Table 4 Summary of trading results
From: DeConFuse: a deep convolutional transform-based unsupervised fusion framework
Method | Precision | Recall | F1score | AUC | MAEAR |
|---|---|---|---|---|---|
DeConFuse | 0.520 | 0.810 | 0.628 | 0.543 | 17.350 |
ConvTimeNet | 0.510 | 0.457 | 0.413 | 0.524 | 19.410 |
TimeNet | 0.470 | 0.648 | 0.490 | 0.513 | 18.760 |