A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains

Autor:	Peter Tischer, Rocío Alaiz-Rodríguez, Nathalie Japkowicz
Rok vydání:	2008
Předmět:	business.industry Computer science Multiple domain Pattern recognition Artificial intelligence Machine learning computer.software_genre business computer Classifier (UML) Visualization
Zdroj:	Machine Learning and Knowledge Discovery in Databases ISBN: 9783540874805 ECML/PKDD (2)
DOI:	10.1007/978-3-540-87481-2_43
Popis:	Classifier performance evaluation typically gives rise to a multitude of results that are difficult to interpret. On the one hand, a variety of different performance metrics can be applied, each adding a little bit more information about the classifiers than the others; and on the other hand, evaluation must be conducted on multiple domains to get a clear view of the classifier's general behaviour.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ddc568429cf7a9bb92b5f8684f36e248 https://doi.org/10.1007/978-3-540-87481-2_43 Zobrazit plný text záznamu