FBeta_Score: F-Beta Score

In MLmetrics: Machine Learning Evaluation Metrics

Description

Compute the F-Beta Score

Usage

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

Arguments

y_true	Ground truth (correct) 0-1 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"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
FBeta_Score(y_pred = pred, y_true = mtcars$vs, positive = "0", beta = 2)
FBeta_Score(y_pred = pred, y_true = mtcars$vs, positive = "1", beta = 2)

Example output

Attaching package: 'MLmetrics'

The following object is masked from 'package:base':

    Recall

[1] 0.8522727
[1] 0.9027778

MLmetrics documentation built on May 2, 2019, 11:28 a.m.