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AI for students lesson 23: Design a tiny AI project · Set 714 · 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 — train the model or fix it and test again? (a) train the model (b) fix it and test again
  2. 2.❌ Vihaan’s fruit sorter was tested on 47 new fruit photos and got 43 right. How many did it get wrong?
  3. 3.🎯 Vihaan’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  4. 4.📋 Planning an AI project: which comes first — collect fruit photos or calculate percent right? (a) collect fruit photos (b) calculate percent right
  5. 5.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
  6. 6.📋 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
  7. 7.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  8. 8.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
  9. 9.🧪 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
  10. 10.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  11. 11.❌ Kabir’s leaf identifier was tested on 48 new leaf photos and got 42 right. How many did it get wrong?
  12. 12.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
  13. 13.📋 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
  14. 14.❌ Arjun’s spam spotter was tested on 30 new messages and got 23 right. How many did it get wrong?
  15. 15.📦 Nisha collected 180 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Nisha’s handwriting reader is 80% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  17. 17.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  18. 18.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  19. 19.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  20. 20.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  21. 21.🎯 Rohan’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  22. 22.📋 Planning an AI project: which comes first — label each example or try unseen examples? (a) label each example (b) try unseen examples
  23. 23.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  24. 24.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  25. 25.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  26. 26.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  27. 27.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
  28. 28.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  29. 29.❌ Tara’s bird-song app was tested on 35 new bird songs and got 31 right. How many did it get wrong?
  30. 30.🎯 Meera’s handwriting reader is 50% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  31. 31.❌ Meera’s leaf identifier was tested on 21 new leaf photos and got 15 right. How many did it get wrong?
  32. 32.📦 Ishaan collected 130 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
  34. 34.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
  35. 35.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  36. 36.❌ Arjun’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
  37. 37.❌ Tara’s bird-song app was tested on 24 new bird songs and got 18 right. How many did it get wrong?
  38. 38.⚖️ Two bird-song app models were tested on the same 25 bird songs. Model A got 24 right and Model B got 22 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  40. 40.📋 Planning an AI project: which comes first — set aside test photos or test on new photos? (a) set aside test photos (b) test on new photos

Answer key

  1. train the model
  2. 4
  3. 16
  4. collect fruit photos
  5. correct ÷ total × 100
  6. split train and test
  7. paper and examples
  8. recheck every label
  9. to see if it learned
  10. pick a question to solve
  11. 6
  12. 8
  13. work out the accuracy
  14. 7
  15. 144
  16. 16
  17. test on new photos
  18. 152
  19. correct bad labels
  20. correct bad labels
  21. 80
  22. label each example
  23. 36
  24. 128
  25. 10
  26. more labelled examples
  27. choose what to sort
  28. 20
  29. 4
  30. 5
  31. 6
  32. 104
  33. pick a question to solve
  34. 5
  35. 36
  36. 2
  37. 6
  38. 8
  39. train the model
  40. set aside test photos

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