The Fisher classification scores can be converted to
A) a linear function for each of the groups in the classification problem
B) probabilities of group membership
C) a uniform distribution
D) a half-space

Question

Quizplus · Accepted Answer

The Fisher classification scores represent the distance of each observation to the group centroids. These scores can be transformed into a probability of group membership by applying the softmax function, which converts the scores into a probability distribution over the groups. Therefore, option B is the best choice as it accurately represents the Fisher classification scores.

The Fisher Classification Scores Can Be Converted to