Table 2 Model evaluation on the training, validation, and testing sets, showing the median and 1\(\sigma\) uncertainty for \(r^2\), root-mean-square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE)
Data set | \(r^2\) [%] | RMSE | MAE | MAPE |
|---|---|---|---|---|
Training | 94.0\(^{\pm 1.0}\) | 0.107\(^{\pm 0.009}\) | 0.089\(^{\pm 0.009}\) | 7.3\(^{\pm 0.6}\) |
Validation | 92.9\(^{\pm 1.1}\) | 0.128\(^{\pm 0.008}\) | 0.105\(^{\pm 0.009}\) | 8.3\(^{\pm 0.7}\) |
Testing | 92.0\(^{\pm 1.0}\) | 0.134\(^{\pm 0.009}\) | 0.105\(^{\pm 0.009}\) | 8.3\(^{\pm 0.7}\) |