Performance.measures: Performance measures
In nguforche/MEml: Mixed Effect Machine Learning
Description
Compute accuracy, AUC, sensitivity, specificity, positive predictive values, etc.
Usage
1
Performance.measures(pred, obs, threshold = NULL, prevalence = NULL)
Arguments
pred
predicted probabilities
obs
true class
threshold
class probability threshold (default to NULL)
prevalence
class prevalence in the population (default to NULL)
nguforche/MEml documentation built on April 20, 2020, 7:26 a.m.
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Description
Compute accuracy, AUC, sensitivity, specificity, positive predictive values, etc.
Usage
1 | Performance.measures(pred, obs, threshold = NULL, prevalence = NULL)
|
Arguments
pred |
predicted probabilities |
obs |
true class |
threshold |
class probability threshold (default to NULL) |
prevalence |
class prevalence in the population (default to NULL) |
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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