EBOC: Ensemble-Based Ordinal Classification in Transportation

Table 9

The comparison of algorithms in terms of accuracy, precision, recall, F-measure, and ROC area.

Compared Algorithms	Accuracy (%)	Precision	Recall	F-measure	ROC Area
C4.5	86.02	0.861	0.860	0.866	0.897
Ord.C4.5	84.26	0.843	0.842	0.848	0.884
Ada.Ord.C4.5	87.48	0.874	0.875	0.874	0.933
Bag.Ord.C4.5	86.40	0.859	0.864	0.860	0.947
RandomTree	82.29	0.823	0.823	0.823	0.860
Ord.RandomTree	82.34	0.825	0.823	0.824	0.861
Ada.Ord.RandomTree	86.76	0.866	0.868	0.866	0.928
Bag.Ord.RandomTree	87.23	0.868	0.872	0.869	0.947
REPTree	82.26	0.817	0.823	0.817	0.903
Ord.REPTree	83.50	0.831	0.835	0.829	0.908
Ada.Ord.REPTree	86.83	0.868	0.868	0.867	0.925
Bag.Ord.REPTree	85.67	0.852	0.857	0.852	0.939