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AI for students lesson 23: Design a tiny AI project · Set 518 · 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.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  2. 2.📦 Nisha collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  3. 3.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  4. 4.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
  6. 6.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 32 right. How many percentage points more accurate is Model A?
  7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  8. 8.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  9. 9.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  10. 10.❌ Kabir’s bird-song app was tested on 21 new bird songs and got 18 right. How many did it get wrong?
  11. 11.📋 Planning an AI project: which comes first — split train and test or collect fruit photos? (a) split train and test (b) collect fruit photos
  12. 12.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
  13. 13.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
  14. 14.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
  15. 15.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  16. 16.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  17. 17.❌ Vihaan’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
  18. 18.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
  19. 19.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 46 right. What is its accuracy in percent?
  20. 20.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  21. 21.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
  22. 22.🎯 Ananya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  23. 23.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
  24. 24.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  25. 25.❌ Meera’s handwriting reader was tested on 24 new handwritten letters and got 16 right. How many did it get wrong?
  26. 26.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
  27. 27.📦 Diya collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  28. 28.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  29. 29.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  31. 31.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
  32. 32.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
  33. 33.📦 Diya collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
  36. 36.❌ Ishaan’s spam spotter was tested on 35 new messages and got 26 right. How many did it get wrong?
  37. 37.❌ Rohan’s fruit sorter was tested on 41 new fruit photos and got 36 right. How many did it get wrong?
  38. 38.🎯 Kabir’s handwriting reader is 50% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  39. 39.❌ Meera’s bird-song app was tested on 30 new bird songs and got 22 right. How many did it get wrong?
  40. 40.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy

Answer key

  1. test on new photos
  2. 88
  3. correct bad labels
  4. 63
  5. 20
  6. 14
  7. to see if it learned
  8. 48
  9. more labelled examples
  10. 3
  11. collect fruit photos
  12. 6
  13. 50
  14. choose what to sort
  15. 10
  16. test on new photos
  17. 5
  18. pick a question to solve
  19. 92
  20. gather many examples
  21. correct ÷ total × 100
  22. 100
  23. choose what to sort
  24. let it learn patterns
  25. 8
  26. correct bad labels
  27. 32
  28. 10
  29. paper and examples
  30. try unseen examples
  31. label each example
  32. 100
  33. 32
  34. 50
  35. gather many examples
  36. 9
  37. 5
  38. 50
  39. 8
  40. work out the accuracy

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