TABLE 3.
Model performances of prediction models for classification task.
| Model | SEN | SPE | MCC | ACC | AUC |
|---|---|---|---|---|---|
| DeepMDS | 0.95 | 0.93 | 0.88 | 0.94 | 0.97 |
| GBM | 0.87 | 0.85 | 0.72 | 0.86 | 0.92 |
| SVM | 0.81 | 0.85 | 0.66 | 0.83 | 0.89 |
| RF | 0.74 | 0.82 | 0.56 | 0.78 | 0.83 |
| KNN | 0.75 | 0.71 | 0.46 | 0.73 | 0.76 |
| DeepSynergy | 0.57 | 0.95 | NA | 0.92 | 0.90 |
Note: The columns showed sensitivity (SEN), specificity (SPE), Matthews correlation coefficient (MCC), accuracy (ACC), and the performance measures area under ROC, curve (AUC). “NA” indicated that no MCC, data was provided in literature.