ITE303cXuất hiện trong 1 đề thi
In a real-world scenario, what is a challenging aspect of addressing fairness concerns in machine learning models?
Các lựa chọn
AFairness concerns are easily resolved during the model development phase.
BBalancing fairness with other performance metrics such as accuracy and precision.
CAssuming that fairness is an isolated concern independent of accuracy.
DFairness analysis is unnecessary if the model is accurate and performs well.