Skip to main content
. 2022 May 5:1–13. Online ahead of print. doi: 10.1007/s00371-022-02492-4

Table 3.

Comparison of different metadata encoders (private dataset)

Methods Acc1 Acc2 Spe Sen F1 AUC
Word2vec 0.313 0.750 0.967 0.746 0.718 0.944
One-hot Encoder 0.401 0.763 0.962 0.783 0.745 0.947
Soft Label Encoder 0.473 0.777 0.973 0.804 0.788 0.964

The bold values represent the best results in the metrics. This can make more readable and make it easier to compare the results of different methods. This also highlights the effectiveness of the proposed method