NO.PZ2020033003000014
问题如下:
Which method is described for credit analysis and scoring in the following words?
Assesses the similarities between the input pattern (e.g., default or not default) and a set of reference patterns from the training set. The distance chosen to identify the nearest neighbors is crucial for the results (the new entrant).
选项:
A.Fisher Linear discriminant analysis
K-nearest neighbor approach.
C.Parametric discrimination
D.Support vector machines.
解释:
B is correct.
考点:Quantitative methodologies for credit analysis and scoring
解析:题目中描述的就是K-nearest neighbor approach.
A、B的区别是什么呢