Research Article

ADES: A New Ensemble Diversity-Based Approach for Handling Concept Drift

Table 1

Prediction accuracy and CPU time of the four algorithms on both artificial and real-world datasets.

DatasetADESDDDDynseESDE
AccuracyCPU-timeAccuracyCPU-timeAccuracyCPU-timeAccuracyCPU-time

Hyperplane92.12 (1)33.2 (1)74.27 (3)39.6 (3)81.6 (2)36.48 (2)71.33 (4)48.34 (4)
Stagger84.53 (2)48.53 (1)66.85 (3)52.48 (3)86.47 (1)50.32 (2)64.89 (4)64.53 (4)
LED79.34 (1)63.27 (2)75.38 (2)53.16 (1)71.29 (3)49.34 (1)68.43 (4)128.45 (4)
Waveform81.48 (3)83.36 (2)83.47 (1)113.32 (3)84.34 (2)78.23 (1)62.85 (4)124.54 (4)
Covertype87.38 (2)73.39 (1)81.43 (3)124.63 (4)89.39 (1)93.47 (2)71.23 (4)85.67 (3)
Airlines79.63 (1)54.34 (2)76.57 (2)52.34 (1)74.73 (3)83.34 (4)67.43 (4)78.45 (3)
Amazon89.37 (1)47.53 (1)76.89 (3)64.39 (3)84.63 (2)57.46 (2)72.34 (4)69.48 (4)
Pokerhand79.84 (1)39.56 (2)74.67 (3)37.28 (1)76.43 (2)73.48 (4)70.37 (4)67.48 (3)
Average rank1.51.52.52.382.02.54.03.38