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AI for students lesson 23: Design a tiny AI project · Set 988 · 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.🎯 Kabir’s fruit sorter was tested on 20 new fruit photos and got 14 right. What is its accuracy in percent?
  2. 2.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 25 right. What is its accuracy in percent?
  3. 3.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 5 right. What is its accuracy in percent?
  4. 4.🎯 Ishaan’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  5. 5.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
  6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
  7. 7.🎯 Meera’s handwriting reader is 90% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
  8. 8.❌ Aarav’s spam spotter was tested on 41 new messages and got 33 right. How many did it get wrong?
  9. 9.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
  10. 10.🎯 Vihaan’s bird-song app was tested on 5 new bird songs and got 3 right. What is its accuracy in percent?
  11. 11.🎯 Ananya’s handwriting reader is 60% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  12. 12.❌ Vihaan’s bird-song app was tested on 31 new bird songs and got 24 right. How many did it get wrong?
  13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
  14. 14.🎯 Saanvi’s recycling sorter was tested on 10 new waste photos and got 7 right. What is its accuracy in percent?
  15. 15.📦 Meera collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  16. 16.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
  17. 17.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 40 right and Model B got 25 right. How many percentage points more accurate is Model A?
  18. 18.📦 Tara collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  19. 19.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  20. 20.🎯 Tara’s recycling sorter was tested on 50 new waste photos and got 38 right. What is its accuracy in percent?
  21. 21.🎯 Meera’s leaf identifier was tested on 50 new leaf photos and got 26 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
  23. 23.❌ Vihaan’s handwriting reader was tested on 34 new handwritten letters and got 30 right. How many did it get wrong?
  24. 24.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
  25. 25.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 50 new bird songs, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  27. 27.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 19 right. How many percentage points more accurate is Model A?
  28. 28.🧪 You can plan a simple AI project with… (a) only a big robot (b) paper and examples (c) a secret password (d) nothing at all
  29. 29.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
  30. 30.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
  31. 31.❌ Meera’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — collect fruit photos or recheck every label? (a) collect fruit photos (b) recheck every label
  33. 33.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 30 new bird songs, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — gather many examples or try unseen examples? (a) gather many examples (b) try unseen examples
  35. 35.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
  36. 36.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
  37. 37.❌ Meera’s leaf identifier was tested on 21 new leaf photos and got 15 right. How many did it get wrong?
  38. 38.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  39. 39.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  40. 40.🎯 Diya’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?

Answer key

  1. 70
  2. 100
  3. 100
  4. 36
  5. pick a question to solve
  6. more labelled examples
  7. 72
  8. 8
  9. 8
  10. 60
  11. 60
  12. 7
  13. to see if it learned
  14. 70
  15. 128
  16. 5
  17. 30
  18. 136
  19. 54
  20. 76
  21. 52
  22. test on new photos
  23. 4
  24. pick a question to solve
  25. 40
  26. train the model
  27. 16
  28. paper and examples
  29. train the model
  30. split train and test
  31. 9
  32. collect fruit photos
  33. 24
  34. gather many examples
  35. label each example
  36. gather many examples
  37. 6
  38. work out the accuracy
  39. 50
  40. 100

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