I am doing disease classification (i.e. a person is classified as normal or abnormal) using naive Bayes and SMO classifiers. I have around 30 attributes. Out of these I need to select the most relevant attributes. I am trying to choose the best attributes using Information Gain.
Is this a better method? Please help me out. Thanks in advance.