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AI for students lesson 23: Design a tiny AI project · Set 293 · 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.❌ Arjun’s leaf identifier was tested on 20 new leaf photos and got 11 right. How many did it get wrong?
  2. 2.❌ Meera’s bird-song app was tested on 26 new bird songs and got 20 right. How many did it get wrong?
  3. 3.🎯 Aarav’s fruit sorter is 70% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  4. 4.🎯 Ishaan’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  6. 6.🎯 Diya’s spam spotter was tested on 50 new messages and got 48 right. What is its accuracy in percent?
  7. 7.❌ Diya’s fruit sorter was tested on 22 new fruit photos and got 18 right. How many did it get wrong?
  8. 8.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
  9. 9.🎯 Ishaan’s recycling sorter was tested on 4 new waste photos and got 4 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  11. 11.🎯 Ananya’s bird-song app is 90% accurate. If it is tested on 90 new bird songs, how many should it get right?
  12. 12.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  13. 13.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 14 right and Model B got 12 right. How many percentage points more accurate is Model A?
  14. 14.📦 Nisha collected 170 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  15. 15.❌ Kabir’s fruit sorter was tested on 26 new fruit photos and got 24 right. How many did it get wrong?
  16. 16.🎯 Rohan’s recycling sorter is 90% accurate. If it is tested on 20 new waste photos, how many should it get right?
  17. 17.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it faster (c) to see if it learned (d) to make it bigger
  18. 18.🎯 Aarav’s spam spotter was tested on 25 new messages and got 13 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — tag each photo by type or correct bad labels? (a) tag each photo by type (b) correct bad labels
  20. 20.🎯 Kabir’s fruit sorter was tested on 50 new fruit photos and got 35 right. What is its accuracy in percent?
  21. 21.❌ Diya’s recycling sorter was tested on 29 new waste photos and got 25 right. How many did it get wrong?
  22. 22.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 20 right and Model B got 15 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Tara’s handwriting reader is 80% accurate. If it is tested on 70 new handwritten letters, how many should it get right?
  24. 24.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  25. 25.🎯 Ananya’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
  26. 26.❌ Kabir’s spam spotter was tested on 25 new messages and got 23 right. How many did it get wrong?
  27. 27.📋 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
  28. 28.📋 Planning an AI project: which comes first — split train and test or calculate percent right? (a) split train and test (b) calculate percent right
  29. 29.⚖️ Two bird-song app models were tested on the same 20 bird songs. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  30. 30.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 23 right and Model B got 18 right. How many percentage points more accurate is Model A?
  31. 31.❌ Vihaan’s bird-song app was tested on 31 new bird songs and got 22 right. How many did it get wrong?
  32. 32.🎯 Meera’s fruit sorter is 60% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  33. 33.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 80 new bird songs, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
  36. 36.📋 Planning an AI project: which comes first — correct bad labels or gather many examples? (a) correct bad labels (b) gather many examples
  37. 37.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) paper and examples (d) only a big robot
  38. 38.📦 Ishaan collected 100 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.❌ Diya’s fruit sorter was tested on 19 new fruit photos and got 18 right. How many did it get wrong?
  40. 40.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest

Answer key

  1. 9
  2. 6
  3. 14
  4. 60
  5. more labelled examples
  6. 96
  7. 4
  8. correct ÷ total × 100
  9. 100
  10. calculate percent right
  11. 81
  12. 5
  13. 10
  14. 136
  15. 2
  16. 18
  17. to see if it learned
  18. 52
  19. tag each photo by type
  20. 70
  21. 4
  22. 20
  23. 56
  24. try unseen examples
  25. 50
  26. 2
  27. set aside test photos
  28. split train and test
  29. 5
  30. 20
  31. 9
  32. 30
  33. 56
  34. split train and test
  35. gather many examples
  36. gather many examples
  37. paper and examples
  38. 80
  39. 1
  40. correct bad labels

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