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AI for students lesson 23: Design a tiny AI project · Set 204 · 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 — label each example or split train and test? (a) label each example (b) split train and test
  2. 2.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  3. 3.🎯 Aarav’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
  4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
  5. 5.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  6. 6.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  7. 7.❌ Vihaan’s spam spotter was tested on 24 new messages and got 23 right. How many did it get wrong?
  8. 8.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  9. 9.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
  10. 10.📦 Meera collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  11. 11.📦 Meera collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  13. 13.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  14. 14.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  15. 15.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
  16. 16.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
  18. 18.📋 Planning an AI project: which comes first — tag each photo by type or set aside test photos? (a) tag each photo by type (b) set aside test photos
  19. 19.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  20. 20.📦 Aarav collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  22. 22.🎯 Diya’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
  23. 23.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
  25. 25.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
  26. 26.❌ Vihaan’s spam spotter was tested on 19 new messages and got 13 right. How many did it get wrong?
  27. 27.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  28. 28.📦 Meera collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  29. 29.📦 Nisha collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — label each example or fix it and test again? (a) label each example (b) fix it and test again
  31. 31.🎯 Vihaan’s bird-song app is 80% accurate. If it is tested on 80 new bird songs, how many should it get right?
  32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 22 right. How many percentage points more accurate is Model A?
  33. 33.❌ Ananya’s handwriting reader was tested on 34 new handwritten letters and got 33 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
  35. 35.📦 Rohan collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 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
  37. 37.📋 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
  38. 38.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  39. 39.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) a secret password (d) paper and examples
  40. 40.📋 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

Answer key

  1. label each example
  2. correct bad labels
  3. 50
  4. more labelled examples
  5. 45
  6. 60
  7. 1
  8. 5
  9. 100
  10. 120
  11. 136
  12. test on new photos
  13. correct ÷ total × 100
  14. set aside test photos
  15. label each example
  16. to see if it learned
  17. gather many examples
  18. tag each photo by type
  19. calculate percent right
  20. 88
  21. calculate percent right
  22. 49
  23. 50
  24. let it learn patterns
  25. 25
  26. 6
  27. 10
  28. 112
  29. 144
  30. label each example
  31. 64
  32. 12
  33. 1
  34. set aside test photos
  35. 40
  36. try unseen examples
  37. work out the accuracy
  38. calculate percent right
  39. paper and examples
  40. tag each photo by type

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