Table 2 Performance of DNN models
Data | Evaluation Metric | Cutoffsa | ||||||
|---|---|---|---|---|---|---|---|---|
Min | 1st quartile | Mean | Median | 3rd quartile | 10kCpGs | 1kCpGs | ||
1 | RMSE | 88.5 (26.3) | 88.8 (25.6) | 89.3 (25.7) | 89.0 (27.3) | 88.8 (26.1) | 89.2 (25.9) | 89.8 (26.4) |
Cor | 0.19 (0.05) | 0.27 (0.08) | 0.19 (0.09) | 0.14 (0.11) | 0.11 (0.10) | 0.24 (0.02) | 0.14 (0.11) | |
2 | RMSE | 48.5 (14.4) | 48.4 (14.7) | 47.4 (13.7) | 48.5 (14.3) | 47.5 (13.8) | 48.6 (12.9) | 48.8 (13.0) |
Cor | 0.23 (0.13) | 0.10 (0.29) | 0.29 (0.07) | 0.14 (0.19) | 0.29 (0.07) | 0.20 (0.11) | 0.10 (0.14) | |
3 | RMSE | 48.5 (4.7) | 48.7 (4.8) | 48.5 (4.5) | 48.1 (3.5) | 48.6 (4.6) | 48.2 (5.0) | 48.5 (5.3) |
Cor | 0.17 (0.07) | 0.18 (0.08) | 0.22 (0.13) | 0.20 (0.12) | 0.19 (0.08) | 0.17 (0.06) | 0.16 (0.04) | |