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A variety of machine learning ensembles compared to assess performance for ME/CFS WST (0, 1, 2) class prediction, as measured by percentage accuracy and the Kappa statistic. Boosting strategies applied to enhance machine learning performance for ensemble random forest (RF), gradient boosting (gbm), c5.0 tree construction and support vector machines (SVM).
