A function returning sensitivity and precision.
Usage
confusion_stats(scores, response, predicted = NULL, k = NULL)
Arguments
- scores
Probability that response is true or 1.
- response
Responses coded as logical or 0-or-1.
- predicted
Predicted value coded as 0-or-1.
- k
Percentage to classify as TRUE or 1.
Value
A named numeric vector containing sensitivity (the fraction of
positive responses detected) and precision (the fraction of predictions
classified as positive that have a positive response).
Examples
scores <- c(0.1, 0.4, 0.35, 0.8)
response <- c(0, 0, 1, 1)
confusion_stats(scores, response)
#> sensitivity precision
#> 0.5 1.0