Research Article

EBOC: Ensemble-Based Ordinal Classification in Transportation

Table 4

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

DatasetRandomOrd.RandomAda.Ord.Bag.Ord.
TreeTreeRandomTreeRandomTree
(%)(%)(%)(%)

Auto MPG77.6481.66 82.66 81.41

Automobile76.5974.6383.41 84.88

Bike Sharing80.0780.56 86.98 87.73

Car Evaluation83.1685.94 97.22 95.83

Car Sale Advertisements82.3882.1283.90 86.34

NYS Air Passenger Traffic86.1186.17 85.6186.49

Road Traffic Accidents (2017)78.7678.4482.21 84.48

SF Air Traffic Landings Statistics97.3897.43 98.93 98.83

SF Air Traffic Passenger Statistics89.2289.27 89.0589.17

Smart City Traffic Patterns82.2682.79 84.72 85.91

Statlog (Vehicle Silhouettes)70.9265.6076.71 76.00

Traffic Volume Counts (2012-2013)82.9683.45 89.77 89.69

Average82.2982.3486.7687.23