NPV {D2MCS} | R Documentation |
Computes the Negative Predictive Value.
Description
Negative Predictive Values are the proportions of negative results in statistics and diagnostic tests that are true negative results.
Details
NPV = TN / (TN + FN)
Super class
D2MCS::MeasureFunction
-> NPV
Methods
Public methods
Method new()
Method for initializing the object arguments during runtime.
Usage
NPV$new(performance.output = NULL)
Arguments
performance.output
An optional
ConfMatrix
parameter to define the type of object used as basis to compute theNPV
measure.
Method compute()
The function computes the NPV achieved by the M.L. model.
Usage
NPV$compute(performance.output = NULL)
Arguments
performance.output
An optional
ConfMatrix
parameter to define the type of object used as basis to compute the NPV measure.
Details
This function is automatically invoke by the ClassificationOutput object.
Returns
A numeric vector of size 1 or NULL if an error occurred.
Method clone()
The objects of this class are cloneable with this method.
Usage
NPV$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
MeasureFunction
, ClassificationOutput
,
ConfMatrix