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AI for students lesson 23: Design a tiny AI project · Set 286 · 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.📦 Ishaan collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  2. 2.📦 Meera collected 90 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  3. 3.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 13 right. How many percentage points more accurate is Model A?
  4. 4.❌ Rohan’s recycling sorter was tested on 43 new waste photos and got 38 right. How many did it get wrong?
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
  6. 6.🧪 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 save paper (d) to make it bigger
  7. 7.❌ Aarav’s handwriting reader was tested on 42 new handwritten letters and got 34 right. How many did it get wrong?
  8. 8.🎯 Tara’s handwriting reader is 50% accurate. If it is tested on 50 new handwritten letters, how many should it get right?
  9. 9.🎯 Arjun’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
  10. 10.🎯 Aarav’s fruit sorter was tested on 20 new fruit photos and got 19 right. What is its accuracy in percent?
  11. 11.📋 Planning an AI project: which comes first — tag each photo by type or recheck every label? (a) tag each photo by type (b) recheck every label
  12. 12.🎯 Meera’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
  13. 13.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  14. 14.📋 Planning an AI project: which comes first — pick a question to solve or calculate percent right? (a) pick a question to solve (b) calculate percent right
  15. 15.🎯 Rohan’s recycling sorter is 70% accurate. If it is tested on 10 new waste photos, how many should it get right?
  16. 16.❌ Ananya’s spam spotter was tested on 43 new messages and got 34 right. How many did it get wrong?
  17. 17.📋 Planning an AI project: which comes first — label each example or let it learn patterns? (a) label each example (b) let it learn patterns
  18. 18.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
  19. 19.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
  20. 20.🎯 Rohan’s spam spotter is 50% accurate. If it is tested on 90 new messages, how many should it get right?
  21. 21.📦 Nisha collected 120 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  22. 22.❌ Nisha’s bird-song app was tested on 40 new bird songs and got 37 right. How many did it get wrong?
  23. 23.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  25. 25.❌ Saanvi’s handwriting reader was tested on 25 new handwritten letters and got 21 right. How many did it get wrong?
  26. 26.🎯 Diya’s handwriting reader is 50% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  27. 27.🎯 Meera’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
  28. 28.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) only a big robot (d) a secret password
  29. 29.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 5 right. What is its accuracy in percent?
  30. 30.🎯 Meera’s recycling sorter is 70% accurate. If it is tested on 50 new waste photos, how many should it get right?
  31. 31.🎯 Aarav’s bird-song app is 60% accurate. If it is tested on 40 new bird songs, how many should it get right?
  32. 32.🎯 Nisha’s leaf identifier is 60% accurate. If it is tested on 70 new leaf photos, how many should it get right?
  33. 33.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
  35. 35.🎯 Kabir’s bird-song app is 60% accurate. If it is tested on 20 new bird songs, how many should it get right?
  36. 36.🎯 Tara’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  37. 37.📋 Planning an AI project: which comes first — test on new photos or train the model? (a) test on new photos (b) train the model
  38. 38.🎯 Saanvi’s spam spotter is 70% accurate. If it is tested on 70 new messages, how many should it get right?
  39. 39.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 3 right. What is its accuracy in percent?
  40. 40.📦 Rohan collected 90 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 72
  2. 72
  3. 35
  4. 5
  5. more labelled examples
  6. to see if it learned
  7. 8
  8. 25
  9. 49
  10. 95
  11. tag each photo by type
  12. 56
  13. test on new photos
  14. pick a question to solve
  15. 7
  16. 9
  17. label each example
  18. split train and test
  19. let it learn patterns
  20. 45
  21. 96
  22. 3
  23. calculate percent right
  24. split train and test
  25. 4
  26. 45
  27. 60
  28. paper and examples
  29. 100
  30. 35
  31. 24
  32. 42
  33. 50
  34. label each example
  35. 12
  36. 50
  37. train the model
  38. 49
  39. 75
  40. 72

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