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AI for students lesson 23: Design a tiny AI project · Set 70 · 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 — fix it and test again or split train and test? (a) fix it and test again (b) split train and test
  2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
  3. 3.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 40 right and Model B got 29 right. How many percentage points more accurate is Model A?
  4. 4.📋 Planning an AI project: which comes first — improve data, retest or collect fruit photos? (a) improve data, retest (b) collect fruit photos
  5. 5.❌ Meera’s leaf identifier was tested on 41 new leaf photos and got 38 right. How many did it get wrong?
  6. 6.📋 Planning an AI project: which comes first — train the model or collect fruit photos? (a) train the model (b) collect fruit photos
  7. 7.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 32 right and Model B got 31 right. How many percentage points more accurate is Model A?
  8. 8.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a louder speaker (d) a new colour screen
  9. 9.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
  10. 10.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  11. 11.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
  12. 12.📋 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
  13. 13.📋 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
  14. 14.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 42 right and Model B got 39 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Vihaan’s handwriting reader was tested on 10 new handwritten letters and got 5 right. What is its accuracy in percent?
  16. 16.❌ Ananya’s leaf identifier was tested on 19 new leaf photos and got 15 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
  18. 18.❌ Vihaan’s bird-song app was tested on 49 new bird songs and got 48 right. How many did it get wrong?
  19. 19.🎯 Arjun’s leaf identifier was tested on 25 new leaf photos and got 21 right. What is its accuracy in percent?
  20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 19 right and Model B got 10 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — test on new photos or split train and test? (a) test on new photos (b) split train and test
  22. 22.🧪 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
  23. 23.📋 Planning an AI project: which comes first — collect fruit photos or improve data, retest? (a) collect fruit photos (b) improve data, retest
  24. 24.📋 Planning an AI project: which comes first — collect fruit photos or train the model? (a) collect fruit photos (b) train the model
  25. 25.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  26. 26.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
  27. 27.❌ Ananya’s recycling sorter was tested on 32 new waste photos and got 27 right. How many did it get wrong?
  28. 28.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 8 right and Model B got 7 right. How many percentage points more accurate is Model A?
  29. 29.🎯 Rohan’s spam spotter is 60% accurate. If it is tested on 30 new messages, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  31. 31.📋 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
  32. 32.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  33. 33.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  35. 35.🎯 Tara’s fruit sorter is 90% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  36. 36.📦 Meera collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  37. 37.🎯 Vihaan’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
  38. 38.📋 Planning an AI project: which comes first — work out the accuracy or correct bad labels? (a) work out the accuracy (b) correct bad labels
  39. 39.📦 Diya collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  40. 40.❌ Nisha’s leaf identifier was tested on 22 new leaf photos and got 18 right. How many did it get wrong?

Answer key

  1. split train and test
  2. to see if it learned
  3. 22
  4. collect fruit photos
  5. 3
  6. collect fruit photos
  7. 2
  8. more labelled examples
  9. tag each photo by type
  10. work out the accuracy
  11. correct ÷ total × 100
  12. tag each photo by type
  13. work out the accuracy
  14. 6
  15. 50
  16. 4
  17. choose what to sort
  18. 1
  19. 84
  20. 45
  21. split train and test
  22. paper and examples
  23. collect fruit photos
  24. collect fruit photos
  25. train the model
  26. choose what to sort
  27. 5
  28. 10
  29. 18
  30. split train and test
  31. pick a question to solve
  32. 20
  33. 12
  34. train the model
  35. 54
  36. 112
  37. 18
  38. correct bad labels
  39. 160
  40. 4

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