A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction.

Abstract excerpt

Multifactor dimensionality reduction (MDR) was developed as a method for detecting statistical patterns of epistasis. The overall goal of MDR is to change the representation space of the data to make interactions easier to detect. It is well known that machine learning methods may not provide robust models when the class variable (e.g. case-control status) is imbalanced and accuracy is used as the fitness...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Epistasis, Genetic