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AI for students lesson 23: Design a tiny AI project · Set 280 · 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.🎯 Meera’s recycling sorter was tested on 20 new waste photos and got 13 right. What is its accuracy in percent?
  2. 2.📦 Tara collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  3. 3.📋 Planning an AI project: which comes first — calculate percent right or let it learn patterns? (a) calculate percent right (b) let it learn patterns
  4. 4.🧪 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
  5. 5.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  6. 6.❌ Diya’s recycling sorter was tested on 21 new waste photos and got 17 right. How many did it get wrong?
  7. 7.🎯 Diya’s bird-song app is 70% accurate. If it is tested on 60 new bird songs, how many should it get right?
  8. 8.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
  9. 9.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
  10. 10.❌ Vihaan’s bird-song app was tested on 45 new bird songs and got 39 right. How many did it get wrong?
  11. 11.🎯 Aarav’s recycling sorter is 60% accurate. If it is tested on 20 new waste photos, how many should it get right?
  12. 12.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  13. 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
  14. 14.🎯 Ishaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
  15. 15.📦 Ananya collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
  17. 17.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  18. 18.🎯 Diya’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
  19. 19.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
  20. 20.📦 Kabir collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
  22. 22.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
  23. 23.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
  24. 24.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
  25. 25.🎯 Arjun’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
  26. 26.❌ Rohan’s spam spotter was tested on 22 new messages and got 18 right. How many did it get wrong?
  27. 27.📦 Ananya collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  28. 28.❌ Nisha’s handwriting reader was tested on 48 new handwritten letters and got 41 right. How many did it get wrong?
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  30. 30.❌ Nisha’s handwriting reader was tested on 21 new handwritten letters and got 19 right. How many did it get wrong?
  31. 31.❌ Meera’s recycling sorter was tested on 48 new waste photos and got 47 right. How many did it get wrong?
  32. 32.📦 Rohan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Meera’s recycling sorter was tested on 10 new waste photos and got 9 right. What is its accuracy in percent?
  34. 34.📦 Meera collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
  37. 37.🎯 Ananya’s recycling sorter is 90% accurate. If it is tested on 70 new waste photos, how many should it get right?
  38. 38.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
  39. 39.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
  40. 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model

Answer key

  1. 65
  2. 56
  3. let it learn patterns
  4. more labelled examples
  5. correct bad labels
  6. 4
  7. 42
  8. recheck every label
  9. pick a question to solve
  10. 6
  11. 12
  12. tag each photo by type
  13. paper and examples
  14. 28
  15. 48
  16. 30
  17. correct ÷ total × 100
  18. 70
  19. 100
  20. 160
  21. collect fruit photos
  22. choose what to sort
  23. to see if it learned
  24. gather many examples
  25. 18
  26. 4
  27. 136
  28. 7
  29. work out the accuracy
  30. 2
  31. 1
  32. 96
  33. 90
  34. 48
  35. gather many examples
  36. choose what to sort
  37. 63
  38. label each example
  39. pick a question to solve
  40. train the model

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