abalone

The number of rings is the value to predict.

datasets

"Learning with Subset Stacking" is a supervised learning algorithm that is based on training many local estimators on subsets of a given dataset, and then passing their predictions to a global estimator. You can find the details about LESS in our manuscript at <arXiv:2112.06251>.

Burhan Ozer Cavdar

less

Learning with Subset Stacking

Ilker Birbil

abalone function

A dataframe with 4177 rows and 8 variables<dl>
<dt>Length</dt>
<dd>Longest shell measurement in mm</dd><dt>Diameter</dt>
<dd>perpendicular to length in mm</dd><dt>Height</dt>
<dd>with meat in shell in mm</dd><dt>Whole weight</dt>
<dd>whole abalone in grams</dd><dt>Shucked weight</dt>
<dd>weight of meat in grams</dd><dt>Viscera weight</dt>
<dd>gut weight (after bleeding) in grams</dd><dt>Shell weight</dt>
<dd>after being dried in grams</dd><dt>Rings</dt>
<dd>+1.5 gives the age in years</dd>
</dl>

Format

Abalone Data Set — abalone

A dataframe with 4177 rows and 8 variables<dl>
<dt>Length</dt>
<dd>Longest shell measurement in mm</dd>

<dt>Diameter</dt>
<dd>perpendicular to length in mm</dd>

<dt>Height</dt>
<dd>with meat in shell in mm</dd>

<dt>Whole weight</dt>
<dd>whole abalone in grams</dd>

<dt>Shucked weight</dt>
<dd>weight of meat in grams</dd>

<dt>Viscera weight</dt>
<dd>gut weight (after bleeding) in grams</dd>

<dt>Shell weight</dt>
<dd>after being dried in grams</dd>

<dt>Rings</dt>
<dd>+1.5 gives the age in years</dd>


</dl>

abalone: Abalone Data Set

Description

Usage

Arguments

Format

Examples