Table 2 Model specifications and feature selection for regression and geographically weighted regression in diverse datasets
Regression Model | Dataset | R2 | Input feature (N) | output features (N) | Feature reduction N (%) |
|---|---|---|---|---|---|
Ridge | Total | 0.708 | 54 | 54 | 0 (0) |
Female | 0.721 | 54 | 54 | 0 (0) | |
Men | 0.157 | 52 | 52 | 0 (0) | |
Explanatory | Total | 0.788 | 54 | 22 | 32 (59) |
Female | 0.799 | 54 | 22 | 32 (59) | |
Men | 0.343 | 52 | 30 | 22 (42) | |
OLS | Total | 0.516 | 22 | 4 | 18 (81) |
Female | 0.515 | 22 | 4 | 18 (81) | |
Men | 0.285 | 30 | 4 | 26 (86) | |
Stepwise | Total | 0.658 | 14 | 4 | 10 (71) |
Female | 0.637 | 14 | 3 | 11 (78) | |
Men | 0.155 | 14 | 4 | 10 (71) | |
GWR | Total | 0.56 | 4 | - | - |
Female | 0.55 | 3 | - | - |