Skip to main content

Table 5 Prostate cancer data classifications (prostate cancer vs. BPH)

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

  GDFS CFS rpart
  BPH Cancer BPH Cancer BPH Cancer
True groups BPH 1 12 - - 7 6
  Cancer 13 21 - - 20 14
  1. Statistical classifications of the prostate cancer dataset (prostate cancer vs. BPH cases) from the proposed GDFS method (GDFS), correlation-based feature selection (CFS), and recursive partitioning (rpart). In each case, posterior group probabilities were calculated for each observation j using features selected, and model parameters estimated, with observation j omitted (leave-one-out cross-validation). Observations were then classified using a MAP classification rule. This table shows the cross-tabulations of true group membership with the assigned classifications from the the GDFS, CFS, and rpart methods.