glass

datasets

Implements projection pursuit forest algorithm for supervised classification.

Natalia Silva

PPforest

Projection Pursuit Classification Forest

Natalia da Silva

Dianne Cook

Eun-Kyung Lee

glass function

Contains measurements 214 observations of 6 types of glass; defined in terms of their oxide content.<dl>
<dt>Type</dt>
<dd>has 6 types of glasses.</dd><dt>X1</dt>
<dd>refractive index.</dd>
 
<dt>X2</dt>
<dd>Sodium (unit measurement: weight percent in corresponding oxide).</dd>
 
<dt>X3</dt>
<dd>Magnesium.</dd><dt>X4</dt>
<dd>Aluminum.</dd><dt>X5</dt>
<dd>Silicon.</dd><dt>X6</dt>
<dd>Potassium.</dd><dt>X7</dt>
<dd>Calcium.</dd><dt>X8</dt>
<dd>Barium.</dd><dt>X9</dt>
<dd>Iron.</dd>
</dl>A data frame with 214 rows and 10 variables

Format

Glass data set — glass

Contains measurements 214 observations of 6 types of glass; defined in terms of their oxide content.<dl>
<dt>Type</dt>
<dd>has 6 types of glasses.</dd>

<dt>X1</dt>
<dd>refractive index.</dd>
 
<dt>X2</dt>
<dd>Sodium (unit measurement: weight percent in corresponding oxide).</dd>
 
<dt>X3</dt>
<dd>Magnesium.</dd>

<dt>X4</dt>
<dd>Aluminum.</dd>

<dt>X5</dt>
<dd>Silicon.</dd>

<dt>X6</dt>
<dd>Potassium.</dd>

<dt>X7</dt>
<dd>Calcium.</dd>

<dt>X8</dt>
<dd>Barium.</dd>

<dt>X9</dt>
<dd>Iron.</dd>


</dl>

A data frame with 214 rows and 10 variables

Glass data set

glass: Glass data set

Description

Usage

Arguments

Format