bacc: Balanced Accuracy
In egenn/rtemis: Machine Learning and Visualization
bacc R Documentation
Balanced Accuracy
Description
Balanced Accuracy of a binary classifier
Usage
bacc(true, predicted, harmonize = FALSE, verbose = TRUE)
Arguments
true
True labels
predicted
Estimated labels
harmonize
Logical: passed to sensitivity and specificity, which use factor_harmonize.
Default = FALSE
verbose
Logical: If TRUE, print messages to output
Details
BAcc = .5 * (Sensitivity + Specificity)
egenn/rtemis documentation built on April 24, 2024, 6:58 p.m.
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| bacc | R Documentation |
Balanced Accuracy
Description
Balanced Accuracy of a binary classifier
Usage
bacc(true, predicted, harmonize = FALSE, verbose = TRUE)
Arguments
true |
True labels |
predicted |
Estimated labels |
harmonize |
Logical: passed to sensitivity and specificity, which use factor_harmonize. Default = FALSE |
verbose |
Logical: If TRUE, print messages to output |
Details
BAcc = .5 * (Sensitivity + Specificity)
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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