Table 2.
Table of parameter of BP, accuracy rate of prediction and number of genes filtered from GA-BP.
| Circle 1 | Circle 2 | Circle 3 | Circle 4 | Circle 5 | Circle 5 | |
|---|---|---|---|---|---|---|
| Training(normal/tumor) | 39(17/22) | 39(16/23) | 39(16/23) | 39(16/23) | 39(16/23) | 39(16/23) |
| Testing(normal/tumor) | 39(22/17) | 39(23/16) | 39(23/16) | 39(23/16) | 39(23/16) | 39(16/23) |
| Testing results of BP | ||||||
| Normal (TN) | 86.36% | 86.96% | 89.96% | 82.61% | 86.96% | 91.30% |
| Tumor (TP) | 88.24% | 93.75% | 87.5% | 93.75% | 100% | 100% |
| Time cost for modeling | 2.23s | 2.07s | 2.30s | 2.23s | 1.65s | 1.37s |
| Testing results of GA-BP | Population = 30 Generation = 100 |
Population = 30 Generation = 100 |
Population = 20 Generation = 100 |
Population = 10 Generation = 100 |
Population = 8 Generation = 100 |
|
| Normal (TN) | 81.82% | 78.26% | 82.61% | 91.30% | 86.96% | |
| Tumor (TP) | 94.12% | 81.25% | 93.75% | 81.25% | 100% | |
| Time cost for modeling | 0.27s | 0.28s | 0.25s | 0.33s | 0.19s | |
| Candidate genes | 57 | 33 | 15 | 8 | 4 | |
BP, Back Propagation. GA, Genetic Algorithm. TN, normal pancreatic tissues. TP, pancreatic carcinoma tissues.