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Table 3 Performance of DeepEP and comparing methods (models with different ratios (1:1, 1:1.5, 1:2, 1:2.5 and 1:3) and a model which uses raw dataset for training)

From: DeepEP: a deep learning framework for identifying essential proteins

Ratios (Essential VS non-essential)AccuracyPrecisionRecallF-measureAUC
1: 10.7320.4080.6740.5080.783
1: 1.50.7580.4370.6050.5070.785
1: 20.7840.4790.5450.5100.791
1: 2.50.7960.5040.5180.5110.783
1: 30.8010.5210.4490.4820.788
Raw dataset0.8320.6750.3530.4630.803
Our method0.8260.5840.5240.5520.816