Proposition of a classification system “β − LS − SVM” and its application to medical data sets

We apply two techniques of classification, Least Squares Support Vector Machines (LS-SVM) and Sequential Minimum Optimization SVM (SMO-SVM) to some diseases: cancer, hepatitis, heart, thyroid, and diabetes, described in Benchmark data sets. To compare between these techniques, some kernel functions are used which are polynomial, linear, sigmoidal, Gaussian and beta. Therefore the classifier β - LS - SMV is selected according to its best results.