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RFSBoost-LDA


This is example of Multilinear boosted classifier model. RFSBoost - LDA (Random Feature Subsets Boosting with Linear Discriminant Analysis) is a combination of “weak” classifiers (Fisher Linear Discriminant). RFSBoost - LDA achieves very good results for a compound problem, e.g. blood-brain barrier problem, where one mechanism does not exist, but everything depends on the particular structure.