kerntools (version 1.2.0)

Acc_rnd: Accuracy of a random model

Description

`Acc_rnd()` computes the expected accuracy of a random classifier based on the class frequencies of the target. This measure can be used as a benchmark when contrasted to the accuracy (in test) of a given prediction model.

Usage

Acc_rnd(target, freq = FALSE)

Value

Expected accuracy of a random classification model (a single value).

Arguments

target

A character vector or a factor. Alternatively, a numeric vector (see below).

freq

TRUE if `target` contains the frequencies of the classes (in this case, `target` should be numeric), FALSE otherwise. (Defaults: FALSE).

Examples

# Expected accuracy of a random model:
target <- c(rep("a",5),rep("b",2))
Acc_rnd(target)
# This is the same than:
freqs <- c(5/7,2/7)
Acc_rnd(freqs,freq=TRUE)