error_rate: Return the ratio of incorrect predictions to total examples...
In SSaishruthi/raif-test:
View source: R/classification_metric.R
Description
Return the ratio of incorrect predictions to total examples in the dataset optionally conditioned on protected attributes
Usage
1
error_rate(class_metric, privileged = NULL)
Arguments
class_metric
metric class instance
privileged
(bool, optional) Boolean prescribing whether to condition this metric on the 'privileged_groups', if 'TRUE', or the 'unprivileged_groups', if 'FALSE'. Defaults to 'NULL' meaning this metric is computed over the entire dataset
SSaishruthi/raif-test documentation built on Oct. 30, 2019, 11:12 p.m.
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View source: R/classification_metric.R
Description
Return the ratio of incorrect predictions to total examples in the dataset optionally conditioned on protected attributes
Usage
1 | error_rate(class_metric, privileged = NULL)
|
Arguments
class_metric |
metric class instance |
privileged |
(bool, optional) Boolean prescribing whether to condition this metric on the 'privileged_groups', if 'TRUE', or the 'unprivileged_groups', if 'FALSE'. Defaults to 'NULL' meaning this metric is computed over the entire dataset |
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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