auc: Calculate AUC for a set of binary outcomes and a numeric...
In Sage-Bionetworks/challengescoring: Reducing Overfitting in Challenges With the BootLadderBoot Approach
View source: R/scoringFunctions.R
Description
Calculate AUC for a set of binary outcomes and a numeric vector of prediction values.
Usage
1
auc(gold, pred)
Arguments
gold
A binary vector of outcome values.
pred
A numeric vector of prediction values.
Sage-Bionetworks/challengescoring documentation built on Sept. 28, 2020, 8:27 a.m.
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View source: R/scoringFunctions.R
Description
Calculate AUC for a set of binary outcomes and a numeric vector of prediction values.
Usage
1 | auc(gold, pred)
|
Arguments
gold |
A binary vector of outcome values. |
pred |
A numeric vector of prediction values. |
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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