`Normal_CI()` computes the Confidence Interval (CI) of a performance measure
(for instance, accuracy) using normal approximation. Thus, it is advisable
that the test has a size of, at least, 30 instances.
Usage
Normal_CI(value, ntest, confidence = 95)
Arguments
- value
Performance value (a single value).
- ntest
Test set size (a single value).
- confidence
Confidence level; for instance, 95% or 99%. (Defaults: 95).
Value
A vector containing the CI.
Examples
# Computing accuracy
y <- c(rep("a",30),rep("b",20))
y_pred <- c(rep("a",20),rep("b",30))
ct <- table(y,y_pred)
accuracy <- Acc(ct)
# Computing 95%CI
Normal_CI(accuracy, ntest=length(y), confidence=95)
#> [1] 0.6891277 0.9108723
