Table 3.

Successful testing classification rate and standard derivation (rate (%) ± Dev (%)) comparisons of different classifiers: randomly generated training and testing datasets from the mixed protein sequences, where L, S, and G stand for the linear kernel, the sigmoid kernel, and the Gaussian kernel, respectively.

Methods	L	S	G
VOP-ELM	97.30 ± 0.73	98.19 ± 0.70	98.68 ± 0.71
V-ELM	96.91 ± 0.71	97.75 ± 0.64	97.74 ± 0.59
OP-ELM	95.95 ± 0.29	96.42 ± 0.45	97.55 ± 0.55
SVM	97.17 ± 0.49	97.28 ± 0.63	97.33 ± 0.66
BP	94.93 ± 0.95	96.29 ± 0.85	95.54 ± 0.91
ELM	94.94 ± 0.75	96.72 ± 0.85	96.65 ± 0.63