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AI for students lesson 23: Design a tiny AI project · Set 935 · 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.📦 Kabir collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  2. 2.❌ Meera’s recycling sorter was tested on 42 new waste photos and got 37 right. How many did it get wrong?
  3. 3.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
  4. 4.📦 Nisha collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  5. 5.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
  6. 6.📋 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
  7. 7.📦 Tara collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
  9. 9.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
  10. 10.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
  11. 11.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
  13. 13.🧪 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
  14. 14.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
  15. 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  16. 16.📦 Meera collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  18. 18.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  19. 19.📋 Planning an AI project: which comes first — improve data, retest or let it learn patterns? (a) improve data, retest (b) let it learn patterns
  20. 20.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
  21. 21.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  22. 22.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
  23. 23.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  24. 24.🎯 Arjun’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  26. 26.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  27. 27.🎯 Ishaan’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
  28. 28.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
  29. 29.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 18 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  31. 31.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  32. 32.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  33. 33.❌ Nisha’s handwriting reader was tested on 40 new handwritten letters and got 34 right. How many did it get wrong?
  34. 34.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  37. 37.🎯 Tara’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  38. 38.🎯 Ishaan’s bird-song app was tested on 25 new bird songs and got 14 right. What is its accuracy in percent?
  39. 39.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 48 right and Model B got 43 right. How many percentage points more accurate is Model A?
  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. 72
  2. 5
  3. split train and test
  4. 32
  5. 45
  6. try unseen examples
  7. 56
  8. more labelled examples
  9. paper and examples
  10. pick a question to solve
  11. 70
  12. correct bad labels
  13. to see if it learned
  14. pick a question to solve
  15. calculate percent right
  16. 152
  17. 20
  18. 112
  19. let it learn patterns
  20. 90
  21. 45
  22. correct bad labels
  23. test on new photos
  24. 60
  25. correct bad labels
  26. 56
  27. 24
  28. tag each photo by type
  29. 72
  30. work out the accuracy
  31. work out the accuracy
  32. correct ÷ total × 100
  33. 6
  34. 60
  35. pick a question to solve
  36. collect fruit photos
  37. 35
  38. 56
  39. 10
  40. train the model

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