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. 2022 Oct 27;13:26. doi: 10.1186/s13326-022-00280-6

Table 2.

Precision, recall and F1-score for both the corresponding test set and the respective other test set (i.e., cross evaluation)

Algorithm Train set Test set Precision[%] Recall[%] F1-Score[%]
BioBERT NCBI NCBI 84.62 90.09 87.27
BC5CDR 69.77 67.75 68.75
BC5CDR NCBI 73.63 63.19 68.01
BC5CDR 82.07 85.39 83.07
TaggerOne NCBI NCBI 83.46 82.66 83.06
BC5CDR 70.01 40.75 51.51
BC5CDR NCBI 68.30 56.38 61.77
BC5CDR 83.59 80.67 82.11
scispaCy BC5CDR NCBI 65.65 57.49 61.30
BC5CDR 76.20 75.22 75.71
DNorm NCBI NCBI 80.80 81.90 81.35
BC5CDR 65.73 50.29 56.98
Stanza NCBI NCBI 86.65 88.54 87.58
BC5CDR 70.24 57.78 63.40
BC5CDR NCBI 75.57 62.50 68.42
BC5CDR 82.85 84.95 83.88
HUNER NCBI NCBI 83.82 86.35 85.07
BC5CDR 70.20 64.92 67.46
BC5CDR NCBI 77.84 69.90 73.66
BC5CDR 83.07 83.52 83.30