Continual Learning on PowerConsumption
61Average AccuracyMAGIC Net
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAGIC NetDetector Precision=70%, Detector Recall=100%2026.03 | 61 | -0.28 | |
| cPNNDetector Precision=70%, Detector Recall=100%2026.03 | 60 | -0.18 | |
| MAGIC NetDetector Precision=100%, Detector Recall=100%2026.03 | 55 | -0.35 | |
| cPNNDetector Precision=100%, Detector Recall=100%2026.03 | 51 | -0.32 | |
| MAGIC NetDetector Precision=100%, Detector Recall=70%2026.03 | 50 | -0.42 | |
| cPNNDetector Precision=100%, Detector Recall=70%2026.03 | 47 | -0.39 | |
| cGRUDetector Precision=100%, Detector Recall=100%2026.03 | 18 | -0.86 | |
| cGRUDetector Precision=100%, Detector Recall=70%2026.03 | 18 | -0.86 | |
| cGRUDetector Precision=70%, Detector Recall=100%2026.03 | 18 | -0.86 | |
| ARF_TDetector Precision=100%, Detector Recall=100%2026.03 | 9 | -0.31 | |
| ARF_TDetector Precision=100%, Detector Recall=70%2026.03 | 9 | -0.31 | |
| ARF_TDetector Precision=70%, Detector Recall=100%2026.03 | 9 | -0.31 | |
| ARFDetector Precision=100%, Detector Recall=100%2026.03 | 7 | -0.35 | |
| ARFDetector Precision=100%, Detector Recall=70%2026.03 | 7 | -0.35 | |
| ARFDetector Precision=70%, Detector Recall=100%2026.03 | 7 | -0.35 |