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AI for students lesson 23: Design a tiny AI project · Set 212 · 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 — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  2. 2.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 90 new messages, how many should it get right?
  3. 3.📦 Aarav collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  4. 4.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  5. 5.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  6. 6.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
  7. 7.📋 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
  8. 8.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  9. 9.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
  10. 10.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  11. 11.🎯 Aarav’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  12. 12.🎯 Ishaan’s fruit sorter is 80% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  13. 13.📦 Diya collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
  15. 15.📦 Rohan collected 90 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  16. 16.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 34 right. How many percentage points more accurate is Model A?
  17. 17.📦 Rohan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 18 right. How many percentage points more accurate is Model A?
  19. 19.📋 Planning an AI project: which comes first — train the model or split train and test? (a) train the model (b) split train and test
  20. 20.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
  21. 21.🎯 Arjun’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
  22. 22.🧪 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 save paper (d) to make it bigger
  23. 23.📦 Diya collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  24. 24.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  25. 25.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  26. 26.🎯 Nisha’s bird-song app is 90% accurate. If it is tested on 20 new bird songs, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  28. 28.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 90 new messages, how many should it get right?
  29. 29.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
  30. 30.🧪 What is accuracy? (a) total − correct (b) correct + total (c) total × 2 (d) correct ÷ total × 100
  31. 31.❌ Nisha’s spam spotter was tested on 44 new messages and got 42 right. How many did it get wrong?
  32. 32.🎯 Kabir’s recycling sorter was tested on 25 new waste photos and got 16 right. What is its accuracy in percent?
  33. 33.🎯 Rohan’s spam spotter is 70% accurate. If it is tested on 20 new messages, how many should it get right?
  34. 34.🎯 Aarav’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
  36. 36.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  37. 37.📦 Rohan collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  38. 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  39. 39.❌ Nisha’s spam spotter was tested on 43 new messages and got 41 right. How many did it get wrong?
  40. 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos

Answer key

  1. test on new photos
  2. 63
  3. 112
  4. train the model
  5. train the model
  6. pick a question to solve
  7. calculate percent right
  8. 5
  9. correct bad labels
  10. 50
  11. 75
  12. 8
  13. 40
  14. choose what to sort
  15. 72
  16. 26
  17. 56
  18. 10
  19. split train and test
  20. tag each photo by type
  21. 76
  22. to see if it learned
  23. 80
  24. more labelled examples
  25. pick a question to solve
  26. 18
  27. split train and test
  28. 72
  29. paper and examples
  30. correct ÷ total × 100
  31. 2
  32. 64
  33. 14
  34. 100
  35. recheck every label
  36. label each example
  37. 64
  38. work out the accuracy
  39. 2
  40. train the model

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