Table 4 Training classification performance of DEEPLYESSENTIAL on GP, GN, GP+GN
From: DeeplyEssential: a deep neural network for predicting essential genes in microbes
Metric | GP | GN | GP+GN |
|---|---|---|---|
AUC | 0.838 | 0.823 | 0.842 |
Sensitivity | 0.741 | 0.784 | 0.801 |
Specificity | 0.758 | 0.708 | 0.721 |
PPV | 0.774 | 0.722 | 0.749 |
Accuracy | 0.749 | 0.745 | 0.762 |