madelon

This is a two-class classification problem. 
The difficulty is that the problem is multivariate and highly non-linear. 
Of the 500 features, 20 are real features, 480 are noise features. 
Data set from UCI repository, discretized using median cutoffs.

datasets

An MCMC algorithm for simultaneous feature selection and classification,
and visualization of the selected features and feature interactions.
An implementation of SBFC by Krakovna, Du and Liu (2015), <arXiv:1506.02371>.

Viktoriya Krakovna

sbfc

Selective Bayesian Forest Classifier

madelon function

<dl class="dl-horizontal">
<dt><code>TrainX</code></dt><dd>A matrix with 2000 rows and 500 columns.</dd>
<dt><code>TrainY</code></dt><dd>A vector with 2000 rows.</dd>
<dt><code>TestX</code></dt><dd>A matrix with 600 rows and 500 columns.</dd>
<dt><code>TestY</code></dt><dd>A vector with 600 rows.</dd>
</dl>

Format

Madelon data set: synthetic data from NIPS 2003 feature selection challenge — madelon

<dl class='dl-horizontal'>
<dt><code>TrainX</code></dt><dd>A matrix with 2000 rows and 500 columns.</dd>
<dt><code>TrainY</code></dt><dd>A vector with 2000 rows.</dd>
<dt><code>TestX</code></dt><dd>A matrix with 600 rows and 500 columns.</dd>
<dt><code>TestY</code></dt><dd>A vector with 600 rows.</dd>
</dl>

madelon: Madelon data set: synthetic data from NIPS 2003 feature selection challenge

Description

Usage

Arguments

Format

References