Table 5 Machine learning allele frequency MSE’s ( 10 3 )
From: Machine learning approach for pooled DNA sample calibration
Method | Training set | Individuals (0.6) | Combined (0.7) | Pools (2.2) | |
|---|---|---|---|---|---|
| Â | Â | E 2 | \(\boldsymbol {\overline {{E_{N}^{2}}}}\) | Â | Â |
| Â | individuals | 4.56 | 3.12 | 7.58 | 10.58 |
LR | combined | 6.10 | 2.72 | 6.66 | 7.44 |
| Â | pools | 32.93 | 1.15 | 19.03 | 5.28 |
| Â | individuals | 2.58 | 2.01 | 8.90 | 15.10 |
MLP | combined | 4.96 | 2.42 | 6.34 | 8.00 |
| Â | pools | 16.35 | 2.17 | 10.92 | 5.91 |
| Â | individuals | 4.22 | 2.68 | 6.78 | 9.29 |
SVM | combined | 6.64 | 2.55 | 6.55 | 6.54 |
| Â | pools | 10.05 | 2.37 | 8.40 | 7.05 |