Comparative Evaluation of Filter and Wrapper Based Approach for Micro Array Cancer Classification

Akinrotimi Akinyemi Omololu, Mabayoje Modinat Abolore

The microarray classification technique is capable of tracking the expression levels of thousands of genes simultaneously. The high dimensional feature vectors of microarray, impose a high dimensional cost, as well as the risk of over fitting during classification. Thus, it is necessary to reduce the dimension, through the use of an efficient method such as; feature selection. In this paper, a different technique, based on classification of micro array cancer dataset, including the two basic approaches of feature selection: the filter and wrapper techniques have been employed.