EvaluationMeasures.FMeasure {EvaluationMeasures} | R Documentation |
EvaluationMeasures.FMeasure
Description
FMeasure of prediction
Usage
EvaluationMeasures.FMeasure(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
FMeasure is Harmonic mean of precision and recall.
By getting the predicted and real values or number of TP,TN,FP,FN return the FMeasure or F1Score of model
Value
FMeasure
Author(s)
Babak Khorsand
Examples
EvaluationMeasures.FMeasure(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))
[Package EvaluationMeasures version 1.1.0 Index]