| PPV {D2MCS} | R Documentation |
Computes the Positive Predictive Value.
Description
Positive Predictive Values are the proportions of positive results in statistics and diagnostic tests that are true positive results.
Details
PPV = TP / (TP + FP)
Super class
D2MCS::MeasureFunction -> PPV
Methods
Public methods
Method new()
Method for initializing the object arguments during runtime.
Usage
PPV$new(performance.output = NULL)
Arguments
performance.outputAn optional
ConfMatrixparameter to define the type of object used as basis to compute the PPV measure.
Method compute()
The function computes the PPV achieved by the M.L. model.
Usage
PPV$compute(performance.output = NULL)
Arguments
performance.outputAn optional
ConfMatrixparameter to define the type of object used as basis to compute the PPV 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
PPV$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
MeasureFunction, ClassificationOutput,
ConfMatrix