Sarojini, B2017-03-302017-03-302014https://ir.avinuty.ac.in/handle/avu/2381A novel method to enhance the perfomiance of classifiers Adaptive Neuro Fuzzy Inference System (ANFIS), Support Vector Machine (SVM) through feature selection is proposed. The feature selection methods Genetic Algorithm (GA) and Rough Set (RS) are used to select the features. This research work focus on selecting the prominent features to improve the accuracy of the classification algorithms. The experiments are performed on the Breast cancer WBCD and Liver cancer BUPA liver Disorder. The performance of the classification algorithms is estimated in terms of increase in accuracy after feature selection.