Table 2 Significant features, as per sensitivity analysis, influencing the fire risk on a bridge
From: Classifying bridges for the risk of fire hazard via competitive machine learning
Exp. | Feature | Feature impact (%) |
|---|---|---|
RF | Fuel | 100 |
Span | 80.5 | |
Age | 70 | |
Geo. Significance | 28.9 | |
No. of lanes | 22.8 | |
Structural system | 21 | |
Fire position | 19.4 | |
Material type | 15.5 | |
SVM | Fuel | 100 |
Span | 65.5 | |
Geo. Significance | 54.3 | |
Structural system | 47 | |
Fire position | 36.6 | |
No. of lanes | 22.7 | |
Material type | 18.2 | |
Age | 16.2 | |
GAM | Age | 100 |
Fuel | 78 | |
Span | 76 | |
Fire position | 4.8 | |
Structural system | 3.2 | |
No. of lanes | – | |
Material type | – | |
Geo. Significance | −1.3 |