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AI for students lesson 23: Design a tiny AI project · Set 78 · 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 — gather many examples or label each example? (a) gather many examples (b) label each example
  2. 2.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 20 new bird songs, how many should it get right?
  3. 3.📦 Nisha collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  4. 4.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
  5. 5.📋 Planning an AI project: which comes first — work out the accuracy or pick a question to solve? (a) work out the accuracy (b) pick a question to solve
  6. 6.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 5 right. How many percentage points more accurate is Model A?
  7. 7.❌ Saanvi’s spam spotter was tested on 33 new messages and got 31 right. How many did it get wrong?
  8. 8.📦 Vihaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  9. 9.🎯 Ishaan’s fruit sorter was tested on 50 new fruit photos and got 40 right. What is its accuracy in percent?
  10. 10.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 47 right and Model B got 44 right. How many percentage points more accurate is Model A?
  11. 11.🧪 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 save paper (d) to make it bigger
  12. 12.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
  13. 13.📦 Meera collected 100 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  14. 14.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 30 new bird songs, how many should it get right?
  15. 15.📋 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
  16. 16.📋 Planning an AI project: which comes first — gather many examples or split train and test? (a) gather many examples (b) split train and test
  17. 17.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
  18. 18.❌ Ishaan’s spam spotter was tested on 49 new messages and got 43 right. How many did it get wrong?
  19. 19.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
  20. 20.📋 Planning an AI project: which comes first — fix it and test again or pick a question to solve? (a) fix it and test again (b) pick a question to solve
  21. 21.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  22. 22.🎯 Kabir’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  23. 23.❌ Kabir’s fruit sorter was tested on 29 new fruit photos and got 25 right. How many did it get wrong?
  24. 24.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
  25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) fewer examples (d) a louder speaker
  26. 26.🎯 Ananya’s leaf identifier was tested on 50 new leaf photos and got 30 right. What is its accuracy in percent?
  27. 27.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
  28. 28.📦 Meera collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  29. 29.🎯 Saanvi’s leaf identifier is 80% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  31. 31.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example
  32. 32.❌ Tara’s leaf identifier was tested on 35 new leaf photos and got 34 right. How many did it get wrong?
  33. 33.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 13 right. How many percentage points more accurate is Model A?
  34. 34.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 20 new bird songs, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
  36. 36.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  37. 37.📦 Ananya collected 130 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  38. 38.📦 Ananya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.🎯 Saanvi’s spam spotter is 60% accurate. If it is tested on 100 new messages, how many should it get right?
  40. 40.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve

Answer key

  1. gather many examples
  2. 10
  3. 80
  4. paper and examples
  5. pick a question to solve
  6. 40
  7. 2
  8. 128
  9. 80
  10. 6
  11. to see if it learned
  12. calculate percent right
  13. 80
  14. 27
  15. pick a question to solve
  16. gather many examples
  17. 4
  18. 6
  19. tag each photo by type
  20. pick a question to solve
  21. 50
  22. 50
  23. 4
  24. label each example
  25. more labelled examples
  26. 60
  27. recheck every label
  28. 120
  29. 64
  30. try unseen examples
  31. label each example
  32. 1
  33. 16
  34. 16
  35. try unseen examples
  36. label each example
  37. 104
  38. 32
  39. 60
  40. pick a question to solve

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