evCMetrics: Function for CM metrics calculation
In evgilenko/evStudy: The package for event study analysis.
Description
Usage
Arguments
Details
Examples
Description
This function calculates a number of specified metrics (precision, recall, and f1-score) for a given confusion matrix. R^2 count is also calculated.
Usage
1
2
evCMetrics(CM, cat.names = vector(mode = "character", length = 0),
s.expname = "")
Arguments
CM
a confusion matrix.
cat.names
a vector of category names (optional).
s.expname
character string giving the name of experiment (optional).
Details
Important! The confusion matrix should have no missing rows or columns and should be square!
Examples
1
evCMetrics(myCM)
evgilenko/evStudy documentation built on May 12, 2019, 5:45 a.m.
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Description Usage Arguments Details Examples
Description
This function calculates a number of specified metrics (precision, recall, and f1-score) for a given confusion matrix. R^2 count is also calculated.
Usage
1 2 | evCMetrics(CM, cat.names = vector(mode = "character", length = 0),
s.expname = "")
|
Arguments
CM |
a confusion matrix. |
cat.names |
a vector of category names (optional). |
s.expname |
character string giving the name of experiment (optional). |
Details
Important! The confusion matrix should have no missing rows or columns and should be square!
Examples
1 | evCMetrics(myCM)
|
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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