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We present a boosting method for classification problems with optimal AUC value as a performance measure. The proposed technique first minimizes the ...
We present a boosting method for classification problems with optimal AUC value as a performance measure. The proposed technique first minimizes the ...
Jun 10, 2010 · We have developed a new statistical method that focuses on the pAUC based on a boosting technique. The markers are combined componentially for maximizing the ...
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It is shown that any weak ranker that can achieve an area under the ROC curve slightly better than 1/2 can be efficiently boosted to achieve an Area under ...
Oct 22, 2024 · We compare the performance of the proposed boosting method with those of other existing methods, and demonstrate the utility using real data ...
AUC optimization promotes ranks of positive training samples and decreases ranks of negative training samples, and is therefore essentially a ranking problem.
To better understand the value of optimizing for AUC, we present an efficient algorithm, namely AUC-opt, to find the provably optimal AUC linear classifier in ...
A method to increase the efficiency of computing AUC based on a polynomial approximation of the AUC is developed and plugged into the construction of a ...
Oct 28, 2009 · AUCBoost offers a flexible combination of multiple feature variables, which is optimal in the sense of the maximization of the AUC. The ...
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A direct approach for obtaining a fair predictive model is to train the model through optimizing its prediction performance subject to fairness con ...