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AI for students lesson 23: Design a tiny AI project · Set 886 · 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.🎯 Ananya’s fruit sorter was tested on 10 new fruit photos and got 5 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
  3. 3.📦 Nisha collected 50 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  4. 4.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  6. 6.📋 Planning an AI project: which comes first — try unseen examples or gather many examples? (a) try unseen examples (b) gather many examples
  7. 7.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
  8. 8.🧪 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
  9. 9.⚖️ 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?
  10. 10.🎯 Saanvi’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  12. 12.🎯 Meera’s handwriting reader was tested on 50 new handwritten letters and got 31 right. What is its accuracy in percent?
  13. 13.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  14. 14.📦 Diya collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  15. 15.📦 Vihaan collected 190 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Nisha’s handwriting reader was tested on 4 new handwritten letters and got 4 right. What is its accuracy in percent?
  17. 17.🎯 Diya’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
  18. 18.📋 Planning an AI project: which comes first — tag each photo by type or improve data, retest? (a) tag each photo by type (b) improve data, retest
  19. 19.❌ Ishaan’s bird-song app was tested on 20 new bird songs and got 16 right. How many did it get wrong?
  20. 20.🎯 Aarav’s bird-song app is 80% accurate. If it is tested on 60 new bird songs, how many should it get right?
  21. 21.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 10 new messages, how many should it get right?
  22. 22.📋 Planning an AI project: which comes first — try unseen examples or pick a question to solve? (a) try unseen examples (b) pick a question to solve
  23. 23.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  24. 24.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
  25. 25.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 19 right and Model B got 14 right. How many percentage points more accurate is Model A?
  26. 26.❌ Tara’s recycling sorter was tested on 34 new waste photos and got 32 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
  28. 28.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 45 right and Model B got 42 right. How many percentage points more accurate is Model A?
  29. 29.❌ Aarav’s bird-song app was tested on 26 new bird songs and got 19 right. How many did it get wrong?
  30. 30.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  31. 31.❌ Ishaan’s leaf identifier was tested on 15 new leaf photos and got 12 right. How many did it get wrong?
  32. 32.❌ Vihaan’s fruit sorter was tested on 15 new fruit photos and got 12 right. How many did it get wrong?
  33. 33.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  34. 34.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  35. 35.📋 Planning an AI project: which comes first — choose what to sort or split train and test? (a) choose what to sort (b) split train and test
  36. 36.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total − correct (d) total × 2
  37. 37.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 15 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
  39. 39.📋 Planning an AI project: which comes first — recheck every label or train the model? (a) recheck every label (b) train the model
  40. 40.🎯 Arjun’s bird-song app is 90% accurate. If it is tested on 80 new bird songs, how many should it get right?

Answer key

  1. 50
  2. label each example
  3. 40
  4. 100
  5. train the model
  6. gather many examples
  7. more labelled examples
  8. to see if it learned
  9. 35
  10. 50
  11. paper and examples
  12. 62
  13. 100
  14. 32
  15. 152
  16. 100
  17. 30
  18. tag each photo by type
  19. 4
  20. 48
  21. 6
  22. pick a question to solve
  23. pick a question to solve
  24. pick a question to solve
  25. 25
  26. 2
  27. collect fruit photos
  28. 6
  29. 7
  30. work out the accuracy
  31. 3
  32. 3
  33. work out the accuracy
  34. try unseen examples
  35. choose what to sort
  36. correct ÷ total × 100
  37. 15
  38. set aside test photos
  39. recheck every label
  40. 72

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