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AI for students lesson 23: Design a tiny AI project · Set 764 · 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.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  2. 2.🎯 Ishaan’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
  3. 3.📋 Planning an AI project: which comes first — recheck every label or tag each photo by type? (a) recheck every label (b) tag each photo by type
  4. 4.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 37 right and Model B got 28 right. How many percentage points more accurate is Model A?
  5. 5.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
  6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  7. 7.📦 Ishaan collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  8. 8.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  9. 9.📦 Kabir collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  10. 10.📦 Saanvi collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  11. 11.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
  12. 12.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  13. 13.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  14. 14.❌ Kabir’s leaf identifier was tested on 22 new leaf photos and got 17 right. How many did it get wrong?
  15. 15.🧪 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
  16. 16.🎯 Ishaan’s recycling sorter is 60% accurate. If it is tested on 70 new waste photos, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  18. 18.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  19. 19.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
  20. 20.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 4 right. What is its accuracy in percent?
  21. 21.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  22. 22.📋 Planning an AI project: which comes first — set aside test photos or train the model? (a) set aside test photos (b) train the model
  23. 23.📦 Tara collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  24. 24.📦 Ishaan collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  25. 25.📦 Arjun collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  27. 27.🎯 Arjun’s handwriting reader is 80% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  28. 28.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  29. 29.📦 Vihaan collected 140 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  30. 30.❌ Vihaan’s fruit sorter was tested on 35 new fruit photos and got 32 right. How many did it get wrong?
  31. 31.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 31 right and Model B got 26 right. How many percentage points more accurate is Model A?
  32. 32.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  33. 33.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
  35. 35.🎯 Nisha’s bird-song app is 70% accurate. If it is tested on 20 new bird songs, how many should it get right?
  36. 36.📦 Diya collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  37. 37.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  39. 39.⚖️ 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?
  40. 40.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 10 new leaf photos, how many should it get right?

Answer key

  1. 64
  2. 10
  3. tag each photo by type
  4. 18
  5. 30
  6. more labelled examples
  7. 48
  8. gather many examples
  9. 88
  10. 160
  11. to see if it learned
  12. train the model
  13. calculate percent right
  14. 5
  15. paper and examples
  16. 42
  17. train the model
  18. try unseen examples
  19. correct ÷ total × 100
  20. 100
  21. pick a question to solve
  22. set aside test photos
  23. 120
  24. 120
  25. 40
  26. gather many examples
  27. 40
  28. work out the accuracy
  29. 112
  30. 3
  31. 10
  32. calculate percent right
  33. 8
  34. pick a question to solve
  35. 14
  36. 80
  37. recheck every label
  38. set aside test photos
  39. 40
  40. 5

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