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AI for students lesson 23: Design a tiny AI project · Set 324 · 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.🎯 Tara’s bird-song app was tested on 20 new bird songs and got 12 right. What is its accuracy in percent?
  2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
  3. 3.📦 Arjun collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  4. 4.📋 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
  5. 5.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
  6. 6.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  7. 7.❌ Meera’s spam spotter was tested on 24 new messages and got 23 right. How many did it get wrong?
  8. 8.🧪 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
  9. 9.❌ Vihaan’s leaf identifier was tested on 22 new leaf photos and got 14 right. How many did it get wrong?
  10. 10.🎯 Vihaan’s bird-song app was tested on 25 new bird songs and got 19 right. What is its accuracy in percent?
  11. 11.📋 Planning an AI project: which comes first — work out the accuracy or recheck every label? (a) work out the accuracy (b) recheck every label
  12. 12.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  13. 13.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
  14. 14.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
  15. 15.❌ Arjun’s fruit sorter was tested on 50 new fruit photos and got 48 right. How many did it get wrong?
  16. 16.📦 Saanvi collected 190 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  17. 17.📦 Kabir collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.❌ Ananya’s fruit sorter was tested on 42 new fruit photos and got 41 right. How many did it get wrong?
  19. 19.📦 Meera collected 60 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  20. 20.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 19 right and Model B got 15 right. How many percentage points more accurate is Model A?
  21. 21.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
  22. 22.🎯 Nisha’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  23. 23.📋 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
  24. 24.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  25. 25.🎯 Vihaan’s bird-song app was tested on 4 new bird songs and got 2 right. What is its accuracy in percent?
  26. 26.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 40 new bird songs, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  28. 28.❌ Tara’s leaf identifier was tested on 38 new leaf photos and got 37 right. How many did it get wrong?
  29. 29.📦 Diya collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
  31. 31.📦 Ishaan collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  32. 32.❌ Kabir’s handwriting reader was tested on 20 new handwritten letters and got 17 right. How many did it get wrong?
  33. 33.❌ Ishaan’s leaf identifier was tested on 42 new leaf photos and got 40 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  35. 35.❌ Nisha’s recycling sorter was tested on 37 new waste photos and got 35 right. How many did it get wrong?
  36. 36.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
  37. 37.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
  38. 38.📋 Planning an AI project: which comes first — split train and test or gather many examples? (a) split train and test (b) gather many examples
  39. 39.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  40. 40.📦 Kabir collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 60
  2. to see if it learned
  3. 128
  4. work out the accuracy
  5. let it learn patterns
  6. work out the accuracy
  7. 1
  8. paper and examples
  9. 8
  10. 76
  11. recheck every label
  12. train the model
  13. correct ÷ total × 100
  14. label each example
  15. 2
  16. 152
  17. 136
  18. 1
  19. 48
  20. 16
  21. 8
  22. 75
  23. work out the accuracy
  24. calculate percent right
  25. 50
  26. 28
  27. split train and test
  28. 1
  29. 144
  30. gather many examples
  31. 48
  32. 3
  33. 2
  34. label each example
  35. 2
  36. correct bad labels
  37. collect fruit photos
  38. gather many examples
  39. try unseen examples
  40. 56

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