EBOC: Ensemble-Based Ordinal Classification in Transportation

Table 5

The comparison of REPTree based ordinal and ensemble learning methods in terms of classification accuracy.

Dataset	REPTree (%)	Ord.REPTree (%)	Ada.Ord.	Bag.Ord.
			REPTree	REPTree
			(%)	(%)
Auto MPG	75.38	76.63	81.91	81.16
Automobile	63.41	66.83	83.90	72.20
Bike Sharing	84.96	85.27	88.75	88.12
Car Evaluation	87.67	90.91	98.67	93.63
Car Sale Advertisements	80.70	80.42	82.52	82.30
NYS Air Passenger Traffic	84.34	84.91	86.74	87.31
Road Traffic Accidents (2017)	84.66	85.02	80.07	84.57
SF Air Traffic Landings Statistics	98.04	98.10	99.12	98.57
SF Air Traffic Passenger Statistics	90.39	90.49	90.97	91.25
Smart City Traffic Patterns	84.66	85.06	85.33	86.38
Statlog (Vehicle Silhouettes)	72.34	69.62	77.54	73.17
Traffic Volume Counts (2012-2013)	80.57	88.75	86.39	89.37
Average	82.26	83.50	86.83	85.67