R: Calculates accuracy of classifier output, given confusion matrix.

accuracy {StabPerf}

R Documentation

Calculates accuracy of classifier output, given confusion matrix.

Description

Calculates percentage of true predictions in a confusion matrix.

Usage

accuracy(cmat)

Arguments

cmat confusion matrix with true membership in rows classifications in cols.

Details

Divides number of true predictions by the total number of predictions.

Value

score Numeric. Percentage of true predictions.

Rci

Examples

model <- load.model("data/model.RData")
data <- loadData("data/dataset.RData")
prediction <- predict(model, data[,1:2])
cmat <- confusion.matrix(data$y[1:2], prediction) # create confusion matrix
accuracy(cmat)

[Package StabPerf version 0.5 Index]