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AI for students lesson 23: Design a tiny AI project · Set 407 · 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 see if it learned (d) to make it faster
  2. 2.📋 Planning an AI project: which comes first — try unseen examples or set aside test photos? (a) try unseen examples (b) set aside test photos
  3. 3.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
  4. 4.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 37 right. What is its accuracy in percent?
  5. 5.🎯 Meera’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  6. 6.📦 Diya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  7. 7.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
  9. 9.📦 Tara collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  11. 11.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  12. 12.📋 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
  13. 13.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  14. 14.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 37 right. How many did it get wrong?
  15. 15.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  16. 16.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  18. 18.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  19. 19.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  20. 20.❌ Arjun’s leaf identifier was tested on 31 new leaf photos and got 25 right. How many did it get wrong?
  21. 21.📦 Meera collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  22. 22.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  23. 23.❌ Aarav’s recycling sorter was tested on 40 new waste photos and got 31 right. How many did it get wrong?
  24. 24.❌ Meera’s leaf identifier was tested on 46 new leaf photos and got 41 right. How many did it get wrong?
  25. 25.🎯 Meera’s handwriting reader was tested on 20 new handwritten letters and got 14 right. What is its accuracy in percent?
  26. 26.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
  27. 27.📦 Nisha collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  28. 28.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
  29. 29.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
  30. 30.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  31. 31.❌ Aarav’s bird-song app was tested on 41 new bird songs and got 33 right. How many did it get wrong?
  32. 32.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 70 new bird songs, how many should it get right?
  33. 33.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  34. 34.📦 Tara collected 170 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  35. 35.🧪 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
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  38. 38.📋 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
  39. 39.📋 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
  40. 40.📦 Ananya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. to see if it learned
  2. set aside test photos
  3. correct bad labels
  4. 74
  5. 80
  6. 64
  7. split train and test
  8. more labelled examples
  9. 88
  10. work out the accuracy
  11. 9
  12. split train and test
  13. let it learn patterns
  14. 9
  15. tag each photo by type
  16. 20
  17. recheck every label
  18. train the model
  19. correct ÷ total × 100
  20. 6
  21. 120
  22. set aside test photos
  23. 9
  24. 5
  25. 70
  26. gather many examples
  27. 56
  28. pick a question to solve
  29. pick a question to solve
  30. 64
  31. 8
  32. 63
  33. 96
  34. 136
  35. paper and examples
  36. split train and test
  37. work out the accuracy
  38. calculate percent right
  39. test on new photos
  40. 40

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