Benchmarking relief-based feature selection methods for bioinformatics data mining

Relief-based feature selection (RBAs) efficiently detect feature interactions. RBAs handle genetic heterogeneity, missing/imbalanced data, and quantitative traits. SURF∗ and MultiSURF∗ are not suited to detecting main effects. The new MultiSURF algorithm performs most consistently over different problems. ReBATE software offers easy access to multiple, flexible RBAs.