View source: R/Classification.R
| Accuracy | R Documentation | 
Compute the accuracy classification score.
Accuracy(y_pred, y_true)
| y_pred | Predicted labels vector, as returned by a classifier | 
| y_true | Ground truth (correct) 0-1 labels vector | 
Accuracy
data(cars)
logreg <- glm(formula = vs ~ hp + wt,
              family = binomial(link = "logit"), data = mtcars)
pred <- ifelse(logreg$fitted.values < 0.5, 0, 1)
Accuracy(y_pred = pred, y_true = mtcars$vs)
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