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AI for students lesson 23: Design a tiny AI project · Set 686 · 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 — fix it and test again or train the model? (a) fix it and test again (b) train the model
  2. 2.❌ Arjun’s fruit sorter was tested on 25 new fruit photos and got 19 right. How many did it get wrong?
  3. 3.🎯 Diya’s handwriting reader is 60% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  4. 4.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 30 new waste photos, how many should it get right?
  5. 5.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
  6. 6.🎯 Nisha’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  7. 7.🎯 Aarav’s recycling sorter is 90% accurate. If it is tested on 100 new waste photos, how many should it get right?
  8. 8.🧪 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
  9. 9.📋 Planning an AI project: which comes first — work out the accuracy or split train and test? (a) work out the accuracy (b) split train and test
  10. 10.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  11. 11.📦 Vihaan collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  12. 12.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 20 new waste photos, how many should it get right?
  13. 13.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
  14. 14.📋 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
  15. 15.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
  16. 16.📋 Planning an AI project: which comes first — let it learn patterns or split train and test? (a) let it learn patterns (b) split train and test
  17. 17.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
  18. 18.🎯 Tara’s leaf identifier was tested on 20 new leaf photos and got 19 right. What is its accuracy in percent?
  19. 19.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 7 right. How many percentage points more accurate is Model A?
  20. 20.🧪 What is accuracy? (a) correct + total (b) correct ÷ total × 100 (c) total × 2 (d) total − correct
  21. 21.❌ Ishaan’s spam spotter was tested on 21 new messages and got 14 right. How many did it get wrong?
  22. 22.📋 Planning an AI project: which comes first — recheck every label or split train and test? (a) recheck every label (b) split train and test
  23. 23.🧪 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
  24. 24.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  25. 25.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  26. 26.🎯 Diya’s leaf identifier is 90% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  27. 27.🎯 Tara’s bird-song app was tested on 50 new bird songs and got 46 right. What is its accuracy in percent?
  28. 28.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type
  29. 29.🎯 Meera’s recycling sorter was tested on 50 new waste photos and got 28 right. What is its accuracy in percent?
  30. 30.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) a new colour screen (d) fewer examples
  31. 31.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
  32. 32.❌ Kabir’s spam spotter was tested on 46 new messages and got 38 right. How many did it get wrong?
  33. 33.❌ Aarav’s fruit sorter was tested on 24 new fruit photos and got 16 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  35. 35.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  36. 36.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
  37. 37.📦 Nisha collected 100 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  38. 38.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 14 right. How many percentage points more accurate is Model A?
  39. 39.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 47 right and Model B got 42 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model

Answer key

  1. train the model
  2. 6
  3. 12
  4. 15
  5. label each example
  6. 9
  7. 90
  8. paper and examples
  9. split train and test
  10. 10
  11. 72
  12. 10
  13. 12
  14. calculate percent right
  15. label each example
  16. split train and test
  17. collect fruit photos
  18. 95
  19. 30
  20. correct ÷ total × 100
  21. 7
  22. recheck every label
  23. to see if it learned
  24. recheck every label
  25. try unseen examples
  26. 45
  27. 92
  28. tag each photo by type
  29. 56
  30. more labelled examples
  31. 2
  32. 8
  33. 8
  34. let it learn patterns
  35. 50
  36. 4
  37. 80
  38. 32
  39. 10
  40. split train and test

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