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Table 2.
Comparison of different methodologies for regression and classification downstream tasks.
| Model | Loss function | Key features |
|---|---|---|
| Supervised CNN | MSE/BCE | Non-linear, deep feature extraction; trained on labelled data. |
| Linear Model | MSE/Log Loss | Simple regression, assumes linear relationships, trained on embeddings. |
| MLP Model | Huber/BCE | Deep architecture, trained on embeddings. |
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