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AI for students lesson 23: Design a tiny AI project · Set 677 · 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.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  2. 2.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 6 right. How many percentage points more accurate is Model A?
  3. 3.📦 Tara collected 50 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 — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  5. 5.🎯 Nisha’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  6. 6.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  7. 7.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  8. 8.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
  9. 9.📦 Saanvi collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  10. 10.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
  11. 11.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 100 new waste photos, how many should it get right?
  12. 12.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  13. 13.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  14. 14.❌ Arjun’s handwriting reader was tested on 43 new handwritten letters and got 39 right. How many did it get wrong?
  15. 15.🎯 Arjun’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  16. 16.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
  17. 17.❌ Diya’s fruit sorter was tested on 12 new fruit photos and got 10 right. How many did it get wrong?
  18. 18.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  19. 19.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
  20. 20.🎯 Saanvi’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) a new colour screen (d) fewer examples
  22. 22.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
  23. 23.❌ Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 45 right. How many did it get wrong?
  24. 24.📋 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
  25. 25.🎯 Saanvi’s recycling sorter was tested on 20 new waste photos and got 18 right. What is its accuracy in percent?
  26. 26.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 19 right and Model B got 12 right. How many percentage points more accurate is Model A?
  27. 27.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  29. 29.❌ Vihaan’s recycling sorter was tested on 42 new waste photos and got 37 right. How many did it get wrong?
  30. 30.🎯 Tara’s bird-song app is 90% accurate. If it is tested on 100 new bird songs, how many should it get right?
  31. 31.🎯 Arjun’s spam spotter was tested on 10 new messages and got 7 right. What is its accuracy in percent?
  32. 32.🎯 Ananya’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
  33. 33.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  34. 34.🎯 Arjun’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  36. 36.🎯 Aarav’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  38. 38.📋 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
  39. 39.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — choose what to sort or fix it and test again? (a) choose what to sort (b) fix it and test again

Answer key

  1. 10
  2. 40
  3. 40
  4. work out the accuracy
  5. 56
  6. 50
  7. correct ÷ total × 100
  8. 5
  9. 64
  10. collect fruit photos
  11. 70
  12. to see if it learned
  13. 20
  14. 4
  15. 50
  16. correct bad labels
  17. 2
  18. 20
  19. 28
  20. 28
  21. more labelled examples
  22. pick a question to solve
  23. 5
  24. pick a question to solve
  25. 90
  26. 35
  27. 70
  28. split train and test
  29. 5
  30. 90
  31. 70
  32. 56
  33. 9
  34. 75
  35. collect fruit photos
  36. 60
  37. correct bad labels
  38. work out the accuracy
  39. 30
  40. choose what to sort

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