AIM 2: Define and differentiate among the following quantitative methodologies for credit analysis and scoring: linear discriminant analysis; parametric discrimination, k-nearest neighbor; and support vector machines.
Which of the following includes models in which the assigned score can be interpreted as a probability of default?
A) The k-nearest neighbor approach.
B) Support vector machines.
C) None of the above.
D) Parametric discrimination. |