Prediction of Antimicrobial Peptides Based on Sequence Alignment and Support Vector Machine-Pairwise Algorithm Utilizing LZ-Complexity

Table 7

The performance comparison of previously proposed methods with the proposed algorithm on independent test using Wang test set.

Method/algorithm	Number of predicted sequences	Number of correctly; predicted sequences
CAMP-SVM [9]	1136	866	76.23%
CAMP-random forest [9]	1136	852	75.00%
CAMP-discriminant analysis [9]	1136	881	77.55%
Sequence alignment + feature selection [9]	1136	965	84.95%
Complexity based distance measure	1136	880	77.46%
Sequence alignment + SVM-pairwise	1136	995	87.59%