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AI for students lesson 23: Design a tiny AI project · Set 56 · 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.📋 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
  2. 2.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 30 new fruit photos, how many should it get right?
  3. 3.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) more labelled examples (c) fewer examples (d) a new colour screen
  5. 5.🎯 Tara’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
  6. 6.🎯 Aarav’s handwriting reader is 90% accurate. If it is tested on 40 new handwritten letters, how many should it get right?
  7. 7.❌ Diya’s spam spotter was tested on 50 new messages and got 41 right. How many did it get wrong?
  8. 8.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
  9. 9.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to make it faster (d) to see if it learned
  10. 10.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
  11. 11.🎯 Tara’s spam spotter is 70% accurate. If it is tested on 100 new messages, how many should it get right?
  12. 12.🧪 What is accuracy? (a) total − correct (b) total × 2 (c) correct ÷ total × 100 (d) correct + total
  13. 13.🧪 You can plan a simple AI project with… (a) a secret password (b) paper and examples (c) only a big robot (d) nothing at all
  14. 14.📦 Diya collected 40 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  15. 15.⚖️ Two fruit sorter models were tested on the same 20 fruit photos. Model A got 18 right and Model B got 16 right. How many percentage points more accurate is Model A?
  16. 16.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
  17. 17.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 35 right and Model B got 33 right. How many percentage points more accurate is Model A?
  18. 18.📦 Kabir collected 70 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  19. 19.🎯 Arjun’s handwriting reader is 50% accurate. If it is tested on 30 new handwritten letters, how many should it get right?
  20. 20.❌ Vihaan’s bird-song app was tested on 24 new bird songs and got 18 right. How many did it get wrong?
  21. 21.📦 Saanvi collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  22. 22.🎯 Vihaan’s fruit sorter was tested on 50 new fruit photos and got 45 right. What is its accuracy in percent?
  23. 23.📋 Planning an AI project: which comes first — test on new photos or improve data, retest? (a) test on new photos (b) improve data, retest
  24. 24.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
  25. 25.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  26. 26.❌ Rohan’s fruit sorter was tested on 49 new fruit photos and got 46 right. How many did it get wrong?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  28. 28.🎯 Ishaan’s fruit sorter is 70% accurate. If it is tested on 100 new fruit photos, how many should it get right?
  29. 29.❌ Vihaan’s spam spotter was tested on 37 new messages and got 29 right. How many did it get wrong?
  30. 30.❌ Vihaan’s bird-song app was tested on 17 new bird songs and got 13 right. How many did it get wrong?
  31. 31.📦 Aarav collected 100 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  32. 32.❌ Ishaan’s handwriting reader was tested on 20 new handwritten letters and got 19 right. How many did it get wrong?
  33. 33.🎯 Ananya’s spam spotter is 60% accurate. If it is tested on 70 new messages, how many should it get right?
  34. 34.📋 Planning an AI project: which comes first — train the model or tag each photo by type? (a) train the model (b) tag each photo by type
  35. 35.❌ Ishaan’s bird-song app was tested on 49 new bird songs and got 43 right. How many did it get wrong?
  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.📦 Diya collected 80 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  38. 38.🎯 Rohan’s fruit sorter is 70% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  39. 39.📦 Vihaan collected 40 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  40. 40.📋 Planning an AI project: which comes first — label each example or pick a question to solve? (a) label each example (b) pick a question to solve

Answer key

  1. test on new photos
  2. 21
  3. work out the accuracy
  4. more labelled examples
  5. 64
  6. 36
  7. 9
  8. test on new photos
  9. to see if it learned
  10. try unseen examples
  11. 70
  12. correct ÷ total × 100
  13. paper and examples
  14. 32
  15. 10
  16. 10
  17. 4
  18. 56
  19. 15
  20. 6
  21. 120
  22. 90
  23. test on new photos
  24. train the model
  25. 160
  26. 3
  27. try unseen examples
  28. 70
  29. 8
  30. 4
  31. 80
  32. 1
  33. 42
  34. tag each photo by type
  35. 6
  36. split train and test
  37. 64
  38. 42
  39. 32
  40. pick a question to solve

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