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Table 3 Selected features wise performance measures using different classifier

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

Features setMethodsVector lengthP(+): N(−)Sensitivity (%)Specificity (%)Accuracy (%)PPV (%)MCCF1 score (%)AUC
Selected Features For PAAC_Network propertiesDNN161: 185.6186.5786.3386.910.7386.150.899
Selected Features For PAAC_Network propertiesSVM161: 178.0387.8782.9586.400.6681.810.862
Selected Features For PAAC_Network propertiesRF161: 183.9388.0385.9887.520.7285.690.916
Selected Features For PAAC_Network propertiesNB161: 178.0388.0383.0386.700.6682.140.904
Selected Features For AAC_PAAC_Network propertiesDNN241: 184.7288.0886.6087.970.7386.180.907
Selected Features For AAC_PAAC_Network propertiesSVM241: 180.0087.8783.9386.640.6883.010.881
Selected Features For AAC_PAAC_Network propertiesRF241: 182.6287.7085.1687.050.7084.780.918
Selected Features For AAC_PAAC_Network propertiesNB241: 178.5288.3683.4487.090.6782.590.911
Selected Features For Normalized And Filtered PAAC_Network propertiesDNN101: 184.6287.6386.4488.060.7386.000.894
Selected Features For Normalized And Filtered PAAC_Network propertiesSVM101: 177.5487.7082.6286.340.6681.480.880
Selected Features For Normalized And Filtered PAAC_Network propertiesRF101: 181.1586.3983.7785.640.6883.330.910
Selected Features For Normalized And Filtered PAAC_Network propertiesNB101: 176.2391.3183.7789.770.6882.450.896
Selected Features For Normalized And Filtered AAC_PAAC_Network propertiesDNN251: 187.0385.0786.4586.770.7386.660.908
Selected Features For Normalized And Filtered AAC_PAAC_Network propertiesSVM251: 178.8588.5283.6987.070.6882.560.889
Selected Features For Normalized And Filtered AAC_PAAC_Network propertiesRF251: 181.6486.7284.1886.010.6883.770.911
Selected Features For Normalized And Filtered AAC_PAAC_Network propertiesNB251: 177.3889.6783.5288.220.6882.450.908
  1. The notable performances are indicated by bold