Comparison of the prediction performance of the Gaussian naïve Bayes (GNB)-based wrapper, logistic regression (LogR)-based wrapper, decision tree (DT)-based wrapper, k-nearest neighbor (KNN)-based wrapper, and two support vector machine (SVM)-based wrappers with the RBF and polynomial kernels (denoted as SVM-RBF and SVM-Poly respectively).

Note: The CV tests were based on ten runs and the averages and the standard deviations are shown. The highest values are shown in bold.