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AI for students lesson 23: Design a tiny AI project · Set 909 · 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.🧪 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
  2. 2.🎯 Nisha’s bird-song app was tested on 10 new bird songs and got 6 right. What is its accuracy in percent?
  3. 3.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  4. 4.⚖️ Two handwriting reader models were tested on the same 50 handwritten letters. Model A got 30 right and Model B got 29 right. How many percentage points more accurate is Model A?
  5. 5.🎯 Diya’s recycling sorter is 90% accurate. If it is tested on 60 new waste photos, how many should it get right?
  6. 6.📦 Rohan collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  7. 7.⚖️ Two handwriting reader models were tested on the same 25 handwritten letters. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
  8. 8.⚖️ Two fruit sorter models were tested on the same 50 fruit photos. Model A got 50 right and Model B got 28 right. How many percentage points more accurate is Model A?
  9. 9.📋 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
  10. 10.📋 Planning an AI project: which comes first — gather many examples or train the model? (a) gather many examples (b) train the model
  11. 11.📦 Vihaan collected 180 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  12. 12.📦 Arjun collected 200 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  13. 13.📋 Planning an AI project: which comes first — collect fruit photos or pick a question to solve? (a) collect fruit photos (b) pick a question to solve
  14. 14.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) correct ÷ total × 100 (d) total − correct
  15. 15.❌ Kabir’s fruit sorter was tested on 26 new fruit photos and got 21 right. How many did it get wrong?
  16. 16.⚖️ Two recycling sorter models were tested on the same 50 waste photos. Model A got 44 right and Model B got 25 right. How many percentage points more accurate is Model A?
  17. 17.📦 Kabir collected 170 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  18. 18.🧪 Why must you test a model on examples it has NOT seen? (a) to see if it learned (b) to make it faster (c) to make it bigger (d) to save paper
  19. 19.❌ Meera’s spam spotter was tested on 31 new messages and got 23 right. How many did it get wrong?
  20. 20.📋 Planning an AI project: which comes first — train the model or improve data, retest? (a) train the model (b) improve data, retest
  21. 21.❌ Ananya’s fruit sorter was tested on 30 new fruit photos and got 26 right. How many did it get wrong?
  22. 22.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
  23. 23.❌ Tara’s bird-song app was tested on 47 new bird songs and got 41 right. How many did it get wrong?
  24. 24.🎯 Vihaan’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  25. 25.⚖️ Two leaf identifier models were tested on the same 10 leaf photos. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
  26. 26.🎯 Rohan’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  27. 27.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
  28. 28.📋 Planning an AI project: which comes first — correct bad labels or split train and test? (a) correct bad labels (b) split train and test
  29. 29.📦 Ishaan collected 160 labelled handwritten letters for a handwriting reader 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 calculate percent right? (a) train the model (b) calculate percent right
  31. 31.📋 Planning an AI project: which comes first — split train and test or improve data, retest? (a) split train and test (b) improve data, retest
  32. 32.📦 Diya collected 80 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) only a big robot (d) a secret password
  34. 34.🎯 Vihaan’s fruit sorter is 50% accurate. If it is tested on 40 new fruit photos, how many should it get right?
  35. 35.📋 Planning an AI project: which comes first — calculate percent right or fix it and test again? (a) calculate percent right (b) fix it and test again
  36. 36.🎯 Saanvi’s leaf identifier was tested on 10 new leaf photos and got 9 right. What is its accuracy in percent?
  37. 37.🎯 Aarav’s handwriting reader was tested on 20 new handwritten letters and got 19 right. What is its accuracy in percent?
  38. 38.📋 Planning an AI project: which comes first — train the model or gather many examples? (a) train the model (b) gather many examples
  39. 39.🎯 Tara’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
  40. 40.❌ Diya’s fruit sorter was tested on 21 new fruit photos and got 12 right. How many did it get wrong?

Answer key

  1. more labelled examples
  2. 60
  3. try unseen examples
  4. 2
  5. 54
  6. 112
  7. 8
  8. 44
  9. set aside test photos
  10. gather many examples
  11. 144
  12. 160
  13. pick a question to solve
  14. correct ÷ total × 100
  15. 5
  16. 38
  17. 136
  18. to see if it learned
  19. 8
  20. train the model
  21. 4
  22. recheck every label
  23. 6
  24. 50
  25. 20
  26. 32
  27. calculate percent right
  28. correct bad labels
  29. 128
  30. train the model
  31. split train and test
  32. 64
  33. paper and examples
  34. 20
  35. calculate percent right
  36. 90
  37. 95
  38. gather many examples
  39. 28
  40. 9

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