Skip to main content

Table 6 Comparing the effect of clustering on the prediction performance of DEEPLYESSENTIAL on the GP+GN dataset

From: DeeplyEssential: a deep neural network for predicting essential genes in microbes

Metric Non-clustered Clustered Difference (%)
AUC 0.842 0.786 7.12%
Sensitivity 0.801 0.780 2.69%
Specificity 0.721 0.646 11.60%
PPV 0.749 0.688 8.86%
Accuracy 0.762 0.713 6.87%
\