Table 7 Performance metrics (with 95% CI) of ensemble models.
From: PatternFusion: a hybrid model for pattern recognition in time-series data using ensemble learning
Model | Accuracy | Precision | Recall | F1-score |
|---|---|---|---|---|
LSTM | 0.77 ± 0.05 | 0.85 ± 0.06 | 0.73 ± 0.05 | 0.71 ± 0.04 |
CNN | 0.82 ± 0.04 | 0.70 ± 0.05 | 0.87 ± 0.03 | 0.74 ± 0.03 |
Transformer | 0.76 ± 0.05 | 0.79 ± 0.05 | 0.82 ± 0.02 | 0.76 ± 0.03 |
Prophet | 0.79 ± 0.04 | 0.74 ± 0.06 | 0.82 ± 0.03 | 0.82 ± 0.02 |
ARIMA | 0.71 ± 0.06 | 0.89 ± 0.04 | 0.76 ± 0.02 | 0.84 ± 0.03 |
PatternFusion | 0.86 ± 0.03 | 0.85 ± 0.04 | 0.88 ± 0.03 | 0.88 ± 0.03 |
