vehicle


  This is the Vehicle dataset from the UCI Machine Learning Repository 


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

vehicle function

A data frame with 846 observations on the following 19 variables.
  <dl>
    <dt>V1</dt><dd>Compactness</dd> <dt>V2</dt><dd>Circularity</dd> <dt>V3</dt><dd>Distance Circularity</dd> <dt>V4</dt><dd>Radius ratio</dd> <dt>V5</dt><dd>pr.axis aspect ratio</dd> <dt>V6</dt><dd>max.length aspect ratio</dd> <dt>V7</dt><dd>scatter ratio</dd> <dt>V8</dt><dd>elongatedness</dd> <dt>V9</dt><dd>pr.axis rectangularity</dd> <dt>V10</dt><dd>max.length rectangularity</dd> <dt>V11</dt><dd>scaled variance along major axis</dd> <dt>V12</dt><dd>scaled variance along minor axis</dd> <dt>V13</dt><dd>scaled radius of gyration</dd> <dt>V14</dt><dd>skewness about major axis</dd> <dt>V15</dt><dd>skewness about minor axis</dd> <dt>V16</dt><dd>kurtosis about minor axis</dd> <dt>V17</dt><dd>kurtosis about major axis</dd> <dt>V18</dt><dd>hollows ratio</dd> <dt>V19</dt><dd>Type of vehicle: a double decker bus, Cheverolet van, Saab 9000 and an Opel Manta
     400.</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> 

vehicle: The Vehicle dataset

Description

Usage

Arguments

Format

Source

Examples