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AI for students lesson 23: Design a tiny AI project · Set 47 · 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 — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  2. 2.❌ Tara’s recycling sorter was tested on 37 new waste photos and got 35 right. How many did it get wrong?
  3. 3.❌ Kabir’s spam spotter was tested on 43 new messages and got 40 right. How many did it get wrong?
  4. 4.🎯 Saanvi’s leaf identifier was tested on 25 new leaf photos and got 23 right. What is its accuracy in percent?
  5. 5.📦 Saanvi collected 120 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  6. 6.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to save paper (d) to make it faster
  7. 7.❌ Nisha’s recycling sorter was tested on 33 new waste photos and got 26 right. How many did it get wrong?
  8. 8.📋 Planning an AI project: which comes first — fix it and test again or set aside test photos? (a) fix it and test again (b) set aside test photos
  9. 9.🎯 Diya’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  10. 10.📋 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
  11. 11.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  12. 12.📋 Planning an AI project: which comes first — recheck every label or calculate percent right? (a) recheck every label (b) calculate percent right
  13. 13.📋 Planning an AI project: which comes first — gather many examples or calculate percent right? (a) gather many examples (b) calculate percent right
  14. 14.🎯 Diya’s spam spotter is 70% accurate. If it is tested on 60 new messages, how many should it get right?
  15. 15.📦 Kabir collected 140 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  16. 16.📦 Arjun collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  17. 17.❌ Nisha’s handwriting reader was tested on 34 new handwritten letters and got 32 right. How many did it get wrong?
  18. 18.🧪 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
  19. 19.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  20. 20.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest
  21. 21.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 30 new bird songs, how many should it get right?
  22. 22.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  23. 23.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  24. 24.🎯 Ananya’s fruit sorter was tested on 4 new fruit photos and got 4 right. What is its accuracy in percent?
  25. 25.📦 Ananya collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
  27. 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) a new colour screen (c) fewer examples (d) more labelled examples
  28. 28.📋 Planning an AI project: which comes first — label each example or recheck every label? (a) label each example (b) recheck every label
  29. 29.📦 Ishaan collected 70 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 20 right. How many percentage points more accurate is Model A?
  31. 31.📋 Planning an AI project: which comes first — let it learn patterns or label each example? (a) let it learn patterns (b) label each example
  32. 32.🎯 Vihaan’s recycling sorter is 60% accurate. If it is tested on 40 new waste photos, how many should it get right?
  33. 33.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 12 right. How many percentage points more accurate is Model A?
  34. 34.📦 Meera collected 140 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  35. 35.📋 Planning an AI project: which comes first — let it learn patterns or correct bad labels? (a) let it learn patterns (b) correct bad labels
  36. 36.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  37. 37.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  38. 38.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
  39. 39.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  40. 40.📋 Planning an AI project: which comes first — tag each photo by type or pick a question to solve? (a) tag each photo by type (b) pick a question to solve

Answer key

  1. correct bad labels
  2. 2
  3. 3
  4. 92
  5. 96
  6. to see if it learned
  7. 7
  8. set aside test photos
  9. 6
  10. split train and test
  11. let it learn patterns
  12. recheck every label
  13. gather many examples
  14. 42
  15. 112
  16. 160
  17. 2
  18. paper and examples
  19. try unseen examples
  20. recheck every label
  21. 18
  22. 10
  23. correct ÷ total × 100
  24. 100
  25. 152
  26. choose what to sort
  27. more labelled examples
  28. label each example
  29. 56
  30. 12
  31. label each example
  32. 24
  33. 40
  34. 112
  35. correct bad labels
  36. try unseen examples
  37. work out the accuracy
  38. label each example
  39. test on new photos
  40. pick a question to solve

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students