EvaluationMeasures.FPR {EvaluationMeasures} | R Documentation |
FPR of prediction
EvaluationMeasures.FPR(Real = NULL, Predicted = NULL, Positive = 1,
TP = NULL, TN = NULL, FP = NULL, FN = NULL)
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. |
False Positive Rate is Poportional of negatives that predict as positive.
By getting the predicted and real values or number of TP,TN,FP,FN return the Fall out or False Positive Rate of model
FPR
Babak Khorsand
EvaluationMeasures.FPR(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))