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AI for students lesson 23: Design a tiny AI project · Set 619 · 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.🎯 Aarav’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  2. 2.❌ Diya’s bird-song app was tested on 16 new bird songs and got 12 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.📦 Saanvi collected 110 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  5. 5.🧪 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
  6. 6.🧪 What is accuracy? (a) correct + total (b) total − correct (c) correct ÷ total × 100 (d) total × 2
  7. 7.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
  8. 8.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  9. 9.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
  10. 10.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 6 right. How many percentage points more accurate is Model A?
  11. 11.📋 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
  12. 12.❌ Kabir’s bird-song app was tested on 13 new bird songs and got 10 right. How many did it get wrong?
  13. 13.🎯 Ananya’s handwriting reader was tested on 5 new handwritten letters and got 4 right. What is its accuracy in percent?
  14. 14.📋 Planning an AI project: which comes first — let it learn patterns or calculate percent right? (a) let it learn patterns (b) calculate percent right
  15. 15.📦 Meera collected 70 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Rohan’s leaf identifier was tested on 20 new leaf photos and got 10 right. What is its accuracy in percent?
  17. 17.🎯 Meera’s spam spotter is 90% accurate. If it is tested on 10 new messages, how many should it get right?
  18. 18.📦 Aarav collected 50 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  19. 19.📋 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
  20. 20.📋 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
  21. 21.🎯 Kabir’s fruit sorter was tested on 25 new fruit photos and got 16 right. What is its accuracy in percent?
  22. 22.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 14 right. How many percentage points more accurate is Model A?
  23. 23.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
  24. 24.🎯 Kabir’s handwriting reader was tested on 50 new handwritten letters and got 29 right. What is its accuracy in percent?
  25. 25.❌ Nisha’s handwriting reader was tested on 25 new handwritten letters and got 16 right. How many did it get wrong?
  26. 26.🎯 Tara’s bird-song app was tested on 10 new bird songs and got 5 right. What is its accuracy in percent?
  27. 27.🎯 Saanvi’s spam spotter is 90% accurate. If it is tested on 20 new messages, how many should it get right?
  28. 28.🎯 Saanvi’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
  29. 29.📦 Rohan collected 110 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📋 Planning an AI project: which comes first — train the model or work out the accuracy? (a) train the model (b) work out the accuracy
  31. 31.❌ Arjun’s handwriting reader was tested on 25 new handwritten letters and got 23 right. How many did it get wrong?
  32. 32.❌ Diya’s handwriting reader was tested on 39 new handwritten letters and got 30 right. How many did it get wrong?
  33. 33.📦 Kabir collected 60 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🎯 Ishaan’s fruit sorter was tested on 20 new fruit photos and got 12 right. What is its accuracy in percent?
  35. 35.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  36. 36.❌ Meera’s recycling sorter was tested on 37 new waste photos and got 32 right. How many did it get wrong?
  37. 37.📋 Planning an AI project: which comes first — recheck every label or let it learn patterns? (a) recheck every label (b) let it learn patterns
  38. 38.❌ Nisha’s recycling sorter was tested on 44 new waste photos and got 37 right. How many did it get wrong?
  39. 39.🎯 Diya’s bird-song app was tested on 20 new bird songs and got 20 right. What is its accuracy in percent?
  40. 40.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right

Answer key

  1. 60
  2. 4
  3. more labelled examples
  4. 88
  5. to see if it learned
  6. correct ÷ total × 100
  7. 5
  8. train the model
  9. calculate percent right
  10. 10
  11. work out the accuracy
  12. 3
  13. 80
  14. let it learn patterns
  15. 56
  16. 50
  17. 9
  18. 40
  19. split train and test
  20. pick a question to solve
  21. 64
  22. 44
  23. label each example
  24. 58
  25. 9
  26. 50
  27. 18
  28. 40
  29. 88
  30. train the model
  31. 2
  32. 9
  33. 48
  34. 60
  35. work out the accuracy
  36. 5
  37. recheck every label
  38. 7
  39. 100
  40. try unseen examples

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