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AAI
2006
110views more  AAI 2006»
13 years 11 months ago
Evaluation of Classifiers for an Uneven Class Distribution Problem
Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
KDD
2009
ACM
142views Data Mining» more  KDD 2009»
14 years 11 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 2 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 11 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
HICSS
2007
IEEE
117views Biometrics» more  HICSS 2007»
14 years 5 months ago
A Cluster-based Approach to Filtering Spam under Skewed Class Distributions
The purpose of this research is to propose an appropriate classification approach to improving the effectiveness of spam filtering on the issue of skewed class distributions. A cl...
Wen-Feng Hsiao, Te-Ming Chang, Guo-Hsin Hu