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AI for students lesson 23: Design a tiny AI project · Set 145 · 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) total × 2 (d) correct ÷ total × 100
  2. 2.❌ Saanvi’s spam spotter was tested on 21 new messages and got 20 right. How many did it get wrong?
  3. 3.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  4. 4.📋 Planning an AI project: which comes first — fix it and test again or choose what to sort? (a) fix it and test again (b) choose what to sort
  5. 5.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
  7. 7.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  8. 8.📦 Nisha collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  9. 9.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 30 new messages, how many should it get right?
  10. 10.🧪 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
  11. 11.❌ Ishaan’s fruit sorter was tested on 46 new fruit photos and got 45 right. How many did it get wrong?
  12. 12.❌ Ishaan’s handwriting reader was tested on 44 new handwritten letters and got 37 right. How many did it get wrong?
  13. 13.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  14. 14.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  15. 15.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  16. 16.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
  17. 17.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  18. 18.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
  19. 19.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  20. 20.📦 Tara collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  21. 21.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 20 right. What is its accuracy in percent?
  22. 22.❌ Ananya’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
  23. 23.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
  24. 24.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  25. 25.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  26. 26.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  28. 28.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  29. 29.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
  30. 30.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  31. 31.🎯 Saanvi’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
  32. 32.📋 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
  33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 50 right and Model B got 43 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  35. 35.📦 Ananya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
  37. 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  39. 39.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
  40. 40.❌ Nisha’s spam spotter was tested on 50 new messages and got 44 right. How many did it get wrong?

Answer key

  1. correct ÷ total × 100
  2. 1
  3. split train and test
  4. choose what to sort
  5. paper and examples
  6. to see if it learned
  7. collect fruit photos
  8. 160
  9. 15
  10. more labelled examples
  11. 1
  12. 7
  13. set aside test photos
  14. collect fruit photos
  15. try unseen examples
  16. 10
  17. 27
  18. let it learn patterns
  19. 8
  20. 136
  21. 80
  22. 2
  23. 5
  24. 20
  25. 45
  26. 25
  27. try unseen examples
  28. test on new photos
  29. collect fruit photos
  30. 20
  31. 80
  32. calculate percent right
  33. 14
  34. try unseen examples
  35. 32
  36. set aside test photos
  37. 15
  38. split train and test
  39. 20
  40. 6

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