ecoli1

Imbalanced binary dataset containing protein traits for predicting their cellular
localization sites.

datasets

Algorithms to treat imbalanced datasets. Imbalanced datasets usually damage
the performance of the classifiers. Thus, it is important to treat data before
applying a classifier algorithm. This package includes recent preprocessing algorithms
in the literature.

Ignacio Cord<c3><b3>n

imbalance

Preprocessing Algorithms for Imbalanced Datasets

ecoli1 function

A data frame with 336 instances, 77 of which belong to positive class,
and 8 variables:<dl class="dl-horizontal">
 <dt>Mcg</dt><dd>McGeoch's method for signal sequence recognition.
 Continuous attribute.</dd>
 <dt>Gvh</dt><dd>Von Heijne's method for signal sequence recognition.
 Continuous attribute.</dd>
 <dt>Lip</dt><dd>von Heijne's Signal Peptidase II consensus sequence score.
 Discrete attribute.</dd>
 <dt>Chg</dt><dd>Presence of charge on N-terminus of predicted lipoproteins.
 Discrete attribute.</dd>
 <dt>Aac</dt><dd>Score of discriminant analysis of the amino acid content of outer
 membrane and periplasmic proteins. Continuous attribute.</dd>
 <dt>Alm1</dt><dd>Score of the ALOM membrane spanning region prediction program.
 Continuous attribute.</dd>
 <dt>Alm2</dt><dd>score of ALOM program after excluding putative cleavable signal
 regions from the sequence. Continuous attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (type im), negative (the rest).</dd>
</dl>

Format

Imbalanced binary ecoli protein localization sites — ecoli1

A data frame with 336 instances, 77 of which belong to positive class,
and 8 variables:<dl class='dl-horizontal'>
 <dt>Mcg</dt><dd>McGeoch's method for signal sequence recognition.
 Continuous attribute.</dd>
 <dt>Gvh</dt><dd>Von Heijne's method for signal sequence recognition.
 Continuous attribute.</dd>
 <dt>Lip</dt><dd>von Heijne's Signal Peptidase II consensus sequence score.
 Discrete attribute.</dd>
 <dt>Chg</dt><dd>Presence of charge on N-terminus of predicted lipoproteins.
 Discrete attribute.</dd>
 <dt>Aac</dt><dd>Score of discriminant analysis of the amino acid content of outer
 membrane and periplasmic proteins. Continuous attribute.</dd>
 <dt>Alm1</dt><dd>Score of the ALOM membrane spanning region prediction program.
 Continuous attribute.</dd>
 <dt>Alm2</dt><dd>score of ALOM program after excluding putative cleavable signal
 regions from the sequence. Continuous attribute.</dd>
 <dt>Class</dt><dd>Two possible classes: positive (type im), negative (the rest).</dd>
</dl>

ecoli1: Imbalanced binary ecoli protein localization sites

Description

Usage

Arguments

Format

See Also