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AI for students lesson 23: Design a tiny AI project · Set 754 · 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 — calculate percent right or label each example? (a) calculate percent right (b) label each example
  2. 2.❌ Tara’s handwriting reader was tested on 50 new handwritten letters and got 47 right. How many did it get wrong?
  3. 3.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) a new colour screen (d) more labelled examples
  4. 4.🎯 Rohan’s bird-song app was tested on 10 new bird songs and got 8 right. What is its accuracy in percent?
  5. 5.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
  6. 6.📦 Arjun collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  7. 7.🎯 Kabir’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
  8. 8.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
  9. 9.📦 Meera collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 22 right and Model B got 15 right. How many percentage points more accurate is Model A?
  11. 11.🎯 Tara’s handwriting reader was tested on 20 new handwritten letters and got 10 right. What is its accuracy in percent?
  12. 12.📦 Nisha collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  13. 13.❌ Tara’s spam spotter was tested on 33 new messages and got 29 right. How many did it get wrong?
  14. 14.🎯 Tara’s leaf identifier is 60% accurate. If it is tested on 50 new leaf photos, how many should it get right?
  15. 15.🎯 Aarav’s fruit sorter is 90% accurate. If it is tested on 20 new fruit photos, how many should it get right?
  16. 16.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  17. 17.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 22 right and Model B got 18 right. How many percentage points more accurate is Model A?
  18. 18.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 16 right and Model B got 14 right. How many percentage points more accurate is Model A?
  19. 19.📦 Diya collected 90 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  20. 20.📦 Vihaan collected 150 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  21. 21.📋 Planning an AI project: which comes first — calculate percent right or train the model? (a) calculate percent right (b) train the model
  22. 22.📋 Planning an AI project: which comes first — correct bad labels or calculate percent right? (a) correct bad labels (b) calculate percent right
  23. 23.🎯 Arjun’s leaf identifier is 80% accurate. If it is tested on 10 new leaf photos, how many should it get right?
  24. 24.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 49 right and Model B got 44 right. How many percentage points more accurate is Model A?
  25. 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to save paper (d) to see if it learned
  26. 26.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 19 right and Model B got 16 right. How many percentage points more accurate is Model A?
  27. 27.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  28. 28.🎯 Rohan’s leaf identifier was tested on 4 new leaf photos and got 2 right. What is its accuracy in percent?
  29. 29.🎯 Meera’s spam spotter was tested on 5 new messages and got 5 right. What is its accuracy in percent?
  30. 30.📋 Planning an AI project: which comes first — recheck every label or label each example? (a) recheck every label (b) label each example
  31. 31.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 39 right and Model B got 27 right. How many percentage points more accurate is Model A?
  32. 32.🎯 Aarav’s recycling sorter is 70% accurate. If it is tested on 20 new waste photos, how many should it get right?
  33. 33.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
  34. 34.❌ Ishaan’s fruit sorter was tested on 34 new fruit photos and got 26 right. How many did it get wrong?
  35. 35.📦 Vihaan collected 40 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  36. 36.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 60 new fruit photos, how many should it get right?
  37. 37.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 15 right and Model B got 14 right. How many percentage points more accurate is Model A?
  38. 38.📋 Planning an AI project: which comes first — split train and test or let it learn patterns? (a) split train and test (b) let it learn patterns
  39. 39.🎯 Aarav’s spam spotter is 90% accurate. If it is tested on 30 new messages, how many should it get right?
  40. 40.❌ Nisha’s recycling sorter was tested on 43 new waste photos and got 34 right. How many did it get wrong?

Answer key

  1. label each example
  2. 3
  3. more labelled examples
  4. 80
  5. 80
  6. 88
  7. 100
  8. set aside test photos
  9. 144
  10. 28
  11. 50
  12. 88
  13. 4
  14. 30
  15. 18
  16. split train and test
  17. 16
  18. 10
  19. 72
  20. 120
  21. train the model
  22. correct bad labels
  23. 8
  24. 10
  25. to see if it learned
  26. 12
  27. work out the accuracy
  28. 50
  29. 100
  30. label each example
  31. 24
  32. 14
  33. correct ÷ total × 100
  34. 8
  35. 32
  36. 48
  37. 4
  38. split train and test
  39. 27
  40. 9

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