Random Forests-Based Operational Status Perception Model in Extra-Long Highway Tunnels with Longitudinal Ventilation: A Case Study in China

<div>Influence of the combined parameters (<i>n</i><sub>tree</sub> and<i> m</i><sub>try</sub>) on OOB error.</div>

Journal of Advanced Transportation

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Figure 5

Figure 5: Random Forests-Based Operational Status Perception Model in Extra-Long Highway Tunnels with Longitudinal Ventilation: A Case Study in China 

Figure 5 | Random Forests-Based Operational Status Perception Model in Extra-Long Highway Tunnels with Longitudinal Ventilation: A Case Study in China 