bayesclass {mlbench} | R Documentation

## Bayes classifier

### Description

Returns the decision of the (optimal) Bayes classifier for a given data set. This is a generic function, i.e., there are different methods for the various mlbench problems.

If the classes of the problem do not overlap, then the Bayes decision is identical to the true classification, which is implemented as the dummy function `bayesclass.noerr` (which simply returns `z$classes` and is used for all problems with disjunct classes).

### Usage

    bayesclass(z)

### Arguments

`z` | An object of class `"mlbench"`.

### Examples

    # 6 overlapping classes
    p <- mlbench.2dnormals(500,6)
    plot(p)

    plot(p$x, col=as.numeric(bayesclass(p)))

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