Research Article
Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM
Table 7
Comparison of the results of different algorithms.
| Algorithm | 10-fold cross-validation accuracy (%) | Sensitivity (%) | Specificity (%) | Running time (s) |
| BES-LSSVM | 97.01 | 98.19 | 95.09 | 2.793 | GOA-LSSVM | 96.28 | 97.75 | 93.90 | 7.263 | DE-LSSVM | 96.10 | 97.64 | 93.62 | 6.824 | PSO-LSSVM | 96.27 | 97.75 | 93.89 | 5.772 | SSA-LSSVM | 96.65 | 97.97 | 94.54 | 3.818 | BES-BP | 95.26 | 97.11 | 92.34 | 12.749 | BES-ELM | 95.61 | 97.33 | 92.88 | 7.837 |
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