Measures to evaluate rankings of classification algorithms

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2000

Autores

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

Ata de Conferência Internacional

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

Páginas: 119-124

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

NAMUR, BELGIUM, JUL 11-14, 2000

Indexação

ISI Web of Knowledge - 3 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Matemática

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6