Table 7.
The comparison results of MLMDA model, descriptor MLMDA_ds model and descriptor MLMDA _sim model by Random forest classifier
| Descriptor | Accuracy (%) | Recall (%) | Precision (%) | F1-score (%) | AUC (%) |
|---|---|---|---|---|---|
| MLMDA _ds | 78.58 | 78.30 | 78.76 | 78.51 | 82.50 |
| MLMDA _sim | 79.38 | 85.61 | 76.15 | 80.59 | 89.60 |
| MLMDA | 83.77 | 78.82 | 87.68 | 82.90 | 91.72 |
MLMDA obtains the highest value in the evaluation criteria (italics)