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AI for students lesson 23: Design a tiny AI project · Set 35 · 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.❌ Nisha’s leaf identifier was tested on 21 new leaf photos and got 19 right. How many did it get wrong?
  2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) a louder speaker (d) more labelled examples
  3. 3.📦 Kabir collected 110 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  4. 4.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
  6. 6.📦 Kabir collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.🎯 Saanvi’s leaf identifier was tested on 20 new leaf photos and got 12 right. What is its accuracy in percent?
  8. 8.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  9. 9.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  10. 10.📦 Tara collected 90 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  11. 11.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  12. 12.🎯 Meera’s fruit sorter is 50% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  13. 13.📋 Planning an AI project: which comes first — set aside test photos or collect fruit photos? (a) set aside test photos (b) collect fruit photos
  14. 14.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
  15. 15.📋 Planning an AI project: which comes first — pick a question to solve or tag each photo by type? (a) pick a question to solve (b) tag each photo by type
  16. 16.🧪 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
  17. 17.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  18. 18.🎯 Kabir’s fruit sorter is 60% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  19. 19.📦 Meera collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  20. 20.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
  21. 21.📋 Planning an AI project: which comes first — train the model or try unseen examples? (a) train the model (b) try unseen examples
  22. 22.📋 Planning an AI project: which comes first — set aside test photos or gather many examples? (a) set aside test photos (b) gather many examples
  23. 23.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
  24. 24.🎯 Ishaan’s leaf identifier is 60% accurate. If it is tested on 100 new leaf photos, how many should it get right?
  25. 25.📦 Arjun collected 120 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 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
  27. 27.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
  28. 28.📋 Planning an AI project: which comes first — calculate percent right or pick a question to solve? (a) calculate percent right (b) pick a question to solve
  29. 29.📦 Saanvi collected 140 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  30. 30.❌ Aarav’s recycling sorter was tested on 35 new waste photos and got 28 right. How many did it get wrong?
  31. 31.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
  32. 32.📦 Kabir collected 150 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🎯 Ananya’s leaf identifier is 60% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  35. 35.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 8 right and Model B got 6 right. How many percentage points more accurate is Model A?
  36. 36.❌ Kabir’s handwriting reader was tested on 35 new handwritten letters and got 33 right. How many did it get wrong?
  37. 37.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 7 right. How many percentage points more accurate is Model A?
  38. 38.❌ Ishaan’s fruit sorter was tested on 35 new fruit photos and got 27 right. How many did it get wrong?
  39. 39.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  40. 40.❌ Diya’s recycling sorter was tested on 13 new waste photos and got 12 right. How many did it get wrong?

Answer key

  1. 2
  2. more labelled examples
  3. 88
  4. work out the accuracy
  5. to see if it learned
  6. 40
  7. 60
  8. 35
  9. try unseen examples
  10. 72
  11. 10
  12. 50
  13. collect fruit photos
  14. 10
  15. pick a question to solve
  16. paper and examples
  17. correct ÷ total × 100
  18. 12
  19. 32
  20. test on new photos
  21. train the model
  22. gather many examples
  23. 100
  24. 60
  25. 96
  26. work out the accuracy
  27. 10
  28. pick a question to solve
  29. 112
  30. 7
  31. label each example
  32. 120
  33. 6
  34. let it learn patterns
  35. 20
  36. 2
  37. 20
  38. 8
  39. 25
  40. 1

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