Acceptance Prediction for Answers on Online Health-care Community

BMC Bioinformatics

Table 4 Model results

	Model	F1-score	AUC	Accuracy	Recall	Precision
Textual features	LSTM-GBC	0.396 ±0.022	0.626 ±0.020	0.628 ±0.011	0.313 ±0.022	0.540 ±0.025
	MLP-GBC	0.349 ±0.008	0.619 ±0.016	0.627 ±0.009	0.257 ±0.006	0.545 ±0.027
Numerical features	GBC	0.729 ±0.015	0.859 ±0.015	0.803 ±0.009	0.677 ±0.027	0.791 ±0.015
All features	LSTM-GBC	0.734 ±0.023	0.862 ±0.012	0.804 ±0.016	0.694 ±0.025	0.779 ±0.023
	MLP-GBC	0.746 ±0.011	0.864 ±0.010	0.809 ±0.009	0.721 ±0.009	0.772 ±0.019

the significance means for each metric, which model performs better than the other models

ISSN: 1471-2105