Research Article
Adaptive Online Sequential ELM for Concept Drift Tackling
Table 4
Average testing accuracy and Cohen’s kappa in % for MNIST VD experiment (other ELM parameters are same: ROS,
,
) with 10x trials.
(a) Benchmark result, nonadaptive OS-ELM and offline ELM |
| Performance | ELM method | () | () | () |
| Testing accuracy | OS-ELM | 95.32 ± 0.12 | 94.64 ± 0.15 | 96.86 ± 0.13 | Offline ELM | 95.33 ± 0.13 | 94.66 ± 0.15 | 96.85 ± 0.06 |
| Cohen’s kappa | OS-ELM | 94.80 (0.24) | 94.04 (0.25) | 96.51 (0.19) | Offline ELM | 94.81 (0.23) | 94.06 (0.25) | 96.50 (0.19) |
|
|
(b) VD experiment, AOS-ELM () |
| Drift | Testing accuracy | Cohen’s kappa |
| MNIST MNIST | 96.15 ± 0.08 | 95.72 (0.21) |
|
|