Fig. 3: Performance comparison in terms of class-average F1, Accuracy (Acc), Area Under the Receiver Operating Characteristic Curve (AUC), Recall, and Precision (Prec). | Communications Engineering

Fig. 3: Performance comparison in terms of class-average F1, Accuracy (Acc), Area Under the Receiver Operating Characteristic Curve (AUC), Recall, and Precision (Prec).

From: Transforming label-efficient decoding of healthcare wearables with self-supervised learning and “embedded” medical domain expertise

Fig. 3

We compared the performance on the test subset, based on the model with the best F1 score on the validation subset. The values are normalized by the deviation from the best performance for each respective metric.

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