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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.