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AI for students lesson 23: Design a tiny AI project · Set 26 · 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.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) more labelled examples (c) a new colour screen (d) a louder speaker
  2. 2.❌ Aarav’s fruit sorter was tested on 20 new fruit photos and got 15 right. How many did it get wrong?
  3. 3.📋 Planning an AI project: which comes first — train the model or label each example? (a) train the model (b) label each example
  4. 4.🧪 What is accuracy? (a) total − correct (b) correct ÷ total × 100 (c) total × 2 (d) correct + total
  5. 5.📦 Arjun collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  6. 6.📋 Planning an AI project: which comes first — let it learn patterns or gather many examples? (a) let it learn patterns (b) gather many examples
  7. 7.📋 Planning an AI project: which comes first — correct bad labels or work out the accuracy? (a) correct bad labels (b) work out the accuracy
  8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
  9. 9.🎯 Rohan’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
  10. 10.📋 Planning an AI project: which comes first — calculate percent right or split train and test? (a) calculate percent right (b) split train and test
  11. 11.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 39 right and Model B got 31 right. How many percentage points more accurate is Model A?
  12. 12.❌ Vihaan’s recycling sorter was tested on 32 new waste photos and got 30 right. How many did it get wrong?
  13. 13.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 49 right. How many percentage points more accurate is Model A?
  14. 14.🎯 Saanvi’s handwriting reader is 50% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  15. 15.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  16. 16.📋 Planning an AI project: which comes first — tag each photo by type or fix it and test again? (a) tag each photo by type (b) fix it and test again
  17. 17.🎯 Rohan’s spam spotter was tested on 25 new messages and got 17 right. What is its accuracy in percent?
  18. 18.🎯 Vihaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — correct bad labels or test on new photos? (a) correct bad labels (b) test on new photos
  20. 20.🎯 Ishaan’s leaf identifier is 50% accurate. If it is tested on 60 new leaf photos, how many should it get right?
  21. 21.🎯 Rohan’s handwriting reader is 60% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  22. 22.❌ Diya’s leaf identifier was tested on 23 new leaf photos and got 21 right. How many did it get wrong?
  23. 23.🎯 Vihaan’s handwriting reader was tested on 20 new handwritten letters and got 20 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — pick a question to solve or set aside test photos? (a) pick a question to solve (b) set aside test photos
  25. 25.📦 Arjun collected 60 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  26. 26.❌ Arjun’s fruit sorter was tested on 36 new fruit photos and got 35 right. How many did it get wrong?
  27. 27.🎯 Diya’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
  28. 28.📦 Diya collected 110 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  29. 29.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  30. 30.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 40 right and Model B got 39 right. How many percentage points more accurate is Model A?
  31. 31.❌ Tara’s recycling sorter was tested on 40 new waste photos and got 36 right. How many did it get wrong?
  32. 32.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 27 right and Model B got 26 right. How many percentage points more accurate is Model A?
  33. 33.📦 Diya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Arjun’s recycling sorter was tested on 25 new waste photos and got 14 right. What is its accuracy in percent?
  35. 35.📦 Ananya collected 170 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  36. 36.🎯 Arjun’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
  37. 37.🧪 You can plan a simple AI project with… (a) nothing at all (b) paper and examples (c) a secret password (d) only a big robot
  38. 38.📋 Planning an AI project: which comes first — split train and test or try unseen examples? (a) split train and test (b) try unseen examples
  39. 39.🎯 Ananya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — collect fruit photos or correct bad labels? (a) collect fruit photos (b) correct bad labels

Answer key

  1. more labelled examples
  2. 5
  3. label each example
  4. correct ÷ total × 100
  5. 128
  6. gather many examples
  7. correct bad labels
  8. to see if it learned
  9. 80
  10. split train and test
  11. 16
  12. 2
  13. 2
  14. 30
  15. 80
  16. tag each photo by type
  17. 68
  18. 75
  19. correct bad labels
  20. 30
  21. 18
  22. 2
  23. 100
  24. pick a question to solve
  25. 48
  26. 1
  27. 50
  28. 88
  29. work out the accuracy
  30. 2
  31. 4
  32. 2
  33. 56
  34. 56
  35. 136
  36. 90
  37. paper and examples
  38. split train and test
  39. 50
  40. collect fruit photos

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