TN | R Documentation |
This is the number of individuals with a negative condition for which the test result is negative. The value entered here must be non-negative.
D2MCS::MeasureFunction
-> TN
new()
Method for initializing the object arguments during runtime.
TN$new(performance.output = NULL)
performance.output
An optional ConfMatrix
parameter
to define the type of object used to compute the TN measure.
compute()
The function computes the TN achieved by the M.L. model.
TN$compute(performance.output = NULL)
performance.output
An optional ConfMatrix
parameter
to define the type of object used as basis to compute the TN
measure.
This function is automatically invoke by the
ClassificationOutput
object.
A numeric vector of size 1 or NULL if an error occurred.
clone()
The objects of this class are cloneable with this method.
TN$clone(deep = FALSE)
deep
Whether to make a deep clone.
MeasureFunction
, ClassificationOutput
,
ConfMatrix
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.