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AI for students lesson 23: Design a tiny AI project · Set 22 · 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.📦 Tara collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  2. 2.❌ Rohan’s fruit sorter was tested on 38 new fruit photos and got 34 right. How many did it get wrong?
  3. 3.🎯 Diya’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  4. 4.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  6. 6.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
  7. 7.🧪 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
  8. 8.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  9. 9.📦 Arjun collected 40 labelled bird songs for a bird-song app 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 test on new photos? (a) work out the accuracy (b) test on new photos
  11. 11.📋 Planning an AI project: which comes first — collect fruit photos or work out the accuracy? (a) collect fruit photos (b) work out the accuracy
  12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
  13. 13.📋 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
  14. 14.❌ Tara’s leaf identifier was tested on 11 new leaf photos and got 10 right. How many did it get wrong?
  15. 15.❌ Rohan’s fruit sorter was tested on 30 new fruit photos and got 26 right. How many did it get wrong?
  16. 16.📦 Ananya collected 110 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 recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
  18. 18.🎯 Rohan’s spam spotter was tested on 10 new messages and got 10 right. What is its accuracy in percent?
  19. 19.📋 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
  20. 20.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  21. 21.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
  22. 22.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again
  23. 23.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  24. 24.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  25. 25.🎯 Ananya’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  26. 26.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  27. 27.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  28. 28.📋 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
  29. 29.❌ Kabir’s handwriting reader was tested on 29 new handwritten letters and got 21 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  31. 31.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 25 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 13 right. What is its accuracy in percent?
  33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 46 right and Model B got 44 right. How many percentage points more accurate is Model A?
  34. 34.❌ Tara’s handwriting reader was tested on 22 new handwritten letters and got 15 right. How many did it get wrong?
  35. 35.🎯 Ananya’s spam spotter was tested on 25 new messages and got 14 right. What is its accuracy in percent?
  36. 36.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 90 new waste photos, how many should it get right?
  37. 37.🎯 Nisha’s spam spotter was tested on 25 new messages and got 20 right. What is its accuracy in percent?
  38. 38.🎯 Rohan’s bird-song app is 90% accurate. If it is tested on 40 new bird songs, how many should it get right?
  39. 39.📦 Rohan collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve

Answer key

  1. 56
  2. 4
  3. 60
  4. correct ÷ total × 100
  5. more labelled examples
  6. 8
  7. paper and examples
  8. 48
  9. 32
  10. test on new photos
  11. collect fruit photos
  12. to see if it learned
  13. work out the accuracy
  14. 1
  15. 4
  16. 88
  17. 28
  18. 100
  19. pick a question to solve
  20. work out the accuracy
  21. split train and test
  22. choose what to sort
  23. train the model
  24. 70
  25. 18
  26. 75
  27. 112
  28. try unseen examples
  29. 8
  30. set aside test photos
  31. 34
  32. 65
  33. 4
  34. 7
  35. 56
  36. 81
  37. 80
  38. 36
  39. 104
  40. pick a question to solve

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students