c_matrices: confusion matrices
In phiDelta: Tool for Phi Delta Analysis of Features
Description
Usage
Arguments
Value
Author(s)
Examples
Description
calculates the confusion matrices from the c_statistics
Usage
1
Arguments
stats
c_statistics
Value
a matrix. Each column represents a feature.
Each row describes in this order: true negative, FALSE negative, true positive, FALSE negative
Author(s)
rothe
Examples
1
2
x <- c_statistics(climate_data)
cmat <- c_matrices(x)
phiDelta documentation built on May 2, 2019, 2:46 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
calculates the confusion matrices from the c_statistics
Usage
1 |
Arguments
stats |
c_statistics |
Value
a matrix. Each column represents a feature. Each row describes in this order: true negative, FALSE negative, true positive, FALSE negative
Author(s)
rothe
Examples
1 2 | x <- c_statistics(climate_data)
cmat <- c_matrices(x)
|
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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