MLmetrics (version 1.0.0)

FBeta_Score: F-Beta Score

Description

Compute the F-Beta Score

Usage

FBeta_Score(y_true, y_pred, positive = NULL, beta = 1)

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

beta

Weight of precision in harmonic mean

Value

• F-Beta Score

Examples

data(cars)
logreg <- glm(formula=vs~hp+wt, family=binomial(link = "logit"), mtcars)
pred <- ifelse(logreg$fitted.values<0.5, 0, 1)
FBeta_Score(y_true=mtcars$vs, y_pred=pred, positive="0", beta=2)
FBeta_Score(y_true=mtcars$vs, y_pred=pred, positive="1", beta=2)