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AI for students lesson 23: Design a tiny AI project · Set 440 · 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.❌ Rohan’s spam spotter was tested on 50 new messages and got 41 right. How many did it get wrong?
  2. 2.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) nothing at all (d) paper and examples
  3. 3.🧪 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
  4. 4.❌ Aarav’s bird-song app was tested on 46 new bird songs and got 41 right. How many did it get wrong?
  5. 5.🎯 Nisha’s recycling sorter was tested on 20 new waste photos and got 12 right. What is its accuracy in percent?
  6. 6.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  7. 7.🧪 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
  8. 8.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  9. 9.❌ Saanvi’s fruit sorter was tested on 28 new fruit photos and got 24 right. How many did it get wrong?
  10. 10.❌ Vihaan’s recycling sorter was tested on 36 new waste photos and got 34 right. How many did it get wrong?
  11. 11.📋 Planning an AI project: which comes first — choose what to sort or work out the accuracy? (a) choose what to sort (b) work out the accuracy
  12. 12.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  13. 13.📋 Planning an AI project: which comes first — calculate percent right or tag each photo by type? (a) calculate percent right (b) tag each photo by type
  14. 14.❌ Diya’s handwriting reader was tested on 32 new handwritten letters and got 25 right. How many did it get wrong?
  15. 15.🎯 Vihaan’s fruit sorter was tested on 20 new fruit photos and got 11 right. What is its accuracy in percent?
  16. 16.📋 Planning an AI project: which comes first — improve data, retest or try unseen examples? (a) improve data, retest (b) try unseen examples
  17. 17.📦 Diya collected 50 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Kabir’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  19. 19.📦 Arjun collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  20. 20.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  21. 21.❌ Tara’s leaf identifier was tested on 27 new leaf photos and got 25 right. How many did it get wrong?
  22. 22.🎯 Diya’s handwriting reader was tested on 10 new handwritten letters and got 9 right. What is its accuracy in percent?
  23. 23.📦 Meera collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  24. 24.🎯 Ishaan’s spam spotter was tested on 25 new messages and got 16 right. What is its accuracy in percent?
  25. 25.🎯 Ananya’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
  26. 26.📋 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
  27. 27.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
  28. 28.🎯 Rohan’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  29. 29.📦 Meera collected 130 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📦 Tara collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  31. 31.❌ Kabir’s recycling sorter was tested on 20 new waste photos and got 15 right. How many did it get wrong?
  32. 32.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  33. 33.📦 Aarav collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
  35. 35.❌ Vihaan’s bird-song app was tested on 48 new bird songs and got 46 right. How many did it get wrong?
  36. 36.🎯 Kabir’s bird-song app is 80% accurate. If it is tested on 70 new bird songs, how many should it get right?
  37. 37.📦 Ishaan collected 130 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 handwriting reader models were tested on the same 50 handwritten letters. Model A got 37 right and Model B got 34 right. How many percentage points more accurate is Model A?
  39. 39.📋 Planning an AI project: which comes first — set aside test photos or fix it and test again? (a) set aside test photos (b) fix it and test again
  40. 40.❌ Saanvi’s fruit sorter was tested on 33 new fruit photos and got 24 right. How many did it get wrong?

Answer key

  1. 9
  2. paper and examples
  3. to see if it learned
  4. 5
  5. 60
  6. work out the accuracy
  7. more labelled examples
  8. correct ÷ total × 100
  9. 4
  10. 2
  11. choose what to sort
  12. calculate percent right
  13. tag each photo by type
  14. 7
  15. 55
  16. try unseen examples
  17. 40
  18. 27
  19. 40
  20. 5
  21. 2
  22. 90
  23. 40
  24. 64
  25. 80
  26. work out the accuracy
  27. tag each photo by type
  28. 75
  29. 104
  30. 160
  31. 5
  32. test on new photos
  33. 144
  34. 65
  35. 2
  36. 56
  37. 104
  38. 6
  39. set aside test photos
  40. 9

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