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AI for students lesson 23: Design a tiny AI project · Set 869 · 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.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  2. 2.📋 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
  3. 3.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 40 right and Model B got 29 right. How many percentage points more accurate is Model A?
  4. 4.❌ Rohan’s recycling sorter was tested on 40 new waste photos and got 32 right. How many did it get wrong?
  5. 5.❌ Diya’s recycling sorter was tested on 22 new waste photos and got 14 right. How many did it get wrong?
  6. 6.🎯 Meera’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
  7. 7.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  8. 8.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  9. 9.📋 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
  10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  11. 11.❌ Arjun’s recycling sorter was tested on 23 new waste photos and got 17 right. How many did it get wrong?
  12. 12.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
  13. 13.📋 Planning an AI project: which comes first — choose what to sort or recheck every label? (a) choose what to sort (b) recheck every label
  14. 14.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  15. 15.📋 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
  16. 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  17. 17.❌ Rohan’s bird-song app was tested on 43 new bird songs and got 36 right. How many did it get wrong?
  18. 18.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
  19. 19.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
  20. 20.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 21 right. What is its accuracy in percent?
  21. 21.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to make it bigger (d) to see if it learned
  22. 22.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  23. 23.📦 Ananya collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  24. 24.❌ Rohan’s fruit sorter was tested on 36 new fruit photos and got 27 right. How many did it get wrong?
  25. 25.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  26. 26.🎯 Meera’s handwriting reader is 60% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
  28. 28.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 44 right and Model B got 37 right. How many percentage points more accurate is Model A?
  29. 29.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  30. 30.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
  31. 31.📦 Kabir collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  32. 32.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  33. 33.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
  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.🧪 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
  36. 36.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
  37. 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  38. 38.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  39. 39.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
  40. 40.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test

Answer key

  1. correct ÷ total × 100
  2. tag each photo by type
  3. 22
  4. 8
  5. 8
  6. 18
  7. train the model
  8. train the model
  9. test on new photos
  10. work out the accuracy
  11. 6
  12. tag each photo by type
  13. choose what to sort
  14. 5
  15. set aside test photos
  16. calculate percent right
  17. 7
  18. 80
  19. paper and examples
  20. 84
  21. to see if it learned
  22. 10
  23. 104
  24. 9
  25. try unseen examples
  26. 6
  27. correct bad labels
  28. 14
  29. 50
  30. 5
  31. 144
  32. train the model
  33. label each example
  34. work out the accuracy
  35. more labelled examples
  36. set aside test photos
  37. work out the accuracy
  38. 96
  39. pick a question to solve
  40. pick a question to solve

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