further, classification is performed based on clustering. experiments were conducted with weka 3.60. tools. data set of 909 records with 13 attributes. all attributes are made categorical and inconsistencies are resolved for simplicity. to enhance the prediction of classifiers, genetic search is incorporated. observations exhibit that the decision tree data mining technique outperforms other two data mining techniques after incorporating feature subset selection but with high model construction time. Bayes performs consistently before and after reduction of attributes with the same model construction time.