Table 9 Analysis of model prediction accuracies for IGC50 for the reduced TPT dataset
From: Using Pareto points for model identification in predictive toxicology
Method name | R2 | RSE | Q2 | MAE | RMSE |
|---|---|---|---|---|---|
NPN | 0.84 | 0.37 | 0.60 | 0.44 | 0.57 |
PN | 0.84 | 0.37 | 0.75 | 0.33 | 0.46 |
DMS | 0.89 | 0.30 | 0.88 | 0.20 | 0.32 |
3-CPMI | 0.92 | 0.25 | 0.91 | 0.16 | 0.26 |
5-CPMI | 0.90 | 0.28 | 0.89 | 0.18 | 0.29 |
10-CPMI | 0.88 | 0.32 | 0.86 | 0.21 | 0.33 |
3-APMI | 0.91 | 0.27 | 0.90 | 0.18 | 0.29 |
5-APMI | 0.90 | 0.28 | 0.89 | 0.19 | 0.30 |
Oracle | 0.98 | 0.10 | 0.98 | 0.09 | 0.11 |