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AI for students lesson 23: Design a tiny AI project · Set 699 · 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.🧪 You can plan a simple AI project with… (a) a secret password (b) only a big robot (c) paper and examples (d) nothing at all
  2. 2.📋 Planning an AI project: which comes first — calculate percent right or gather many examples? (a) calculate percent right (b) gather many examples
  3. 3.🎯 Kabir’s bird-song app is 70% accurate. If it is tested on 30 new bird songs, how many should it get right?
  4. 4.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 6 right and Model B got 5 right. How many percentage points more accurate is Model A?
  5. 5.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  6. 6.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
  7. 7.📦 Vihaan collected 90 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  8. 8.📋 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
  9. 9.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
  10. 10.📋 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
  11. 11.📋 Planning an AI project: which comes first — pick a question to solve or collect fruit photos? (a) pick a question to solve (b) collect fruit photos
  12. 12.❌ Arjun’s leaf identifier was tested on 19 new leaf photos and got 14 right. How many did it get wrong?
  13. 13.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
  14. 14.📋 Planning an AI project: which comes first — recheck every label or pick a question to solve? (a) recheck every label (b) pick a question to solve
  15. 15.📋 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
  16. 16.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
  17. 17.🎯 Nisha’s bird-song app was tested on 50 new bird songs and got 42 right. What is its accuracy in percent?
  18. 18.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  19. 19.🎯 Meera’s fruit sorter was tested on 20 new fruit photos and got 18 right. What is its accuracy in percent?
  20. 20.📦 Tara collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
  22. 22.🎯 Aarav’s leaf identifier is 80% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  23. 23.❌ Arjun’s fruit sorter was tested on 34 new fruit photos and got 27 right. How many did it get wrong?
  24. 24.⚖️ Two recycling sorter models were tested on the same 10 waste photos. Model A got 10 right and Model B got 8 right. How many percentage points more accurate is Model A?
  25. 25.🎯 Meera’s bird-song app was tested on 4 new bird songs and got 3 right. What is its accuracy in percent?
  26. 26.📋 Planning an AI project: which comes first — improve data, retest or correct bad labels? (a) improve data, retest (b) correct bad labels
  27. 27.❌ Kabir’s fruit sorter was tested on 28 new fruit photos and got 20 right. How many did it get wrong?
  28. 28.🎯 Arjun’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  29. 29.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  30. 30.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 50 new waste photos, how many should it get right?
  31. 31.📋 Planning an AI project: which comes first — choose what to sort or calculate percent right? (a) choose what to sort (b) calculate percent right
  32. 32.📦 Meera collected 60 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  33. 33.❌ Meera’s spam spotter was tested on 20 new messages and got 17 right. How many did it get wrong?
  34. 34.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  35. 35.📋 Planning an AI project: which comes first — calculate percent right or choose what to sort? (a) calculate percent right (b) choose what to sort
  36. 36.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
  37. 37.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 34 right and Model B got 32 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — test on new photos or collect fruit photos? (a) test on new photos (b) collect fruit photos
  39. 39.📦 Aarav collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  40. 40.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 90 new bird songs, how many should it get right?

Answer key

  1. paper and examples
  2. gather many examples
  3. 21
  4. 10
  5. correct ÷ total × 100
  6. recheck every label
  7. 72
  8. test on new photos
  9. 10
  10. tag each photo by type
  11. pick a question to solve
  12. 5
  13. to see if it learned
  14. pick a question to solve
  15. set aside test photos
  16. more labelled examples
  17. 84
  18. 32
  19. 90
  20. 160
  21. pick a question to solve
  22. 40
  23. 7
  24. 20
  25. 75
  26. correct bad labels
  27. 8
  28. 50
  29. 4
  30. 25
  31. choose what to sort
  32. 48
  33. 3
  34. train the model
  35. choose what to sort
  36. test on new photos
  37. 4
  38. collect fruit photos
  39. 64
  40. 54

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