← Design a tiny AI project lesson New set →

Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 520 · 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 — split train and test or fix it and test again? (a) split train and test (b) fix it and test again
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  3. 3.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
  4. 4.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  5. 5.📋 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
  6. 6.📦 Arjun collected 200 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 49 right and Model B got 43 right. How many percentage points more accurate is Model A?
  8. 8.❌ Ishaan’s recycling sorter was tested on 21 new waste photos and got 12 right. How many did it get wrong?
  9. 9.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
  10. 10.❌ Saanvi’s handwriting reader was tested on 28 new handwritten letters and got 25 right. How many did it get wrong?
  11. 11.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  12. 12.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  13. 13.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
  14. 14.📦 Aarav collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  15. 15.🎯 Saanvi’s fruit sorter is 50% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  16. 16.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  18. 18.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 12 right. How many percentage points more accurate is Model A?
  19. 19.❌ Kabir’s leaf identifier was tested on 38 new leaf photos and got 34 right. How many did it get wrong?
  20. 20.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  21. 21.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 18 right and Model B got 13 right. How many percentage points more accurate is Model A?
  22. 22.📋 Planning an AI project: which comes first — gather many examples or let it learn patterns? (a) gather many examples (b) let it learn patterns
  23. 23.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  24. 24.🎯 Arjun’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  25. 25.📋 Planning an AI project: which comes first — correct bad labels or fix it and test again? (a) correct bad labels (b) fix it and test again
  26. 26.📦 Rohan collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  27. 27.❌ Diya’s bird-song app was tested on 34 new bird songs and got 31 right. How many did it get wrong?
  28. 28.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
  29. 29.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 20 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — split train and test or work out the accuracy? (a) split train and test (b) work out the accuracy
  31. 31.❌ Arjun’s fruit sorter was tested on 22 new fruit photos and got 14 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  33. 33.🎯 Tara’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  35. 35.🎯 Vihaan’s spam spotter was tested on 20 new messages and got 19 right. What is its accuracy in percent?
  36. 36.📋 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
  37. 37.📦 Tara collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  38. 38.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
  39. 39.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  40. 40.📦 Meera collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. split train and test
  2. more labelled examples
  3. collect fruit photos
  4. correct ÷ total × 100
  5. train the model
  6. 160
  7. 12
  8. 9
  9. 40
  10. 3
  11. 20
  12. 80
  13. 30
  14. 32
  15. 30
  16. 63
  17. let it learn patterns
  18. 30
  19. 4
  20. to see if it learned
  21. 25
  22. gather many examples
  23. paper and examples
  24. 72
  25. correct bad labels
  26. 96
  27. 3
  28. gather many examples
  29. 100
  30. split train and test
  31. 8
  32. train the model
  33. 76
  34. calculate percent right
  35. 95
  36. pick a question to solve
  37. 32
  38. 90
  39. correct bad labels
  40. 144

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