n_matrices: normalized confusion matrices
In phiDelta: Tool for Phi Delta Analysis of Features
Description
Usage
Arguments
Value
Author(s)
Examples
Description
normalizes the confusion matrices
Usage
1
Arguments
c_matrices
confusion matrices
Value
a matrix. Each column represents a feature.
Each row describes in this order: true negative rate, FALSE negative rate,
true positive rate, FALSE negative rate
Author(s)
rothe
Examples
1
2
3
x <- c_statistics(climate_data)
cmat <- c_matrices(x)
nmat <- n_matrices(cmat)
phiDelta documentation built on May 2, 2019, 2:46 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
normalizes the confusion matrices
Usage
1 |
Arguments
c_matrices |
confusion matrices |
Value
a matrix. Each column represents a feature. Each row describes in this order: true negative rate, FALSE negative rate, true positive rate, FALSE negative rate
Author(s)
rothe
Examples
1 2 3 | x <- c_statistics(climate_data)
cmat <- c_matrices(x)
nmat <- n_matrices(cmat)
|
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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