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AI for students lesson 23: Design a tiny AI project · Set 899 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  3. 3.🎯 Rohan’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) only a big robot (c) paper and examples (d) a secret password
  5. 5.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
  6. 6.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
  7. 7.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 17 right. What is its accuracy in percent?
  8. 8.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
  9. 9.📋 Planning an AI project: which comes first — split train and test or choose what to sort? (a) split train and test (b) choose what to sort
  10. 10.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 70 new bird songs, how many should it get right?
  11. 11.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 42 right and Model B got 41 right. How many percentage points more accurate is Model A?
  12. 12.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  13. 13.🎯 Kabir’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
  14. 14.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
  16. 16.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
  17. 17.📋 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
  18. 18.❌ Meera’s recycling sorter was tested on 36 new waste photos and got 35 right. How many did it get wrong?
  19. 19.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
  20. 20.📦 Kabir collected 110 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — collect fruit photos or let it learn patterns? (a) collect fruit photos (b) let it learn patterns
  22. 22.🎯 Meera’s leaf identifier is 60% accurate. If it is tested on 20 new leaf photos, how many should it get right?
  23. 23.❌ Tara’s spam spotter was tested on 38 new messages and got 34 right. How many did it get wrong?
  24. 24.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  25. 25.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 38 right and Model B got 25 right. How many percentage points more accurate is Model A?
  26. 26.❌ Nisha’s leaf identifier was tested on 19 new leaf photos and got 15 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  28. 28.❌ Saanvi’s leaf identifier was tested on 33 new leaf photos and got 29 right. How many did it get wrong?
  29. 29.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
  30. 30.📦 Diya collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  31. 31.📋 Planning an AI project: which comes first — work out the accuracy or gather many examples? (a) work out the accuracy (b) gather many examples
  32. 32.🎯 Ishaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  33. 33.📋 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
  34. 34.❌ Tara’s bird-song app was tested on 20 new bird songs and got 11 right. How many did it get wrong?
  35. 35.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
  36. 36.🎯 Arjun’s bird-song app was tested on 50 new bird songs and got 26 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  38. 38.🎯 Diya’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  39. 39.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 36 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos

Answer key

  1. to see if it learned
  2. more labelled examples
  3. 42
  4. paper and examples
  5. label each example
  6. correct ÷ total × 100
  7. 85
  8. 28
  9. choose what to sort
  10. 42
  11. 2
  12. calculate percent right
  13. 75
  14. 10
  15. choose what to sort
  16. label each example
  17. pick a question to solve
  18. 1
  19. pick a question to solve
  20. 88
  21. collect fruit photos
  22. 12
  23. 4
  24. 10
  25. 26
  26. 4
  27. split train and test
  28. 4
  29. 10
  30. 128
  31. gather many examples
  32. 50
  33. work out the accuracy
  34. 9
  35. train the model
  36. 52
  37. work out the accuracy
  38. 50
  39. 28
  40. let it learn patterns

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