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Table 2 Mixed features based performance on disease and non-disease associated proteins dataset

From: Identification of infectious disease-associated host genes using machine learning techniques

Mixed features
Features setMethodsVector lengthP(+): N(−)Sensitivity (%)Specificity (%)Accuracy (%)PPV (%)MCCF1 score (%)AUC
AAC_Network propertiesDNN291: 182.2388.3085.4188.100.7184.910.900
PAAC_Network propertiesDNN591: 186.0087.4886.9487.930.7486.760.909
AAC_PAAC_ Network propertiesDNN791: 186.8185.2786.1285.890.7286.250.905
Normalized And Filtered AAC_Network propertiesDNN261: 183.7886.9085.5186.950.7185.210.904
Normalized And Filtered PAAC_Network propertiesDNN411: 185.5486.4686.0886.520.7285.960.902
Normalized And Filtered AAC_PAAC_Network propertiesDNN601: 185.5487.3686.5687.680.7386.450.909
  1. The notable performances are indicated by bold