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AI for students lesson 23: Design a tiny AI project · Set 398 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  2. 2.🎯 Aarav’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  3. 3.🎯 Meera’s handwriting reader was tested on 25 new handwritten letters and got 17 right. What is its accuracy in percent?
  4. 4.📦 Saanvi collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  5. 5.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 23 right. How many percentage points more accurate is Model A?
  6. 6.📦 Rohan collected 170 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  7. 7.📦 Arjun collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  8. 8.📋 Planning an AI project: which comes first — fix it and test again or correct bad labels? (a) fix it and test again (b) correct bad labels
  9. 9.🎯 Tara’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  10. 10.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 11 right. How many percentage points more accurate is Model A?
  11. 11.📦 Diya collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  12. 12.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  13. 13.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
  14. 14.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to make it bigger (c) to save paper (d) to see if it learned
  15. 15.❌ Saanvi’s leaf identifier was tested on 46 new leaf photos and got 44 right. How many did it get wrong?
  16. 16.📦 Diya collected 150 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  17. 17.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 33 right. How many percentage points more accurate is Model A?
  18. 18.❌ Aarav’s handwriting reader was tested on 33 new handwritten letters and got 27 right. How many did it get wrong?
  19. 19.🎯 Vihaan’s bird-song app was tested on 10 new bird songs and got 10 right. What is its accuracy in percent?
  20. 20.📦 Aarav collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — set aside test photos or work out the accuracy? (a) set aside test photos (b) work out the accuracy
  22. 22.🎯 Ishaan’s leaf identifier is 70% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  23. 23.📋 Planning an AI project: which comes first — tag each photo by type or try unseen examples? (a) tag each photo by type (b) try unseen examples
  24. 24.📋 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
  25. 25.🧪 You can plan a simple AI project with… (a) paper and examples (b) a secret password (c) nothing at all (d) only a big robot
  26. 26.⚖️ 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?
  27. 27.🎯 Rohan’s bird-song app was tested on 50 new bird songs and got 36 right. What is its accuracy in percent?
  28. 28.📦 Kabir collected 190 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  29. 29.🎯 Ishaan’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
  30. 30.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
  31. 31.❌ Ananya’s bird-song app was tested on 30 new bird songs and got 24 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
  33. 33.❌ Tara’s fruit sorter was tested on 20 new fruit photos and got 17 right. How many did it get wrong?
  34. 34.🎯 Ishaan’s recycling sorter was tested on 10 new waste photos and got 8 right. What is its accuracy in percent?
  35. 35.📦 Aarav collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  36. 36.📋 Planning an AI project: which comes first — split train and test or label each example? (a) split train and test (b) label each example
  37. 37.🎯 Saanvi’s leaf identifier is 50% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  38. 38.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
  40. 40.🧪 What is accuracy? (a) total − correct (b) correct + total (c) correct ÷ total × 100 (d) total × 2

Answer key

  1. more labelled examples
  2. 100
  3. 68
  4. 32
  5. 4
  6. 136
  7. 104
  8. correct bad labels
  9. 50
  10. 45
  11. 152
  12. train the model
  13. pick a question to solve
  14. to see if it learned
  15. 2
  16. 120
  17. 34
  18. 6
  19. 100
  20. 64
  21. set aside test photos
  22. 56
  23. tag each photo by type
  24. pick a question to solve
  25. paper and examples
  26. 10
  27. 72
  28. 152
  29. 42
  30. 90
  31. 6
  32. collect fruit photos
  33. 3
  34. 80
  35. 32
  36. label each example
  37. 15
  38. 10
  39. recheck every label
  40. correct ÷ total × 100

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