Sensitivity analysis is a method for extracting the what among the inputs and the outputs of a trained neural network model?
A) underlying constraints
B) cause-and-effect relationships
C) bias
D) detailed quantitative predictive models

Question

Quizplus · Accepted Answer

Sensitivity analysis helps in understanding how changes in the inputs of a neural network affect its outputs, essentially revealing the cause-and-effect relationships between them. It does not directly extract constraints, bias, or develop detailed quantitative predictive models.

Sensitivity Analysis Is a Method for Extracting the What Among