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AI for students lesson 23: Design a tiny AI project · Set 942 · 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 spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  2. 2.⚖️ Two spam spotter models were tested on the same 20 messages. Model A got 16 right and Model B got 10 right. How many percentage points more accurate is Model A?
  3. 3.🎯 Kabir’s handwriting reader is 80% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  4. 4.🧪 You can plan a simple AI project with… (a) a secret password (b) nothing at all (c) only a big robot (d) paper and examples
  5. 5.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  6. 6.📋 Planning an AI project: which comes first — set aside test photos or let it learn patterns? (a) set aside test photos (b) let it learn patterns
  7. 7.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 22 right and Model B got 21 right. How many percentage points more accurate is Model A?
  8. 8.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
  9. 9.🎯 Ishaan’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  10. 10.🎯 Saanvi’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  11. 11.🎯 Vihaan’s handwriting reader is 90% accurate. If it is tested on 100 new handwritten letters, how many should it get right?
  12. 12.❌ Diya’s bird-song app was tested on 21 new bird songs and got 14 right. How many did it get wrong?
  13. 13.🎯 Kabir’s recycling sorter was tested on 50 new waste photos and got 26 right. What is its accuracy in percent?
  14. 14.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  15. 15.📦 Ananya 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.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 21 right and Model B got 14 right. How many percentage points more accurate is Model A?
  17. 17.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  18. 18.🎯 Arjun’s leaf identifier was tested on 20 new leaf photos and got 13 right. What is its accuracy in percent?
  19. 19.❌ Rohan’s fruit sorter was tested on 17 new fruit photos and got 11 right. How many did it get wrong?
  20. 20.🎯 Aarav’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
  21. 21.📋 Planning an AI project: which comes first — set aside test photos or pick a question to solve? (a) set aside test photos (b) pick a question to solve
  22. 22.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
  23. 23.📦 Ishaan collected 120 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  24. 24.🎯 Aarav’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to save paper (c) to make it faster (d) to make it bigger
  26. 26.🎯 Diya’s leaf identifier is 80% accurate. If it is tested on 90 new leaf photos, how many should it get right?
  27. 27.🎯 Aarav’s fruit sorter is 60% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  28. 28.❌ Diya’s handwriting reader was tested on 15 new handwritten letters and got 13 right. How many did it get wrong?
  29. 29.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 43 right. How many percentage points more accurate is Model A?
  30. 30.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 34 right and Model B got 31 right. How many percentage points more accurate is Model A?
  31. 31.❌ Kabir’s fruit sorter was tested on 25 new fruit photos and got 17 right. How many did it get wrong?
  32. 32.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  33. 33.📦 Diya collected 80 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Ishaan’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  35. 35.🎯 Diya’s spam spotter is 80% accurate. If it is tested on 40 new messages, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — try unseen examples or tag each photo by type? (a) try unseen examples (b) tag each photo by type
  37. 37.❌ Ishaan’s spam spotter was tested on 19 new messages and got 17 right. How many did it get wrong?
  38. 38.📦 Arjun collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  39. 39.📋 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
  40. 40.📦 Rohan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?

Answer key

  1. 100
  2. 30
  3. 24
  4. paper and examples
  5. correct ÷ total × 100
  6. set aside test photos
  7. 4
  8. let it learn patterns
  9. 18
  10. 60
  11. 90
  12. 7
  13. 52
  14. 10
  15. 112
  16. 28
  17. try unseen examples
  18. 65
  19. 6
  20. 100
  21. pick a question to solve
  22. more labelled examples
  23. 96
  24. 60
  25. to see if it learned
  26. 72
  27. 18
  28. 2
  29. 12
  30. 6
  31. 8
  32. 20
  33. 64
  34. 48
  35. 32
  36. tag each photo by type
  37. 2
  38. 88
  39. work out the accuracy
  40. 160

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