StudyBrixFree worksheets, study guides and courses

Grade 12 · Artificial intelligence

Grade 12 Artificial intelligence practice

20 questions on model evaluation. The answer key is a separate download.

Open and downloadGet the answer keyChange the questions

What is on the worksheet

  1. A binary classifier has TP=12 and FN=55. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  2. A binary classifier has TP=15 and FN=59. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  3. A binary classifier has TP=7 and FP=73. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  4. A binary classifier has TP=7 and FP=3. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  5. A binary classifier has TP=65 and FP=64. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  6. A binary classifier has TP=43 and FN=18. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  7. A binary classifier has TP=63 and FP=53. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  8. A binary classifier has TP=41 and FP=37. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  9. A binary classifier has TP=45 and FP=26. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  10. A binary classifier has TP=66 and FP=33. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  11. A binary classifier has TP=17 and FN=34. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  12. A binary classifier has TP=49 and FP=62. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  13. A binary classifier has TP=50 and FP=62. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  14. A binary classifier has TP=86 and FN=46. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  15. A binary classifier has TP=3 and FN=30. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  16. A binary classifier has TP=1 and FP=5. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  17. A binary classifier has TP=36 and FN=3. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  18. A binary classifier has TP=13 and FP=64. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  19. A binary classifier has TP=11 and FN=44. Calculate positive-class recall as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

  20. A binary classifier has TP=81 and FP=40. Calculate positive-class precision as a fraction between 0 and 1. Round the final result to 4 decimal places if needed.

More worksheets like this