getAvgAUC: Computing the average AUC
In pjpalla/RFmarkerDetector: Multivariate Analysis of Metabolomics Data using Random Forests
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function computes the average AUC of the ROC curves obtained from a cross-validation procedure
Usage
1
Arguments
predictions
a vector, matrix, list, or data frame containing the predictions.
labels
a vector, matrix, list, or data frame containing the true class labels. It must have
the same dimensions as predictions
Value
the average AUC value
Author(s)
Piergiorgio Palla
Examples
1
2
3
## load a simple dataset with the vectors of the predictions and the labels resulting from a CV
data(simpleData)
avg_auc <- getAvgAUC(simpleData$predictions, simpleData$labels)
pjpalla/RFmarkerDetector documentation built on May 25, 2019, 8:19 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function computes the average AUC of the ROC curves obtained from a cross-validation procedure
Usage
1 |
Arguments
predictions |
a vector, matrix, list, or data frame containing the predictions. |
labels |
a vector, matrix, list, or data frame containing the true class labels. It must have the same dimensions as predictions |
Value
the average AUC value
Author(s)
Piergiorgio Palla
Examples
1 2 3 | ## load a simple dataset with the vectors of the predictions and the labels resulting from a CV
data(simpleData)
avg_auc <- getAvgAUC(simpleData$predictions, simpleData$labels)
|
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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