mlbench.xor

The inputs of the XOR problem are uniformly distributed on
 the <code>d</code>-dimensional cube with corners \(\{\pm 1\}\). Each pair of
 opposite corners form one class, hence the total number of classes is
 \(2^(d-1)\)

datagen

A collection of artificial and real-world machine learning
benchmark problems, including, e.g., several
data sets from the UCI repository.

Kurt Hornik

mlbench

Machine Learning Benchmark Problems

Friedrich Leisch

Evgenia Dimitriadou

mlbench.xor function

<dl><dt>n</dt>
<dd>number of patterns to create</dd><dt>d</dt>
<dd>dimension of the XOR problem</dd></dl>

Arguments

Continuous XOR Benchmark Problem — mlbench.xor

<dl>

<dt>n</dt>
<dd>number of patterns to create</dd>

<dt>d</dt>
<dd>dimension of the XOR problem</dd>

</dl>

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mlbench.xor: Continuous XOR Benchmark Problem

Description

Usage

Value

Arguments

Examples