MLmetrics (version 1.0.0)

Precision: Precision

Description

Compute the precision score.

Usage

Precision(y_true, y_pred, positive = NULL)

Arguments

y_true

Ground truth (correct) labels vector

y_pred

Predicted labels vector, as returned by a classifier

positive

An optional character string for the factor level that corresponds to a "positive" result

Value

• Precision

Examples

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