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

Table 6

The performance comparison of both integrated algorithms on jackknife test.

Algorithm	Type of training set	Number of predicted sequences			AC	MCC
Sequence alignment + SVM-LZ complexity pairwise	Normal	12766	95.28%	87.25%	88.98%	0.736
	<0.7	9731	88.74%	79.17%	80.02%	0.437
Sequence alignment + feature selection [9]	<0.7	9731	80.23 %	94.59 %	93.31 %	0.7312