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

Table 8

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

Method/algorithm	Number of predicted sequences	Number of correctly; predicted sequences
CAMP-SVM [20]	2420	2030	83.88%
CAMP-random forest [20]	2420	1978	81.74%
CAMP-artificial neural network [20]	2420	1648	68.10%
CAMP-discriminant analysis [20]	2420	1967	81.28%
Sequence alignment + SVM-pairwise	2420	2184	90.25%