Research Article
Survival Risk Prediction of Esophageal Squamous Cell Carcinoma Based on BES-LSSVM
Table 5
Comparison of different algorithms for predicting five-year survival of patients with esophageal squamous cell carcinoma.
| ā | Algorithm | 10-fold cross-validation accuracy (%) | Sensitivity (%) | Specificity (%) | Running time (s) |
| High-age group | BES-LSSVM | 86.538 | 88.032 | 86.437 | 1.661 | GOA-LSSVM | 85.769 | 86.971 | 85.101 | 3.464 | DE-LSSVM | 85.384 | 86.626 | 84.668 | 8.123 | PSO-LSSVM | 84.615 | 85.397 | 83.537 | 3.641 | SSA-LSSVM | 86.154 | 87.329 | 85.553 | 2.875 | BES-BPNN | 83.902 | 85.673 | 83.393 | 10.615 | BES-ELM | 83.477 | 84.419 | 82.907 | 6.171 |
| Low-age group | BES-LSSVM | 86.495 | 88.327 | 85.991 | 1.846 | GOA-LSSVM | 85.435 | 87.229 | 84.915 | 4.254 | DE-LSSVM | 85.217 | 86.802 | 84.474 | 9.950 | PSO-LSSVM | 84.782 | 86.595 | 84.245 | 3.846 | SSA-LSSVM | 85.843 | 87.675 | 85.338 | 3.412 | BES-BPNN | 83.479 | 85.271 | 82.959 | 11.743 | BES-ELM | 83.913 | 85.706 | 83.393 | 7.036 |
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