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AI for students lesson 23: Design a tiny AI project · Set 548 · 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 — tag each photo by type or work out the accuracy? (a) tag each photo by type (b) work out the accuracy
  2. 2.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  3. 3.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
  5. 5.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  6. 6.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  7. 7.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  8. 8.🎯 Kabir’s spam spotter was tested on 20 new messages and got 20 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — pick a question to solve or recheck every label? (a) pick a question to solve (b) recheck every label
  10. 10.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
  11. 11.❌ Kabir’s fruit sorter was tested on 44 new fruit photos and got 43 right. How many did it get wrong?
  12. 12.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  13. 13.🎯 Diya’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  14. 14.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
  15. 15.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  16. 16.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or choose what to sort? (a) work out the accuracy (b) choose what to sort
  18. 18.❌ Tara’s fruit sorter was tested on 37 new fruit photos and got 35 right. How many did it get wrong?
  19. 19.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  20. 20.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
  21. 21.📦 Meera collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  22. 22.🎯 Saanvi’s handwriting reader was tested on 50 new handwritten letters and got 35 right. What is its accuracy in percent?
  23. 23.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  24. 24.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  25. 25.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
  26. 26.📋 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
  27. 27.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
  28. 28.❌ Diya’s bird-song app was tested on 20 new bird songs and got 15 right. How many did it get wrong?
  29. 29.❌ Ishaan’s leaf identifier was tested on 25 new leaf photos and got 22 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  31. 31.🎯 Tara’s recycling sorter was tested on 20 new waste photos and got 10 right. What is its accuracy in percent?
  32. 32.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  33. 33.🎯 Nisha’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  34. 34.📦 Ishaan collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  35. 35.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
  37. 37.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  38. 38.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
  39. 39.📦 Aarav collected 90 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 — split train and test or correct bad labels? (a) split train and test (b) correct bad labels

Answer key

  1. tag each photo by type
  2. tag each photo by type
  3. choose what to sort
  4. to see if it learned
  5. correct ÷ total × 100
  6. 21
  7. set aside test photos
  8. 100
  9. pick a question to solve
  10. more labelled examples
  11. 1
  12. 50
  13. 36
  14. recheck every label
  15. 5
  16. paper and examples
  17. choose what to sort
  18. 2
  19. 45
  20. choose what to sort
  21. 80
  22. 70
  23. train the model
  24. 16
  25. 5
  26. calculate percent right
  27. 20
  28. 5
  29. 3
  30. let it learn patterns
  31. 50
  32. split train and test
  33. 60
  34. 128
  35. 90
  36. collect fruit photos
  37. split train and test
  38. pick a question to solve
  39. 72
  40. correct bad labels

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