
  18. paper and examples
  19. 70
  20. 50
  21. 9
  22. tag each photo by type
  23. split train and test
  24. 52
  25. 128
  26. train the model
  27. 50
  28. 8
  29. gather many examples
  30. collect fruit photos
  31. 20
  32. 120
  33. 18
  34. 56
  35. train the model
  36. tag each photo by type
  37. 10
  38. 50
  39. gather many examples
  40. label each example

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