A deep learning framework for identifying essential proteins based on multiple biological information

BMC Bioinformatics

Table 6 The performance of our method and other machine learning method

Method	Accuracy	Precision	Recall	F1 score	Specificity	NPV
Our method	0.9048	0.7306	0.7885	0.7585	0.9320	0.9496
DeepEP	0.7629	0.4450	0.6831	0.5390	0.7832	0.9067
AdaBoost	0.7179	0.2597	0.2643	0.2620	0.8239	0.8273
Decision Tree	0.7588	0.4049	0.5815	0.4774	0.8002	0.8911
Naive Bayes	0.4766	0.2403	0.8150	0.3711	0.3975	0.9019
Logistic Regression	0.4332	0.2341	0.8767	0.3695	0.3296	0.9195
Random Forest	0.6569	0.2051	0.2819	0.2375	0.7446	0.8160
SVM	0.7905	0.4545	0.5286	0.4888	0.8517	0.8854

ISSN: 1471-2105