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ID 22847
file
creator
Djatna, Taufik
subject
feature selection
key performance indicators
NDC
Electrical engineering
abstract
There are needs for evaluating rank order-based similarity between different classifiers in feature selection. Feature selection maps from data set to give further understanding about the importance of ranking in decision making within feature selection algorithms. The results are ordered rankings of training and testing data. In order to compare stability within each classifier, we deploy normalized rank transformation approach to get the degree of similarity between training and testing data set. The accuracy of the selected features is then evaluated using various classifiers.
journal title
電気・情報関連学会中国支部連合大会講演論文集
volume
Volume 58
start page
327
end page
328
date of issued
2007-10
publisher
電気・情報関連学会中国支部
ncid
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
Copyright (c) 2007 by Authors
department
Graduate School of Engineering