DocumentCode
2866325
Title
Instability of classifiers on categorical data
Author
Siebes, Arno ; Subianto, Muhammad ; Feelders, Ad
Author_Institution
Dept. of Comput. Sci., Universiteit Utrecht, Netherlands
fYear
2005
fDate
27-30 Nov. 2005
Abstract
In this paper we study the local behaviour of arbitrary classifiers using the instability of that classifier in a data point. Moreover, we introduce two algorithms. The first to find highly unstable points, the second to find islands of stability.
Keywords
data mining; pattern classification; categorical data; classifier instability; data mining; Books; Classification tree analysis; Computer science; Data mining; Information geometry; Performance evaluation; Stability; Support vector machine classification; Support vector machines; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, Fifth IEEE International Conference on
ISSN
1550-4786
Print_ISBN
0-7695-2278-5
Type
conf
DOI
10.1109/ICDM.2005.81
Filename
1565778
Link To Document