data(cars)
logreg <- glm(formula = vs ~ hp + wt,
family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
F1_Score(y_pred = pred, y_true = mtcars$vs, positive = "0")
F1_Score(y_pred = pred, y_true = mtcars$vs, positive = "1")
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