ConfusionMatrix: Confusion Matrix

In MLmetrics: Machine Learning Evaluation Metrics

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)

MLmetrics documentation built on May 29, 2024, 9:34 a.m.