Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

Classification is an essential task for predicting the class values of new instances. Both k-fold and leave-one-out cross validation are very popular for evaluating the performance of classification algorithms. Many data mining literatures introduce the operations for these two kinds of cross valida...

Full description

Bibliographic Details

Published in:	Pattern recognition Vol. 48; no. 9; pp. 2839 - 2846
Main Author:	Wong, Tzu-Tsung
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2015
Subjects:	Classification Independence k-Fold cross validation Leave-one-out cross validation Sampling distribution k-Fold cross validation Classification Independence Leave-one-out cross validation Sampling distribution
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!