BER: Balanced Error Rate
In D2C: Predicting Causal Direction from Dependency Features
Description
Usage
Arguments
Value
Description
The balanced error rate is the average of the errors on each class: BER = 0.5*(FP/(TN+FP) + FN/(FN+TP)).
Usage
1
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
D2C documentation built on May 29, 2017, 10:44 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
The balanced error rate is the average of the errors on each class: BER = 0.5*(FP/(TN+FP) + FN/(FN+TP)).
Usage
1 | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.