ConfusionMatrix {MLmetrics} | R Documentation |
Confusion Matrix
Description
Compute confusion matrix to evaluate the accuracy of a classification.
Usage
ConfusionMatrix(y_pred, y_true)
Arguments
y_pred |
Predicted labels vector, as returned by a classifier |
y_true |
Ground truth (correct) 0-1 labels vector |
Value
a table of Confusion Matrix
Examples
data(cars)
logreg <- glm(formula = vs ~ hp + wt,
family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
ConfusionMatrix(y_pred = pred, y_true = mtcars$vs)
[Package MLmetrics version 1.1.3 Index]