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AI for students lesson 23: Design a tiny AI project · Set 193 · 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.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total × 2 (c) correct + total (d) total − correct
  2. 2.🎯 Tara’s recycling sorter was tested on 5 new waste photos and got 5 right. What is its accuracy in percent?
  3. 3.🎯 Nisha’s handwriting reader is 50% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  4. 4.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it bigger (c) to make it faster (d) to save paper
  5. 5.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 45 right and Model B got 37 right. How many percentage points more accurate is Model A?
  6. 6.📋 Planning an AI project: which comes first — label each example or test on new photos? (a) label each example (b) test on new photos
  7. 7.🎯 Saanvi’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
  8. 8.🎯 Kabir’s fruit sorter is 90% accurate. If it is tested on 50 new fruit photos, how many should it get right?
  9. 9.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 24 right. How many percentage points more accurate is Model A?
  10. 10.📋 Planning an AI project: which comes first — test on new photos or set aside test photos? (a) test on new photos (b) set aside test photos
  11. 11.❌ Aarav’s recycling sorter was tested on 21 new waste photos and got 19 right. How many did it get wrong?
  12. 12.🎯 Kabir’s spam spotter is 50% accurate. If it is tested on 100 new messages, how many should it get right?
  13. 13.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  14. 14.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 12 right. How many percentage points more accurate is Model A?
  15. 15.🎯 Kabir’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
  16. 16.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
  17. 17.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  18. 18.📋 Planning an AI project: which comes first — pick a question to solve or label each example? (a) pick a question to solve (b) label each example
  19. 19.📋 Planning an AI project: which comes first — correct bad labels or improve data, retest? (a) correct bad labels (b) improve data, retest
  20. 20.⚖️ Two handwriting reader models were tested on the same 10 handwritten letters. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  21. 21.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  22. 22.📋 Planning an AI project: which comes first — fix it and test again or let it learn patterns? (a) fix it and test again (b) let it learn patterns
  23. 23.📋 Planning an AI project: which comes first — try unseen examples or fix it and test again? (a) try unseen examples (b) fix it and test again
  24. 24.🎯 Ananya’s recycling sorter was tested on 5 new waste photos and got 4 right. What is its accuracy in percent?
  25. 25.🎯 Aarav’s leaf identifier is 70% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  26. 26.📋 Planning an AI project: which comes first — improve data, retest or pick a question to solve? (a) improve data, retest (b) pick a question to solve
  27. 27.🎯 Ananya’s fruit sorter is 80% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  28. 28.📋 Planning an AI project: which comes first — fix it and test again or try unseen examples? (a) fix it and test again (b) try unseen examples
  29. 29.🎯 Diya’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  30. 30.🧪 You can plan a simple AI project with… (a) nothing at all (b) a secret password (c) paper and examples (d) only a big robot
  31. 31.🎯 Saanvi’s spam spotter was tested on 4 new messages and got 4 right. What is its accuracy in percent?
  32. 32.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) more labelled examples (c) a louder speaker (d) fewer examples
  33. 33.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  34. 34.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 12 right and Model B got 11 right. How many percentage points more accurate is Model A?
  35. 35.📋 Planning an AI project: which comes first — test on new photos or tag each photo by type? (a) test on new photos (b) tag each photo by type
  36. 36.🎯 Aarav’s fruit sorter is 80% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  37. 37.🎯 Vihaan’s leaf identifier was tested on 4 new leaf photos and got 3 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
  39. 39.❌ Nisha’s handwriting reader was tested on 31 new handwritten letters and got 24 right. How many did it get wrong?
  40. 40.🎯 Saanvi’s fruit sorter is 90% accurate. If it is tested on 80 new fruit photos, how many should it get right?

Answer key

  1. correct ÷ total × 100
  2. 100
  3. 20
  4. to see if it learned
  5. 16
  6. label each example
  7. 85
  8. 45
  9. 4
  10. set aside test photos
  11. 2
  12. 50
  13. 10
  14. 20
  15. 100
  16. 75
  17. work out the accuracy
  18. pick a question to solve
  19. correct bad labels
  20. 20
  21. test on new photos
  22. let it learn patterns
  23. try unseen examples
  24. 80
  25. 21
  26. pick a question to solve
  27. 16
  28. try unseen examples
  29. 50
  30. paper and examples
  31. 100
  32. more labelled examples
  33. let it learn patterns
  34. 5
  35. tag each photo by type
  36. 32
  37. 75
  38. label each example
  39. 7
  40. 72

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