Bayesian top scoring pairs for feature selection

Abstract

We propose a novel feature selection approach based on the Bayesian Top Scoring Pairs (BTSP) method. We compare its performance against well-known feature selection methods, under SVM, k-NN and NB classification rules, by means of an extensive numerical experiment using real gene-expression data sets. Results demonstrate the promise of the BTSP feature selection approach in the analysis of high-dimensional biological data.