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AI for students lesson 23: Design a tiny AI project · Set 990 · 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 improve data, retest? (a) work out the accuracy (b) improve data, retest
  2. 2.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
  3. 3.📋 Planning an AI project: which comes first — gather many examples or correct bad labels? (a) gather many examples (b) correct bad labels
  4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
  5. 5.📋 Planning an AI project: which comes first — let it learn patterns or work out the accuracy? (a) let it learn patterns (b) work out the accuracy
  6. 6.❌ Tara’s leaf identifier was tested on 49 new leaf photos and got 44 right. How many did it get wrong?
  7. 7.🎯 Diya’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
  9. 9.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
  10. 10.📋 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
  11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
  12. 12.❌ Ishaan’s leaf identifier was tested on 35 new leaf photos and got 27 right. How many did it get wrong?
  13. 13.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
  14. 14.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 46 right and Model B got 25 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  17. 17.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
  18. 18.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
  19. 19.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 5 right. What is its accuracy in percent?
  20. 20.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
  21. 21.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
  22. 22.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  23. 23.🎯 Ishaan’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
  25. 25.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  26. 26.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 49 right and Model B got 47 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  28. 28.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  29. 29.🎯 Saanvi’s handwriting reader is 90% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  30. 30.📦 Nisha collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 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
  32. 32.📦 Diya collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Tara’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
  34. 34.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  35. 35.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 17 right and Model B got 16 right. How many percentage points more accurate is Model A?
  36. 36.📋 Planning an AI project: which comes first — calculate percent right or recheck every label? (a) calculate percent right (b) recheck every label
  37. 37.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 19 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  39. 39.🎯 Saanvi’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels

Answer key

  1. work out the accuracy
  2. tag each photo by type
  3. gather many examples
  4. correct ÷ total × 100
  5. let it learn patterns
  6. 5
  7. 60
  8. more labelled examples
  9. 100
  10. split train and test
  11. to see if it learned
  12. 8
  13. pick a question to solve
  14. 42
  15. 56
  16. split train and test
  17. 25
  18. paper and examples
  19. 50
  20. set aside test photos
  21. recheck every label
  22. calculate percent right
  23. 16
  24. set aside test photos
  25. 18
  26. 4
  27. split train and test
  28. try unseen examples
  29. 27
  30. 40
  31. calculate percent right
  32. 152
  33. 50
  34. 100
  35. 5
  36. recheck every label
  37. 95
  38. try unseen examples
  39. 100
  40. correct bad labels

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