perf.calc: Performance Statistics Calculations
In OmicsMarkeR: Classification and Feature Selection for 'Omics' Datasets
Description
Usage
Arguments
Value
See Also
Description
Calculates confusion matrix and ROC statistics comparing
the results of the fitted models to the observed groups.
Usage
1
Arguments
data
dataframe of predicted (pred) and observed (obs) groups
lev
Group levels
model
String indicating which model was initially run
Value
Returns confusion matrix and ROC performance statistics including
Accuracy, Kappa, ROC.AUC, Sensitivity, Specificity, Positive Predictive
Value, and Negative Predictive Value
See Also
caret function confusionMatrix
OmicsMarkeR documentation built on April 28, 2020, 6:54 p.m.
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Description Usage Arguments Value See Also
Description
Calculates confusion matrix and ROC statistics comparing the results of the fitted models to the observed groups.
Usage
1 |
Arguments
data |
dataframe of predicted (pred) and observed (obs) groups |
lev |
Group levels |
model |
String indicating which model was initially run |
Value
Returns confusion matrix and ROC performance statistics including Accuracy, Kappa, ROC.AUC, Sensitivity, Specificity, Positive Predictive Value, and Negative Predictive Value
See Also
caret function confusionMatrix
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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