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AI for students lesson 23: Design a tiny AI project · Set 427 · 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.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) only a big robot (d) paper and examples
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  3. 3.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  4. 4.❌ Nisha’s handwriting reader was tested on 17 new handwritten letters and got 14 right. How many did it get wrong?
  5. 5.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  6. 6.📦 Ananya collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  8. 8.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 14 right. How many did it get wrong?
  9. 9.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  10. 10.📦 Tara collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  11. 11.📋 Planning an AI project: which comes first — calculate percent right or collect fruit photos? (a) calculate percent right (b) collect fruit photos
  12. 12.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  13. 13.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
  14. 14.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct + total (d) correct ÷ total × 100
  15. 15.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  16. 16.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  17. 17.📦 Rohan collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.📦 Ishaan collected 170 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  19. 19.📦 Ananya collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  20. 20.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  21. 21.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
  22. 22.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  23. 23.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  24. 24.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  25. 25.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  26. 26.🎯 Rohan’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
  27. 27.🎯 Saanvi’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
  28. 28.🎯 Tara’s leaf identifier was tested on 10 new leaf photos and got 10 right. What is its accuracy in percent?
  29. 29.🎯 Kabir’s leaf identifier was tested on 20 new leaf photos and got 11 right. What is its accuracy in percent?
  30. 30.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  31. 31.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  32. 32.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  33. 33.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 47 right. What is its accuracy in percent?
  34. 34.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
  35. 35.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  36. 36.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 18 right. How many percentage points more accurate is Model A?
  37. 37.❌ Saanvi’s spam spotter was tested on 26 new messages and got 23 right. How many did it get wrong?
  38. 38.📦 Ishaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.❌ Arjun’s leaf identifier was tested on 43 new leaf photos and got 37 right. How many did it get wrong?
  40. 40.📋 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

Answer key

  1. paper and examples
  2. more labelled examples
  3. test on new photos
  4. 3
  5. gather many examples
  6. 120
  7. to see if it learned
  8. 6
  9. 50
  10. 136
  11. collect fruit photos
  12. 32
  13. collect fruit photos
  14. correct ÷ total × 100
  15. calculate percent right
  16. correct bad labels
  17. 104
  18. 136
  19. 112
  20. 80
  21. pick a question to solve
  22. correct bad labels
  23. tag each photo by type
  24. collect fruit photos
  25. test on new photos
  26. 76
  27. 50
  28. 100
  29. 55
  30. 18
  31. train the model
  32. let it learn patterns
  33. 94
  34. gather many examples
  35. 60
  36. 28
  37. 3
  38. 80
  39. 6
  40. work out the accuracy

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