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phiDelta (version 1.0.1)

n_matrices: normalized confusion matrices

Description

normalizes the confusion matrices

Usage

n_matrices(c_matrices)

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

Examples

Run this code
# NOT RUN {
x <- c_statistics(climate_data)
cmat <- c_matrices(x)
nmat <- n_matrices(cmat)
# }

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