Table 5. Results of the Most Relevant Test and Total Data That Were Utilized to Predict ROP Using Statistical Correctness Criteria.
| split data | models | RMSE | R2 |
|---|---|---|---|
| train data set | Maurer | 17.43 | 0.6678 |
| Galle and Woods | 20.68 | 0.5832 | |
| LSSVM | 6.19 | 0.8662 | |
| LSSVM-GA | 3.55 | 0.9018 | |
| LSSVM-PSO | 1.05 | 0.9845 | |
| test data set | Maurer | 18.29 | 0.6321 |
| Galle and Woods | 22.46 | 0.5509 | |
| LSSVM | 7.21 | 0.8034 | |
| LSSVM-GA | 4.70 | 0.8997 | |
| LSSVM-PSO | 1.92 | 0.9516 | |
| total data set | Maurer | 17.86 | 0.6500 |
| Galle and Woods | 21.57 | 0.5671 | |
| LSSVM | 6.70 | 0.8348 | |
| LSSVM-GA | 4.125 | 0.9008 | |
| LSSVM-PSO | 1.485 | 0.9681 |