Measures to evaluate rankings of classification algorithms

• Type: Article in International Conference Proceedings Book
• Date: 2000

Authors

Soares, C (Author) FEP; Brazdil, P (Author) FEP; Costa, J (Author) FCUP

Conference proceedings International

Title: STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

Pages: 119-124

7th Conference of the International-Federation-of-Classification-Societies

NAMUR, BELGIUM, JUL 11-14, 2000

Indexing

ISI Web of Knowledge - 3 Citations

Scientific classification

FOS: Natural sciences > Mathematics

Other information

Authenticus ID: P-001-1C1

Abstract (EN): Due to the wide variety of algorithms for supervised classification originating from several research areas, selecting one of them to apply on a given problem is not a trivial task. Recently several methods have been developed to create rankings of classification algorithms based on their previous performance. Therefore, it is necessary to develop techniques to evaluate and compare those methods. We present three measures to evaluate rankings of classification algorithms, give examples of their use and discuss their characteristics.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6