EvaluationMeasures.FOR {EvaluationMeasures}

R Documentation

EvaluationMeasures.FOR

Description

FOR of prediction

Usage

EvaluationMeasures.FOR(Real = NULL, Predicted = NULL, Positive = 1,
  TP = NULL, TN = NULL, FP = NULL, FN = NULL)

Arguments

Real	Real binary values of the class
Predicted	Predicted binary values of the class
Positive	Consider 1 label as Positive Class unless changing this parameter to 0
TP	Number of True Positives. Number of 1 in real which is 1 in predicted.
TN	Number of True Negatives. Number of 0 in real which is 0 in predicted.
FP	Number of False Positives. Number of 0 in real which is 1 in predicted.
FN	Number of False Negatives. Number of 1 in real which is 0 in predicted.

Details

False Ommision Rate is What fraction of negative predicted are real positive.

By getting the predicted and real values or number of TP,TN,FP,FN return the False Omission Rate of model

Value

FOR

Author(s)

Babak Khorsand

Examples

EvaluationMeasures.FOR(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))

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