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Table 4 Performance on imbalanced datasets using deep neural network classifier

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

Features setVector lengthP(+): N(−)Sensitivity (%)Specificity (%)Accuracy (%)PPV (%)MCCF1 score (%)AUC
Selected Features For PAAC _Network properties161: 185.6186.5786.3386.910.7386.150.899
Selected Features For PAAC _Network properties161: 277.8992.5687.8184.640.7280.720.900
Selected Features For PAAC _Network properties161: 372.3494.5489.0381.700.7076.530.902
Selected Features For PAAC _Network properties161: 468.8995.4690.2079.200.6873.520.897
Selected Features For PAAC _Network properties161: 569.0095.1390.8574.440.6671.250.895
Selected Features For Normalized And Filtered PAAC_ Network properties101: 184.6287.6386.4488.060.7386.000.894
Selected Features For Normalized And Filtered PAAC_ Network properties101: 276.7692.9487.6284.410.7280.250.895
Selected Features For Normalized And FilteredPAAC_ Network properties101: 374.3593.5288.9180.400.7076.880.895
Selected Features For Normalized And Filtered PAAC_ Network properties101: 467.3996.2790.5782.680.6973.660.897
Selected Features For Normalized And Filtered PAAC_ Network properties101: 567.5296.0191.3177.950.6771.970.895
  1. The notable performances are indicated by bold