Usage
binary_confusion_table(x, observed = NULL, threshold = 0.5)
Arguments
- x
A binary expected prediction or numeric probabilities.
- observed
Optional observed binary outcomes.
- threshold
Classification threshold from 0 to 1.
Value
A four-row confusion table plus rates as attributes.
Examples
binary_confusion_table(c(0.1, 0.8, 0.7, 0.2), c(0, 1, 1, 0))
#> observed predicted count threshold
#> 1 0 0 2 0.5
#> 2 0 1 0 0.5
#> 3 1 0 0 0.5
#> 4 1 1 2 0.5
