Last data update: 2014.03.03

 R: Balanced Error Rate
BERR Documentation

Balanced Error Rate

Description

The balanced error rate is the average of the errors on each class: BER = 0.5*(FP/(TN+FP) + FN/(FN+TP)).

Usage

BER(Ytrue, Yhat)

Arguments

Ytrue

: binary numeric vector (made of 0 or 1) of real classes

Yhat

: binary numeric vector (made of 0 or 1) of predicted classes

Value

Balanced Error Rate 0 ≤ BER ≤ 1

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO