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AI for students lesson 23: Design a tiny AI project · Set 118 · 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 — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  2. 2.📦 Aarav collected 120 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 — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  4. 4.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  6. 6.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
  7. 7.🎯 Meera’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
  8. 8.🎯 Vihaan’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  9. 9.📋 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
  10. 10.🧪 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
  11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  12. 12.📦 Rohan collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  13. 13.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  14. 14.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 90 new waste photos, how many should it get right?
  15. 15.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  16. 16.📦 Ishaan collected 200 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
  18. 18.🎯 Arjun’s recycling sorter is 80% accurate. If it is tested on 100 new waste photos, how many should it get right?
  19. 19.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  20. 20.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 9 right. What is its accuracy in percent?
  21. 21.🎯 Ananya’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  22. 22.📦 Kabir collected 180 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 33 right and Model B got 28 right. How many percentage points more accurate is Model A?
  24. 24.📋 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
  25. 25.🎯 Nisha’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  26. 26.❌ Meera’s recycling sorter was tested on 29 new waste photos and got 23 right. How many did it get wrong?
  27. 27.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
  28. 28.📋 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
  29. 29.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  30. 30.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 60 new waste photos, how many should it get right?
  31. 31.🎯 Rohan’s leaf identifier is 50% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  32. 32.❌ Kabir’s leaf identifier was tested on 31 new leaf photos and got 30 right. How many did it get wrong?
  33. 33.🎯 Arjun’s recycling sorter is 90% accurate. If it is tested on 30 new waste photos, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
  35. 35.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
  36. 36.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  38. 38.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
  39. 39.📦 Kabir collected 130 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 — train the model or pick a question to solve? (a) train the model (b) pick a question to solve

Answer key

  1. try unseen examples
  2. 96
  3. let it learn patterns
  4. 50
  5. try unseen examples
  6. 12
  7. 56
  8. 60
  9. work out the accuracy
  10. to see if it learned
  11. paper and examples
  12. 48
  13. more labelled examples
  14. 63
  15. correct ÷ total × 100
  16. 160
  17. 20
  18. 80
  19. 20
  20. 90
  21. 15
  22. 144
  23. 10
  24. work out the accuracy
  25. 80
  26. 6
  27. 49
  28. split train and test
  29. set aside test photos
  30. 42
  31. 10
  32. 1
  33. 27
  34. tag each photo by type
  35. split train and test
  36. set aside test photos
  37. calculate percent right
  38. label each example
  39. 104
  40. pick a question to solve

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