NoProbability {D2MCS} | R Documentation |
Compute performance across resamples.
Description
Computes the performance across resamples when class probabilities cannot be computed.
Super class
D2MCS::SummaryFunction
-> NoProbability
Methods
Public methods
Inherited methods
Method new()
The function defined during runtime the usage of five measures: 'Kappa', 'Accuracy', 'TCR_9', 'MCC' and 'PPV'.
Usage
NoProbability$new()
Method execute()
The function computes the performance across resamples using the previously defined measures.
Usage
NoProbability$execute(data, lev = NULL, model = NULL)
Arguments
data
A data.frame containing the data used to compute the performance.
lev
An optional value used to define the levels of the target class.
model
An optional value used to define the M.L. model used.
Returns
A vector of performance estimates.
Method clone()
The objects of this class are cloneable with this method.
Usage
NoProbability$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
[Package D2MCS version 1.0.1 Index]