Table 4.
Training time 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 | |||
|---|---|---|---|---|---|---|
| Training time (s) | Speedup |
Training time (s) | Speedup |
Training time (s) | Speedup |
|
| VOP-ELM | 5.2799 | 266.44 | 83.55 | 11.38 | 92.00 | 12.43 |
| V-ELM | 0.6326 | 2223.83 | 0.6917 | 1374.51 | 0.9282 | 1232.17 |
| OP-ELM | 1.8627 | 755.24 | 30.93 | 30.74 | 32.59 | 35.09 |
| SVM | 278.35 | 5.05 | 284.30 | 3.34 | 272.41 | 4.2 |
| BP | 1406.8 | 1 | 950.75 | 1 | 1143.70 | 1 |
| ELM | 0.0746 | 18858 | 0.0861 | 11042 | 0.0983 | 11635 |