prauc: Calculate PR-AUC from cross-validation results
In ck37r: Chris Kennedy's R Toolkit
Description
Usage
Arguments
Value
View source: R/prauc_table.SuperLearner.R
Description
Uses the precrec package to calculate PR-AUC
Usage
1
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 deviation
ck37r documentation built on Feb. 6, 2020, 5:09 p.m.
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Description Usage Arguments Value
View source: R/prauc_table.SuperLearner.R
Description
Uses the precrec package to calculate PR-AUC
Usage
1 | 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 deviation
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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