Classification accuracy, sensitivity, and specificity.
<p>KPLS-Poly(2) followed by LDA achieves the best performance (accuracy = 80.5%, sensitivity = 81.0%, and specificity = 80.0%).</p
Cell Biology, Neuroscience, Biotechnology, Hematology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, depression scores, kernel variants, low-dimensional representation, brain regions, resting-state, MRI data, brain activity, loading vectors, motor area, default mode network, Subsequent classification, cause over-fitting, brain imaging data, PLS, squares regression, resonance imaging, data high-dimensionality, problem
DOI identifier: 10.1371/journal.pone.0179638.g005
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