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AI for students lesson 23: Design a tiny AI project · Set 680 · 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.🎯 Kabir’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  2. 2.📋 Planning an AI project: which comes first — improve data, retest or gather many examples? (a) improve data, retest (b) gather many examples
  3. 3.⚖️ Two leaf identifier models were tested on the same 20 leaf photos. Model A got 18 right and Model B got 17 right. How many percentage points more accurate is Model A?
  4. 4.📋 Planning an AI project: which comes first — correct bad labels or tag each photo by type? (a) correct bad labels (b) tag each photo by type
  5. 5.🎯 Aarav’s leaf identifier is 90% accurate. If it is tested on 30 new leaf photos, how many should it get right?
  6. 6.❌ Diya’s spam spotter was tested on 37 new messages and got 31 right. How many did it get wrong?
  7. 7.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct ÷ total × 100 (d) correct + total
  8. 8.📋 Planning an AI project: which comes first — label each example or choose what to sort? (a) label each example (b) choose what to sort
  9. 9.📦 Nisha collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  10. 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to see if it learned (c) to make it bigger (d) to save paper
  11. 11.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  12. 12.🎯 Ishaan’s bird-song app was tested on 5 new bird songs and got 5 right. What is its accuracy in percent?
  13. 13.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
  14. 14.📦 Ananya collected 70 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  15. 15.🎯 Meera’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
  16. 16.🎯 Diya’s handwriting reader was tested on 20 new handwritten letters and got 17 right. What is its accuracy in percent?
  17. 17.📋 Planning an AI project: which comes first — label each example or improve data, retest? (a) label each example (b) improve data, retest
  18. 18.⚖️ Two spam spotter models were tested on the same 25 messages. Model A got 23 right and Model B got 21 right. How many percentage points more accurate is Model A?
  19. 19.🎯 Nisha’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  20. 20.📦 Nisha collected 100 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  21. 21.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 25 right and Model B got 15 right. How many percentage points more accurate is Model A?
  22. 22.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model
  23. 23.🎯 Nisha’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?
  24. 24.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
  25. 25.📦 Diya collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  26. 26.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
  27. 27.📦 Diya collected 160 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  28. 28.❌ Nisha’s leaf identifier was tested on 27 new leaf photos and got 22 right. How many did it get wrong?
  29. 29.📦 Arjun collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  30. 30.📦 Ananya collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  31. 31.⚖️ Two leaf identifier models were tested on the same 50 leaf photos. Model A got 36 right and Model B got 30 right. How many percentage points more accurate is Model A?
  32. 32.📦 Arjun collected 130 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
  33. 33.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a new colour screen (c) a louder speaker (d) more labelled examples
  34. 34.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 10 right and Model B got 5 right. How many percentage points more accurate is Model A?
  35. 35.❌ Ananya’s spam spotter was tested on 41 new messages and got 32 right. How many did it get wrong?
  36. 36.🎯 Meera’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
  37. 37.📋 Planning an AI project: which comes first — recheck every label or gather many examples? (a) recheck every label (b) gather many examples
  38. 38.🎯 Vihaan’s spam spotter is 50% accurate. If it is tested on 60 new messages, how many should it get right?
  39. 39.📋 Planning an AI project: which comes first — choose what to sort or train the model? (a) choose what to sort (b) train the model
  40. 40.📋 Planning an AI project: which comes first — split train and test or pick a question to solve? (a) split train and test (b) pick a question to solve

Answer key

  1. 50
  2. gather many examples
  3. 5
  4. tag each photo by type
  5. 27
  6. 6
  7. correct ÷ total × 100
  8. choose what to sort
  9. 128
  10. to see if it learned
  11. work out the accuracy
  12. 100
  13. gather many examples
  14. 56
  15. 75
  16. 85
  17. label each example
  18. 8
  19. 75
  20. 80
  21. 40
  22. train the model
  23. 80
  24. correct bad labels
  25. 32
  26. try unseen examples
  27. 128
  28. 5
  29. 144
  30. 144
  31. 12
  32. 104
  33. more labelled examples
  34. 50
  35. 9
  36. 7
  37. gather many examples
  38. 30
  39. choose what to sort
  40. pick a question to solve

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