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AI for students lesson 23: Design a tiny AI project · Set 529 · 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 — pick a question to solve or gather many examples? (a) pick a question to solve (b) gather many examples
  2. 2.❌ Nisha’s recycling sorter was tested on 40 new waste photos and got 37 right. How many did it get wrong?
  3. 3.🎯 Ishaan’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
  4. 4.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) correct + total (d) total − correct
  5. 5.📦 Tara collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  6. 6.🎯 Meera’s leaf identifier is 70% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  7. 7.🎯 Tara’s leaf identifier is 90% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  8. 8.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
  9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  10. 10.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  11. 11.🎯 Nisha’s spam spotter is 60% accurate. If it is tested on 20 new messages, how many should it get right?
  12. 12.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  13. 13.📦 Tara collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  14. 14.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
  15. 15.🎯 Diya’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
  16. 16.🎯 Kabir’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  18. 18.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
  19. 19.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  20. 20.🎯 Ishaan’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
  21. 21.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
  22. 22.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  23. 23.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  24. 24.📋 Planning an AI project: which comes first — set aside test photos or try unseen examples? (a) set aside test photos (b) try unseen examples
  25. 25.🎯 Arjun’s handwriting reader is 70% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — fix it and test again or collect fruit photos? (a) fix it and test again (b) collect fruit photos
  27. 27.📋 Planning an AI project: which comes first — collect fruit photos or split train and test? (a) collect fruit photos (b) split train and test
  28. 28.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
  29. 29.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
  30. 30.🎯 Meera’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
  31. 31.❌ Diya’s fruit sorter was tested on 40 new fruit photos and got 32 right. How many did it get wrong?
  32. 32.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?
  33. 33.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  34. 34.📦 Diya collected 130 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  35. 35.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
  37. 37.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  39. 39.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos

Answer key

  1. pick a question to solve
  2. 3
  3. 42
  4. correct ÷ total × 100
  5. 48
  6. 28
  7. 81
  8. 12
  9. to see if it learned
  10. correct bad labels
  11. 12
  12. try unseen examples
  13. 96
  14. pick a question to solve
  15. 70
  16. 100
  17. work out the accuracy
  18. 70
  19. paper and examples
  20. 8
  21. more labelled examples
  22. split train and test
  23. collect fruit photos
  24. set aside test photos
  25. 49
  26. collect fruit photos
  27. collect fruit photos
  28. 10
  29. label each example
  30. 90
  31. 8
  32. 70
  33. calculate percent right
  34. 104
  35. 80
  36. gather many examples
  37. tag each photo by type
  38. work out the accuracy
  39. 54
  40. train the model

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