FBeta_Score: F-Beta Score

In LqNoob/Machine-Learning-Evaluation-Metrics: 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)

LqNoob/Machine-Learning-Evaluation-Metrics documentation built on May 20, 2019, 3:33 p.m.