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AI for students lesson 23: Design a tiny AI project · Set 678 · 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 — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
  2. 2.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  3. 3.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  4. 4.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
  5. 5.📋 Planning an AI project: which comes first — try unseen examples or collect fruit photos? (a) try unseen examples (b) collect fruit photos
  6. 6.📋 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
  7. 7.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
  8. 8.🎯 Meera’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
  9. 9.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2
  10. 10.📦 Aarav collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  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.🧪 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
  14. 14.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  15. 15.📋 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
  16. 16.❌ Arjun’s fruit sorter was tested on 50 new fruit photos and got 44 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
  18. 18.🎯 Diya’s leaf identifier was tested on 50 new leaf photos and got 42 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — let it learn patterns or collect fruit photos? (a) let it learn patterns (b) collect fruit photos
  20. 20.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 40 new messages, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — label each example or work out the accuracy? (a) label each example (b) work out the accuracy
  22. 22.🎯 Kabir’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
  23. 23.📋 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
  24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  25. 25.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  26. 26.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  27. 27.🎯 Ananya’s fruit sorter was tested on 25 new fruit photos and got 14 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  29. 29.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  30. 30.📋 Planning an AI project: which comes first — recheck every label or work out the accuracy? (a) recheck every label (b) work out the accuracy
  31. 31.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 18 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 33 right. What is its accuracy in percent?
  33. 33.❌ Saanvi’s recycling sorter was tested on 36 new waste photos and got 29 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — improve data, retest or set aside test photos? (a) improve data, retest (b) set aside test photos
  35. 35.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  36. 36.❌ Vihaan’s leaf identifier was tested on 19 new leaf photos and got 11 right. How many did it get wrong?
  37. 37.🎯 Vihaan’s leaf identifier is 80% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  38. 38.📋 Planning an AI project: which comes first — choose what to sort or let it learn patterns? (a) choose what to sort (b) let it learn patterns
  39. 39.🎯 Aarav’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos

Answer key

  1. split train and test
  2. 15
  3. 35
  4. correct bad labels
  5. collect fruit photos
  6. tag each photo by type
  7. label each example
  8. 60
  9. correct ÷ total × 100
  10. 80
  11. to see if it learned
  12. test on new photos
  13. paper and examples
  14. correct bad labels
  15. calculate percent right
  16. 6
  17. gather many examples
  18. 84
  19. collect fruit photos
  20. 36
  21. label each example
  22. 6
  23. pick a question to solve
  24. more labelled examples
  25. 10
  26. work out the accuracy
  27. 56
  28. train the model
  29. try unseen examples
  30. recheck every label
  31. 5
  32. 66
  33. 7
  34. set aside test photos
  35. 30
  36. 8
  37. 24
  38. choose what to sort
  39. 70
  40. collect fruit photos

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