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AI for students lesson 23: Design a tiny AI project · Set 972 · 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.📦 Diya collected 180 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  2. 2.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 37 right and Model B got 32 right. How many percentage points more accurate is Model A?
  3. 3.❌ Ishaan’s recycling sorter was tested on 31 new waste photos and got 27 right. How many did it get wrong?
  4. 4.📋 Planning an AI project: which comes first — label each example or train the model? (a) label each example (b) train the model
  5. 5.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 15 right and Model B got 13 right. How many percentage points more accurate is Model A?
  6. 6.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  7. 7.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 80 new waste photos, how many should it get right?
  8. 8.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  9. 9.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 19 right. How many percentage points more accurate is Model A?
  10. 10.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Meera’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  12. 12.🧪 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
  13. 13.🎯 Vihaan’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
  14. 14.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
  15. 15.📦 Diya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) total × 2 (d) correct + total
  17. 17.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  18. 18.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  19. 19.🧪 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
  20. 20.📦 Vihaan collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 30 right. What is its accuracy in percent?
  22. 22.📦 Rohan collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  23. 23.🎯 Ishaan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
  25. 25.📦 Kabir collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.❌ Nisha’s leaf identifier was tested on 18 new leaf photos and got 15 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
  28. 28.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
  29. 29.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
  30. 30.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
  31. 31.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
  32. 32.📋 Planning an AI project: which comes first — gather many examples or test on new photos? (a) gather many examples (b) test on new photos
  33. 33.📋 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
  34. 34.❌ Arjun’s recycling sorter was tested on 32 new waste photos and got 23 right. How many did it get wrong?
  35. 35.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  37. 37.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  38. 38.📋 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
  39. 39.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  40. 40.📋 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

Answer key

  1. 144
  2. 10
  3. 4
  4. label each example
  5. 10
  6. recheck every label
  7. 72
  8. 72
  9. 12
  10. 4
  11. 48
  12. to see if it learned
  13. 60
  14. 12
  15. 40
  16. correct ÷ total × 100
  17. 20
  18. 100
  19. paper and examples
  20. 48
  21. 60
  22. 56
  23. 50
  24. tag each photo by type
  25. 120
  26. 3
  27. pick a question to solve
  28. tag each photo by type
  29. 25
  30. label each example
  31. label each example
  32. gather many examples
  33. work out the accuracy
  34. 9
  35. 80
  36. calculate percent right
  37. work out the accuracy
  38. calculate percent right
  39. let it learn patterns
  40. tag each photo by type

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