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AI for students lesson 23: Design a tiny AI project · Set 456 · 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.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 4 right. What is its accuracy in percent?
  2. 2.🎯 Arjun’s fruit sorter is 90% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  3. 3.🧪 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
  4. 4.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
  5. 5.📋 Planning an AI project: which comes first — tag each photo by type or calculate percent right? (a) tag each photo by type (b) calculate percent right
  6. 6.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 70 new waste photos, how many should it get right?
  7. 7.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 29 right. What is its accuracy in percent?
  8. 8.🎯 Aarav’s handwriting reader is 60% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  9. 9.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
  10. 10.❌ Ishaan’s fruit sorter was tested on 37 new fruit photos and got 34 right. How many did it get wrong?
  11. 11.📦 Ishaan collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  12. 12.❌ Rohan’s handwriting reader was tested on 24 new handwritten letters and got 17 right. How many did it get wrong?
  13. 13.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  14. 14.🎯 Nisha’s recycling sorter was tested on 25 new waste photos and got 13 right. What is its accuracy in percent?
  15. 15.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  16. 16.❌ Kabir’s fruit sorter was tested on 46 new fruit photos and got 39 right. How many did it get wrong?
  17. 17.📦 Kabir collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  18. 18.🎯 Vihaan’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
  19. 19.📦 Vihaan collected 200 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  20. 20.🎯 Ishaan’s spam spotter was tested on 50 new messages and got 25 right. What is its accuracy in percent?
  21. 21.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  22. 22.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
  23. 23.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
  24. 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 43 right. How many percentage points more accurate is Model A?
  25. 25.📋 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
  26. 26.📦 Aarav collected 140 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  27. 27.❌ Kabir’s spam spotter was tested on 13 new messages and got 12 right. How many did it get wrong?
  28. 28.📦 Aarav collected 160 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  29. 29.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
  30. 30.📋 Planning an AI project: which comes first — collect fruit photos or set aside test photos? (a) collect fruit photos (b) set aside test photos
  31. 31.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  32. 32.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  33. 33.📦 Saanvi collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  34. 34.📋 Planning an AI project: which comes first — split train and test or recheck every label? (a) split train and test (b) recheck every label
  35. 35.❌ Ishaan’s fruit sorter was tested on 14 new fruit photos and got 12 right. How many did it get wrong?
  36. 36.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
  37. 37.📦 Tara collected 40 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  38. 38.🎯 Arjun’s spam spotter is 80% accurate. If it is tested on 10 new messages, how many should it get right?
  39. 39.🧪 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
  40. 40.📦 Arjun collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 100
  2. 36
  3. more labelled examples
  4. 60
  5. tag each photo by type
  6. 35
  7. 58
  8. 24
  9. correct ÷ total × 100
  10. 3
  11. 56
  12. 7
  13. 10
  14. 52
  15. test on new photos
  16. 7
  17. 48
  18. 72
  19. 160
  20. 50
  21. train the model
  22. 5
  23. 50
  24. 14
  25. work out the accuracy
  26. 112
  27. 1
  28. 128
  29. to see if it learned
  30. collect fruit photos
  31. calculate percent right
  32. gather many examples
  33. 72
  34. recheck every label
  35. 2
  36. pick a question to solve
  37. 32
  38. 8
  39. paper and examples
  40. 64

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