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AI for students lesson 23: Design a tiny AI project · Set 253 · 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 — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve
  2. 2.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  3. 3.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  4. 4.🎯 Nisha’s fruit sorter was tested on 25 new fruit photos and got 19 right. What is its accuracy in percent?
  5. 5.❌ Vihaan’s spam spotter was tested on 16 new messages and got 12 right. How many did it get wrong?
  6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  7. 7.📦 Arjun collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  8. 8.🎯 Rohan’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
  9. 9.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 5 right. What is its accuracy in percent?
  10. 10.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 37 right and Model B got 29 right. How many percentage points more accurate is Model A?
  11. 11.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
  12. 12.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
  13. 13.🧪 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
  14. 14.🎯 Saanvi’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
  15. 15.🎯 Nisha’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
  16. 16.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
  17. 17.🎯 Nisha’s bird-song app was tested on 25 new bird songs and got 23 right. What is its accuracy in percent?
  18. 18.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  19. 19.🎯 Nisha’s leaf identifier is 80% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  20. 20.📋 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
  21. 21.🎯 Ananya’s handwriting reader was tested on 10 new handwritten letters and got 8 right. What is its accuracy in percent?
  22. 22.❌ Saanvi’s recycling sorter was tested on 50 new waste photos and got 45 right. How many did it get wrong?
  23. 23.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 90 new bird songs, how many should it get right?
  24. 24.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to see if it learned (d) to save paper
  26. 26.📋 Planning an AI project: which comes first — gather many examples or label each example? (a) gather many examples (b) label each example
  27. 27.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
  28. 28.📦 Tara collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  30. 30.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
  31. 31.❌ Aarav’s leaf identifier was tested on 20 new leaf photos and got 19 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
  33. 33.📋 Planning an AI project: which comes first — collect fruit photos or test on new photos? (a) collect fruit photos (b) test on new photos
  34. 34.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Nisha’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  36. 36.⚖️ 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?
  37. 37.🎯 Ishaan’s spam spotter was tested on 4 new messages and got 3 right. What is its accuracy in percent?
  38. 38.❌ Kabir’s handwriting reader was tested on 12 new handwritten letters and got 11 right. How many did it get wrong?
  39. 39.📋 Planning an AI project: which comes first — pick a question to solve or split train and test? (a) pick a question to solve (b) split train and test
  40. 40.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 7 right. What is its accuracy in percent?

Answer key

  1. pick a question to solve
  2. correct ÷ total × 100
  3. 6
  4. 76
  5. 4
  6. more labelled examples
  7. 128
  8. 75
  9. 100
  10. 16
  11. set aside test photos
  12. label each example
  13. paper and examples
  14. 35
  15. 100
  16. 100
  17. 92
  18. calculate percent right
  19. 80
  20. work out the accuracy
  21. 80
  22. 5
  23. 72
  24. 10
  25. to see if it learned
  26. gather many examples
  27. 16
  28. 72
  29. work out the accuracy
  30. pick a question to solve
  31. 1
  32. gather many examples
  33. collect fruit photos
  34. 5
  35. 21
  36. 22
  37. 75
  38. 1
  39. pick a question to solve
  40. 70

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