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AI for students lesson 23: Design a tiny AI project · Set 329 · 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.🎯 Meera’s leaf identifier is 90% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  2. 2.📋 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
  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.📋 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
  5. 5.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to save paper (c) to see if it learned (d) to make it faster
  6. 6.📋 Planning an AI project: which comes first — calculate percent right or test on new photos? (a) calculate percent right (b) test on new photos
  7. 7.📋 Planning an AI project: which comes first — label each example or split train and test? (a) label each example (b) split train and test
  8. 8.🎯 Vihaan’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  9. 9.🎯 Aarav’s leaf identifier is 50% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  10. 10.🎯 Nisha’s fruit sorter is 50% accurate. If it is tested on 70 new fruit photos, how many should it get right?
  11. 11.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) fewer examples (c) more labelled examples (d) a louder speaker
  12. 12.🎯 Arjun’s bird-song app is 80% accurate. If it is tested on 100 new bird songs, how many should it get right?
  13. 13.🎯 Arjun’s leaf identifier is 90% accurate. If it is tested on 80 new leaf photos, how many should it get right?
  14. 14.🧪 What is accuracy? (a) correct + total (b) total − correct (c) total × 2 (d) correct ÷ total × 100
  15. 15.🧪 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
  16. 16.📋 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
  17. 17.🎯 Rohan’s spam spotter was tested on 20 new messages and got 13 right. What is its accuracy in percent?
  18. 18.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  19. 19.📋 Planning an AI project: which comes first — pick a question to solve or train the model? (a) pick a question to solve (b) train the model
  20. 20.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  21. 21.🎯 Diya’s handwriting reader is 80% accurate. If it is tested on 60 new handwritten letters, how many should it get right?
  22. 22.📦 Nisha collected 120 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  23. 23.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  24. 24.❌ Rohan’s spam spotter was tested on 33 new messages and got 26 right. How many did it get wrong?
  25. 25.🎯 Aarav’s recycling sorter is 50% accurate. If it is tested on 100 new waste photos, how many should it get right?
  26. 26.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 13 right and Model B got 11 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  28. 28.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 25 right and Model B got 21 right. How many percentage points more accurate is Model A?
  29. 29.❌ Saanvi’s recycling sorter was tested on 18 new waste photos and got 17 right. How many did it get wrong?
  30. 30.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 11 right. How many percentage points more accurate is Model A?
  31. 31.📋 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
  32. 32.🎯 Aarav’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  33. 33.🎯 Arjun’s handwriting reader is 60% accurate. If it is tested on 90 new handwritten letters, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  35. 35.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 35 right. How many percentage points more accurate is Model A?
  36. 36.📋 Planning an AI project: which comes first — improve data, retest or split train and test? (a) improve data, retest (b) split train and test
  37. 37.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
  38. 38.📋 Planning an AI project: which comes first — test on new photos or recheck every label? (a) test on new photos (b) recheck every label
  39. 39.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 17 right and Model B got 14 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — fix it and test again or tag each photo by type? (a) fix it and test again (b) tag each photo by type

Answer key

  1. 36
  2. pick a question to solve
  3. 160
  4. work out the accuracy
  5. to see if it learned
  6. test on new photos
  7. label each example
  8. 100
  9. 20
  10. 35
  11. more labelled examples
  12. 80
  13. 72
  14. correct ÷ total × 100
  15. paper and examples
  16. test on new photos
  17. 65
  18. split train and test
  19. pick a question to solve
  20. calculate percent right
  21. 48
  22. 96
  23. 20
  24. 7
  25. 50
  26. 10
  27. try unseen examples
  28. 16
  29. 1
  30. 35
  31. work out the accuracy
  32. 80
  33. 54
  34. calculate percent right
  35. 28
  36. split train and test
  37. try unseen examples
  38. recheck every label
  39. 12
  40. tag each photo by type

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