Table 5 Results for the VS-MLP prediction model using hybrid networks.
Population size | Network result | Scoring | Total score | Rank | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
Train | Test | Train | Test | |||||||
MSE | R2 | MSE | R2 | MSE | R2 | MSE | R2 | |||
50 | 89.4236 | 0.8640 | 112.1085 | 0.83543 | 1 | 1 | 1 | 1 | 4 | 10 |
100 | 84.19213 | 0.8805 | 98.9575 | 0.87444 | 2 | 2 | 2 | 2 | 8 | 9 |
150 | 79.98922 | 0.8929 | 93.44794 | 0.88889 | 8 | 8 | 10 | 10 | 36 | 1 |
200 | 83.61371 | 0.8823 | 96.44298 | 0.88117 | 4 | 4 | 4 | 4 | 16 | 7 |
250 | 79.63566 | 0.8939 | 95.80274 | 0.88285 | 10 | 10 | 6 | 6 | 32 | 3 |
300 | 83.39725 | 0.8829 | 95.41871 | 0.88384 | 5 | 5 | 7 | 7 | 24 | 5 |
350 | 82.72082 | 0.8849 | 94.81451 | 0.88541 | 6 | 6 | 9 | 9 | 30 | 4 |
400 | 81.11519 | 0.8896 | 98.36788 | 0.87604 | 7 | 7 | 3 | 3 | 20 | 6 |
450 | 79.68688 | 0.8937 | 95.07941 | 0.88472 | 9 | 9 | 8 | 8 | 34 | 2 |
500 | 83.71071 | 0.8820 | 96.13409 | 0.88198 | 3 | 3 | 5 | 5 | 16 | 7 |
