Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on how to apply a bias variance decomposition. This paper examines the various parameters and variants of empirical bias variance decompositions through an extensive simulation study. Based on this study, we recommend to use ten ...

Introduction: Previous studies have reported contradicting results about the effect of medication therapy on attribution bias and jumping to conclusion (JTC) bias in schizophrenic patients. This study aims at analyzing the effect of medication on attribution bias and JTC bias in schizophrenic patients. Methods: This study is an ex post facto and casual-comparative research. 28 people includi...

A new regression-based method of assessing test bias is proposed. We highlight two different potential causes of differences in groups' regression line intercepts. Intercepts differing due to mean criterion score differences are not interpreted as predictive test bias. Using both simulated and employee data, we illustrate this new approach. Test bias is a systematic error in how a test measures...

Data from college admissions tests can provide a valuable measure of student achievement, but the non-representativeness of test-takers is an important concern. We examine selectivity bias in both state-level and school-level SAT and ACT averages. The degree of selectivity may differ importantly across and within schools, and across and within states. To identify within-state selectivity, we us...