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AI for students lesson 23: Design a tiny AI project · Set 305 · 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.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) total − correct (d) correct ÷ total × 100
  2. 2.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  3. 3.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
  4. 4.🎯 Meera’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
  5. 5.🎯 Arjun’s recycling sorter was tested on 10 new waste photos and got 6 right. What is its accuracy in percent?
  6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) nothing at all (d) paper and examples
  7. 7.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 90 new messages, how many should it get right?
  8. 8.🎯 Aarav’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
  9. 9.🎯 Arjun’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  10. 10.🎯 Tara’s leaf identifier is 70% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  11. 11.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 22 right. What is its accuracy in percent?
  12. 12.❌ Rohan’s fruit sorter was tested on 35 new fruit photos and got 30 right. How many did it get wrong?
  13. 13.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
  14. 14.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
  15. 15.📦 Ananya collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  16. 16.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  18. 18.📋 Planning an AI project: which comes first — tag each photo by type or split train and test? (a) tag each photo by type (b) split train and test
  19. 19.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 15 right and Model B got 12 right. How many percentage points more accurate is Model A?
  20. 20.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
  21. 21.❌ Meera’s bird-song app was tested on 38 new bird songs and got 34 right. How many did it get wrong?
  22. 22.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  23. 23.❌ Aarav’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
  24. 24.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or choose what to sort? (a) correct bad labels (b) choose what to sort
  26. 26.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — choose what to sort or test on new photos? (a) choose what to sort (b) test on new photos
  28. 28.📦 Rohan collected 60 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  29. 29.🎯 Kabir’s fruit sorter is 50% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  30. 30.🎯 Kabir’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
  31. 31.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  32. 32.📦 Ananya collected 80 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — fix it and test again or train the model? (a) fix it and test again (b) train the model
  34. 34.📋 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
  35. 35.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) fewer examples (c) a louder speaker (d) a new colour screen
  36. 36.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 14 right. How many did it get wrong?
  37. 37.🎯 Aarav’s spam spotter was tested on 50 new messages and got 30 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  39. 39.📦 Meera collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  40. 40.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?

Answer key

  1. correct ÷ total × 100
  2. 75
  3. correct bad labels
  4. 100
  5. 60
  6. paper and examples
  7. 54
  8. 72
  9. 50
  10. 49
  11. 88
  12. 5
  13. pick a question to solve
  14. 20
  15. 128
  16. 10
  17. to see if it learned
  18. tag each photo by type
  19. 15
  20. collect fruit photos
  21. 4
  22. try unseen examples
  23. 5
  24. 6
  25. choose what to sort
  26. 75
  27. choose what to sort
  28. 48
  29. 40
  30. 50
  31. label each example
  32. 64
  33. train the model
  34. calculate percent right
  35. more labelled examples
  36. 1
  37. 60
  38. work out the accuracy
  39. 48
  40. 50

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