Classification Consistency and Accuracy with Conjunctive Decision Rule

• In Event: Classification

Abstract

This study considers the estimation of classification consistency and accuracy when handling a conjunctive decision. We propose four approaches using θ-cut scores: Integration with MVN, Integration with UVN, Monte-Carlo sampling with MVN, and Monte-Carlo sampling with UVN. To illustrate these methods, this study employs data from a large-scale certification organization.

Author

• Seohee Park, American Board of Internal Medicine