Effect of classifiers in consensus feature ranking for biomedical datasets

Abstract

Many informative aspects of medical datasets may be extracted from comparative study of features discriminative power. Recently, consensus feature rankings have been proposed to achieve robust, unbiased and reliable rankings of attributes. We have studied the effect of classifier inclusion in a consensus feature ranking method for a medical dataset with missing values and class imbalanced data. Ability of consensus feature rankings to demonstrate superior performance with unseen classifiers is also studied in this paper.

DOI: 10.1145/1871871.1871886
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@inproceedings{Fakhraei2010EffectOC, title={Effect of classifiers in consensus feature ranking for biomedical datasets}, author={Shobeir Fakhraei and Hamid Soltanian-Zadeh and Farshad Fotouhi and Kost Elisevich}, booktitle={DTMBIO '10}, year={2010} }