43 search results - page 1 / 9 » Evaluating Misclassifications in Imbalanced Data |
ECML
2006
Springer
13 years 9 months ago
2006
Springer
AUSDM
2008
Springer
13 years 7 months ago
2008
Springer
The area of imbalanced datasets is still relatively new, and it is known that the use of overall accuracy is not an appropriate evaluation measure for imbalanced datasets, because...
TCBB
2011
13 years 13 days ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
PKDD
2005
Springer
13 years 11 months ago
2005
Springer
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
ICIC
2005
Springer
13 years 11 months ago
2005
Springer
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...