In this article Sequential Minimal Optimization (SMO) approach as the solution of Support Vector Machines (SVMs) algorithm
is applied to the ovarian cancer data classification problem. The comparison of different SVM models is presented in order
to determine the chance of 60 months survival for a woman to be treated ovarian cancer. A cross-validation procedure is used
for this purpose.