18 search results - page 1 / 4 » Comparison of Evaluation Metrics in Classification Applicati... |
ICMLA
2008
13 years 6 months ago
2008
A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). Fo...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
WWW
2007
ACM
14 years 5 months ago
2007
ACM
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
HIS
2008
13 years 6 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
BMCBI
2008
13 years 4 months ago
2008
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...