Research Article
Adaptive Ensemble with Human Memorizing Characteristics for Data Stream Mining
Table 4
Results of average chunk training time
10
ā3 second
.
| Dataset | Win | SEA | AWE | ACE | MAE |
| SEA | 1.43 | 6.93 | 4.44 | 14.99 | 14.75 | Tree | 4.86 | 10.95 | 8.42 | 37.01 | 19.38 | Hyp | 6.39 | 12.24 | 9.67 | 42.88 | 20.70 | RBF | 16.50 | 22.23 | 19.71 | 77.93 | 30.80 | LED | 5.74 | 12.68 | 9.56 | 23.81 | 22.30 | Adult | 2.79 | 6.06 | 5.73 | 28.96 | 10.11 | Bank | 1.86 | 7.96 | 5.81 | 13.84 | 10.95 | Conn | 4.56 | 9.11 | 7.29 | 21.05 | 14.04 | Cover | 6.96 | 12.62 | 10.14 | 80.92 | 20.56 | EEG | 2.41 | 5.11 | 3.97 | 13.76 | 7.85 | Elec | 2.10 | 7.08 | 4.89 | 20.02 | 11.15 | Page | 3.02 | 7.15 | 4.78 | 12.09 | 4.73 | Poker | 2.19 | 7.90 | 5.40 | 48.55 | 16.38 | Person | 2.63 | 9.87 | 7.61 | 15.25 | 12.33 | Robot | 9.82 | 13.01 | 11.24 | 20.72 | 13.54 |
| Mean | 4.88 | 10.06 | 7.91 | 31.45 | 15.30 |
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