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