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Nested cross-validation performance of several cardiovascular-related disease datasets. Predictive performance was optimized using four classifiers (linear SVM, KNN, logistic regression, and Bayesian), seven feature selection methods (fold change, T-test, SAM, rank sum, rank products, mRMRD, and mRMRQ), and feature sizes ranging from 1 to 20. Predictive performance greatly depends on dataset.
