Table 3.
Performance of the XGBoost models for individual sheets based on fivefold cross-validation.
| Sheet | Mesoregion | Number of landforms | Accuracy | Kappa coefficient |
|---|---|---|---|---|
| Świnoujście | Szczecin Coastland | 19 | 0.961 | 0.957 |
| Toruń | Chełmno–Dobrzyń Lakeland, Toruń–Eberswalde Ice Marginal Valley | 25 | 0.913 | 0.908 |
| Kutno | Central Masovia Lowland, Southern Wielkopolska Lowland | 15 | 0.958 | 0.952 |
| Jelenia Góra | Western Sudety, Mountains | 19 | 0.962 | 0.958 |
| Tomaszów Lubelski | Roztocze Upland, Sandomierz Basin | 15 | 0.880 | 0.866 |
| Katowice | Silesia Upland, Woźniki–Wieluń Upland | 13 | 0.943 | 0.936 |
| Kraków | Krakow–Częstochowa Upland, Kraków Gate | 17 | 0.949 | 0.945 |
| Nowy Targ | Orawa–Podhale Basin, Tatra Range | 16 | 0.940 | 0.934 |
The physico-geographical mesoregions are defined based on Solon et al.56 classification.