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AI for students lesson 23: Design a tiny AI project · Set 940 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
  2. 2.❌ Diya’s bird-song app was tested on 37 new bird songs and got 31 right. How many did it get wrong?
  3. 3.📋 Planning an AI project: which comes first — correct bad labels or train the model? (a) correct bad labels (b) train the model
  4. 4.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve
  5. 5.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
  6. 6.📋 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
  7. 7.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  10. 10.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
  11. 11.🎯 Nisha’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  12. 12.🎯 Tara’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  13. 13.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  14. 14.📋 Planning an AI project: which comes first — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
  15. 15.🎯 Rohan’s leaf identifier was tested on 5 new leaf photos and got 3 right. What is its accuracy in percent?
  16. 16.📦 Vihaan collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 43 right and Model B got 38 right. How many percentage points more accurate is Model A?
  18. 18.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  19. 19.🧪 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
  20. 20.🎯 Kabir’s leaf identifier was tested on 50 new leaf photos and got 27 right. What is its accuracy in percent?
  21. 21.📋 Planning an AI project: which comes first — gather many examples or fix it and test again? (a) gather many examples (b) fix it and test again
  22. 22.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  23. 23.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  24. 24.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  25. 25.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  26. 26.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  27. 27.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  28. 28.📋 Planning an AI project: which comes first — choose what to sort or gather many examples? (a) choose what to sort (b) gather many examples
  29. 29.📦 Kabir collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
  31. 31.📋 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
  32. 32.❌ Aarav’s recycling sorter was tested on 25 new waste photos and got 19 right. How many did it get wrong?
  33. 33.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 45 right and Model B got 44 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — choose what to sort or improve data, retest? (a) choose what to sort (b) improve data, retest
  35. 35.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  36. 36.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  37. 37.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
  38. 38.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  39. 39.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 20 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model

Answer key

  1. more labelled examples
  2. 6
  3. correct bad labels
  4. pick a question to solve
  5. correct ÷ total × 100
  6. pick a question to solve
  7. 10
  8. 4
  9. to see if it learned
  10. let it learn patterns
  11. 60
  12. 75
  13. 48
  14. pick a question to solve
  15. 60
  16. 64
  17. 10
  18. 40
  19. paper and examples
  20. 54
  21. gather many examples
  22. work out the accuracy
  23. try unseen examples
  24. train the model
  25. let it learn patterns
  26. try unseen examples
  27. 10
  28. choose what to sort
  29. 152
  30. correct bad labels
  31. test on new photos
  32. 6
  33. 2
  34. choose what to sort
  35. 40
  36. 36
  37. collect fruit photos
  38. 75
  39. 20
  40. train the model

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