Artifacts of Markov blanket filtering based on discretized features in small sample size applications

Markov blanket filtering based on discretized features (MBF) has been proposed as a feature selection strategy. Critical evaluation of MBF has demonstrated its contradictory and counterintuitive nature, which results in undesirable properties for small sample size applications such as classification based on microarray gene expression data.