Research Article
Detecting Susceptibility to Breast Cancer with SNP-SNP Interaction Using BPSOHS and Emotional Neural Networks
Table 2
The performance of ENN compared with basic neural networks.
| Method | Sn | Sp | Acc | RR | OR |
| BP | 0.5486 | 0.4864 | 0.5175 | 1.0681 | 1.1505 | RBF | 0.5394 | 0.5152 | 0.5273 | 1.1126 | 1.2445 | PNN | 0.5448 | 0.5066 | 0.5257 | 1.1508 | 1.2808 | BPSOHS_BP | 0.6462 | 0.5606 | 0.6034 | 1.4706 | 2.3302 | BPSOHS_RBF | 0.6290 | 0.5826 | 0.6058 | 1.5069 | 2.3664 | BPSOHS_PNN | 0.6406 | 0.5888 | 0.6147 | 1.5579 | 2.5523 | BPSOHS_ENN | 0.7268 | 0.7106 | 0.7187 | 2.5114 | 6.5322 |
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