EvaluationMeasures.DOR {EvaluationMeasures} | R Documentation |
DOR of prediction
EvaluationMeasures.DOR(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. |
Diaognastic odds Ratio is the ratio of Positive Likelihood Ratio by Negative Likelihood Ratio
By getting the predicted and real values or number of TP,TN,FP,FN return the Diaognastic odds Ratio of model
DOR
Babak Khorsand
EvaluationMeasures.DOR(c(1,0,1,0,1,0,1,0),c(1,1,1,1,1,1,0,0))