← 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 982 · 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 — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  2. 2.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
  3. 3.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  4. 4.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
  5. 5.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
  6. 6.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
  7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  8. 8.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  9. 9.📋 Planning an AI project: which comes first — work out the accuracy or fix it and test again? (a) work out the accuracy (b) fix it and test again
  10. 10.❌ Diya’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
  11. 11.🎯 Rohan’s recycling sorter is 50% accurate. If it is tested on 80 new waste photos, how many should it get right?
  12. 12.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 18 right. How many percentage points more accurate is Model A?
  13. 13.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 16 right. What is its accuracy in percent?
  14. 14.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
  16. 16.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  17. 17.📦 Rohan collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Arjun’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  19. 19.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  20. 20.🎯 Vihaan’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
  21. 21.❌ Nisha’s recycling sorter was tested on 12 new waste photos and got 10 right. How many did it get wrong?
  22. 22.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 46 right and Model B got 45 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Ananya’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
  24. 24.🎯 Kabir’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  26. 26.📦 Tara collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
  28. 28.🎯 Aarav’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
  29. 29.📦 Tara collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 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
  31. 31.❌ Vihaan’s spam spotter was tested on 32 new messages and got 30 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
  33. 33.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 16 right and Model B got 13 right. How many percentage points more accurate is Model A?
  34. 34.🎯 Nisha’s fruit sorter was tested on 20 new fruit photos and got 11 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 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
  36. 36.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
  37. 37.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  38. 38.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  39. 39.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
  40. 40.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns

Answer key

  1. set aside test photos
  2. choose what to sort
  3. test on new photos
  4. label each example
  5. let it learn patterns
  6. paper and examples
  7. to see if it learned
  8. try unseen examples
  9. work out the accuracy
  10. 9
  11. 40
  12. 16
  13. 80
  14. 10
  15. gather many examples
  16. correct ÷ total × 100
  17. 48
  18. 75
  19. 7
  20. 76
  21. 2
  22. 2
  23. 90
  24. 100
  25. tag each photo by type
  26. 152
  27. more labelled examples
  28. 50
  29. 72
  30. train the model
  31. 2
  32. pick a question to solve
  33. 12
  34. 55
  35. 25
  36. 10
  37. label each example
  38. train the model
  39. collect fruit photos
  40. split train and test

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