Table 9 Comparison with transformer-based models (Informer, Autoformer).
From: PatternFusion: a hybrid model for pattern recognition in time-series data using ensemble learning
Model | Dataset | Accuracy (%) | F1-score (%) | AUC (%) | EER (%) |
|---|---|---|---|---|---|
Informer | PUT | 93.5 | 92.1 | 94.8 | 1.9 |
PolyU | 92.8 | 91.4 | 94.2 | 2.2 | |
BioCop | 91.6 | 90.7 | 93.5 | 2.4 | |
Autoformer | PUT | 94.3 | 92.9 | 95.4 | 1.7 |
PolyU | 93.7 | 92.3 | 95.0 | 1.9 | |
BioCop | 92.9 | 91.6 | 94.3 | 2.1 | |
PatternFusion | PUT | 96.4 | 94.9 | 98.1 | 1.2 |
PolyU | 95.8 | 93.7 | 97.6 | 1.5 | |
BioCop | 94.7 | 92.5 | 96.3 | 1.8 |
