AUC: Area Under the Receiver Operating Characteristic Curve (ROC...

In yanyachen/MLmetrics: Machine Learning Evaluation Metrics

Area Under the Receiver Operating Characteristic Curve (ROC AUC)

Description

Compute the Area Under the Receiver Operating Characteristic Curve (ROC AUC) from prediction scores.

Usage

AUC(y_pred, y_true)

Arguments

y_pred	Predicted probabilities vector, as returned by a classifier
y_true	Ground truth (correct) 0-1 labels vector

Value

Area Under the ROC Curve (ROC AUC)

Examples

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

yanyachen/MLmetrics documentation built on April 16, 2024, 7:48 a.m.