confusionMatrix: Confusion Matrix
In JackStat/ModelMetrics: Rapid Calculation of Model Metrics

Create a confusion matrix given a specific cutoff.

1	confusionMatrix(actual, predicted, cutoff = 0.5, use_names = FALSE)

`actual`	A vector of the labels
`predicted`	A vector of predicted values
`cutoff`	A cutoff for the predicted values
`use_names`	If `TRUE`, the dimnames of the output matrix will be labelled to indicate which axes show the actual and predicted classes.

actual <- c(0, 0, 1)
predicted <- c(1, 0, 1)

confusionMatrix(actual, predicted)

confusionMatrix(actual, predicted, use_names = TRUE)

JackStat/ModelMetrics documentation built on July 6, 2021, 9:48 a.m.

JackStat/ModelMetrics index

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