Model performance metrics
| Neural network regression | Support vector machine regression | Decision tree regression | |
|---|---|---|---|
| Evaluation metrics | Value | ||
| MSE | 0.121 | 0.14 | 0.111 |
| MSE (scaled) | 0.101 | 0.146 | 0.124 |
| RMSE | 0.348 | 0.374 | 0.333 |
| MAE/MAD | 0.221 | 0.279 | 0.219 |
| MAPE | 71.61% | 88.49% | 60.34% |
| R² | 0.901 | 0.859 | 0.879 |
| Neural network regression | Support vector machine regression | Decision tree regression | |
|---|---|---|---|
| Evaluation metrics | Value | ||
| 0.121 | 0.14 | 0.111 | |
| 0.101 | 0.146 | 0.124 | |
| 0.348 | 0.374 | 0.333 | |
| MAE/MAD | 0.221 | 0.279 | 0.219 |
| 71.61% | 88.49% | 60.34% | |
| 0.901 | 0.859 | 0.879 | |
MSEA – root mean square error of approximation; SRMR – standardized root mean square residual; ESG – environmental, social, and governance; MAPE – mean absolute percentage error; MAD – mean absolute deviation
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