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AI for students lesson 23: Design a tiny AI project · Set 326 · 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.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  3. 3.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  4. 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  5. 5.🎯 Meera’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
  6. 6.📋 Planning an AI project: which comes first — pick a question to solve or let it learn patterns? (a) pick a question to solve (b) let it learn patterns
  7. 7.📦 Kabir collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  8. 8.📦 Arjun collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  9. 9.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
  10. 10.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  11. 11.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 10 new waste photos, how many should it get right?
  12. 12.❌ Ananya’s fruit sorter was tested on 44 new fruit photos and got 38 right. How many did it get wrong?
  13. 13.🧪 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
  14. 14.🎯 Aarav’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  15. 15.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  16. 16.🎯 Kabir’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  17. 17.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
  18. 18.❌ Vihaan’s fruit sorter was tested on 17 new fruit photos and got 16 right. How many did it get wrong?
  19. 19.❌ Diya’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
  20. 20.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  22. 22.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  23. 23.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  24. 24.🎯 Ananya’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
  26. 26.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
  28. 28.📦 Meera collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
  30. 30.📦 Aarav collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
  32. 32.📦 Vihaan collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.❌ Vihaan’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
  34. 34.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 20 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Ishaan’s recycling sorter was tested on 50 new waste photos and got 39 right. What is its accuracy in percent?
  36. 36.🎯 Tara’s handwriting reader is 90% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  37. 37.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  38. 38.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  39. 39.📦 Ishaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 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

Answer key

  1. 64
  2. split train and test
  3. tag each photo by type
  4. correct ÷ total × 100
  5. 30
  6. pick a question to solve
  7. 72
  8. 136
  9. set aside test photos
  10. paper and examples
  11. 6
  12. 6
  13. more labelled examples
  14. 25
  15. to see if it learned
  16. 60
  17. 12
  18. 1
  19. 3
  20. 42
  21. train the model
  22. 10
  23. collect fruit photos
  24. 100
  25. pick a question to solve
  26. 20
  27. tag each photo by type
  28. 144
  29. label each example
  30. 104
  31. recheck every label
  32. 112
  33. 5
  34. 4
  35. 78
  36. 9
  37. try unseen examples
  38. 21
  39. 120
  40. let it learn patterns

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