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Table 4 Model results

From: Acceptance Prediction for Answers on Online Health-care Community

 ModelF1-scoreAUCAccuracyRecallPrecision
Textual featuresLSTM-GBC0.396 ±0.0220.626 ±0.0200.628 ±0.0110.313 ±0.0220.540 ±0.025
 MLP-GBC0.349 ±0.0080.619 ±0.0160.627 ±0.0090.257 ±0.0060.545 ±0.027
Numerical featuresGBC0.729 ±0.0150.859 ±0.0150.803 ±0.0090.677 ±0.0270.791 ±0.015
All featuresLSTM-GBC0.734 ±0.0230.862 ±0.0120.804 ±0.0160.694 ±0.0250.779 ±0.023
 MLP-GBC0.746 ±0.0110.864 ±0.0100.809 ±0.0090.721 ±0.0090.772 ±0.019
  1. the significance means for each metric, which model performs better than the other models