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. 2021 Mar 22;12:630379. doi: 10.3389/fgene.2021.630379

Table 2.

Comparison with other feature fusion method and MEL-MP.

Method Precision Recall F-score
Direct combination
LR 0.836 0.822 0.823
RF 0.869 0.865 0.865
SVM 0.833 0.830 0.827
Auto-encoder + LR 0.664 0.650 0.651
Auto-encoder + RF 0.787 0.783 0.777
Auto-encoder + SVM 0.767 0.767 0.757
Multimodal deep auto-encoder
Multimodal auto-encoder + LR 0.841 0.832 0.831
Multimodal auto-encoder + RF 0.883 0.881 0.879
Multimodal auto-encoder + SVM 0.860 0.857 0.854
Stacked ensemble
MEL-MP 0.895 0.893 0.892

Each feature fusion method is shown in bold, and the experimental results of MEL-MP are also shown in bold.