Normal_CI: Confidence Interval using Normal Approximation

In kerntools: Kernel Functions and Tools for Machine Learning Applications

Confidence Interval using Normal Approximation

Description

'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)

kerntools documentation built on April 3, 2025, 7:52 p.m.