Table 9.
Average ranks of SVR, TSVR, -AHSVR, -SVQR, HN-TSVR and RHN-TSVR on RMSE values using Gaussian kernel with noise 0% for real world dataset
| Datasets | SVR | TSVR | -AHSVR | -SVQR | HN-TSVR | RHN-TSVR |
|---|---|---|---|---|---|---|
| Forestfires | 5.5 | 2.5 | 5.5 | 1 | 2.5 | 4 |
| Machine CPU | 4 | 2 | 6 | 5 | 3 | 1 |
| Auto-original | 6 | 5 | 1 | 2 | 3.5 | 3.5 |
| Winequality | 3 | 4 | 1 | 2 | 6 | 5 |
| SantafeA | 5 | 2 | 6 | 4 | 3 | 1 |
| Gas_furnace | 5 | 3 | 6 | 4 | 2 | 1 |
| Quake | 6 | 4 | 1 | 5 | 2 | 3 |
| Flex_robotarm | 5 | 3.5 | 6 | 2 | 3.5 | 1 |
| S&P500 | 5 | 3 | 6 | 1 | 4 | 2 |
| Space-Ga | 5 | 3.5 | 6 | 1 | 3.5 | 2 |
| Gauss1 | 6 | 2 | 5 | 4 | 1 | 3 |
| Chwirut2 | 5 | 1 | 6 | 4 | 2 | 3 |
| Roszman1 | 5 | 2 | 3 | 4 | 1 | 6 |
| INFY | 6 | 2 | 5 | 4 | 3 | 1 |
| ONGC_NS | 4 | 3 | 6 | 2 | 5 | 1 |
| XOM | 5 | 3 | 6 | 2 | 4 | 1 |
| ATX | 5 | 3 | 6 | 2 | 4 | 1 |
| BSESN | 6 | 3 | 5 | 1 | 4 | 2 |
| DJI | 5 | 3 | 6 | 2 | 4 | 1 |
| GDAXI | 3 | 2 | 6 | 5 | 4 | 1 |
| MXX | 2 | 5 | 3 | 4 | 6 | 1 |
| N225 | 5 | 3 | 6 | 1 | 4 | 2 |
| Wankara | 5 | 2 | 6 | 4 | 3 | 1 |
| Laser | 5 | 1 | 6 | 4 | 2 | 3 |
| Dee | 3 | 5 | 4 | 1 | 6 | 2 |
| Friedman | 5 | 3 | 6 | 4 | 2 | 1 |
| Mortgage | 5 | 1 | 6 | 4 | 2 | 3 |
| NNGC1_dataset_E1_V1_001 | 6 | 3 | 1 | 5 | 4 | 2 |
| NNGC1_dataset_F1_V1_008 | 6 | 3 | 5 | 4 | 1.5 | 1.5 |
| NNGC1_dataset_F1_V1_009 | 6 | 3 | 5 | 4 | 1.5 | 1.5 |
| NNGC1_dataset_F1_V1_010 | 6 | 1 | 5 | 4 | 2.5 | 2.5 |
| NNGC1_dataset_F1_V1_006 | 5 | 3 | 6 | 4 | 1.5 | 1.5 |
| NN5_Complete_109 | 5 | 4 | 6 | 2 | 3 | 1 |
| NN5_Complete_104 | 6 | 3 | 4 | 5 | 2 | 1 |
| NN5_Complete_106 | 6 | 4 | 2 | 5 | 3 | 1 |
| NN5_Complete_103 | 2 | 5 | 6 | 1 | 4 | 3 |
| NN5_Complete_101 | 3 | 5 | 4 | 2 | 6 | 1 |
| NN5_Complete_105 | 2 | 5 | 4 | 3 | 6 | 1 |
| NN5_Complete_111 | 3 | 4 | 2 | 6 | 5 | 1 |
| D1dat_1_2000 | 1 | 5 | 2 | 3 | 6 | 4 |
| Vineyard | 1 | 6 | 3 | 2 | 5 | 4 |
| COVID-19_spain | 5.5 | 1 | 5.5 | 4 | 3 | 2 |
| Average rank | 4.5952381 | 3.1309524 | 4.6666667 | 3.1666667 | 3.4285714 | 2.0119048 |