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AI for students lesson 23: Design a tiny AI project · Set 378 · 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 — improve data, retest or train the model? (a) improve data, retest (b) train the model
  2. 2.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
  3. 3.❌ Ishaan’s fruit sorter was tested on 36 new fruit photos and got 35 right. How many did it get wrong?
  4. 4.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  5. 5.📦 Diya collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
  7. 7.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  8. 8.📋 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
  9. 9.❌ Meera’s handwriting reader was tested on 18 new handwritten letters and got 16 right. How many did it get wrong?
  10. 10.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  11. 11.📋 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
  12. 12.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  13. 13.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
  14. 14.📦 Aarav collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  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.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
  17. 17.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  18. 18.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
  20. 20.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  22. 22.📋 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
  23. 23.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  24. 24.🎯 Nisha’s fruit sorter is 80% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  25. 25.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
  26. 26.📦 Meera collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  27. 27.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 14 right. How many percentage points more accurate is Model A?
  28. 28.🎯 Kabir’s recycling sorter is 80% accurate. If it is tested on 50 new waste photos, how many should it get right?
  29. 29.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  30. 30.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  31. 31.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  33. 33.🎯 Kabir’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
  34. 34.📋 Planning an AI project: which comes first — recheck every label or collect fruit photos? (a) recheck every label (b) collect fruit photos
  35. 35.🎯 Saanvi’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
  37. 37.❌ Rohan’s spam spotter was tested on 37 new messages and got 31 right. How many did it get wrong?
  38. 38.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 16 right. What is its accuracy in percent?
  39. 39.📦 Arjun collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  40. 40.🎯 Diya’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?

Answer key

  1. train the model
  2. recheck every label
  3. 1
  4. train the model
  5. 120
  6. to see if it learned
  7. train the model
  8. work out the accuracy
  9. 2
  10. try unseen examples
  11. pick a question to solve
  12. 54
  13. 100
  14. 64
  15. calculate percent right
  16. paper and examples
  17. 30
  18. correct ÷ total × 100
  19. more labelled examples
  20. 36
  21. train the model
  22. calculate percent right
  23. split train and test
  24. 24
  25. tag each photo by type
  26. 160
  27. 36
  28. 40
  29. recheck every label
  30. 4
  31. 30
  32. 100
  33. 85
  34. collect fruit photos
  35. 7
  36. set aside test photos
  37. 6
  38. 80
  39. 112
  40. 60

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