True Negatives / (True Negatives + False Positives)
tnr(actual, predicted, cutoff = 0.5)
A vector of the labels
A vector of predicted values
A cutoff for the predicted values
glmModel <- glm(y ~ ., data = testDF, family="binomial")
Preds <- predict(glmModel, type = 'response')
tnr(testDF$y, Preds, cutoff = 0)
specificity(testDF$y, Preds, cutoff = 0)
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