Research Article

An Adaptive Heterogeneous Online Learning Ensemble Classifier for Nonstationary Environments

Table 1

Predictive accuracies (%) of HDES-AD, DDD, OAUE, and AFWE.

DatasetHDES-ADDDDOAUEAFWE
AccCPUAccCPUAccCPUAccuracyCPU

Random89.12 (1)101.281.27 (2)106.278.69 (4)104.680.33 (3)103.4
SEA83.23 (1)89.374.35 (3)103.480.43 (2)93.573.89 (4)106.7
LED81.34 (2)134.676.54 (4)159.682.34 (1)148.376.67 (3)138.4
Waveform84.47 (1)119.372.87 (3)126.273.27 (3)134.279.65 (2)118.2
Covertype85.59 (1)108.378.43 (4)114.682.35 (2)113.471.23 (4)139.3
SpamAssassin78.93 (1)120.273.17 (3)128.369.74 (4)142.774.43 (2)134.4
KDD9980.37 (1)112.473.89 (4)125.374.38 (3)122.376.34 (2)138.2
Poker Hand76.87 (2)104.678.67 (1)115.27325 (3)116.971.26 (4)139.4
Average ranks1.253.02.753.0