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, verbosity = 1)
Arguments
true
True labels
predicted
Estimated labels
harmonize
Logical: passed to sensitivity and specificity, which use factor_harmonize.
Default = FALSE
verbosity
Integer: If > 0, print messages to console.
Details
BAcc = .5 * (Sensitivity + Specificity)
egenn/rtemis documentation built on Oct. 28, 2024, 6:30 a.m.
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| bacc | R Documentation |
Balanced Accuracy
Description
Balanced Accuracy of a binary classifier
Usage
bacc(true, predicted, harmonize = FALSE, verbosity = 1)
Arguments
true |
True labels |
predicted |
Estimated labels |
harmonize |
Logical: passed to sensitivity and specificity, which use factor_harmonize. Default = FALSE |
verbosity |
Integer: If > 0, print messages to console. |
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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