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Título:
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A study of feature selection algorithms for accuracy estimation
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Autor/a:
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Butt, Kashif Javed
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Otros autores:
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Belanche Muñoz, Luis Antonio |
Abstract:
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The main purpose of Feature Subset Selection is to find a reduced subset of attributes
from a data set described by a feature set. The task of a feature selection algorithm
(FSA) is to provide with a computational solution motivated by a certain defi nition of
relevance or by a reliable evaluation measure.
Feature weighting is a technique used to approximate the optimal degree of influence
of individual features using a training set. When successfully applied relevant features
are attributed a high weight value, whereas irrelevant features are given a weight value
close to zero. Feature weighting can be used not only to improve classi cation accuracy
but also to discard features with weights below a certain threshold value and thereby
increase the resource efi ciency of the classifier.
In this work several fundamental feature weighting algorithms (FWAs) are studied to
assess their performance in a controlled experimental scenario. A measure to evaluate
FWAs score is devised that computes the degree of matching between the output given
by a FWAs and the known optimal solutions. A study of relation between the score
obtained from the di fferent classi fiers, variance of the score in the di fferent sample size
is carried out as well as the relation between the score and the estimated probability
of error of the model (Pe) for the classification problems and the square error (e2) for
the regression problem. |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic -Àrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat -Computer algorithms -Machine learning -Algorismes genètics -Aprenentatge automàtic |
Derechos:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Trabajo fin de máster |
Editor:
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Universitat Politècnica de Catalunya
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