From: DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning
 | Accuracy | F1-score | AUROC | AUPR | MCC |
---|---|---|---|---|---|
DeepM6ASeq | 0.764 | 0.762 | 0.844 | 0.831 | 0.528 |
Random forest | 0.747 | 0.756 | 0.826 | 0.809 | 0.494 |
Logistic regression | 0.743 | 0.736 | 0.824 | 0.807 | 0.487 |
Support vector machine | 0.736 | 0.732 | 0.818 | 0.802 | 0.472 |