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AI for students lesson 23: Design a tiny AI project · Set 48 · 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 work out the accuracy? (a) improve data, retest (b) work out the accuracy
  2. 2.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 5 right. What is its accuracy in percent?
  3. 3.📋 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
  4. 4.📋 Planning an AI project: which comes first — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
  5. 5.📦 Nisha collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  6. 6.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  7. 7.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  8. 8.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 7 right. What is its accuracy in percent?
  9. 9.📦 Aarav collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  10. 10.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  11. 11.❌ Rohan’s recycling sorter was tested on 43 new waste photos and got 41 right. How many did it get wrong?
  12. 12.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  13. 13.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 17 right. What is its accuracy in percent?
  14. 14.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  15. 15.🎯 Ananya’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 42 right and Model B got 37 right. How many percentage points more accurate is Model A?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
  18. 18.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
  19. 19.📦 Meera collected 110 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  20. 20.📦 Ishaan collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 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
  22. 22.🧪 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 bigger (d) to make it faster
  23. 23.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
  24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  25. 25.❌ Saanvi’s recycling sorter was tested on 44 new waste photos and got 42 right. How many did it get wrong?
  26. 26.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
  27. 27.🎯 Ishaan’s fruit sorter is 50% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  28. 28.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  29. 29.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  30. 30.🎯 Meera’s fruit sorter was tested on 50 new fruit photos and got 27 right. What is its accuracy in percent?
  31. 31.📦 Ishaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  32. 32.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  33. 33.🎯 Vihaan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  34. 34.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
  35. 35.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 6 right. What is its accuracy in percent?
  36. 36.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
  37. 37.🎯 Saanvi’s spam spotter was tested on 50 new messages and got 28 right. What is its accuracy in percent?
  38. 38.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  39. 39.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  40. 40.❌ Tara’s recycling sorter was tested on 43 new waste photos and got 34 right. How many did it get wrong?

Answer key

  1. work out the accuracy
  2. 50
  3. split train and test
  4. split train and test
  5. 48
  6. calculate percent right
  7. correct ÷ total × 100
  8. 70
  9. 64
  10. split train and test
  11. 2
  12. choose what to sort
  13. 85
  14. split train and test
  15. 40
  16. 10
  17. set aside test photos
  18. 25
  19. 88
  20. 56
  21. train the model
  22. to see if it learned
  23. paper and examples
  24. more labelled examples
  25. 2
  26. collect fruit photos
  27. 45
  28. 8
  29. collect fruit photos
  30. 54
  31. 32
  32. 14
  33. 60
  34. correct bad labels
  35. 60
  36. tag each photo by type
  37. 56
  38. 12
  39. test on new photos
  40. 9

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