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AI for students lesson 23: Design a tiny AI project · Set 20 · 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.📦 Nisha collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  2. 2.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  3. 3.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
  4. 4.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  5. 5.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
  6. 6.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
  7. 7.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 20 right. How many percentage points more accurate is Model A?
  8. 8.🎯 Aarav’s handwriting reader was tested on 50 new handwritten letters and got 33 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
  10. 10.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) nothing at all (d) only a big robot
  11. 11.🎯 Saanvi’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
  12. 12.📋 Planning an AI project: which comes first — recheck every label or fix it and test again? (a) recheck every label (b) fix it and test again
  13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  14. 14.📋 Planning an AI project: which comes first — tag each photo by type or test on new photos? (a) tag each photo by type (b) test on new photos
  15. 15.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  17. 17.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 60 new bird songs, how many should it get right?
  19. 19.📋 Planning an AI project: which comes first — correct bad labels or try unseen examples? (a) correct bad labels (b) try unseen examples
  20. 20.📦 Diya collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  21. 21.🎯 Ananya’s bird-song app was tested on 25 new bird songs and got 24 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
  23. 23.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
  24. 24.❌ Kabir’s spam spotter was tested on 50 new messages and got 48 right. How many did it get wrong?
  25. 25.📦 Vihaan collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — let it learn patterns or fix it and test again? (a) let it learn patterns (b) fix it and test again
  27. 27.🎯 Kabir’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  29. 29.📦 Nisha collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  30. 30.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  31. 31.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?
  33. 33.🎯 Kabir’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  34. 34.🎯 Meera’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  36. 36.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  37. 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
  38. 38.❌ Ishaan’s fruit sorter was tested on 49 new fruit photos and got 43 right. How many did it get wrong?
  39. 39.📋 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
  40. 40.📦 Saanvi collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 128
  2. 50
  3. correct ÷ total × 100
  4. 5
  5. pick a question to solve
  6. pick a question to solve
  7. 16
  8. 66
  9. choose what to sort
  10. paper and examples
  11. 100
  12. recheck every label
  13. to see if it learned
  14. tag each photo by type
  15. work out the accuracy
  16. try unseen examples
  17. 40
  18. 30
  19. correct bad labels
  20. 40
  21. 96
  22. label each example
  23. more labelled examples
  24. 2
  25. 96
  26. let it learn patterns
  27. 50
  28. calculate percent right
  29. 120
  30. 30
  31. 4
  32. 54
  33. 50
  34. 80
  35. let it learn patterns
  36. 96
  37. 10
  38. 6
  39. let it learn patterns
  40. 96

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