Table 3 Result of the random forest model for PM2.5 using hyperparameters of the optimum value.
Point (PM2.5) | Train R2 | Test R2 | Train MSE | Test MSE |
---|---|---|---|---|
Daitou | 0.53 | 0.33 | 33.2 | 51.3 |
Isahaya | 0.49 | 0.29 | 29.6 | 43.1 |
Shimabara | 0.49 | 0.31 | 29.4 | 40.1 |
Oomura | 0.50 | 0.28 | 24.5 | 32.7 |
Kawadana | 0.50 | 0.27 | 23.6 | 33.0 |
Togitsue | 0.49 | 0.22 | 23.5 | 35.9 |
Yukiura | 0.47 | 0.18 | 24.0 | 35.1 |
Matsuura Shisamachi | 0.47 | 0.25 | 28.8 | 37.1 |
Tsushima | 0.43 | 0.16 | 35.2 | 61.5 |
Iki | 0.43 | 0.18 | 37.6 | 61.2 |
Goto | 0.41 | 0.16 | 32.7 | 51.1 |
Obama | 0.47 | 0.27 | 22.7 | 29.4 |
Kogakura | 0.47 | 0.24 | 29.7 | 39.2 |
Inasa | 0.46 | 0.21 | 30.3 | 43.4 |
Muramatsu | 0.48 | 0.23 | 24.6 | 36.1 |
Higashi Nagasaki | 0.48 | 0.24 | 25.5 | 36.3 |
Fukuishi (Jihai) | 0.47 | 0.23 | 36.0 | 53.1 |
Yoshii | 0.46 | 0.23 | 26.7 | 32.1 |