mtr_optimal_cutoff: Classification Optimal Cutoff
In chuvanan/metrics: Metrics For Evaluating Machine Learning Models
Description
Usage
Arguments
Value
Author(s)
View source: R/optimal-cutoff.r
Description
Optimal cutoff
Usage
1
2
mtr_optimal_cutoff(actual, predicted, objective = c("positive_class",
"negative_class", "both", "missclassified_error"))
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.
objective
[character]
Value
A scalar numeric output
Author(s)
An Chu
chuvanan/metrics documentation built on Nov. 4, 2019, 8:52 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/optimal-cutoff.r
Description
Optimal cutoff
Usage
1 2 | mtr_optimal_cutoff(actual, predicted, objective = c("positive_class",
"negative_class", "both", "missclassified_error"))
|
Arguments
actual |
|
predicted |
|
objective |
|
Value
A scalar numeric output
Author(s)
An Chu
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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