recall: Recall, Sensitivity, tpr

In ModelMetrics: Rapid Calculation of Model Metrics

Description

True Positives / (True Positives + False Negatives)

Usage

recall(actual, predicted, cutoff = 0.5)

Arguments

actual	A vector of the labels
predicted	A vector of predicted values
cutoff	A cutoff for the predicted values

Examples

data(testDF)
glmModel <- glm(y ~ ., data = testDF, family="binomial")
Preds <- predict(glmModel, type = 'response')

recall(testDF$y, Preds, cutoff = 0)
sensitivity(testDF$y, Preds, cutoff = 0)
tpr(testDF$y, Preds, cutoff = 0)

ModelMetrics documentation built on March 26, 2020, 7:48 p.m.