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Table 1 Performance of DeepEP and other shallow machine learning–based methods with different ratios

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

Machine learning algorithmsAccuracyPrecisionRecallF-measureAUC
SVM (raw dataset)0.8090.710.120.210.72
SVM (1:1)0.8130.750.140.230.75
Decision tree (raw dataset)0.6980.310.390.350.58
Decision tree (1:1)0.7810.470.540.500.69
Random forest (raw dataset)0.8090.630.170.270.70
Random forest (1:1)0.8430.740.310.430.78
Adaboost (raw dataset)0.8050.540.340.420.73
Adaboost (1:1)0.7850.470.390.430.75
Naïve Bayes (raw dataset)0.7500.400.440.420.70
Naïve Bayes (1:1)0.7730.410.460.440.71
DeepEP0.8260.580.520.550.82