Prequential classification on PowerConsumption
0.68Cohen's Kappa (Start)MAGIC Net
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAGIC NetDetector Precision=100%, Detector Recall=100%2026.03 | 0.68 | 0.77 | |
| MAGIC NetDetector Precision=100%, Detector Recall=70%2026.03 | 0.67 | 0.76 | |
| MAGIC NetDetector Precision=70%, Detector Recall=100%2026.03 | 0.67 | 0.77 | |
| cPNNDetector Precision=100%, Detector Recall=100%2026.03 | 0.66 | 0.71 | |
| cPNNDetector Precision=100%, Detector Recall=70%2026.03 | 0.65 | 0.7 | |
| cPNNDetector Precision=70%, Detector Recall=100%2026.03 | 0.65 | 0.7 | |
| cGRUDetector Precision=100%, Detector Recall=100%2026.03 | 0.59 | 0.7 | |
| cGRUDetector Precision=70%, Detector Recall=100%2026.03 | 0.59 | 0.7 | |
| cGRUDetector Precision=100%, Detector Recall=70%2026.03 | 0.58 | 0.7 | |
| ARFDetector Precision=100%, Detector Recall=100%2026.03 | 0.25 | 0.29 | |
| ARFDetector Precision=70%, Detector Recall=100%2026.03 | 0.25 | 0.29 | |
| ARFDetector Precision=100%, Detector Recall=70%2026.03 | 0.24 | 0.28 | |
| ARF_TDetector Precision=100%, Detector Recall=100%2026.03 | 0.22 | 0.28 | |
| ARF_TDetector Precision=70%, Detector Recall=100%2026.03 | 0.22 | 0.28 | |
| ARF_TDetector Precision=100%, Detector Recall=70%2026.03 | 0.21 | 0.27 |