90 search results - page 1 / 18 » AUC: A Better Measure than Accuracy in Comparing Learning Al... |
AI
2003
Springer
14 years 21 days ago
2003
Springer
IJCAI
2003
13 years 8 months ago
2003
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
NIPS
2003
13 years 8 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...
BMCBI
2010
13 years 7 months ago
2010
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
ROCAI
2004
Springer
14 years 25 days ago
2004
Springer
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...