glmnetGLRpredSummary: Calculate a set of metrics to assess the performance of the...
In PNNL-Comp-Mass-Spec/glmnetGLR: glmnetGLR
Description
Usage
Arguments
Value
Note
Author(s)
Description
This function allows for a quick computation of multiple
metrics to assess the performance of the elastic net
classififer assuming the ground truth is available.
Usage
1
2
Arguments
object
the object produced by predict
...
additional arguments to other methods
(currently ignored)
Value
data.frame with sensitivity, specificity, false
negative rate, false positive rate, and accuracy computed
by class.
Note
The ground truth for the new data set is required to
generate these metrics.
Author(s)
Alex Venzin
PNNL-Comp-Mass-Spec/glmnetGLR documentation built on May 28, 2019, 2:23 p.m.
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Description Usage Arguments Value Note Author(s)
Description
This function allows for a quick computation of multiple metrics to assess the performance of the elastic net classififer assuming the ground truth is available.
Usage
1 2 |
Arguments
object |
the object produced by |
... |
additional arguments to other methods (currently ignored) |
Value
data.frame with sensitivity, specificity, false
negative rate, false positive rate, and accuracy computed
by class.
Note
The ground truth for the new data set is required to generate these metrics.
Author(s)
Alex Venzin
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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