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Table 9 Prostate cancer data classification performance (Gleason 5 vs. Gleason 7)

From: Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution

  Cross-validation error Kappa Sensitivity AUC
GDFS 0.294 0.412 0.765 0.785
CFS 0.441 0.118 0.471 0.585
rpart 0.412 0.176 0.529 0.512
  1. Evaluation of classification performance from feature selection in the prostate cancer dataset (Gleason 5 vs. Gleason 7 cases) for the proposed GDFS method (GDFS), correlation-based feature selection (CFS), and recursive partitioning (rpart). Reported are the cross-validation error (misclassification rate), Cohen’s kappa statistic, sensitivity, and AUC (corresponding to ROC curves in Figure 10) for the statistical classifications from each method.