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AI for students lesson 23: Design a tiny AI project · Set 486 · 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 — recheck every label or set aside test photos? (a) recheck every label (b) set aside test photos
  2. 2.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  3. 3.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  4. 4.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
  6. 6.🎯 Tara’s handwriting reader was tested on 25 new handwritten letters and got 16 right. What is its accuracy in percent?
  7. 7.❌ Meera’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
  8. 8.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
  9. 9.🎯 Vihaan’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
  10. 10.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 20 right and Model B got 16 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Ishaan’s spam spotter is 50% accurate. If it is tested on 50 new messages, how many should it get right?
  12. 12.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  13. 13.📦 Nisha collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.🎯 Saanvi’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  15. 15.❌ Diya’s leaf identifier was tested on 40 new leaf photos and got 39 right. How many did it get wrong?
  16. 16.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or collect fruit photos? (a) work out the accuracy (b) collect fruit photos
  18. 18.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 4 right. What is its accuracy in percent?
  19. 19.❌ Meera’s leaf identifier was tested on 26 new leaf photos and got 22 right. How many did it get wrong?
  20. 20.❌ Vihaan’s spam spotter was tested on 18 new messages and got 13 right. How many did it get wrong?
  21. 21.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  22. 22.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
  23. 23.❌ Ishaan’s fruit sorter was tested on 43 new fruit photos and got 39 right. How many did it get wrong?
  24. 24.🎯 Kabir’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
  25. 25.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
  26. 26.❌ Arjun’s bird-song app was tested on 27 new bird songs and got 18 right. How many did it get wrong?
  27. 27.❌ Saanvi’s spam spotter was tested on 23 new messages and got 21 right. How many did it get wrong?
  28. 28.📋 Planning an AI project: which comes first — work out the accuracy or set aside test photos? (a) work out the accuracy (b) set aside test photos
  29. 29.🎯 Vihaan’s leaf identifier was tested on 10 new leaf photos and got 7 right. What is its accuracy in percent?
  30. 30.📦 Diya collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  31. 31.❌ Meera’s leaf identifier was tested on 23 new leaf photos and got 21 right. How many did it get wrong?
  32. 32.📦 Tara collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Diya’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
  34. 34.🎯 Nisha’s recycling sorter was tested on 50 new waste photos and got 50 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  36. 36.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  37. 37.🎯 Arjun’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  38. 38.🎯 Kabir’s bird-song app is 90% accurate. If it is tested on 60 new bird songs, how many should it get right?
  39. 39.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns

Answer key

  1. recheck every label
  2. correct ÷ total × 100
  3. work out the accuracy
  4. gather many examples
  5. to see if it learned
  6. 64
  7. 5
  8. 16
  9. 60
  10. 16
  11. 25
  12. try unseen examples
  13. 152
  14. 75
  15. 1
  16. 10
  17. collect fruit photos
  18. 80
  19. 4
  20. 5
  21. label each example
  22. paper and examples
  23. 4
  24. 95
  25. choose what to sort
  26. 9
  27. 2
  28. set aside test photos
  29. 70
  30. 112
  31. 2
  32. 152
  33. 100
  34. 100
  35. test on new photos
  36. 72
  37. 50
  38. 54
  39. 56
  40. let it learn patterns

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