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AI for students lesson 23: Design a tiny AI project · Set 928 · 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 try unseen examples? (a) work out the accuracy (b) try unseen examples
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
  3. 3.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
  4. 4.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 12 right. How many percentage points more accurate is Model A?
  5. 5.❌ Diya’s bird-song app was tested on 37 new bird songs and got 28 right. How many did it get wrong?
  6. 6.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  7. 7.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
  8. 8.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
  9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
  10. 10.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Meera’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  12. 12.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 10 new bird songs, how many should it get right?
  13. 13.🎯 Vihaan’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
  14. 14.❌ Meera’s bird-song app was tested on 29 new bird songs and got 20 right. How many did it get wrong?
  15. 15.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  17. 17.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  18. 18.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  19. 19.🎯 Diya’s recycling sorter was tested on 25 new waste photos and got 15 right. What is its accuracy in percent?
  20. 20.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  21. 21.🎯 Diya’s handwriting reader was tested on 25 new handwritten letters and got 19 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — try unseen examples or recheck every label? (a) try unseen examples (b) recheck every label
  23. 23.📦 Rohan collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  24. 24.❌ Saanvi’s leaf identifier was tested on 18 new leaf photos and got 14 right. How many did it get wrong?
  25. 25.📋 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
  26. 26.🎯 Tara’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  28. 28.🎯 Ananya’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  29. 29.📦 Vihaan collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  30. 30.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
  31. 31.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 50 right. What is its accuracy in percent?
  32. 32.📦 Aarav collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.❌ Saanvi’s bird-song app was tested on 26 new bird songs and got 18 right. How many did it get wrong?
  34. 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  35. 35.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  36. 36.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
  38. 38.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
  39. 39.🎯 Diya’s fruit sorter is 50% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right

Answer key

  1. try unseen examples
  2. more labelled examples
  3. choose what to sort
  4. 25
  5. 9
  6. correct bad labels
  7. 60
  8. 60
  9. to see if it learned
  10. 20
  11. 100
  12. 8
  13. 80
  14. 9
  15. paper and examples
  16. collect fruit photos
  17. split train and test
  18. 35
  19. 60
  20. 5
  21. 76
  22. recheck every label
  23. 72
  24. 4
  25. let it learn patterns
  26. 8
  27. try unseen examples
  28. 35
  29. 56
  30. correct ÷ total × 100
  31. 100
  32. 56
  33. 8
  34. 10
  35. gather many examples
  36. 144
  37. set aside test photos
  38. collect fruit photos
  39. 10
  40. try unseen examples

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