R: Classification error

classError {mclust} | R Documentation

## Classification error

### Description

Error for a given classification relative to a known truth. Location of errors in a given classification relative to a known truth.

### Usage

    classError(classification, truth)

### Arguments

`classification` | A numeric or character vector of class labels.
`truth` | A numeric or character vector of class labels. Must have the same length as `classification`.

### Details

If more than one mapping between classification and truth corresponds to the minimum number of classification errors, only one possible set of misclassified observations is returned.

### Value

A list with the following two components:

`misclassified` | The indexes of the misclassified data points in a minimum error mapping between the given classification and the given truth.
`errorRate` | The errorRate corresponding to a minimum error mapping mapping between the given classification and the given truth.

### See Also

`mapClass`, `table`

### Examples

    a <- rep(1:3, 3)
    a
    b <- rep(c("A", "B", "C"), 3)
    b
    classError(a, b)

    a <- sample(1:3, 9, replace = TRUE)
    a
    b <- sample(c("A", "B", "C"), 9, replace = TRUE)
    b
    classError(a, b)

[Package mclust version 5.4.2 Index]