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AI for students lesson 23: Design a tiny AI project · Set 898 · 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 — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  2. 2.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  3. 3.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) more labelled examples (d) fewer examples
  6. 6.❌ Saanvi’s spam spotter was tested on 39 new messages and got 37 right. How many did it get wrong?
  7. 7.❌ Rohan’s bird-song app was tested on 24 new bird songs and got 15 right. How many did it get wrong?
  8. 8.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  9. 9.🎯 Aarav’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
  10. 10.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  11. 11.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  12. 12.🎯 Ishaan’s recycling sorter was tested on 25 new waste photos and got 23 right. What is its accuracy in percent?
  13. 13.📦 Ananya collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.📦 Tara collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  15. 15.❌ Rohan’s bird-song app was tested on 29 new bird songs and got 27 right. How many did it get wrong?
  16. 16.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
  17. 17.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  18. 18.❌ Tara’s bird-song app was tested on 47 new bird songs and got 44 right. How many did it get wrong?
  19. 19.📋 Planning an AI project: which comes first — label each example or calculate percent right? (a) label each example (b) calculate percent right
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  21. 21.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  22. 22.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  23. 23.🎯 Rohan’s bird-song app is 60% accurate. If it is tested on 60 new bird songs, how many should it get right?
  24. 24.❌ Tara’s spam spotter was tested on 16 new messages and got 14 right. How many did it get wrong?
  25. 25.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — let it learn patterns or pick a question to solve? (a) let it learn patterns (b) pick a question to solve
  27. 27.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  28. 28.📦 Tara collected 130 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — correct bad labels or set aside test photos? (a) correct bad labels (b) set aside test photos
  30. 30.📋 Planning an AI project: which comes first — collect fruit photos or tag each photo by type? (a) collect fruit photos (b) tag each photo by type
  31. 31.❌ Arjun’s handwriting reader was tested on 31 new handwritten letters and got 25 right. How many did it get wrong?
  32. 32.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  33. 33.❌ Kabir’s spam spotter was tested on 23 new messages and got 19 right. How many did it get wrong?
  34. 34.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Rohan’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  36. 36.❌ Ishaan’s bird-song app was tested on 25 new bird songs and got 16 right. How many did it get wrong?
  37. 37.❌ Nisha’s handwriting reader was tested on 16 new handwritten letters and got 12 right. How many did it get wrong?
  38. 38.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  40. 40.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos

Answer key

  1. correct bad labels
  2. split train and test
  3. let it learn patterns
  4. to see if it learned
  5. more labelled examples
  6. 2
  7. 9
  8. correct ÷ total × 100
  9. 27
  10. 32
  11. paper and examples
  12. 92
  13. 128
  14. 88
  15. 2
  16. collect fruit photos
  17. let it learn patterns
  18. 3
  19. label each example
  20. train the model
  21. try unseen examples
  22. 81
  23. 36
  24. 2
  25. 81
  26. pick a question to solve
  27. let it learn patterns
  28. 104
  29. correct bad labels
  30. collect fruit photos
  31. 6
  32. 10
  33. 4
  34. 15
  35. 60
  36. 9
  37. 4
  38. 12
  39. work out the accuracy
  40. set aside test photos

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