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Table 3 Diagnostic performance of classifiers modelled by SVM, DDA, LDA, BDA and RF for CADD

From: Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease

  1. The values shown are the areas under the curve of Receiver Operating Characteristic (ROC) curve analyses
  2. CADD coronary artery disease diagnosis, SVM support vector machine, DDA diagonal discriminant analysis, LDA linear discriminant analysis, BDA binary discriminant analysis, RF random forests
  3. *P < 0.05 for CADD WT + RF + BDA vs. CADD t-score and CADD ≥ 3
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BMC Bioinformatics

ISSN: 1471-2105

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