confusion.matrix.false.discovery.rate.simple: Confusion Matrix Measures - False Discovery Rate
In burrm/lolcat: Miscellaneous Useful Functions
View source: R/confusion.matrix.false.discovery.rate.simple.R
confusion.matrix.false.discovery.rate R Documentation
Confusion Matrix Measures - False Discovery Rate
Description
Calculate False Discovery Rate, defined as FP / (FP + TP), for a given confusion matrix.
Usage
confusion.matrix.false.discovery.rate(confusion.matrix)
confusion.matrix.false.discovery.rate.simple(
false.positive = 0,
true.positive = 1
)
Arguments
confusion.matrix
Matrix - confusion matrix.
false.positive
Scalar - Cases identified as false positive
true.positive
Scalar - Cases identified as true positive
Value
A scalar with computed value.
burrm/lolcat documentation built on July 22, 2022, 6:21 a.m.
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View source: R/confusion.matrix.false.discovery.rate.simple.R
| confusion.matrix.false.discovery.rate | R Documentation |
Confusion Matrix Measures - False Discovery Rate
Description
Calculate False Discovery Rate, defined as FP / (FP + TP), for a given confusion matrix.
Usage
confusion.matrix.false.discovery.rate(confusion.matrix) confusion.matrix.false.discovery.rate.simple( false.positive = 0, true.positive = 1 )
Arguments
confusion.matrix |
Matrix - confusion matrix. |
false.positive |
Scalar - Cases identified as false positive |
true.positive |
Scalar - Cases identified as true positive |
Value
A scalar with computed value.
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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