. 2022 Sep 28;10(9):e38140. doi: 10.2196/38140

Table 2.

Average performance of 10 runs on the validation set. Italics represent the best model for each performance metric.

Model	Precision (SD)	Recall (SD)	F1 score (SD)
Random	0.099 (0.01)	0.103 (0.01)	0.101 (0.01)
SVM^a	0.386 (0)	0.638 (0)	0.481 (0)
CLAPA^b	0.581 (0.03)	0.623 (0.03)	0.599 (0.01)
BERT^c	0.54 (0.03)	0.602 (0.04)	0.567 (0.01)
baCLAPA^d	0.603 (0.02)	0.652 (0.03)	0.625 (0.007)

^aSVM: support vector machine.

^bCLAPA: collocated long short-term memory with attentive pooling and aggregated representation.

^cBERT: bidirectional encoder representations from transformers.

^dbaCLAPA: bidirectional encoder representations from transformers–assisted collocated long short-term memory with attentive pooling and aggregated representation.