
The Australian credit Aproval dataset form the Statlog Project


datasets

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

Edgar Acuna

dprep

Data Pre-Processing and Visualization Functions for
Classification

crx function

A data frame with 690 observations on the following 16 variables.
  <dl>
    <dt><code>V1</code></dt><dd>a factor with levels <code>a</code> <code>b</code></dd> <dt><code>V2</code></dt><dd>a numeric vector</dd> <dt><code>V3</code></dt><dd>a numeric vector</dd> <dt><code>V4</code></dt><dd>a factor with levels <code>l</code> <code>u</code> <code>y</code></dd> <dt><code>V5</code></dt><dd>a factor with levels <code>g</code> <code>gg</code> <code>p</code></dd> <dt><code>V6</code></dt><dd>a factor with levels <code>aa</code> <code>c</code> <code>cc</code> <code>d</code> <code>e</code> <code>ff</code> <code>i</code> <code>j</code> <code>k</code> <code>m</code> <code>q</code> <code>r</code> <code>w</code> <code>x</code></dd> <dt><code>V7</code></dt><dd>a factor with levels <code>bb</code> <code>dd</code> <code>ff</code> <code>h</code> <code>j</code> <code>n</code> <code>o</code> <code>v</code> <code>z</code></dd> <dt><code>V8</code></dt><dd>a numeric vector</dd> <dt><code>V9</code></dt><dd>a factor with levels <code>f</code> <code>t</code></dd> <dt><code>V10</code></dt><dd>a factor with levels <code>f</code> <code>t</code></dd> <dt><code>V11</code></dt><dd>a numeric vector</dd> <dt><code>V12</code></dt><dd>a factor with levels <code>f</code> <code>t</code></dd> <dt><code>V13</code></dt><dd>a factor with levels <code>g</code> <code>p</code> <code>s</code></dd> <dt><code>V14</code></dt><dd>a numeric vector</dd> <dt><code>V15</code></dt><dd>a numeric vector</dd> <dt><code>V16</code></dt><dd>a numeric vector</dd> </dl> 

Format

The UCI Machine Learning Database Repository at:
<ul>
<li> <a href="/link/ftp%3A%2F%2Fftp.ics.uci.edu%2Fpub%2Fmachine-learning-databases?package=dprep&version=3.0.2" data-mini-rdoc="dprep::ftp://ftp.ics.uci.edu/pub/machine-learning-databases">ftp://ftp.ics.uci.edu/pub/machine-learning-databases</a>
      </li>
<li> <a href="http://www.ics.uci.edu/~mlearn/MLRepository.html">http://www.ics.uci.edu/~mlearn/MLRepository.html</a>
    </li>
</ul> 

crx: crx

Description

Usage

Arguments

Format

Source

Details

Examples