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AI for students lesson 23: Design a tiny AI project · Set 404 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  2. 2.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
  3. 3.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  4. 4.❌ Diya’s fruit sorter was tested on 21 new fruit photos and got 19 right. How many did it get wrong?
  5. 5.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  6. 6.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) nothing at all (d) a secret password
  7. 7.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  8. 8.📦 Diya collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  9. 9.❌ Diya’s bird-song app was tested on 20 new bird songs and got 15 right. How many did it get wrong?
  10. 10.🎯 Rohan’s leaf identifier was tested on 10 new leaf photos and got 6 right. What is its accuracy in percent?
  11. 11.🎯 Aarav’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
  12. 12.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  13. 13.❌ Saanvi’s spam spotter was tested on 38 new messages and got 29 right. How many did it get wrong?
  14. 14.🎯 Kabir’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  15. 15.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  16. 16.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 25 right and Model B got 23 right. How many percentage points more accurate is Model A?
  17. 17.🎯 Tara’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  18. 18.❌ Aarav’s recycling sorter was tested on 46 new waste photos and got 45 right. How many did it get wrong?
  19. 19.🎯 Saanvi’s leaf identifier was tested on 50 new leaf photos and got 41 right. What is its accuracy in percent?
  20. 20.🎯 Kabir’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
  21. 21.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  22. 22.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
  23. 23.📦 Diya collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  24. 24.🎯 Ananya’s recycling sorter is 80% accurate. If it is tested on 40 new waste photos, how many should it get right?
  25. 25.📋 Planning an AI project: which comes first — let it learn patterns or try unseen examples? (a) let it learn patterns (b) try unseen examples
  26. 26.🎯 Tara’s fruit sorter was tested on 50 new fruit photos and got 48 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  28. 28.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
  29. 29.🎯 Ananya’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
  30. 30.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 49 right and Model B got 28 right. How many percentage points more accurate is Model A?
  31. 31.❌ Aarav’s leaf identifier was tested on 43 new leaf photos and got 40 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — pick a question to solve or try unseen examples? (a) pick a question to solve (b) try unseen examples
  33. 33.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
  34. 34.🎯 Ananya’s recycling sorter was tested on 25 new waste photos and got 20 right. What is its accuracy in percent?
  35. 35.🎯 Nisha’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
  36. 36.🎯 Rohan’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
  37. 37.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 31 right and Model B got 28 right. How many percentage points more accurate is Model A?
  38. 38.🎯 Rohan’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
  39. 39.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  40. 40.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?

Answer key

  1. correct ÷ total × 100
  2. tag each photo by type
  3. test on new photos
  4. 2
  5. correct bad labels
  6. paper and examples
  7. 50
  8. 64
  9. 5
  10. 60
  11. 100
  12. 60
  13. 9
  14. 14
  15. collect fruit photos
  16. 8
  17. 5
  18. 1
  19. 82
  20. 15
  21. 4
  22. label each example
  23. 112
  24. 32
  25. let it learn patterns
  26. 96
  27. calculate percent right
  28. tag each photo by type
  29. 80
  30. 42
  31. 3
  32. pick a question to solve
  33. 4
  34. 80
  35. 100
  36. 95
  37. 6
  38. 100
  39. more labelled examples
  40. 35

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