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AI for students lesson 23: Design a tiny AI project · Set 614 · 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.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  3. 3.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  4. 4.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  5. 5.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
  6. 6.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
  7. 7.📦 Arjun collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  8. 8.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
  9. 9.🎯 Kabir’s spam spotter was tested on 20 new messages and got 15 right. What is its accuracy in percent?
  10. 10.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
  12. 12.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 13 right. How many percentage points more accurate is Model A?
  13. 13.🎯 Nisha’s handwriting reader is 70% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  14. 14.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
  15. 15.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  16. 16.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  17. 17.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
  18. 18.🧪 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
  19. 19.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
  20. 20.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
  21. 21.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  22. 22.🎯 Tara’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  23. 23.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
  25. 25.🎯 Arjun’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
  26. 26.❌ Nisha’s leaf identifier was tested on 39 new leaf photos and got 34 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  28. 28.🎯 Aarav’s handwriting reader is 80% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  29. 29.❌ Arjun’s spam spotter was tested on 22 new messages and got 17 right. How many did it get wrong?
  30. 30.📦 Rohan collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
  32. 32.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  33. 33.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
  34. 34.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  35. 35.📦 Tara collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  36. 36.📦 Diya collected 140 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 — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
  38. 38.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
  39. 39.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  40. 40.📋 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

Answer key

  1. 100
  2. label each example
  3. work out the accuracy
  4. 75
  5. 12
  6. 36
  7. 40
  8. paper and examples
  9. 75
  10. correct ÷ total × 100
  11. more labelled examples
  12. 36
  13. 35
  14. choose what to sort
  15. test on new photos
  16. 20
  17. 10
  18. to see if it learned
  19. set aside test photos
  20. gather many examples
  21. 14
  22. 100
  23. 60
  24. collect fruit photos
  25. 56
  26. 5
  27. collect fruit photos
  28. 32
  29. 5
  30. 104
  31. gather many examples
  32. 35
  33. 80
  34. train the model
  35. 112
  36. 112
  37. recheck every label
  38. gather many examples
  39. pick a question to solve
  40. split train and test

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