Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China

Table 6

Results of parameter tuning with variations in gamma.

Number	Parameters	Mean_validation_score	Cv_validation_scores
0	{′gamma′: 0}	0.904118009	[ 0.90434248 0.90389344]
1	{′gamma′: 0.1}	0.904118009	[ 0.90434248 0.90389344]
2	{′gamma′: 0.2}	0.903810695	[ 0.90393281 0.90368852]
3	{′gamma′: 0.3}	0.903605818	[ 0.90372798 0.90348361]
4	{′gamma′: 0.4}	0.90350338	[ 0.90352315 0.90348361]
5	{′gamma′: 0.5}	0.90350338	[ 0.90352315 0.90348361]