mtr_balanced_accuracy: Balanced Accuracy
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Balanced Accuracy
Usage
1
mtr_balanced_accuracy(actual, predicted, cutoff = 0.5)
Arguments
actual
[numeric] Ground truth binary numeric vector containing
1 for the positive class and 0 for the negative class.
predicted
[numeric] A vector of estimated probabilities.
cutoff
[numeric] A cutoff value for predicted vector
which classify a sample into a given class. Default value is 0.5
Value
A numeric scalar output
Author(s)
An Chu
See Also
chuvanan/metrics documentation built on Nov. 4, 2019, 8:52 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Balanced Accuracy
Usage
1 | mtr_balanced_accuracy(actual, predicted, cutoff = 0.5)
|
Arguments
actual |
|
predicted |
|
cutoff |
|
Value
A numeric scalar output
Author(s)
An Chu
See Also
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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