BER: Balanced Error Rate
In gbonte/D2C: Predicting Causal Direction from Dependency Features
BER R 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 \le BER \le 1
gbonte/D2C documentation built on Sept. 8, 2023, 11:22 p.m.
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| BER | R 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 \le BER \le 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.
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