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AI for students lesson 23: Design a tiny AI project · Set 243 · 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.🎯 Diya’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
  2. 2.❌ Vihaan’s recycling sorter was tested on 42 new waste photos and got 35 right. How many did it get wrong?
  3. 3.📦 Meera collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  4. 4.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
  5. 5.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 48 right and Model B got 47 right. How many percentage points more accurate is Model A?
  6. 6.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) a new colour screen (d) more labelled examples
  7. 7.📋 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
  8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
  9. 9.❌ Ananya’s leaf identifier was tested on 36 new leaf photos and got 31 right. How many did it get wrong?
  10. 10.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 47 right and Model B got 33 right. How many percentage points more accurate is Model A?
  11. 11.📋 Planning an AI project: which comes first — split train and test or tag each photo by type? (a) split train and test (b) tag each photo by type
  12. 12.⚖️ Two recycling sorter models were tested on the same 20 waste photos. Model A got 19 right and Model B got 17 right. How many percentage points more accurate is Model A?
  13. 13.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  14. 14.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 37 right and Model B got 25 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  16. 16.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  17. 17.🎯 Ishaan’s spam spotter was tested on 10 new messages and got 5 right. What is its accuracy in percent?
  18. 18.🎯 Diya’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
  19. 19.❌ Rohan’s spam spotter was tested on 21 new messages and got 16 right. How many did it get wrong?
  20. 20.📦 Kabir collected 80 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — collect fruit photos or label each example? (a) collect fruit photos (b) label each example
  22. 22.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
  23. 23.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total × 2 (d) total − correct
  24. 24.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  25. 25.📋 Planning an AI project: which comes first — test on new photos or pick a question to solve? (a) test on new photos (b) pick a question to solve
  26. 26.❌ Tara’s spam spotter was tested on 41 new messages and got 33 right. How many did it get wrong?
  27. 27.📦 Vihaan collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  28. 28.❌ Vihaan’s fruit sorter was tested on 38 new fruit photos and got 35 right. How many did it get wrong?
  29. 29.🎯 Tara’s spam spotter is 90% accurate. If it is tested on 80 new messages, how many should it get right?
  30. 30.📋 Planning an AI project: which comes first — try unseen examples or label each example? (a) try unseen examples (b) label each example
  31. 31.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
  32. 32.📦 Aarav collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  33. 33.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  34. 34.❌ Kabir’s leaf identifier was tested on 38 new leaf photos and got 33 right. How many did it get wrong?
  35. 35.🎯 Aarav’s fruit sorter was tested on 25 new fruit photos and got 15 right. What is its accuracy in percent?
  36. 36.📋 Planning an AI project: which comes first — set aside test photos or correct bad labels? (a) set aside test photos (b) correct bad labels
  37. 37.🎯 Vihaan’s bird-song app is 70% accurate. If it is tested on 100 new bird songs, how many should it get right?
  38. 38.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 34 right and Model B got 28 right. How many percentage points more accurate is Model A?
  39. 39.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 14 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — correct bad labels or label each example? (a) correct bad labels (b) label each example

Answer key

  1. 80
  2. 7
  3. 160
  4. paper and examples
  5. 2
  6. more labelled examples
  7. work out the accuracy
  8. to see if it learned
  9. 5
  10. 28
  11. tag each photo by type
  12. 10
  13. 20
  14. 24
  15. calculate percent right
  16. 50
  17. 50
  18. 100
  19. 5
  20. 64
  21. collect fruit photos
  22. 2
  23. correct ÷ total × 100
  24. 10
  25. pick a question to solve
  26. 8
  27. 160
  28. 3
  29. 72
  30. label each example
  31. 35
  32. 88
  33. split train and test
  34. 5
  35. 60
  36. correct bad labels
  37. 70
  38. 12
  39. 70
  40. label each example

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