EvaluationMeasures.FDR {EvaluationMeasures} | R Documentation |
FDR of prediction
EvaluationMeasures.FDR(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 Discovery Rate is What fraction of positive predicted are real negative.
By getting the predicted and real values or number of TP,TN,FP,FN return the False Discovery Rate of model
FDR
Babak Khorsand
EvaluationMeasures.FDR(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))