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AI for students lesson 23: Design a tiny AI project · Set 578 · 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.🧪 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
  2. 2.🧪 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
  3. 3.🎯 Kabir’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
  4. 4.🎯 Nisha’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  5. 5.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  6. 6.📋 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
  7. 7.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  9. 9.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  10. 10.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 21 right. What is its accuracy in percent?
  11. 11.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  12. 12.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  13. 13.📦 Ishaan collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  14. 14.❌ Meera’s bird-song app was tested on 26 new bird songs and got 17 right. How many did it get wrong?
  15. 15.🎯 Arjun’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  16. 16.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  17. 17.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  18. 18.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
  19. 19.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 26 right. How many percentage points more accurate is Model A?
  20. 20.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  21. 21.❌ Vihaan’s recycling sorter was tested on 45 new waste photos and got 41 right. How many did it get wrong?
  22. 22.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  23. 23.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  24. 24.📦 Tara collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  25. 25.❌ Ananya’s recycling sorter was tested on 22 new waste photos and got 20 right. How many did it get wrong?
  26. 26.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  27. 27.📦 Nisha collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  28. 28.🎯 Nisha’s handwriting reader is 90% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  29. 29.🎯 Ishaan’s handwriting reader was tested on 25 new handwritten letters and got 24 right. What is its accuracy in percent?
  30. 30.❌ Saanvi’s handwriting reader was tested on 35 new handwritten letters and got 30 right. How many did it get wrong?
  31. 31.📦 Aarav collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  32. 32.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  33. 33.📋 Planning an AI project: which comes first — label each example or collect fruit photos? (a) label each example (b) collect fruit photos
  34. 34.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
  35. 35.❌ Tara’s handwriting reader was tested on 20 new handwritten letters and got 15 right. How many did it get wrong?
  36. 36.🎯 Saanvi’s fruit sorter was tested on 25 new fruit photos and got 13 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  38. 38.🎯 Vihaan’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
  39. 39.🎯 Vihaan’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
  40. 40.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?

Answer key

  1. to see if it learned
  2. paper and examples
  3. 60
  4. 80
  5. correct ÷ total × 100
  6. work out the accuracy
  7. let it learn patterns
  8. more labelled examples
  9. let it learn patterns
  10. 84
  11. work out the accuracy
  12. calculate percent right
  13. 120
  14. 9
  15. 35
  16. 80
  17. 75
  18. label each example
  19. 26
  20. test on new photos
  21. 4
  22. try unseen examples
  23. split train and test
  24. 112
  25. 2
  26. 4
  27. 136
  28. 81
  29. 96
  30. 5
  31. 32
  32. try unseen examples
  33. collect fruit photos
  34. correct bad labels
  35. 5
  36. 52
  37. collect fruit photos
  38. 60
  39. 20
  40. 20

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