MLmetrics (version 1.0.0)

ConfusionMatrix: Confusion Matrix

Description

Compute confusion matrix to evaluate the accuracy of a classification.

Usage

ConfusionMatrix(y_true, y_pred)

Arguments

y_true

Ground truth (correct) labels vector

y_pred

Predicted labels vector, as returned by a classifier

Value

• a table of Confusion Matrix

Examples

data(cars)
logreg <- glm(formula=vs~hp+wt, family=binomial(link = "logit"), mtcars)
pred <- ifelse(logreg$fitted.values<0.5, 0, 1)
ConfusionMatrix(y_true=mtcars$vs, y_pred=pred)