Publications
2008
1.
Alaiz-Rodríguez, Rocío; Japkowicz, Nathalie; Tischer, Peter
A visualization-based exploratory technique for classifier comparison with respect to multiple metrics and multiple domains Artículo de revista
En: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 660–665, 2008, (Publisher: Springer Berlin Heidelberg Berlin, Heidelberg).
Resumen | Enlaces | BibTeX | Etiquetas: classifier evaluation, machine learning, model testing, performance metrics
@article{alaiz-rodriguez_visualization-based_2008,
title = {A visualization-based exploratory technique for classifier comparison with respect to multiple metrics and multiple domains},
author = {Rocío Alaiz-Rodríguez and Nathalie Japkowicz and Peter Tischer},
url = {https://link.springer.com/chapter/10.1007/978-3-540-87481-2_43},
year = {2008},
date = {2008-01-01},
journal = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
pages = {660–665},
abstract = {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.},
note = {Publisher: Springer Berlin Heidelberg Berlin, Heidelberg},
keywords = {classifier evaluation, machine learning, model testing, performance metrics},
pubstate = {published},
tppubtype = {article}
}
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.