Algorithm Algorithm Algorithm Positive Name Sensitivity Specificity Predictive Value ZeroR 1.00 0.00 0.557 IBk 0.896 0.674 0.776 RandomForest 0.776 0.739 0.789 SMO 0.914 0.696 0.791 SimpleLogistic 0.826 0.761 0.814 NaiveBayes 0.827 0.783 0.827         PolyPhena 0.597 0.920 0.541 SIFTb 0.816 0.821 0.779 MutPredc 0.767 0.823 0.843 ahttp://genetics.bwh.harvard.edu/pph bhttp://sift.jcvi.org chttp://mutdb.org/mutpred

Table 3: Summary of classification performance for machine learning algorithms.