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

BMC Bioinformatics

Table 2 Lung cancer data classifications

Statistical classifications of the lung cancer dataset (control vs. cancer 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 GDFS, CFS and rpart.

ISSN: 1471-2105