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AI for students lesson 23: Design a tiny AI project · Set 176 · 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.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to see if it learned (c) to make it faster (d) to save paper
  2. 2.❌ Ishaan’s handwriting reader was tested on 26 new handwritten letters and got 19 right. How many did it get wrong?
  3. 3.🎯 Tara’s bird-song app is 50% accurate. If it is tested on 40 new bird songs, how many should it get right?
  4. 4.📋 Planning an AI project: which comes first — test on new photos or gather many examples? (a) test on new photos (b) gather many examples
  5. 5.🧪 What is accuracy? (a) total × 2 (b) total − correct (c) correct + total (d) correct ÷ total × 100
  6. 6.📦 Ananya collected 200 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
  7. 7.🧪 You can plan a simple AI project with… (a) only a big robot (b) a secret password (c) paper and examples (d) nothing at all
  8. 8.🎯 Diya’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
  9. 9.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  10. 10.🎯 Vihaan’s spam spotter is 90% accurate. If it is tested on 50 new messages, how many should it get right?
  11. 11.🎯 Ananya’s bird-song app was tested on 20 new bird songs and got 13 right. What is its accuracy in percent?
  12. 12.🎯 Ananya’s fruit sorter is 60% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  13. 13.❌ Saanvi’s fruit sorter was tested on 43 new fruit photos and got 42 right. How many did it get wrong?
  14. 14.🎯 Meera’s leaf identifier is 80% accurate. If it is tested on 40 new leaf photos, how many should it get right?
  15. 15.📦 Meera collected 50 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🎯 Vihaan’s handwriting reader was tested on 50 new handwritten letters and got 25 right. What is its accuracy in percent?
  17. 17.🎯 Diya’s recycling sorter is 50% accurate. If it is tested on 40 new waste photos, how many should it get right?
  18. 18.🎯 Kabir’s fruit sorter was tested on 5 new fruit photos and got 4 right. What is its accuracy in percent?
  19. 19.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  20. 20.❌ Vihaan’s recycling sorter was tested on 21 new waste photos and got 20 right. How many did it get wrong?
  21. 21.📦 Ananya collected 180 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
  22. 22.📋 Planning an AI project: which comes first — calculate percent right or correct bad labels? (a) calculate percent right (b) correct bad labels
  23. 23.📋 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
  24. 24.📦 Tara collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  25. 25.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 3 right. What is its accuracy in percent?
  26. 26.🎯 Kabir’s recycling sorter is 70% accurate. If it is tested on 70 new waste photos, how many should it get right?
  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.❌ Saanvi’s handwriting reader was tested on 24 new handwritten letters and got 18 right. How many did it get wrong?
  29. 29.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 17 right and Model B got 15 right. How many percentage points more accurate is Model A?
  30. 30.📋 Planning an AI project: which comes first — split train and test or train the model? (a) split train and test (b) train the model
  31. 31.🎯 Meera’s fruit sorter was tested on 10 new fruit photos and got 6 right. What is its accuracy in percent?
  32. 32.🧪 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
  33. 33.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  34. 34.❌ Nisha’s recycling sorter was tested on 17 new waste photos and got 10 right. How many did it get wrong?
  35. 35.🎯 Diya’s bird-song app is 50% accurate. If it is tested on 80 new bird songs, how many should it get right?
  36. 36.📋 Planning an AI project: which comes first — try unseen examples or split train and test? (a) try unseen examples (b) split train and test
  37. 37.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
  38. 38.🎯 Tara’s spam spotter is 50% accurate. If it is tested on 20 new messages, how many should it get right?
  39. 39.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 32 right and Model B got 25 right. How many percentage points more accurate is Model A?
  40. 40.📋 Planning an AI project: which comes first — work out the accuracy or train the model? (a) work out the accuracy (b) train the model

Answer key

  1. to see if it learned
  2. 7
  3. 20
  4. gather many examples
  5. correct ÷ total × 100
  6. 160
  7. paper and examples
  8. 60
  9. test on new photos
  10. 45
  11. 65
  12. 6
  13. 1
  14. 32
  15. 40
  16. 50
  17. 20
  18. 80
  19. correct bad labels
  20. 1
  21. 144
  22. correct bad labels
  23. pick a question to solve
  24. 120
  25. 75
  26. 49
  27. work out the accuracy
  28. 6
  29. 8
  30. split train and test
  31. 60
  32. more labelled examples
  33. work out the accuracy
  34. 7
  35. 40
  36. split train and test
  37. gather many examples
  38. 10
  39. 14
  40. train the model

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