97 search results - page 2 / 20 » An Empirical Evaluation of Supervised Learning for ROC Area |
ROCAI
2004
Springer
13 years 10 months 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 ...
ICML
2002
IEEE
14 years 6 months ago
2002
IEEE
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
AUSAI
2006
Springer
13 years 9 months ago
2006
Springer
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...