133 search results - page 1 / 27 » AUC Optimization vs. Error Rate Minimization |
NIPS
2003
13 years 7 months ago
2003
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
IJCAI
2007
13 years 7 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....