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AI for students lesson 23: Design a tiny AI project · Set 259 · 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.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  2. 2.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
  4. 4.🎯 Meera’s spam spotter was tested on 20 new messages and got 12 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — test on new photos or label each example? (a) test on new photos (b) label each example
  6. 6.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  7. 7.🎯 Vihaan’s handwriting reader was tested on 5 new handwritten letters and got 3 right. What is its accuracy in percent?
  8. 8.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
  9. 9.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 18 right. What is its accuracy in percent?
  10. 10.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
  11. 11.🎯 Aarav’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  12. 12.📋 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
  13. 13.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  14. 14.🧪 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
  15. 15.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  16. 16.📦 Saanvi collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
  18. 18.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  19. 19.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  20. 20.❌ Kabir’s spam spotter was tested on 44 new messages and got 37 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or gather many examples? (a) fix it and test again (b) gather many examples
  22. 22.❌ Arjun’s handwriting reader was tested on 25 new handwritten letters and got 24 right. How many did it get wrong?
  23. 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  24. 24.❌ Aarav’s bird-song app was tested on 13 new bird songs and got 12 right. How many did it get wrong?
  25. 25.🎯 Diya’s recycling sorter is 60% accurate. If it is tested on 50 new waste photos, how many should it get right?
  26. 26.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 25 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
  28. 28.🎯 Arjun’s spam spotter was tested on 4 new messages and got 2 right. What is its accuracy in percent?
  29. 29.🎯 Diya’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
  31. 31.📋 Planning an AI project: which comes first — gather many examples or work out the accuracy? (a) gather many examples (b) work out the accuracy
  32. 32.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
  33. 33.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  34. 34.🎯 Rohan’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
  35. 35.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  36. 36.📦 Diya 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.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
  39. 39.❌ Arjun’s fruit sorter was tested on 21 new fruit photos and got 16 right. How many did it get wrong?
  40. 40.❌ Tara’s spam spotter was tested on 21 new messages and got 16 right. How many did it get wrong?

Answer key

  1. 50
  2. paper and examples
  3. more labelled examples
  4. 60
  5. label each example
  6. split train and test
  7. 60
  8. 4
  9. 72
  10. correct ÷ total × 100
  11. 50
  12. tag each photo by type
  13. test on new photos
  14. to see if it learned
  15. 30
  16. 88
  17. 10
  18. 40
  19. work out the accuracy
  20. 7
  21. gather many examples
  22. 1
  23. try unseen examples
  24. 1
  25. 30
  26. 100
  27. choose what to sort
  28. 50
  29. 30
  30. set aside test photos
  31. gather many examples
  32. gather many examples
  33. try unseen examples
  34. 70
  35. 40
  36. 32
  37. 30
  38. set aside test photos
  39. 5
  40. 5

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