96 search results - page 1 / 20 » A New Evaluation Measure for Imbalanced Datasets |
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...
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...
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...
ISDA
2009
IEEE
13 years 11 months ago
2009
IEEE
—Ordinal regression (OR – also known as ordinal classification) has received increasing attention in recent times, due to its importance in IR applications such as learning to...