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AI for students lesson 23: Design a tiny AI project · Set 377 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to make it faster (d) to see if it learned
  2. 2.📋 Planning an AI project: which comes first — set aside test photos or improve data, retest? (a) set aside test photos (b) improve data, retest
  3. 3.🎯 Saanvi’s recycling sorter is 60% accurate. If it is tested on 60 new waste photos, how many should it get right?
  4. 4.❌ Aarav’s fruit sorter was tested on 30 new fruit photos and got 28 right. How many did it get wrong?
  5. 5.⚖️ 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?
  6. 6.📦 Diya collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  7. 7.❌ Tara’s bird-song app was tested on 35 new bird songs and got 27 right. How many did it get wrong?
  8. 8.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  9. 9.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
  10. 10.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
  11. 11.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  12. 12.📦 Ishaan collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  13. 13.🎯 Nisha’s fruit sorter was tested on 50 new fruit photos and got 31 right. What is its accuracy in percent?
  14. 14.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 15 right. How many percentage points more accurate is Model A?
  15. 15.📦 Meera collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 4 right. What is its accuracy in percent?
  17. 17.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  18. 18.📦 Ishaan collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  19. 19.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  20. 20.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
  21. 21.🎯 Diya’s spam spotter was tested on 50 new messages and got 46 right. What is its accuracy in percent?
  22. 22.📦 Meera collected 80 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  23. 23.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  24. 24.📋 Planning an AI project: which comes first — pick a question to solve or test on new photos? (a) pick a question to solve (b) test on new photos
  25. 25.🎯 Ananya’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  27. 27.🎯 Ananya’s leaf identifier was tested on 25 new leaf photos and got 18 right. What is its accuracy in percent?
  28. 28.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
  29. 29.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
  30. 30.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
  31. 31.📋 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
  32. 32.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 20 right and Model B got 14 right. How many percentage points more accurate is Model A?
  33. 33.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  34. 34.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — gather many examples or pick a question to solve? (a) gather many examples (b) pick a question to solve
  36. 36.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  37. 37.🎯 Nisha’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
  38. 38.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  39. 39.🎯 Vihaan’s recycling sorter is 50% accurate. If it is tested on 10 new waste photos, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest

Answer key

  1. to see if it learned
  2. set aside test photos
  3. 36
  4. 2
  5. 30
  6. 112
  7. 8
  8. 90
  9. choose what to sort
  10. 55
  11. 35
  12. 104
  13. 62
  14. 28
  15. 144
  16. 80
  17. 100
  18. 96
  19. more labelled examples
  20. correct ÷ total × 100
  21. 92
  22. 64
  23. correct bad labels
  24. pick a question to solve
  25. 30
  26. let it learn patterns
  27. 72
  28. 10
  29. 15
  30. paper and examples
  31. calculate percent right
  32. 24
  33. try unseen examples
  34. 28
  35. pick a question to solve
  36. calculate percent right
  37. 10
  38. train the model
  39. 5
  40. let it learn patterns

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