prauc: Calculate PR-AUC from cross-validation results
In ck37/ckTools: Chris Kennedy's R Toolkit
prauc R Documentation
Calculate PR-AUC from cross-validation results
Description
Uses the precrec package to calculate PR-AUC
Usage
prauc(preds, actual, test_folds)
Arguments
preds
Predicted values or score
actual
Known label value
test_folds
Length n vector assigning each vector to a given test fold
Value
Dataframe of results, including PR-AUC and standard error.
References
Boyd, K., Eng, K. H., & Page, C. D. (2013). Area under the precision-recall
curve: point estimates and confidence intervals. In Joint European conference
on machine learning and knowledge discovery in databases (pp. 451-466).
Springer, Berlin, Heidelberg.
ck37/ckTools documentation built on April 29, 2023, 11:47 p.m.
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| prauc | R Documentation |
Calculate PR-AUC from cross-validation results
Description
Uses the precrec package to calculate PR-AUC
Usage
prauc(preds, actual, test_folds)
Arguments
preds |
Predicted values or score |
actual |
Known label value |
test_folds |
Length n vector assigning each vector to a given test fold |
Value
Dataframe of results, including PR-AUC and standard error.
References
Boyd, K., Eng, K. H., & Page, C. D. (2013). Area under the precision-recall curve: point estimates and confidence intervals. In Joint European conference on machine learning and knowledge discovery in databases (pp. 451-466). Springer, Berlin, Heidelberg.
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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